[{"data":1,"prerenderedAt":1358},["ShallowReactive",2],{"blog-category-hu-security":3},[4,80,151,209,252,357,439,523,597,658,707,768,822,877,935,984,1034,1086,1180,1217,1282],{"slug":5,"published":6,"minutes":7,"category":8,"tags":9,"tagPages":15,"keywords":18,"about":31,"sources":39,"cover":70,"og":71,"expertise":72,"locales":73,"lang":76,"title":77,"description":78,"coverAlt":79},"llm-output-guardrails-moderation","2026-10-17",13,"security",[10,11,12,13,14],"LLM security","Guardrails","Content moderation","OWASP","Output validation",[16,17],"llm-security","guardrails",[19,20,21,22,23,24,25,26,27,28,29,30],"llm kimenet guardrailek","helytelen kimenetkezelés llm","owasp llm05","openai moderációs api","omni-moderation-latest","llama guard 4","nemo guardrails streaming","markdown kép adatkiszivárogtatás","llm kimenet html tisztítás","megalapozottság-detektálás","llm tartalommoderáció éles rendszerben","output rails",[32,34,37],{"name":12,"url":33},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FContent_moderation",{"name":35,"url":36},"Cross-site scripting","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FCross-site_scripting",{"name":13,"url":38},"https:\u002F\u002Fowasp.org\u002F",[40,43,46,49,52,55,58,61,64,67],{"title":41,"url":42},"OWASP GenAI Security Project: LLM05:2025 Improper Output Handling","https:\u002F\u002Fgenai.owasp.org\u002Fllmrisk\u002Fllm052025-improper-output-handling\u002F",{"title":44,"url":45},"OpenAI API Docs: Moderation","https:\u002F\u002Fplatform.openai.com\u002Fdocs\u002Fguides\u002Fmoderation",{"title":47,"url":48},"Meta: Llama Guard 4 model card and prompt formats","https:\u002F\u002Fwww.llama.com\u002Fdocs\u002Fmodel-cards-and-prompt-formats\u002Fllama-guard-4\u002F",{"title":50,"url":51},"NVIDIA NeMo Guardrails: Output rail streaming configuration","https:\u002F\u002Fdocs.nvidia.com\u002Fnemo\u002Fguardrails\u002Fconfigure-guardrails\u002Fyaml-schema\u002Fstreaming\u002Foutput-rail-streaming.md",{"title":53,"url":54},"Microsoft Learn: Prompt Shields in Azure AI Content Safety","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcontent-safety\u002Fconcepts\u002Fjailbreak-detection",{"title":56,"url":57},"Microsoft Learn: Groundedness detection in Azure AI Content Safety","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcontent-safety\u002Fconcepts\u002Fgroundedness",{"title":59,"url":60},"Microsoft Learn: Protected material detection in Azure AI Content Safety","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcontent-safety\u002Fconcepts\u002Fprotected-material",{"title":62,"url":63},"Guardrails AI documentation","https:\u002F\u002Fwww.guardrailsai.com\u002Fdocs",{"title":65,"url":66},"Vue.js docs: Security best practices","https:\u002F\u002Fvuejs.org\u002Fguide\u002Fbest-practices\u002Fsecurity.html",{"title":68,"url":69},"Simon Willison: Remote prompt injection in GitLab Duo leads to source code theft","https:\u002F\u002Fsimonwillison.net\u002F2025\u002FMay\u002F23\u002Fremote-prompt-injection-in-gitlab-duo\u002F","\u002Fimages\u002Fblog\u002Fllm-output-guardrails-moderation\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fllm-output-guardrails-moderation\u002Fog.jpg","ai-engineer",[74,75,76],"en","de","hu","LLM output guardrailek: moderáció, biztonságos megjelenítés és ellenőrzés, mielőtt bármi történne","Mit kell ellenőrizni a modell válasza után: biztonságos Markdown, sémaellenőrzés műveletek előtt, moderációs osztályozók, streaming és megalapozottság.","LLM output guardrailek: csapvíz folyik egy szűrőkancsón át tiszta pohárba, fent kavicsok akadnak meg.",{"slug":81,"published":6,"minutes":82,"category":8,"tags":83,"tagPages":87,"keywords":88,"about":100,"sources":108,"cover":145,"og":146,"expertise":72,"locales":147,"lang":76,"title":148,"description":149,"coverAlt":150},"ai-red-teaming-checklist-llm-apps",12,[84,10,13,85,86],"AI red teaming","promptfoo","Penetration testing",[16],[89,90,91,92,93,94,95,96,97,98,99],"ai red teaming ellenőrzőlista","llm biztonsági tesztelés","llm alkalmazások red teaming","owasp genai red teaming útmutató","promptfoo red team","garak llm scanner","pyrit red teaming","llm behatolásteszt","owasp top 10 llm 2025 tesztelés","jailbreak tesztelés llm alkalmazás","rag chatbot biztonsági tesztelés",[101,104,107],{"name":102,"url":103},"Red team","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FRed_team",{"name":105,"url":106},"Prompt injection","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPrompt_injection",{"name":13,"url":38},[109,112,115,118,121,124,127,130,133,136,139,142],{"title":110,"url":111},"OWASP GenAI Security Project: GenAI Red Teaming Guide (January 2025)","https:\u002F\u002Fgenai.owasp.org\u002Fresource\u002Fgenai-red-teaming-guide\u002F",{"title":113,"url":114},"OWASP GenAI Security Project: Top 10 for LLM Applications 2025","https:\u002F\u002Fgenai.owasp.org\u002Fllm-top-10\u002F",{"title":116,"url":117},"Bullwinkel et al. (Microsoft): Lessons From Red Teaming 100 Generative AI Products (2025)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2501.07238",{"title":119,"url":120},"NIST AI 600-1: Generative Artificial Intelligence Profile (July 2024)","https:\u002F\u002Fnvlpubs.nist.gov\u002Fnistpubs\u002Fai\u002FNIST.AI.600-1.pdf",{"title":122,"url":123},"Promptfoo Docs: Red team quickstart","https:\u002F\u002Fwww.promptfoo.dev\u002Fdocs\u002Fred-team\u002Fquickstart\u002F",{"title":125,"url":126},"Promptfoo Docs: Red team configuration","https:\u002F\u002Fwww.promptfoo.dev\u002Fdocs\u002Fred-team\u002Fconfiguration\u002F",{"title":128,"url":129},"Promptfoo Docs: Red team plugins","https:\u002F\u002Fwww.promptfoo.dev\u002Fdocs\u002Fred-team\u002Fplugins\u002F",{"title":131,"url":132},"Promptfoo Docs: Red team strategies","https:\u002F\u002Fwww.promptfoo.dev\u002Fdocs\u002Fred-team\u002Fstrategies\u002F",{"title":134,"url":135},"NVIDIA garak: LLM vulnerability scanner (GitHub)","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fgarak",{"title":137,"url":138},"Microsoft PyRIT documentation","https:\u002F\u002Fmicrosoft.github.io\u002FPyRIT\u002F",{"title":140,"url":141},"EU AI Act, Article 55: Obligations for providers of GPAI models with systemic risk","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F55\u002F",{"title":143,"url":144},"OWASP GenAI LLM Top 10 2026: final entries (GitHub)","https:\u002F\u002Fgithub.com\u002FGenAI-Security-Project\u002FGenAI-LLM-Top10\u002Ftree\u002Fmain\u002F2026\u002Ffinal","\u002Fimages\u002Fblog\u002Fai-red-teaming-checklist-llm-apps\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fai-red-teaming-checklist-llm-apps\u002Fog.jpg",[74,75,76],"AI red teaming ellenőrzőlista LLM-appokhoz: mit támadj meg, mielőtt a felhasználók tennék","Gyakorlati red teaming ellenőrzőlista LLM-funkciókhoz: hatókör, OWASP 2025 tesztesetek, promptfoo, garak és PyRIT, emberi tesztelők és regressziós tesztek.","MI red teaming LLM-appokhoz: sisakos ember ellenőrzőlistával áll egy várkapu előtt, mellette faltörő kos.",{"slug":152,"published":153,"minutes":154,"category":8,"tags":155,"tagPages":161,"keywords":163,"about":174,"sources":184,"cover":203,"og":204,"expertise":72,"locales":205,"lang":76,"title":206,"description":207,"coverAlt":208},"slopsquatting-ai-package-hallucinations","2026-10-16",6,[156,157,158,159,160],"Supply chain security","Coding agents","npm","PyPI","Package hallucination",[162],"coding-agents",[164,165,166,167,168,169,170,171,172,173],"slopsquatting","csomag hallucináció","ai által kitalált csomagok","llm csomag összetévesztési támadás","kódoló ügynök ellátási lánc biztonság","npm min-release-age","pnpm minimumreleaseage","uv exclude-newer","npm ignore-scripts","huggingface-cli kitalált csomag",[175,178,181],{"name":176,"url":177},"Typosquatting","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FTyposquatting",{"name":179,"url":180},"Supply chain attack","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FSupply_chain_attack",{"name":182,"url":183},"Hallucination (artificial intelligence)","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FHallucination_(artificial_intelligence)",[185,188,191,194,197,200],{"title":186,"url":187},"Spracklen et al.: We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs (2024)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2406.10279",{"title":189,"url":190},"Lasso Security, Bar Lanyado: Diving Deeper into AI Package Hallucinations (Mar 2024)","https:\u002F\u002Fwww.lasso.security\u002Fblog\u002Fai-package-hallucinations",{"title":192,"url":193},"npm Docs: config (min-release-age, before, ignore-scripts, allow-scripts)","https:\u002F\u002Fdocs.npmjs.com\u002Fcli\u002Fv11\u002Fusing-npm\u002Fconfig",{"title":195,"url":196},"pnpm: Dependency resolution settings (minimumReleaseAge)","https:\u002F\u002Fpnpm.io\u002Fsettings\u002Fdependency-resolution",{"title":198,"url":199},"uv: Settings reference (exclude-newer, require-hashes)","https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Freference\u002Fsettings\u002F",{"title":201,"url":202},"pip documentation: Secure installs and hash-checking mode","https:\u002F\u002Fpip.pypa.io\u002Fen\u002Fstable\u002Ftopics\u002Fsecure-installs\u002F","\u002Fimages\u002Fblog\u002Fslopsquatting-ai-package-hallucinations\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fslopsquatting-ai-package-hallucinations\u002Fog.jpg",[74,75,76],"Slopsquatting: amikor a kódoló ügynökök nem létező csomagokat telepítenek","Hogyan hallucinálnak az LLM-ek csomagneveket, hogyan regisztrálják őket a támadók, és mely registry-, lockfile- és ügynökkontrollok állítják meg?","Slopsquatting: robot egy horgos, üreges csomagért nyúl, mögötte a polcon egy valódi csomag.",{"slug":210,"published":153,"minutes":154,"category":8,"tags":211,"tagPages":215,"keywords":216,"about":227,"sources":233,"cover":246,"og":247,"expertise":72,"locales":248,"lang":76,"title":249,"description":250,"coverAlt":251},"rag-poisoning-knowledge-base-attacks",[212,213,105,13,214],"RAG security","Data poisoning","Vector database",[],[217,218,219,220,221,222,223,224,225,226],"rag mérgezés","tudásbázis mérgezés","poisonedrag","rag biztonság","közvetett prompt injection rag","owasp llm08 rag","vektoradatbázis biztonság","rag adatmérgezés elleni védelem","rejtett szöveges prompt injection","biztonságos rag betöltés",[228,231,232],{"name":229,"url":230},"Retrieval-augmented generation","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FRetrieval-augmented_generation",{"name":105,"url":106},{"name":13,"url":38},[234,237,240,243],{"title":235,"url":236},"Zou et al.: PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models (2024)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2402.07867",{"title":238,"url":239},"Greshake et al.: Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection (2023)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2302.12173",{"title":241,"url":242},"OWASP Gen AI Security Project: LLM08:2025 Vector and Embedding Weaknesses","https:\u002F\u002Fgenai.owasp.org\u002Fllmrisk\u002Fllm082025-vector-and-embedding-weaknesses\u002F",{"title":244,"url":245},"OWASP Gen AI Security Project: LLM04:2025 Data and Model Poisoning","https:\u002F\u002Fgenai.owasp.org\u002Fllmrisk\u002Fllm042025-data-and-model-poisoning\u002F","\u002Fimages\u002Fblog\u002Frag-poisoning-knowledge-base-attacks\u002Fcover.webp","\u002Fimages\u002Fblog\u002Frag-poisoning-knowledge-base-attacks\u002Fog.jpg",[74,75,76],"RAG-mérgezés: hogyan téríthet el néhány dokumentum egy asszisztenst, és hogyan védd a tudásbázist","Hogyan helyeznek el a támadók RAG által visszakeresett dokumentumokat, mit mutat a PoisonedRAG és az OWASP, és milyen kontrollok korlátozzák ezt.","RAG-mérgezés: egy kéz lefedi a kutat, amely fölött egy kis üveg csöpög.",{"slug":253,"published":254,"minutes":255,"category":8,"tags":256,"tagPages":262,"keywords":265,"about":274,"sources":284,"cover":351,"og":352,"expertise":72,"locales":353,"lang":76,"title":354,"description":355,"coverAlt":356},"coding-agent-secrets-hygiene","2026-10-08",11,[257,258,259,260,261],"AI agents","Secrets management","Claude Code","Pre-commit scanning","CI security",[263,264],"ai-agents","claude-code",[266,267,268,269,270,271,272,273],"kódoló ügynökök titkai","titkok távol tartása ai ügynököktől","claude code .env olvasás tiltása","gitleaks pre-commit hook","github push protection titkok","oidc github actions rövid életű hitelesítő adatok","kiszivárgott api kulcs cseréje","mcp szerver token hatókör",[275,278,281],{"name":276,"url":277},"Principle of least privilege","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPrinciple_of_least_privilege",{"name":279,"url":280},"Model Context Protocol","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FModel_Context_Protocol",{"name":282,"url":283},"Git","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FGit",[285,288,291,294,297,300,303,306,309,312,315,318,321,324,327,330,333,336,339,342,345,348],{"title":286,"url":287},"Claude Code: permissions","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fpermissions",{"title":289,"url":290},"Claude Code: sandboxed Bash","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fsandboxing",{"title":292,"url":293},"Claude Code: hooks","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fhooks",{"title":295,"url":296},"Claude Code: data usage","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fdata-usage",{"title":298,"url":299},"Claude Code: settings","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fsettings",{"title":301,"url":302},"Claude Code: MCP servers","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fmcp",{"title":304,"url":305},"Codex: configuration reference","https:\u002F\u002Fdevelopers.openai.com\u002Fcodex\u002Fconfig-reference",{"title":307,"url":308},"Codex: agent approvals and security","https:\u002F\u002Flearn.chatgpt.com\u002Fdocs\u002Fagent-approvals-security",{"title":310,"url":311},"Codex: advanced configuration","https:\u002F\u002Flearn.chatgpt.com\u002Fdocs\u002Fconfig-file\u002Fconfig-advanced",{"title":313,"url":314},"GitHub: about push protection","https:\u002F\u002Fdocs.github.com\u002Fen\u002Fcode-security\u002Fsecret-scanning\u002Fintroduction\u002Fabout-push-protection",{"title":316,"url":317},"GitHub: security hardening with OIDC","https:\u002F\u002Fdocs.github.com\u002Fen\u002Factions\u002Fsecurity-for-github-actions\u002Fsecurity-hardening-your-deployments\u002Fabout-security-hardening-with-openid-connect",{"title":319,"url":320},"GitHub: OpenID Connect reference","https:\u002F\u002Fdocs.github.com\u002Fen\u002Factions\u002Freference\u002Fsecurity\u002Foidc",{"title":322,"url":323},"GitHub: using secrets in Actions","https:\u002F\u002Fdocs.github.com\u002Fen\u002Factions\u002Fsecurity-guides\u002Fusing-secrets-in-github-actions",{"title":325,"url":326},"GitHub: secure use reference","https:\u002F\u002Fdocs.github.com\u002Fen\u002Factions\u002Fsecurity-for-github-actions\u002Fsecurity-guides\u002Fsecurity-hardening-for-github-actions",{"title":328,"url":329},"GitHub: removing sensitive data","https:\u002F\u002Fdocs.github.com\u002Fen\u002Fauthentication\u002Fkeeping-your-account-and-data-secure\u002Fremoving-sensitive-data-from-a-repository",{"title":331,"url":332},"gitleaks: README and latest release","https:\u002F\u002Fgithub.com\u002Fgitleaks\u002Fgitleaks",{"title":334,"url":335},"TruffleHog: README","https:\u002F\u002Fgithub.com\u002Ftrufflesecurity\u002Ftrufflehog",{"title":337,"url":338},"detect-secrets: README and latest release","https:\u002F\u002Fgithub.com\u002FYelp\u002Fdetect-secrets",{"title":340,"url":341},"Model Context Protocol: security best practices","https:\u002F\u002Fmodelcontextprotocol.io\u002Fspecification\u002F2025-06-18\u002Fbasic\u002Fsecurity_best_practices",{"title":343,"url":344},"OWASP: Secrets Management Cheat Sheet","https:\u002F\u002Fcheatsheetseries.owasp.org\u002Fcheatsheets\u002FSecrets_Management_Cheat_Sheet.html",{"title":346,"url":347},"OWASP: LLM02 sensitive information disclosure","https:\u002F\u002Fgenai.owasp.org\u002Fllmrisk\u002Fllm022025-sensitive-information-disclosure\u002F",{"title":349,"url":350},"Git: git-add documentation","https:\u002F\u002Fgit-scm.com\u002Fdocs\u002Fgit-add","\u002Fimages\u002Fblog\u002Fcoding-agent-secrets-hygiene\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fcoding-agent-secrets-hygiene\u002Fog.jpg",[74,75,76],"Kódoló ügynökök és titkok: kulcsok a kontextuson, logokon és commitokon kívül","Hogyan szivárognak a titkok kódoló ügynökökön át, és mely kontrollok állítják meg: olvasási tiltás, sandbox, pre-commit, push-védelem, OIDC és kulcscsere.","Kódoló ügynökök és titkok: egy robot laptopon gépel egy lezárt üvegdobozban lévő kulcs mellett.",{"slug":358,"published":359,"updated":360,"minutes":255,"category":8,"tags":361,"tagPages":367,"keywords":369,"about":378,"sources":391,"cover":433,"og":434,"expertise":72,"locales":435,"lang":76,"title":436,"description":437,"coverAlt":438},"works-council-ai-tools-austria-germany","2026-10-02","2026-10-10",[362,363,364,365,366],"Works council","AI coding tools","Employee monitoring","GDPR","Co-determination",[368],"gdpr",[370,371,372,373,374,375,376,377],"üzemi tanács ai eszközök","ai kódolóeszközök üzemi tanács","üzemi tanács ai társdöntés","§ 87 betrvg megfigyelés","§ 96 arbvg ellenőrzési intézkedések","ai használati naplók munkavállalói megfigyelés","üzemi megállapodás ai eszközökre","gdpr 88. cikk munkavállalói adatok",[379,382,385,388],{"name":380,"url":381},"General Data Protection Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2016\u002F679\u002Foj\u002Feng",{"name":383,"url":384},"EU Artificial Intelligence Act (Regulation (EU) 2024\u002F1689)","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj\u002Feng",{"name":386,"url":387},"Arbeitsverfassungsgesetz (Austrian Labour Constitution Act)","https:\u002F\u002Fwww.ris.bka.gv.at\u002FGeltendeFassung.wxe?Abfrage=Bundesnormen&Gesetzesnummer=10008329",{"name":389,"url":390},"Betriebsverfassungsgesetz (German Works Constitution Act), § 87","https:\u002F\u002Fwww.gesetze-im-internet.de\u002Fbetrvg\u002F__87.html",[392,394,396,399,402,404,407,409,412,415,418,421,424,427,430],{"title":393,"url":387},"Arbeitsverfassungsgesetz (ArbVG), §§ 96 and 96a, consolidated text of 10 October 2026, RIS",{"title":395,"url":390},"Betriebsverfassungsgesetz (BetrVG), § 87, gesetze-im-internet.de",{"title":397,"url":398},"Betriebsverfassungsgesetz (BetrVG), § 90, gesetze-im-internet.de","https:\u002F\u002Fwww.gesetze-im-internet.de\u002Fbetrvg\u002F__90.html",{"title":400,"url":401},"Bundesdatenschutzgesetz (BDSG), § 26, gesetze-im-internet.de","https:\u002F\u002Fwww.gesetze-im-internet.de\u002Fbdsg_2018\u002F__26.html",{"title":403,"url":381},"Regulation (EU) 2016\u002F679 (GDPR), EUR-Lex",{"title":405,"url":406},"GDPR Article 5(1)(e), storage limitation, gdpr-info.eu","https:\u002F\u002Fgdpr-info.eu\u002Fart-5-gdpr\u002F",{"title":408,"url":384},"Regulation (EU) 2024\u002F1689 (AI Act), EUR-Lex",{"title":410,"url":411},"Regulation (EU) 2026\u002F1744, EUR-Lex","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2026\u002F1744\u002Foj",{"title":413,"url":414},"AI Act Article 26, AI Act Explorer","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F26\u002F",{"title":416,"url":417},"AI Act Annex III, AI Act Explorer","https:\u002F\u002Fartificialintelligenceact.eu\u002Fannex\u002F3\u002F",{"title":419,"url":420},"BAG, 1 ABR 16\u002F23 (July 2024), headset system, gesetze.co","https:\u002F\u002Fgesetze.co\u002Furteile\u002F1_ABR_16-23",{"title":422,"url":423},"ArbG Hamburg, 24 BVGa 1\u002F24: law-firm summary by CMS","https:\u002F\u002Fcms.law\u002Fde\u002Fdeu\u002Flegal-updates\u002Fkein-mitbestimmungsrecht-des-betriebsrats-bei-chatgpt-co",{"title":425,"url":426},"ArbG Hamburg, 24 BVGa 1\u002F24: law-firm summary by Gleiss Lutz","https:\u002F\u002Fwww.gleisslutz.com\u002Fde\u002Fknow-how\u002Farbeitsgericht-hamburg-zu-chatgpt-kein-mitbestimmungsrecht-des-betriebsrats",{"title":428,"url":429},"Claude Code documentation: monitoring usage","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fmonitoring-usage",{"title":431,"url":432},"GitHub Docs: Copilot metrics data reference","https:\u002F\u002Fdocs.github.com\u002Fen\u002Fcopilot\u002Freference\u002Fmetrics-data","\u002Fimages\u002Fblog\u002Fworks-council-ai-tools-austria-germany\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fworks-council-ai-tools-austria-germany\u002Fog.jpg",[74,75,76],"AI-kódolóeszközök és üzemi tanács: mikor számít megfigyelésnek a napló","Használati naplók miatt egy AI-kódolóeszköz is megfigyelőrendszer lehet. Mit írnak elő az osztrák és német szabályok, és mire érdemes előre megállapodni?","MI-kódolóeszközök és üzemi tanács: tárgyalóasztal laptoppal, fölötte egy letakart falikamera.",{"slug":440,"published":359,"minutes":82,"category":8,"tags":441,"tagPages":446,"keywords":447,"about":458,"sources":468,"cover":517,"og":518,"expertise":72,"locales":519,"lang":76,"title":520,"description":521,"coverAlt":522},"eu-ai-act-gpai-high-risk-2026",[442,443,444,445],"EU AI Act","GPAI","High-risk AI","AI compliance",[],[448,449,450,451,452,453,454,455,456,457],"eu ai act magas kockázatú határidő","ai act digital omnibus módosítás","ai act gpai kötelezettségek","ai act szolgáltató vs alkalmazó","eu ai act 2027. december 2.","gpai gyakorlati kódex","ai műveltség 4. cikk","ai act megfelelési ellenőrzőlista","ai act openai api szolgáltató alkalmazó","ai act közepes vállalat",[459,462,465],{"name":460,"url":461},"Artificial Intelligence Act","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FArtificial_Intelligence_Act",{"name":463,"url":464},"General-purpose artificial intelligence","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FFoundation_model",{"name":466,"url":467},"European Commission","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FEuropean_Commission",[469,471,473,476,479,482,485,488,491,494,496,499,502,505,508,511,514],{"title":408,"url":470},"https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj",{"title":472,"url":411},"Regulation (EU) 2026\u002F1744 (Digital Omnibus on AI), EUR-Lex",{"title":474,"url":475},"AI Act Explorer: Digital Omnibus on AI, full amending text","https:\u002F\u002Fartificialintelligenceact.eu\u002Fai-act-explorer\u002Fdigital-omnibus\u002F",{"title":477,"url":478},"European Commission: AI Act regulatory framework and timeline","https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Fpolicies\u002Fregulatory-framework-ai",{"title":480,"url":481},"European Commission: Guidelines for providers of general-purpose AI models","https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Fpolicies\u002Fguidelines-gpai-providers",{"title":483,"url":484},"European Commission: Q&A on the guidelines for GPAI providers","https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Ffaqs\u002Fguidelines-obligations-general-purpose-ai-providers",{"title":486,"url":487},"European Commission: The General-Purpose AI Code of Practice","https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Fpolicies\u002Fcontents-code-gpai",{"title":489,"url":490},"European Commission: AI literacy Questions and Answers","https:\u002F\u002Fdigital-strategy.ec.europa.eu\u002Fen\u002Ffaqs\u002Fai-literacy-questions-answers",{"title":492,"url":493},"AI Act Article 25: Responsibilities along the AI value chain","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F25\u002F",{"title":495,"url":414},"AI Act Article 26: Obligations of deployers of high-risk AI systems",{"title":497,"url":498},"AI Act Article 27: Fundamental rights impact assessment","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F27\u002F",{"title":500,"url":501},"AI Act Article 53: Obligations for providers of general-purpose AI models","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F53\u002F",{"title":503,"url":504},"AI Act Article 99: Penalties","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F99\u002F",{"title":506,"url":507},"AI Act Article 101: Fines for providers of general-purpose AI models","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F101\u002F",{"title":509,"url":510},"Gibson Dunn: EU AI Act Omnibus Agreement, postponed high-risk deadlines (27 May 2026)","https:\u002F\u002Fwww.gibsondunn.com\u002Feu-ai-act-omnibus-agreement-postponed-high-risk-deadlines-and-other-key-changes\u002F",{"title":512,"url":513},"Orrick: EU AI Act Update, Digital Omnibus finalizes 8 compliance changes (29 July 2026)","https:\u002F\u002Fwww.orrick.com\u002Fen\u002FInsights\u002F2026\u002F07\u002FEU-AI-Act-Update-Digital-Omnibus-Finalizes-8-Compliance-Changes",{"title":515,"url":516},"K&L Gates: EU Digital Omnibus on AI enters into force (31 July 2026)","https:\u002F\u002Fwww.klgates.com\u002FEU-Digital-Omnibus-on-AI-Enters-Into-Force-7-31-2026","\u002Fimages\u002Fblog\u002Feu-ai-act-gpai-high-risk-2026\u002Fcover.webp","\u002Fimages\u002Fblog\u002Feu-ai-act-gpai-high-risk-2026\u002Fog.jpg",[74,75,76],"EU AI Act az 50. cikken túl: GPAI, magas kockázatú határidők, teendők","Az AI Act a Digital Omnibus után: GPAI-kötelezettségek, magas kockázatú határidők (2027. dec. 2., 2028. aug. 2.), szolgáltató vagy alkalmazó, MI-jártasság.","EU AI Act, GPAI és határidők: robot háromcímkés idővonal-kötélen halad egy figyelmeztető tábla fölött.",{"slug":524,"published":525,"minutes":82,"category":8,"tags":526,"tagPages":530,"keywords":531,"about":540,"sources":551,"cover":591,"og":592,"expertise":72,"locales":593,"lang":76,"title":594,"description":595,"coverAlt":596},"dpia-llm-feature-worked-example","2026-10-01",[527,365,10,528,529],"DPIA","Data protection","AI Act",[368,16],[532,533,534,535,536,537,538,539],"dpia llm funkciókhoz","adatvédelmi hatásvizsgálat ai asszisztens","gdpr 35. cikk ai","dsfa-v ausztria ai","llm ügyfélszolgálat gdpr","prompt injection adatszivárgás gdpr","ai act 50. cikk chatbot","dpia sablon llm",[541,543,546,549],{"name":380,"url":542},"https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002F?uri=CELEX:32016R0679",{"name":544,"url":545},"WP29 guidelines on data protection impact assessment (WP248 rev.01)","https:\u002F\u002Fec.europa.eu\u002Fnewsroom\u002Farticle29\u002Fitems\u002F611236\u002Fen",{"name":547,"url":548},"OWASP LLM01:2025 Prompt Injection","https:\u002F\u002Fgenai.owasp.org\u002Fllmrisk\u002Fllm01-prompt-injection\u002F",{"name":550,"url":470},"Regulation (EU) 2024\u002F1689 (AI Act)",[552,553,555,558,561,564,567,570,573,576,578,580,583,586,589,590],{"title":403,"url":542},{"title":554,"url":545},"WP29 guidelines on DPIA, WP248 rev.01 (European Commission item page)",{"title":556,"url":557},"WP248 rev.01 PDF, adopted 4 April 2017 and revised 4 October 2017","https:\u002F\u002Fec.europa.eu\u002Fnewsroom\u002Fjust\u002Fdocument.cfm?doc_id=47711",{"title":559,"url":560},"EDPB Guidelines 07\u002F2020 on the concepts of controller and processor","https:\u002F\u002Fwww.edpb.europa.eu\u002Fsystem\u002Ffiles\u002F2023-10\u002Fedpb_guidelines_202007_controllerprocessor_final_en.pdf",{"title":562,"url":563},"EDPB Opinion 28\u002F2024 on AI models, adopted 17 December 2024","https:\u002F\u002Fwww.edpb.europa.eu\u002Fsystem\u002Ffiles\u002F2024-12\u002Fedpb_opinion_202428_ai-models_en.pdf",{"title":565,"url":566},"EDPB news release on Opinion 28\u002F2024","https:\u002F\u002Fwww.edpb.europa.eu\u002Fnews\u002Fedpb-opinion-on-ai-models-gdpr-principles-support-responsible-ai_en",{"title":568,"url":569},"EDPB, Report of the work undertaken by the ChatGPT Taskforce, 23 May 2024","https:\u002F\u002Fwww.edpb.europa.eu\u002Fsystem\u002Ffiles\u002F2024-05\u002Fedpb_20240523_report_chatgpt_taskforce_en.pdf",{"title":571,"url":572},"DSFA-V, BGBl. II Nr. 278\u002F2018 (RIS)","https:\u002F\u002Fwww.ris.bka.gv.at\u002Feli\u002Fbgbl\u002FII\u002F2018\u002F278",{"title":574,"url":575},"DSFA-AV, BGBl. II Nr. 108\u002F2018 (RIS)","https:\u002F\u002Fwww.ris.bka.gv.at\u002Feli\u002Fbgbl\u002FII\u002F2018\u002F108",{"title":577,"url":548},"OWASP Top 10 for LLM Applications 2025: LLM01 Prompt Injection",{"title":579,"url":347},"OWASP Top 10 for LLM Applications 2025: LLM02 Sensitive Information Disclosure",{"title":581,"url":582},"OpenAI, Data controls in the OpenAI platform","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fguides\u002Fyour-data",{"title":584,"url":585},"Commission Implementing Decision (EU) 2023\u002F1795 on the EU–US Data Privacy Framework","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdec_impl\u002F2023\u002F1795\u002Foj\u002Feng",{"title":587,"url":588},"CJEU, Case C-184\u002F20, OT v Vyriausioji tarnybinės etikos komisija","https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002F?uri=CELEX:62020CJ0184",{"title":408,"url":470},{"title":472,"url":411},"\u002Fimages\u002Fblog\u002Fdpia-llm-feature-worked-example\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fdpia-llm-feature-worked-example\u002Fog.jpg",[74,75,76],"DPIA egy LLM-es ügyfélszolgálati asszisztensre: példa a GDPR 35. cikke szerint","Kidolgozott DPIA a GDPR 35. cikke szerint: AI-asszisztens rendelési adatokból fogalmazott vevői válaszokhoz. Mikor kell, mik a kockázatok, kik a felelősök?","DPIA LLM-es asszisztensre: csíptetős űrlap egy szövegbuborékos robot, egy nagyító és egy pecsét mellett.",{"slug":598,"published":599,"minutes":600,"category":8,"tags":601,"tagPages":604,"keywords":606,"about":614,"sources":624,"cover":652,"og":653,"expertise":72,"locales":654,"lang":76,"title":655,"description":656,"coverAlt":657},"guardrails-ai","2026-09-29",10,[11,14,602,603],"LLM reliability","Python",[17,605],"python",[607,608,609,610,611,612,613],"guardrails ai","guardrails ai validátorok","llm kimenet validálás python","guardrails vagy nemo guardrails","guardrails on_fail műveletek","llm guardrails keretrendszer","pii validálás llm kimenetben",[615,618,621],{"name":616,"url":617},"NVIDIA","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FNVIDIA",{"name":619,"url":620},"Apache License","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FApache_License",{"name":622,"url":623},"Large language model","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FLarge_language_model",[625,628,631,634,637,640,643,646,649],{"title":626,"url":627},"Guardrails AI on GitHub: README, news and FAQ","https:\u002F\u002Fgithub.com\u002Fguardrails-ai\u002Fguardrails",{"title":629,"url":630},"guardrails-ai 0.11.0 on PyPI","https:\u002F\u002Fpypi.org\u002Fproject\u002Fguardrails-ai\u002F",{"title":632,"url":633},"Guardrails Hub: 65 validators","https:\u002F\u002Fwww.guardrailsai.com\u002Fhub",{"title":635,"url":636},"Guardrails documentation: error remediation and on-fail actions","https:\u002F\u002Fwww.guardrailsai.com\u002Fdocs\u002Fconcepts\u002Ferror_remediation",{"title":638,"url":639},"Guardrails documentation: use on-fail actions","https:\u002F\u002Fwww.guardrailsai.com\u002Fguardrails\u002Fdocs\u002Fhow-to-guides\u002Fuse_on_fail_actions",{"title":641,"url":642},"Migration issue 1560: moving off hosted remote inferencing","https:\u002F\u002Fgithub.com\u002Fguardrails-ai\u002Fguardrails\u002Fissues\u002F1560",{"title":644,"url":645},"NVIDIA NeMo Guardrails on GitHub","https:\u002F\u002Fgithub.com\u002FNVIDIA-NeMo\u002FGuardrails",{"title":647,"url":648},"NVIDIA NeMo Guardrails documentation","https:\u002F\u002Fdocs.nvidia.com\u002Fnemo\u002Fguardrails\u002Flatest\u002Findex.html",{"title":650,"url":651},"OpenAI API pricing, including moderation","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fpricing","\u002Fimages\u002Fblog\u002Fguardrails-ai\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fguardrails-ai\u002Fog.jpg",[74,75,76],"Guardrails AI: ellenőrizni, amit a modell visszaad","A Guardrails AI értékelése: 65 validátor, nyolc on-fail művelet, a bérelt inferencing megszűnése 2026 augusztusában, és mikor jobb a NeMo Guardrails.","Guardrails AI: egy kis autó halad egy szalagkorláttal védett kanyargós hegyi úton.",{"slug":659,"published":660,"minutes":82,"category":8,"tags":661,"tagPages":667,"keywords":668,"about":679,"sources":686,"cover":701,"og":702,"expertise":72,"locales":703,"lang":76,"title":704,"description":705,"coverAlt":706},"eu-ai-act-article-50-developer-checklist","2026-09-22",[442,662,663,664,665,666],"Article 50","AI transparency","Digital Omnibus","AI literacy","Compliance",[],[669,670,671,672,673,674,675,676,677,678],"eu ai act","eu ai act fejlesztőknek","ai act 50. cikk","ai átláthatósági kötelezettségek","ai act chatbot tájékoztatás","digital omnibus ai act","ai act 50. cikk (2) vízjelezés","ai act deepfake jelölés","mesterséges intelligencia-műveltség 4. cikk","vonatkozik az ai act az alkalmazásomra",[680,681,683],{"name":460,"url":461},{"name":682,"url":411},"Regulation (EU) 2026\u002F1744",{"name":684,"url":685},"AI Act Explorer","https:\u002F\u002Fartificialintelligenceact.eu\u002Fai-act-explorer\u002F",[687,690,693,696,698],{"title":688,"url":689},"Article 50: Transparency Obligations for Providers and Deployers of Certain AI Systems","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F50\u002F",{"title":691,"url":692},"Regulation (EU) 2026\u002F1744 (Digital Omnibus on AI), Official Journal, 24 Jul 2026","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2026\u002F1744\u002Foj\u002Feng",{"title":694,"url":695},"Faegre Drinker: Commission confirms Transparency Code of Practice as adequate and publishes final Article 50 Guidelines (30 Jul 2026)","https:\u002F\u002Fwww.faegredrinker.com\u002Fen\u002Finsights\u002Fpublications\u002F2026\u002F7\u002Feu-ai-act-commission-confirms-transparency-code-of-practice-as-adequate-and-publishes-final-version-of-its-guidelines-on-transparency-obligations",{"title":697,"url":510},"Gibson Dunn: EU AI Act Omnibus Agreement, postponed high-risk deadlines and other key changes (27 May 2026)",{"title":699,"url":700},"RTR KI-Servicestelle: AI Act (Austria)","https:\u002F\u002Fwww.rtr.at\u002Frtr\u002Fservice\u002Fki-servicestelle\u002Fai-act\u002F","\u002Fimages\u002Fblog\u002Feu-ai-act-article-50-developer-checklist\u002Fcover.webp","\u002Fimages\u002Fblog\u002Feu-ai-act-article-50-developer-checklist\u002Fog.jpg",[74,75,76],"EU AI Act, Article 50: a fejlesztők teendői 2026. augusztus 2-tól","EU AI Act 50. cikk: átláthatósági kötelezettségek fejlesztőknek, MI-interakció közlése, gépileg olvasható jelölés, deepfake-ek, szolgáltató vs. üzemeltető.","EU AI Act, 50. cikk: jól látható névtáblás robot egy bekarikázott dátumú naptár és ellenőrzőlista mellett.",{"slug":708,"published":709,"minutes":710,"category":8,"tags":711,"tagPages":716,"keywords":717,"about":728,"sources":732,"cover":762,"og":763,"expertise":72,"locales":764,"lang":76,"title":765,"description":766,"coverAlt":767},"prompt-injection-lethal-trifecta-patterns","2026-09-01",9,[105,712,713,714,715],"AI agent security","Lethal trifecta","Design patterns","Red teaming",[],[718,719,720,721,722,723,724,725,726,727],"prompt injection védelem","lethal trifecta","ai ügynök biztonság","közvetett prompt injection","dual llm minta","prompt injection tervezési minták","hogyan előzzük meg a prompt injectiont ai ügynököknél","ügynökök rule of two","prompt injection egress allowlist","owasp agentic top 10 goal hijack",[729,730,731],{"name":105,"url":106},{"name":622,"url":623},{"name":13,"url":38},[733,736,739,742,745,748,751,754,757,759],{"title":734,"url":735},"Simon Willison: The lethal trifecta for AI agents","https:\u002F\u002Fsimonwillison.net\u002F2025\u002FJun\u002F16\u002Fthe-lethal-trifecta\u002F",{"title":737,"url":738},"Design Patterns for Securing LLM Agents against Prompt Injections","https:\u002F\u002Farxiv.org\u002Fabs\u002F2506.08837",{"title":740,"url":741},"Simon Willison: Design patterns for securing LLM agents (summary)","https:\u002F\u002Fsimonwillison.net\u002F2025\u002FJun\u002F13\u002Fprompt-injection-design-patterns\u002F",{"title":743,"url":744},"Simon Willison: The Dual LLM pattern","https:\u002F\u002Fsimonwillison.net\u002F2023\u002FApr\u002F25\u002Fdual-llm-pattern\u002F",{"title":746,"url":747},"Defeating Prompt Injections by Design (CaMeL)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2503.18813",{"title":749,"url":750},"The Attacker Moves Second","https:\u002F\u002Farxiv.org\u002Fabs\u002F2510.09023",{"title":752,"url":753},"Meta: Agents Rule of Two","https:\u002F\u002Fai.meta.com\u002Fblog\u002Fpractical-ai-agent-security\u002F",{"title":755,"url":756},"Anthropic: How we contain Claude","https:\u002F\u002Fwww.anthropic.com\u002Fengineering\u002Fhow-we-contain-claude",{"title":758,"url":290},"Claude Code documentation: Sandboxing",{"title":760,"url":761},"promptfoo: OWASP Top 10 for Agentic Applications","https:\u002F\u002Fwww.promptfoo.dev\u002Fdocs\u002Fred-team\u002Fowasp-agentic-ai\u002F","\u002Fimages\u002Fblog\u002Fprompt-injection-lethal-trifecta-patterns\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fprompt-injection-lethal-trifecta-patterns\u002Fog.jpg",[74,75,76],"Prompt injection elleni védelem: a lethal trifecta és hat tervezési minta","Miért nem lehet kiszűrni a prompt injectiont: a lethal trifecta, hat behatároló tervezési minta, egress szabályok és egy red team checklist KI-ügynökökhöz.","Prompt injection elleni védelem: fűrész levágja egy háromlábú szék egyik lábát, rajta kulcs, boríték és ajtó.",{"slug":769,"published":770,"updated":771,"minutes":255,"category":8,"tags":772,"tagPages":778,"keywords":779,"about":792,"sources":800,"cover":816,"og":817,"expertise":72,"locales":818,"lang":76,"title":819,"description":820,"coverAlt":821},"gdpr-llm-api-eu-data-residency","2026-08-28","2026-09-02",[365,773,774,775,776,777],"Data residency","LLM API","Zero data retention","PII minimisation","EU hosting",[368],[780,781,782,783,784,785,786,787,788,789,790,791],"gdpr-megfelelő llm api","llm adatrezidencia felhőszolgáltatók","gdpr llm","eu adatrezidencia ai","llm api gdpr","claude adatrezidencia","openai eu adatrezidencia","zero data retention llm","gdpr álnevesítés","llm prompt személyes adatok","bedrock eu régió claude","saját szerveres llm eu megfelelőség",[793,795,797],{"name":380,"url":794},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FGeneral_Data_Protection_Regulation",{"name":773,"url":796},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FData_residency",{"name":798,"url":799},"Pseudonymization","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPseudonymization",[801,804,807,810,813],{"title":802,"url":803},"Claude API docs: Data residency (inference_geo, workspace geo, pricing)","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fmanage-claude\u002Fdata-residency",{"title":805,"url":806},"Claude API docs: API and data retention (zero data retention scope and eligibility)","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fmanage-claude\u002Fapi-and-data-retention",{"title":808,"url":809},"Claude API docs: Models overview (platform model IDs, endpoint types)","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fabout-claude\u002Fmodels\u002Foverview",{"title":811,"url":812},"OpenAI: Introducing data residency in Europe","https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-data-residency-in-europe\u002F",{"title":814,"url":815},"Regulation (EU) 2016\u002F679 (General Data Protection Regulation), EUR-Lex","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2016\u002F679\u002Foj","\u002Fimages\u002Fblog\u002Fgdpr-llm-api-eu-data-residency\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fgdpr-llm-api-eu-data-residency\u002Fog.jpg",[74,75,76],"GDPR LLM adatrezidencia: régióvezérlés, nulla megőrzés, EU-opciók","Lehet GDPR-megfelelő egy LLM API? EU-s adatrezidencia az OpenAI-nál, Claude Bedrockon és Google Cloudon, zero data retention, álnevesítés, saját hosztolás.","GDPR és LLM-adatrezidencia: mappák maradnak egy bekerített kertben egy csillagkoszorú alatt, robot a kerítésre hajol.",{"slug":823,"published":824,"updated":525,"minutes":600,"category":8,"tags":825,"tagPages":830,"keywords":831,"about":839,"sources":846,"cover":871,"og":872,"expertise":72,"locales":873,"lang":76,"title":874,"description":875,"coverAlt":876},"semgrep","2026-08-14",[826,827,261,828,829],"SAST","Static analysis","Rule authoring","AppSec",[],[823,832,833,834,835,836,837,838],"semgrep teszt","semgrep vagy codeql","semgrep szabályok","semgrep árak","semgrep pro engine","ingyenes sast eszközök","semgrep ci github actions",[840,843],{"name":841,"url":842},"Semgrep","https:\u002F\u002Fsemgrep.dev",{"name":844,"url":845},"Static application security testing","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FStatic_application_security_testing",[847,850,853,856,859,862,865,868],{"title":848,"url":849},"Semgrep pricing: Free, Teams and Enterprise","https:\u002F\u002Fsemgrep.dev\u002Fpricing\u002F",{"title":851,"url":852},"Semgrep Community Edition","https:\u002F\u002Fsemgrep.dev\u002Fproducts\u002Fcommunity-edition",{"title":854,"url":855},"Semgrep documentation: cross-file analysis","https:\u002F\u002Fdocs.semgrep.dev\u002Fsemgrep-code\u002Fsemgrep-pro-engine-intro\u002F",{"title":857,"url":858},"Semgrep documentation: usage and billing","https:\u002F\u002Fdocs.semgrep.dev\u002Fusage-and-billing\u002Foverview\u002F",{"title":860,"url":861},"Semgrep releases: v1.179.0","https:\u002F\u002Fgithub.com\u002Fsemgrep\u002Fsemgrep\u002Freleases",{"title":863,"url":864},"Semgrep Rules License v1.0","https:\u002F\u002Fsemgrep.dev\u002Flegal\u002Frules-license\u002F",{"title":866,"url":867},"Important updates to Semgrep OSS, 13 December 2024","https:\u002F\u002Fsemgrep.dev\u002Fblog\u002F2024\u002Fimportant-updates-to-semgrep-oss\u002F",{"title":869,"url":870},"OpenGrep repository","https:\u002F\u002Fgithub.com\u002Fopengrep\u002Fopengrep","\u002Fimages\u002Fblog\u002Fsemgrep\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fsemgrep\u002Fog.jpg",[74,75,76],"Semgrep: statikus elemzés, amely belefér egy pull requestbe","A Semgrep 30 nyelvet elemez, és másodpercek alatt illeszt YAML-mintákat; a motor LGPL-2.1 alatt ingyen van. A cross-file elemzés és az AI-triage fizetős.","Semgrep: sűrű fésű fog meg egy kis bogarat a papírcsíkok között.",{"slug":878,"published":879,"updated":709,"minutes":600,"category":8,"tags":880,"tagPages":886,"keywords":887,"about":898,"sources":908,"cover":929,"og":930,"expertise":72,"locales":931,"lang":76,"title":932,"description":933,"coverAlt":934},"mcp-server-security-checklist","2026-08-11",[881,882,883,884,885],"MCP security","Tool poisoning","MCP OAuth","Supply chain","Audit logs",[],[888,889,890,891,892,893,894,895,896,897],"mcp biztonság","mcp szerver biztonsági ellenőrzőlista","mcp tool poisoning","mcp rug pull","mcp oauth","mcp sebezhetőségek","hogyan védjünk meg egy mcp szervert","mcp authorization rfc 9207","nsa mcp ajánlás","mcp audit naplózás",[899,900,903,906],{"name":279,"url":280},{"name":901,"url":902},"OAuth 2.0","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FOAuth",{"name":904,"url":905},"OpenTelemetry","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FOpenTelemetry",{"name":13,"url":907},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FOWASP",[909,912,915,918,921,924,927],{"title":910,"url":911},"Invariant Labs: MCP Security Notification – Tool Poisoning Attacks (1 April 2025)","https:\u002F\u002Finvariantlabs.ai\u002Fblog\u002Fmcp-security-notification-tool-poisoning-attacks",{"title":913,"url":914},"OWASP: Top 10 for Agentic Applications for 2026 (9 December 2025)","https:\u002F\u002Fgenai.owasp.org\u002Fresource\u002Fowasp-top-10-for-agentic-applications-for-2026\u002F",{"title":916,"url":917},"MCP specification 2026-07-28: changelog (SEP-2468, SEP-2352, SEP-414)","https:\u002F\u002Fgithub.com\u002Fmodelcontextprotocol\u002Fmodelcontextprotocol\u002Fblob\u002Fmain\u002Fdocs\u002Fspecification\u002F2026-07-28\u002Fchangelog.mdx",{"title":919,"url":920},"RFC 9207: OAuth 2.0 Authorization Server Issuer Identification","https:\u002F\u002Fwww.rfc-editor.org\u002Frfc\u002Frfc9207",{"title":922,"url":923},"NSA: Model Context Protocol (MCP) – Security Design Considerations for AI-Driven Automation (May 2026)","https:\u002F\u002Fmedia.defense.gov\u002F2026\u002FJun\u002F02\u002F2003943289\u002F-1\u002F-1\u002F0\u002FCSI_MCP_SECURITY.PDF",{"title":925,"url":926},"Reed Smith: NSA publishes security guidance on designing AI systems with MCP (4 June 2026)","https:\u002F\u002Fwww.reedsmith.com\u002Four-insights\u002Fblogs\u002Fviewpoints\u002F102mvg9\u002Fnsa-publishes-security-guidance-on-designing-ai-systems-with-model-context-protoc\u002F",{"title":928,"url":756},"Anthropic: How we contain Claude across products (25 May 2026)","\u002Fimages\u002Fblog\u002Fmcp-server-security-checklist\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fmcp-server-security-checklist\u002Fog.jpg",[74,75,76],"MCP biztonsági ellenőrzőlista: tool poisoning, rug pull és OAuth","MCP biztonsági ellenőrzőlista: fenyegetési modell, tool poisoning, rug pull, RFC 9207 kiállítóellenőrzés, korlátozott tokenek és audit naplók.","MCP biztonsági ellenőrzőlista: lakattal biztosított csatlakozó és aljzat, egy kukac kúszik a kábel felé.",{"slug":936,"published":937,"updated":709,"minutes":255,"category":8,"tags":938,"tagPages":943,"keywords":944,"about":955,"sources":968,"cover":978,"og":979,"expertise":72,"locales":980,"lang":76,"title":981,"description":982,"coverAlt":983},"sandboxing-coding-agents-ci-checklist","2026-08-05",[939,261,940,941,942],"AI agent sandbox","Egress control","Credentials","Container isolation",[],[945,946,947,948,949,950,951,952,953,954],"ai ügynök sandbox","kódoló ügynök biztonság","mi-ügynök sandbox","ci biztonsági ellenőrzőlista","egress allowlist","sandbox kódoló ügynökhöz","cloud metadata végpont tiltása","gvisor","seatbelt bubblewrap sandbox","rövid életű ügynök hitelesítő adatok",[956,959,962,965],{"name":957,"url":958},"Sandbox (software development)","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FSandbox_(software_development)",{"name":960,"url":961},"gVisor","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FgVisor",{"name":963,"url":964},"Hugging Face","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FHugging_Face",{"name":966,"url":967},"Virtual machine","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FVirtual_machine",[969,972,975,976],{"title":970,"url":971},"Hugging Face: technical timeline of the July 2026 intrusion","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fagent-intrusion-technical-timeline",{"title":973,"url":974},"METR and Redwood Research: independent investigation (26 August 2026)","https:\u002F\u002Fmetr.org\u002Fblog\u002F2026-08-26-openai-hugging-face-incident-investigation\u002F",{"title":928,"url":756},{"title":977,"url":290},"Claude Code documentation: the sandboxed Bash tool","\u002Fimages\u002Fblog\u002Fsandboxing-coding-agents-ci-checklist\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fsandboxing-coding-agents-ci-checklist\u002Fog.jpg",[74,75,76],"MI-ügynök sandbox ellenőrzőlista: egy CI betörés tanulságai","MI-ügynök sandbox-ellenőrzőlista: izolációs szintek, kimenő forgalmi allowlist, rövid életű hitelesítők, letiltott metadata-végpont, projektkonfiguráció.","Kódoló ügynökök sandboxolása: robot a homokozóban játszik, kívül feltört lakat és ellenőrzőlista.",{"slug":985,"published":986,"minutes":710,"category":8,"tags":987,"tagPages":988,"keywords":989,"about":998,"sources":1003,"cover":1028,"og":1029,"expertise":72,"locales":1030,"lang":76,"title":1031,"description":1032,"coverAlt":1033},"lakera-guard","2026-08-04",[105,11,10,12],[17,16],[990,991,992,993,994,995,996,997],"lakera guard","lakera guard teszt","prompt injection szűrő","prompt injection felismerés","llm guardrails összehasonlítás","pint benchmark","check point ai guardrails","lakera árak",[999,1000],{"name":105,"url":106},{"name":1001,"url":1002},"Check Point","https:\u002F\u002Fwww.checkpoint.com\u002F",[1004,1007,1010,1013,1016,1019,1022,1025],{"title":1005,"url":1006},"Lakera documentation: Guard API","https:\u002F\u002Fdocs.lakera.ai\u002Fdocs\u002Fapi\u002Fguard",{"title":1008,"url":1009},"Guard API endpoint reference","https:\u002F\u002Fdocs.lakera.ai\u002Fapi-reference\u002Flakera-api\u002Fguard\u002Fscreen-content",{"title":1011,"url":1012},"Lakera documentation: projects","https:\u002F\u002Fdocs.lakera.ai\u002Fdocs\u002Fprojects",{"title":1014,"url":1015},"Lakera documentation: self-hosting","https:\u002F\u002Fdocs.lakera.ai\u002Fdocs\u002Fselfhosting",{"title":1017,"url":1018},"Lakera platform pricing","https:\u002F\u002Fplatform.lakera.ai\u002Fpricing",{"title":1020,"url":1021},"PINT benchmark on GitHub","https:\u002F\u002Fgithub.com\u002Flakeraai\u002Fpint-benchmark",{"title":1023,"url":1024},"Lakera homepage","https:\u002F\u002Fwww.lakera.ai\u002F",{"title":1026,"url":1027},"Check Point press release on the Lakera acquisition","https:\u002F\u002Fwww.checkpoint.com\u002Fpress-releases\u002Fcheck-point-acquires-lakera-to-deliver-end-to-end-ai-security-for-enterprises\u002F","\u002Fimages\u002Fblog\u002Flakera-guard\u002Fcover.webp","\u002Fimages\u002Fblog\u002Flakera-guard\u002Fog.jpg",[74,75,76],"Lakera Guard: promptinjectiós szűrés a kérés határán","A Lakera Guard értékelése: egyetlen végpont a modell előtt, a pontszámok mögötti PINT-benchmark, és miért áll meg az ingyenes csomag havi 10 000 kérésnél.","Lakera Guard: egy őr az ajtóban szitát tart, amely fennakaszt egy horgos borítékot.",{"slug":1035,"published":1036,"updated":937,"minutes":600,"category":8,"tags":1037,"tagPages":1041,"keywords":1042,"about":1049,"sources":1055,"cover":1080,"og":1081,"expertise":72,"locales":1082,"lang":76,"title":1083,"description":1084,"coverAlt":1085},"detect-secrets","2026-08-03",[1038,1039,282,1040],"Secret scanning","Pre-commit","DevSecOps",[],[1035,1043,1044,1045,1046,1047,1048],"detect-secrets vagy gitleaks","detect-secrets baseline fájl","titokkereső eszközök összehasonlítása","gitleaks vs trufflehog összehasonlítás","kiszivárgott api kulcsok cseréje","pre-commit titok hook",[1050,1053,1054],{"name":1051,"url":1052},"Yelp","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FYelp",{"name":282,"url":283},{"name":619,"url":620},[1056,1058,1061,1064,1067,1070,1072,1074,1077],{"title":1057,"url":338},"Yelp\u002Fdetect-secrets: README and usage",{"title":1059,"url":1060},"Yelp\u002Fdetect-secrets: CHANGELOG (v1.5.0, 6 May 2024)","https:\u002F\u002Fgithub.com\u002FYelp\u002Fdetect-secrets\u002Fblob\u002Fmaster\u002FCHANGELOG.md",{"title":1062,"url":1063},"Yelp\u002Fdetect-secrets: plugin and verification documentation","https:\u002F\u002Fgithub.com\u002FYelp\u002Fdetect-secrets\u002Fblob\u002Fmaster\u002Fdocs\u002Fplugins.md",{"title":1065,"url":1066},"detect-secrets 1.5.0 on PyPI","https:\u002F\u002Fpypi.org\u002Fproject\u002Fdetect-secrets\u002F",{"title":1068,"url":1069},"Yelp\u002Fdetect-secrets: releases","https:\u002F\u002Fgithub.com\u002FYelp\u002Fdetect-secrets\u002Freleases",{"title":1071,"url":332},"Gitleaks README (MIT, Go)",{"title":1073,"url":335},"TruffleHog README (AGPL-3.0, credential verification)",{"title":1075,"url":1076},"GitHub Docs: About secret scanning","https:\u002F\u002Fdocs.github.com\u002Fen\u002Fcode-security\u002Fsecret-scanning\u002Fintroduction\u002Fabout-secret-scanning",{"title":1078,"url":1079},"betterleaks\u002Fbetterleaks","https:\u002F\u002Fgithub.com\u002Fbetterleaks\u002Fbetterleaks","\u002Fimages\u002Fblog\u002Fdetect-secrets\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fdetect-secrets\u002Fog.jpg",[74,75,76],"detect-secrets: titkos kulcsok vizsgálata becommitolt baseline-nal","A detect-secrets működése: a commitolt baseline eltérése a gitleakstól és a TruffleHogtól, az ellenőrző hívások a CI-ban, és hol ér véget az eszköz.","detect-secrets: szimatoló kutya vizsgál bőröndöket a szalagon, az egyikből kulcs lóg ki.",{"slug":1087,"published":1088,"updated":709,"minutes":82,"category":8,"tags":1089,"tagPages":1093,"keywords":1094,"about":1105,"sources":1113,"cover":1174,"og":1175,"expertise":72,"locales":1176,"lang":76,"title":1177,"description":1178,"coverAlt":1179},"pii-redaction-llm-pipelines","2026-06-26",[1090,365,1091,10,1092],"PII redaction","Microsoft Presidio","Pseudonymisation",[368,16],[1095,1096,1097,1098,1099,1100,1101,1102,1103,1104],"pii kitakarás llm","hogyan távolítsunk el pii-t llm küldés előtt","microsoft presidio útmutató","pii felismerés német és magyar","álnevesítés vs anonimizálás gdpr","visszafordítható tokenizálás llm promptokban","pii kitakarása logokban és trace-ekben","llm adatmaszkolás","pii guardrail litellm","pii felismerés tesztelése recall",[1106,1109,1110],{"name":1107,"url":1108},"Personal data","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPersonal_data",{"name":380,"url":794},{"name":1111,"url":1112},"Data anonymization","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FData_anonymization",[1114,1117,1120,1123,1126,1129,1132,1135,1138,1141,1144,1147,1150,1153,1156,1159,1162,1165,1168,1171],{"title":1115,"url":1116},"Microsoft Presidio: documentation (limitations, methods)","https:\u002F\u002Fpresidio.dataprivacystack.org\u002F",{"title":1118,"url":1119},"Presidio: supported entities and country-specific recognizers","https:\u002F\u002Fpresidio.dataprivacystack.org\u002Fsupported_entities\u002F",{"title":1121,"url":1122},"Presidio: supporting additional languages","https:\u002F\u002Fpresidio.dataprivacystack.org\u002Fanalyzer\u002Flanguages\u002F",{"title":1124,"url":1125},"Presidio: anonymizer operators","https:\u002F\u002Fpresidio.dataprivacystack.org\u002Fanonymizer\u002F",{"title":1127,"url":1128},"Google Cloud: infoTypes reference","https:\u002F\u002Fdocs.cloud.google.com\u002Fsensitive-data-protection\u002Fdocs\u002Finfotypes-reference",{"title":1130,"url":1131},"Google Cloud: pseudonymization in Sensitive Data Protection","https:\u002F\u002Fdocs.cloud.google.com\u002Fsensitive-data-protection\u002Fdocs\u002Fpseudonymization",{"title":1133,"url":1134},"Microsoft Learn: Azure Language PII detection language support","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Flanguage-service\u002Fpersonally-identifiable-information\u002Flanguage-support",{"title":1136,"url":1137},"AWS: Detecting PII entities with Amazon Comprehend","https:\u002F\u002Fdocs.aws.amazon.com\u002Fcomprehend\u002Flatest\u002Fdg\u002Fhow-pii.html",{"title":1139,"url":1140},"spaCy: models and languages","https:\u002F\u002Fspacy.io\u002Fusage\u002Fmodels",{"title":1142,"url":1143},"Hugging Face: novakat\u002Fnerkor-hubert (Hungarian NER)","https:\u002F\u002Fhuggingface.co\u002Fnovakat\u002Fnerkor-hubert",{"title":1145,"url":1146},"arXiv: An Evaluation Study of Hybrid Methods for Multilingual PII Detection","https:\u002F\u002Farxiv.org\u002Fabs\u002F2510.07551",{"title":1148,"url":1149},"LiteLLM: Presidio PII masking guardrail","https:\u002F\u002Fdocs.litellm.ai\u002Fdocs\u002Fproxy\u002Fguardrails\u002Fpii_masking_v2",{"title":1151,"url":1152},"Langfuse: masking","https:\u002F\u002Flangfuse.com\u002Fdocs\u002Fobservability\u002Ffeatures\u002Fmasking",{"title":1154,"url":1155},"GDPR Article 4: definitions (pseudonymisation, 4(5))","https:\u002F\u002Fgdpr-info.eu\u002Fart-4-gdpr\u002F",{"title":1157,"url":1158},"EDPB: Guidelines 01\u002F2025 on Pseudonymisation","https:\u002F\u002Fwww.edpb.europa.eu\u002Four-work-tools\u002Fdocuments\u002Fpublic-consultations\u002F2025\u002Fguidelines-012025-pseudonymisation_en",{"title":1160,"url":1161},"IAPP: EDPB publishes draft guidelines on pseudonymization","https:\u002F\u002Fiapp.org\u002Fnews\u002Fa\u002F-what-s-in-a-name-edpb-publishes-draft-guidelines-on-pseudonymization",{"title":1163,"url":1164},"Taylor Wessing: Analysis of the CJEU judgment in C-413\u002F23 P (EDPS v SRB)","https:\u002F\u002Fwww.taylorwessing.com\u002Fen\u002Finsights-and-events\u002Finsights\u002F2025\u002F09\u002Fanalysis-of-the-cjeu-judgment",{"title":1166,"url":1167},"Jones Day: CJEU clarifies scope of personal data in EDPS v SRB","https:\u002F\u002Fwww.jonesday.com\u002Fen\u002Finsights\u002F2025\u002F09\u002Fcjeu-clarifies-scope-of-personal-data-in-edps-v-srb-decision",{"title":1169,"url":1170},"IAPP: leaked Council Digital Omnibus compromise drops the revised personal data definition","https:\u002F\u002Fiapp.org\u002Fnews\u002Fa\u002Feu-member-states-leaked-digital-omnibus-compromise-proposal-eliminates-revised-gdpr-definition-of-personal-data",{"title":1172,"url":1173},"Law Health Tech: Pseudonymisation under the GDPR and the Digital Omnibus (May 2026)","https:\u002F\u002Flawhealthtech.com\u002F2026\u002F05\u002F04\u002Fpseudonymisation-under-the-gdpr-where-we-are-what-may-change-under-the-digital-omnibus-and-what-regulators-think\u002F","\u002Fimages\u002Fblog\u002Fpii-redaction-llm-pipelines\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fpii-redaction-llm-pipelines\u002Fog.jpg",[74,75,76],"PII-kitakarás LLM-pipeline-okban: hol, hogyan, és mit mond a GDPR","PII-kitakarás LLM-pipeline-okban: visszafordítható tokenek vs. maszkolás, Presidio, felhős DLP, német és magyar hiányok, pszeudonimizálás a GDPR szerint.","PII-kitakarás LLM-pipeline-okban: kéz filccel kitakar sorokat egy lapon, robot várja a lapot.",{"slug":1181,"published":1182,"updated":1183,"minutes":710,"category":8,"tags":1184,"tagPages":1186,"keywords":1187,"about":1194,"sources":1199,"cover":1211,"og":1212,"expertise":72,"locales":1213,"lang":76,"title":1214,"description":1215,"coverAlt":1216},"rebuff","2026-06-22","2026-07-09",[105,10,11,1185],"Canary tokens",[16,17],[1181,1188,1189,1190,1191,1192,1193],"prompt injection észlelés","rebuff python sdk","llm prompt injection guardrail","canary token szivárgás észlelés","rebuff alternatíva","rebuff teszt",[1195,1198],{"name":1196,"url":1197},"Rebuff","https:\u002F\u002Fgithub.com\u002Fprotectai\u002Frebuff",{"name":622,"url":623},[1200,1202,1205,1208],{"title":1201,"url":1197},"Rebuff repository, archived 16 May 2025",{"title":1203,"url":1204},"Rebuff 0.1.1 on PyPI, released 20 January 2024","https:\u002F\u002Fpypi.org\u002Fproject\u002Frebuff\u002F",{"title":1206,"url":1207},"LangChain: Rebuff, detecting prompt injection attacks","https:\u002F\u002Fwww.langchain.com\u002Fblog\u002Frebuff",{"title":1209,"url":1210},"LLM Guard repository, archived 9 July 2026","https:\u002F\u002Fgithub.com\u002Fprotectai\u002Fllm-guard","\u002Fimages\u002Fblog\u002Frebuff\u002Fcover.webp","\u002Fimages\u002Fblog\u002Frebuff\u002Fog.jpg",[74,75,76],"Rebuff: négy rétegű prompt-injekció-észlelés, mára archiválva","A Rebuff heurisztika, LLM, támadásvektorbázis és canary-tokenek alapján pontozta a promptokat. Archiválták 2025 májusában, utolsó kiadása 2024. január.","Rebuff: lezárt archívumdoboz áll négy védelmi réteg, árok, kerítés, fal és kapu előtt.",{"slug":1218,"published":1182,"updated":879,"minutes":600,"category":8,"tags":1219,"tagPages":1222,"keywords":1223,"about":1233,"sources":1243,"cover":1276,"og":1277,"expertise":72,"locales":1278,"lang":76,"title":1279,"description":1280,"coverAlt":1281},"protect-ai",[1220,884,1221,261],"Model scanning","Pickle",[],[1224,1225,1226,1227,1228,1229,1230,1231,1232],"protect ai guardian","modelscan","ai modell szkennelés","prisma airs ai modellbiztonság","pickle malware szkenner","modell szerializációs támadás","modelscan vagy modelaudit","hugging face modell malware szkennelés","protect ai modellszkenner",[1234,1237,1240],{"name":1235,"url":1236},"Protect AI","https:\u002F\u002Fprotectai.com",{"name":1238,"url":1239},"Palo Alto Networks","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPalo_Alto_Networks",{"name":1241,"url":1242},"ModelScan","https:\u002F\u002Fgithub.com\u002Fprotectai\u002Fmodelscan",[1244,1247,1250,1253,1255,1258,1261,1264,1267,1270,1273],{"title":1245,"url":1246},"Palo Alto Networks: completes acquisition of Protect AI","https:\u002F\u002Fwww.paloaltonetworks.com\u002Fcompany\u002Fpress\u002F2025\u002Fpalo-alto-networks-completes-acquisition-of-protect-ai",{"title":1248,"url":1249},"Prisma AIRS AI Model Security product page","https:\u002F\u002Fwww.paloaltonetworks.com\u002Fai-security\u002Fai-model-security",{"title":1251,"url":1252},"Prisma AIRS platform page served at protectai.com","https:\u002F\u002Fprotectai.com\u002F",{"title":1254,"url":1242},"ModelScan repository and README",{"title":1256,"url":1257},"ModelScan on PyPI","https:\u002F\u002Fpypi.org\u002Fproject\u002Fmodelscan\u002F",{"title":1259,"url":1260},"ModelAudit repository and README","https:\u002F\u002Fgithub.com\u002Fpromptfoo\u002Fmodelaudit",{"title":1262,"url":1263},"promptfoo documentation: model scanning","https:\u002F\u002Fwww.promptfoo.dev\u002Fdocs\u002Fmodel-audit\u002F",{"title":1265,"url":1266},"Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.27424",{"title":1268,"url":1269},"JFrog: three zero-day PickleScan vulnerabilities","https:\u002F\u002Fjfrog.com\u002Fblog\u002Funveiling-3-zero-day-vulnerabilities-in-picklescan\u002F",{"title":1271,"url":1272},"PickleScan repository and README","https:\u002F\u002Fgithub.com\u002Fmmaitre314\u002Fpicklescan",{"title":1274,"url":1275},"Hugging Face Hub docs: third-party scanner Protect AI","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fen\u002Fsecurity-protectai","\u002Fimages\u002Fblog\u002Fprotect-ai\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fprotect-ai\u002Fog.jpg",[74,75,76],"Protect AI modellszkenner: Guardian nincs többé, a ModelScan viszont van","Protect AI modellszkennelés a Palo Alto Networks felvásárlása után: mi lett a Guardianből, mit tud a ModelScan, és hogyan állnak a szabad szkennerek?","Protect AI modellszkenner: szkennerkapu átvilágít egy ajándékdobozt, mellette üres őrhely.",{"slug":1283,"published":1284,"updated":525,"minutes":82,"category":8,"tags":1285,"tagPages":1290,"keywords":1291,"about":1302,"sources":1309,"cover":1352,"og":1353,"expertise":72,"locales":1354,"lang":76,"title":1355,"description":1356,"coverAlt":1357},"ai-agent-identity-least-privilege","2026-05-18",[1286,1287,1288,1289],"AI agent identity","Least privilege","OAuth token exchange","Non-human identity",[],[1292,1293,1294,1295,1296,1297,1298,1299,1300,1301],"ai ügynök identitáskezelés","nem emberi identitás ai ügynökök","ai ügynök legkisebb jogosultság","oauth token exchange ai ügynökökhöz","on-behalf-of flow ai ügynök","microsoft entra agent id","okta agent sso cross app access","ai ügynök hitelesítő adatok és titkok","ai ügynökök lekapcsolása","delegált vs autonóm ügynök hozzáférés",[1303,1306,1307],{"name":1304,"url":1305},"Identity management","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FIdentity_management",{"name":276,"url":277},{"name":1308,"url":902},"OAuth",[1310,1313,1316,1319,1322,1325,1328,1331,1334,1337,1340,1343,1346,1349],{"title":1311,"url":1312},"Microsoft Learn: What is Microsoft Entra Agent ID?","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fentra\u002Fagent-id\u002Fwhat-is-microsoft-entra-agent-id",{"title":1314,"url":1315},"Microsoft Learn: What are agent identities?","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fentra\u002Fagent-id\u002Fwhat-are-agent-identities",{"title":1317,"url":1318},"Microsoft Learn: Best practices for Microsoft Entra Agent ID","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fentra\u002Fagent-id\u002Fbest-practices-agent-id",{"title":1320,"url":1321},"Microsoft Learn: Microsoft Entra Agent ID logs","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fentra\u002Fagent-id\u002Fsign-in-audit-logs-agents",{"title":1323,"url":1324},"Microsoft Learn: How agent identity deletion works","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fentra\u002Fagent-id\u002Fconcept-agent-identity-deletion",{"title":1326,"url":1327},"Microsoft Learn: What's new in Microsoft Entra Agent ID","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fentra\u002Fagent-id\u002Fwhats-new-agent-id",{"title":1329,"url":1330},"Microsoft Learn: Microsoft Agent 365 overview","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fmicrosoft-agent-365\u002Foverview",{"title":1332,"url":1333},"Okta: Okta brings first-class identity to AI agents with Agent SSO (24 August 2026)","https:\u002F\u002Fwww.okta.com\u002Fnewsroom\u002Fpress-releases\u002Fokta-brings-first-class-identity-to-ai-agents-with-agent-sso\u002F",{"title":1335,"url":1336},"Okta: Auth0 gives developers the identity layer to securely ship agentic apps (May 2026)","https:\u002F\u002Fwww.okta.com\u002Fnewsroom\u002Farticles\u002Fauth0-may-2026-product-innovations\u002F",{"title":1338,"url":1339},"IETF: RFC 8693, OAuth 2.0 Token Exchange","https:\u002F\u002Fwww.rfc-editor.org\u002Frfc\u002Frfc8693",{"title":1341,"url":1342},"Model Context Protocol blog: Enterprise-Managed Authorization, zero-touch OAuth for MCP (18 June 2026)","https:\u002F\u002Fblog.modelcontextprotocol.io\u002Fposts\u002Fenterprise-managed-auth\u002F",{"title":1344,"url":1345},"Model Context Protocol: Security best practices","https:\u002F\u002Fmodelcontextprotocol.io\u002Fspecification\u002Fdraft\u002Fbasic\u002Fsecurity_best_practices",{"title":1347,"url":1348},"WorkOS: AI agents and the multi-hop delegation problem","https:\u002F\u002Fworkos.com\u002Fblog\u002Foauth-multi-hop-delegation-ai-agents",{"title":1350,"url":1351},"TechCrunch: OpenAI launches Dots, its bubbly agentic avatar","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F09\u002F29\u002Fopenai-launches-dots-its-bubbly-agentic-avatar\u002F","\u002Fimages\u002Fblog\u002Fai-agent-identity-least-privilege\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fai-agent-identity-least-privilege\u002Fog.jpg",[74,75,76],"Az AI-ügynökök identitások: least privilege nem emberi felhasználóknak","AI-ügynökök identitása legkisebb jogosultsággal: saját azonosító, delegált token, titkok, audit, offboarding, és az Entra, Okta, Auth0 kínálata.","MI-ügynökök identitása: egy belépőkártyás robot egyetlen kis kulccsal áll három ajtó előtt.",1793451238972]