[{"data":1,"prerenderedAt":728},["ShallowReactive",2],{"blog-tag-hu-gdpr":3},[4,80,189,260,339,420,498,581,633],{"slug":5,"published":6,"minutes":7,"category":8,"tags":9,"tagPages":15,"keywords":18,"about":29,"sources":39,"cover":70,"og":71,"expertise":72,"locales":73,"lang":76,"title":77,"description":78,"coverAlt":79},"b2b-email-order-entry-llm","2026-10-14",9,"web",[10,11,12,13,14],"Order entry","ERP","Document AI","Idempotency","GDPR",[16,17],"document-ai","gdpr",[19,20,21,22,23,24,25,26,27,28],"e-mailes rendelésrögzítés automatizálása","értékesítési rendelés automatizálás","rendelésrögzítés automatizálása e-mailből","ai rendelésfeldolgozás erp","rendelésfeldolgozó automatizálás","pdf rendelés erp-be","értékesítési rendelés automatizálás megtérülés","rendelésrögzítési hibaarány","érintésmentes rendelésfeldolgozás","rendelés-validációs szabályok erp",[30,33,36],{"name":31,"url":32},"Sales order","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FSales_order",{"name":34,"url":35},"Enterprise resource planning","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FEnterprise_resource_planning",{"name":37,"url":38},"General Data Protection Regulation","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FGeneral_Data_Protection_Regulation",[40,43,46,49,52,55,58,61,64,67],{"title":41,"url":42},"Microsoft Learn: Receive change notifications through webhooks (Microsoft Graph)","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fgraph\u002Fchange-notifications-delivery-webhooks",{"title":44,"url":45},"Microsoft Learn: Azure OpenAI structured outputs","https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-foundry\u002Fopenai\u002Fhow-to\u002Fstructured-outputs",{"title":47,"url":48},"Stripe API reference: Idempotent requests","https:\u002F\u002Fdocs.stripe.com\u002Fapi\u002Fidempotent_requests",{"title":50,"url":51},"Regulation (EU) 2016\u002F679 (GDPR), EUR-Lex","https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002F?uri=CELEX%3A32016R0679",{"title":53,"url":54},"Peppol BIS Upgrade 3: ordering profiles and code lists","https:\u002F\u002Fdocs.peppol.eu\u002Fpoacc\u002Fupgrade-3\u002F",{"title":56,"url":57},"O*NET OnLine: Order Clerks (43-4151.00)","https:\u002F\u002Fwww.onetonline.org\u002Flink\u002Fsummary\u002F43-4151.00",{"title":59,"url":60},"Amazon Textract pricing","https:\u002F\u002Faws.amazon.com\u002Ftextract\u002Fpricing\u002F",{"title":62,"url":63},"Google Cloud: Document AI pricing","https:\u002F\u002Fcloud.google.com\u002Fdocument-ai\u002Fpricing",{"title":65,"url":66},"Mistral AI: OCR 4.1 model card","https:\u002F\u002Fdocs.mistral.ai\u002Fmodels\u002Focr-4-1",{"title":68,"url":69},"Conexiom: sales order automation 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üzemeltetés adatvédelem","llm gpu memória igény","vllm throughput benchmark","eu gpu felhő llm-ekhez","llm api vs saját üzemeltetés megtérülés","nyílt súlyú llm hardverköltség","adatfeldolgozási megállapodás llm",[103,104,107,110],{"name":37,"url":38},{"name":105,"url":106},"Large language model","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FLarge_language_model",{"name":108,"url":109},"Graphics processing unit","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FGraphics_processing_unit",{"name":88,"url":111},"https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm",[113,116,119,122,125,128,131,134,137,140,143,146,149,152,155,158,161,164,167,170,173,176,179],{"title":114,"url":115},"openai\u002Fgpt-oss-120b model card (Hugging Face)","https:\u002F\u002Fhuggingface.co\u002Fopenai\u002Fgpt-oss-120b",{"title":117,"url":118},"mistralai\u002FMistral-Small-3.2-24B-Instruct-2506 model card (Hugging Face)","https:\u002F\u002Fhuggingface.co\u002Fmistralai\u002FMistral-Small-3.2-24B-Instruct-2506",{"title":120,"url":121},"meta-llama\u002FLlama-3.3-70B-Instruct model card (Hugging Face)","https:\u002F\u002Fhuggingface.co\u002Fmeta-llama\u002FLlama-3.3-70B-Instruct",{"title":123,"url":124},"mistralai\u002FMistral-Large-3-675B-Instruct-2512 model card (Hugging Face)","https:\u002F\u002Fhuggingface.co\u002Fmistralai\u002FMistral-Large-3-675B-Instruct-2512",{"title":126,"url":127},"vLLM blog: v0.6.0 performance update (September 2024)","https:\u002F\u002Fblog.vllm.ai\u002F2024\u002F09\u002F05\u002Fperf-update.html",{"title":129,"url":130},"vLLM documentation: engine arguments","https:\u002F\u002Fdocs.vllm.ai\u002Fen\u002Flatest\u002Fconfiguration\u002Fengine_args.html",{"title":132,"url":133},"vLLM documentation: vllm bench serve","https:\u002F\u002Fdocs.vllm.ai\u002Fen\u002Flatest\u002Fcli\u002Fbench\u002Fserve.html",{"title":135,"url":136},"SemiAnalysis InferenceX: Llama 3.3 70B on H100 vs H200","https:\u002F\u002Finferencex.semianalysis.com\u002Fcompare\u002Fllama-3-3-70b-h100-vs-h200",{"title":138,"url":139},"Scaleway GPU instances pricing","https:\u002F\u002Fwww.scaleway.com\u002Fen\u002Fpricing\u002Fgpu\u002F",{"title":141,"url":142},"Scaleway blog: a transparent update on Scaleway pricing (27 April 2026)","https:\u002F\u002Fwww.scaleway.com\u002Fen\u002Fblog\u002Fa-transparent-update-on-scaleway-pricing\u002F",{"title":144,"url":145},"Scaleway Generative APIs pricing","https:\u002F\u002Fwww.scaleway.com\u002Fen\u002Fpricing\u002Fmodel-as-a-service\u002F",{"title":147,"url":148},"OVHcloud public cloud price list","https:\u002F\u002Fwww.ovhcloud.com\u002Fen\u002Fpublic-cloud\u002Fprices\u002F",{"title":150,"url":151},"OVHcloud AI Endpoints","https:\u002F\u002Fwww.ovhcloud.com\u002Fen\u002Fpublic-cloud\u002Fai-endpoints\u002F",{"title":153,"url":154},"OVHcloud AI Endpoints model catalogue","https:\u002F\u002Fwww.ovhcloud.com\u002Fen\u002Fpublic-cloud\u002Fai-endpoints\u002Fcatalog\u002F",{"title":156,"url":157},"Hetzner dedicated GPU servers","https:\u002F\u002Fwww.hetzner.com\u002Fdedicated-rootserver\u002Fmatrix-gpu\u002F",{"title":159,"url":160},"NVIDIA newsroom: GeForce RTX 50 Series launch","https:\u002F\u002Fnvidianews.nvidia.com\u002Fnews\u002Fnvidia-blackwell-geforce-rtx-50-series-opens-new-world-of-ai-computer-graphics",{"title":162,"url":163},"NVIDIA GeForce RTX 5090","https:\u002F\u002Fwww.nvidia.com\u002Fen-us\u002Fgeforce\u002Fgraphics-cards\u002F50-series\u002Frtx-5090\u002F",{"title":165,"url":166},"NVIDIA GeForce software licence","https:\u002F\u002Fwww.nvidia.com\u002Fen-us\u002Fdrivers\u002Fgeforce-license\u002F",{"title":168,"url":169},"GDPR Article 28: processor","https:\u002F\u002Fgdpr-info.eu\u002Fart-28-gdpr\u002F",{"title":171,"url":172},"GDPR Article 44: general principle for transfers","https:\u002F\u002Fgdpr-info.eu\u002Fart-44-gdpr\u002F",{"title":174,"url":175},"European Commission: EU-US data transfers (Data Privacy Framework)","https:\u002F\u002Fcommission.europa.eu\u002Flaw\u002Flaw-topic\u002Fdata-protection\u002Finternational-dimension-data-protection\u002Feu-us-data-transfers_en",{"title":177,"url":178},"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":180,"url":181},"Mistral AI pricing","https:\u002F\u002Fmistral.ai\u002Fpricing","\u002Fimages\u002Fblog\u002Fself-hosted-llm-gdpr-cost\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fself-hosted-llm-gdpr-cost\u002Fog.jpg","ai-engineer",[74,75,76],"Saját LLM-üzemeltetés a GDPR miatt: mikor kell és mibe kerül","Saját LLM a GDPR miatt: mikor kell, mennyi GPU-memória kell a nyílt modellekhez, az EU-s árak 2026 októberében és a break-even millió tokenenként.","Saját LLM-üzemeltetés a GDPR miatt: szerverszekrény egy zárt házban, malacpersely és érmék mellett.",{"slug":190,"published":191,"updated":192,"minutes":84,"category":8,"tags":193,"tagPages":198,"keywords":199,"about":210,"sources":218,"cover":254,"og":255,"expertise":72,"locales":256,"lang":76,"title":257,"description":258,"coverAlt":259},"shop-search-analytics","2026-10-06","2026-10-17",[194,195,196,197,14],"Search analytics","Zero-result search","Position bias","Search logs",[17],[200,201,202,203,204,205,206,207,208,209],"webshop keresésanalitika","nulla találatos arány","nulla találatos keresési lekérdezések","oldalkeresési mutatók","keresési átkattintási arány pozícióhatás","lekérdezési szándék osztályozás llm","keresés elhagyási arány","szinonimák nulla találatos lekérdezésekből","interleaving vs a\u002Fb teszt keresés","keresési napló megőrzés gdpr",[211,214,217],{"name":212,"url":213},"Information retrieval","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FInformation_retrieval",{"name":215,"url":216},"Learning to rank","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FLearning_to_rank",{"name":37,"url":38},[219,222,225,228,231,234,237,240,243,246,249,251],{"title":220,"url":221},"Algolia: search analytics concepts (metrics and definitions)","https:\u002F\u002Fwww.algolia.com\u002Fdoc\u002Fguides\u002Fsearch-analytics\u002Fconcepts\u002F",{"title":223,"url":224},"Algolia: query aggregation and userToken","https:\u002F\u002Fwww.algolia.com\u002Fdoc\u002Fguides\u002Fsearch-analytics\u002Fconcepts\u002Fquery-aggregation\u002F",{"title":226,"url":227},"User Behavior Insights (UBI) specification 1.3.0","https:\u002F\u002Fgithub.com\u002Fo19s\u002Fubi",{"title":229,"url":230},"Google Research: position bias estimation for unbiased learning to rank in personal search (WSDM 2018)","https:\u002F\u002Fresearch.google\u002Fpubs\u002Fposition-bias-estimation-for-unbiased-learning-to-rank-in-personal-search\u002F",{"title":232,"url":233},"eBay: click propensity estimation for e-commerce search (SPIRE 2019)","https:\u002F\u002Farxiv.org\u002Fabs\u002F1812.09338",{"title":235,"url":236},"Chapelle, Joachims, Radlinski, Yue: interleaved search evaluation (TOIS 2012)","https:\u002F\u002Fwww.cs.cornell.edu\u002Fpeople\u002Ftj\u002Fpublications\u002Fchapelle_etal_12a.pdf",{"title":238,"url":239},"Shopping Queries Dataset (ESCI), KDD Cup 2022","https:\u002F\u002Farxiv.org\u002Fabs\u002F2206.06588",{"title":241,"url":242},"BERTopic: neural topic modeling with class-based TF-IDF","https:\u002F\u002Farxiv.org\u002Fabs\u002F2203.05794",{"title":244,"url":245},"Hello Retail: ecommerce search statistics (24 Feb 2026)","https:\u002F\u002Fhelloretail.com\u002Fen\u002Fblog\u002F2026-02-24-ecommerce-search-statistics\u002F",{"title":247,"url":248},"Algolia: adding synonyms","https:\u002F\u002Fwww.algolia.com\u002Fdoc\u002Fguides\u002Fmanaging-results\u002Foptimize-search-results\u002Fadding-synonyms\u002F",{"title":50,"url":250},"https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2016\u002F679\u002Foj",{"title":252,"url":253},"Arbeitsverfassungsgesetz § 96, RIS (consolidated text)","https:\u002F\u002Fwww.ris.bka.gv.at\u002FNormDokument.wxe?Abfrage=Bundesnormen&Gesetzesnummer=10008329&Paragraf=96","\u002Fimages\u002Fblog\u002Fshop-search-analytics\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fshop-search-analytics\u002Fog.jpg",[74,75,76],"Webshop-keresésanalitika: mit naplózzon, és mely javításokat vezesse be elsőként","Webshop-keresés mérése: egységes eseményséma, öt mutató célértékekkel, pozícióhatás-korrekció, heti null találatos átnézés és GDPR-korlátok.","Webshop-keresésanalitika: nagyító egy oszlopdiagram mellett, az egyik oszlop üres.",{"slug":261,"published":262,"updated":83,"minutes":263,"category":264,"tags":265,"tagPages":270,"keywords":271,"about":280,"sources":292,"cover":333,"og":334,"expertise":184,"locales":335,"lang":76,"title":336,"description":337,"coverAlt":338},"works-council-ai-tools-austria-germany","2026-10-02",11,"security",[266,267,268,14,269],"Works council","AI coding tools","Employee monitoring","Co-determination",[17],[272,273,274,275,276,277,278,279],"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",[281,283,286,289],{"name":37,"url":282},"https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2016\u002F679\u002Foj\u002Feng",{"name":284,"url":285},"EU Artificial Intelligence Act (Regulation (EU) 2024\u002F1689)","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj\u002Feng",{"name":287,"url":288},"Arbeitsverfassungsgesetz (Austrian Labour Constitution Act)","https:\u002F\u002Fwww.ris.bka.gv.at\u002FGeltendeFassung.wxe?Abfrage=Bundesnormen&Gesetzesnummer=10008329",{"name":290,"url":291},"Betriebsverfassungsgesetz (German Works Constitution Act), § 87","https:\u002F\u002Fwww.gesetze-im-internet.de\u002Fbetrvg\u002F__87.html",[293,295,297,300,303,304,307,309,312,315,318,321,324,327,330],{"title":294,"url":288},"Arbeitsverfassungsgesetz (ArbVG), §§ 96 and 96a, consolidated text of 10 October 2026, RIS",{"title":296,"url":291},"Betriebsverfassungsgesetz (BetrVG), § 87, gesetze-im-internet.de",{"title":298,"url":299},"Betriebsverfassungsgesetz (BetrVG), § 90, gesetze-im-internet.de","https:\u002F\u002Fwww.gesetze-im-internet.de\u002Fbetrvg\u002F__90.html",{"title":301,"url":302},"Bundesdatenschutzgesetz (BDSG), § 26, gesetze-im-internet.de","https:\u002F\u002Fwww.gesetze-im-internet.de\u002Fbdsg_2018\u002F__26.html",{"title":50,"url":282},{"title":305,"url":306},"GDPR Article 5(1)(e), storage limitation, gdpr-info.eu","https:\u002F\u002Fgdpr-info.eu\u002Fart-5-gdpr\u002F",{"title":308,"url":285},"Regulation (EU) 2024\u002F1689 (AI Act), EUR-Lex",{"title":310,"url":311},"Regulation (EU) 2026\u002F1744, EUR-Lex","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2026\u002F1744\u002Foj",{"title":313,"url":314},"AI Act Article 26, AI Act Explorer","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F26\u002F",{"title":316,"url":317},"AI Act Annex III, AI Act Explorer","https:\u002F\u002Fartificialintelligenceact.eu\u002Fannex\u002F3\u002F",{"title":319,"url":320},"BAG, 1 ABR 16\u002F23 (July 2024), headset system, gesetze.co","https:\u002F\u002Fgesetze.co\u002Furteile\u002F1_ABR_16-23",{"title":322,"url":323},"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":325,"url":326},"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":328,"url":329},"Claude Code documentation: monitoring usage","https:\u002F\u002Fcode.claude.com\u002Fdocs\u002Fen\u002Fmonitoring-usage",{"title":331,"url":332},"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":340,"published":341,"minutes":263,"category":342,"tags":343,"tagPages":348,"keywords":349,"about":358,"sources":366,"cover":414,"og":415,"expertise":184,"locales":416,"lang":76,"title":417,"description":418,"coverAlt":419},"ai-assisted-development-economics","2026-10-01","agents",[344,345,346,347,14],"AI coding agents","Developer productivity","Engineering economics","Team cost",[17],[350,351,352,353,354,355,356,357],"ai kódoló ügynökök költsége","fejlesztői produktivitás ai kutatás","metr ai fejlesztői lassulás","ai kódolás megtérési költségmodell","egy senior fejlesztő vs csapat","ai kódoló ügynök vs ügynökség","dora ai adoptációs jelentés","gdpr adatfeldolgozói szerződés ai kódolóeszközök",[359,360,363],{"name":37,"url":38},{"name":361,"url":362},"Randomized controlled trial","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FRandomized_controlled_trial",{"name":364,"url":365},"Bus factor","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FBus_factor",[367,370,373,376,379,382,385,388,391,394,397,400,402,405,408,411],{"title":368,"url":369},"METR: early-2025 AI and experienced open-source developers","https:\u002F\u002Fmetr.org\u002Fblog\u002F2025-07-10-early-2025-ai-experienced-os-dev-study\u002F",{"title":371,"url":372},"Becker et al.: arXiv 2507.09089","https:\u002F\u002Farxiv.org\u002Fabs\u002F2507.09089",{"title":374,"url":375},"METR: developer productivity experiment design, February 2026","https:\u002F\u002Fmetr.org\u002Fblog\u002F2026-02-24-uplift-update\u002F",{"title":377,"url":378},"Peng et al.: GitHub Copilot controlled experiment, arXiv 2302.06590","https:\u002F\u002Farxiv.org\u002Fhtml\u002F2302.06590v1",{"title":380,"url":381},"Cui et al.: three field experiments with software developers","https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fresearch\u002F?p=1148213",{"title":383,"url":384},"DORA: State of AI-assisted Software Development 2025","https:\u002F\u002Fresearch.google\u002Fpubs\u002Fdora-2025-state-of-ai-assisted-software-development-report\u002F",{"title":386,"url":387},"Google Cloud: highlights from the 2024 DORA report","https:\u002F\u002Fcloud.google.com\u002Fblog\u002Fproducts\u002Fdevops-sre\u002Fannouncing-the-2024-dora-report",{"title":389,"url":390},"Stack Overflow: Developer Survey 2025, AI","https:\u002F\u002Fsurvey.stackoverflow.co\u002F2025\u002Fai",{"title":392,"url":393},"Ziftci et al.: Migrating Code At Scale With LLMs At Google","https:\u002F\u002Farxiv.org\u002Fabs\u002F2504.09691",{"title":395,"url":396},"Alshahwan et al.: Automated Unit Test Improvement using Large Language Models at Meta","https:\u002F\u002Farxiv.org\u002Fabs\u002F2402.09171",{"title":398,"url":399},"GitClear: AI Copilot Code Quality: 2025 Look Back at 12 Months of Data","https:\u002F\u002Fwww.gitclear.com\u002Fai_assistant_code_quality_2025_research",{"title":401,"url":282},"GDPR, Regulation (EU) 2016\u002F679, Article 28",{"title":403,"url":404},"Anthropic: Commercial Terms of Service","https:\u002F\u002Fwww.anthropic.com\u002Flegal\u002Fcommercial-terms",{"title":406,"url":407},"Claude: pricing","https:\u002F\u002Fclaude.com\u002Fpricing",{"title":409,"url":410},"Claude Platform: data residency","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fbuild-with-claude\u002Fdata-residency",{"title":412,"url":413},"GitHub Copilot: plans and pricing","https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot\u002Fplans","\u002Fimages\u002Fblog\u002Fai-assisted-development-economics\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fai-assisted-development-economics\u002Fog.jpg",[74,75,76],"Egy senior MI-ügynökökkel vagy egy csapattal: mit mondanak a bizonyítékok","A METR, DORA, Microsoft és GitHub kutatásai az MI-kódolóeszközökről, azok korlátai, és egy break-even modell: senior, csapat vagy ügynökség?","MI-ügynökös fejlesztés gazdaságtana: mérlegen egy ember két robottal áll szemben egy négyfős csoporttal.",{"slug":421,"published":341,"minutes":422,"category":264,"tags":423,"tagPages":428,"keywords":430,"about":439,"sources":451,"cover":492,"og":493,"expertise":184,"locales":494,"lang":76,"title":495,"description":496,"coverAlt":497},"dpia-llm-feature-worked-example",12,[424,14,425,426,427],"DPIA","LLM security","Data protection","AI Act",[17,429],"llm-security",[431,432,433,434,435,436,437,438],"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",[440,442,445,448],{"name":37,"url":441},"https:\u002F\u002Feur-lex.europa.eu\u002Flegal-content\u002FEN\u002FTXT\u002F?uri=CELEX:32016R0679",{"name":443,"url":444},"WP29 guidelines on data protection impact assessment (WP248 rev.01)","https:\u002F\u002Fec.europa.eu\u002Fnewsroom\u002Farticle29\u002Fitems\u002F611236\u002Fen",{"name":446,"url":447},"OWASP LLM01:2025 Prompt Injection","https:\u002F\u002Fgenai.owasp.org\u002Fllmrisk\u002Fllm01-prompt-injection\u002F",{"name":449,"url":450},"Regulation (EU) 2024\u002F1689 (AI Act)","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj",[452,453,455,458,461,463,466,469,472,475,477,480,483,486,489,490],{"title":50,"url":441},{"title":454,"url":444},"WP29 guidelines on DPIA, WP248 rev.01 (European Commission item page)",{"title":456,"url":457},"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":459,"url":460},"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":462,"url":178},"EDPB Opinion 28\u002F2024 on AI models, adopted 17 December 2024",{"title":464,"url":465},"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":467,"url":468},"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":470,"url":471},"DSFA-V, BGBl. II Nr. 278\u002F2018 (RIS)","https:\u002F\u002Fwww.ris.bka.gv.at\u002Feli\u002Fbgbl\u002FII\u002F2018\u002F278",{"title":473,"url":474},"DSFA-AV, BGBl. II Nr. 108\u002F2018 (RIS)","https:\u002F\u002Fwww.ris.bka.gv.at\u002Feli\u002Fbgbl\u002FII\u002F2018\u002F108",{"title":476,"url":447},"OWASP Top 10 for LLM Applications 2025: LLM01 Prompt Injection",{"title":478,"url":479},"OWASP Top 10 for LLM Applications 2025: LLM02 Sensitive Information Disclosure","https:\u002F\u002Fgenai.owasp.org\u002Fllmrisk\u002Fllm022025-sensitive-information-disclosure\u002F",{"title":481,"url":482},"OpenAI, Data controls in the OpenAI platform","https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fguides\u002Fyour-data",{"title":484,"url":485},"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":487,"url":488},"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":308,"url":450},{"title":491,"url":311},"Regulation (EU) 2026\u002F1744 (Digital Omnibus on AI), EUR-Lex","\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":499,"published":500,"updated":262,"minutes":501,"category":342,"tags":502,"tagPages":506,"keywords":508,"about":519,"sources":527,"cover":575,"og":576,"expertise":184,"locales":577,"lang":76,"title":578,"description":579,"coverAlt":580},"ai-agent-memory-design","2026-09-10",13,[503,504,505,14],"AI agent memory","Context engineering","Memory poisoning",[507,17],"context-engineering",[509,510,511,512,513,514,515,516,517,518],"ai ügynök memória tervezés","hosszú távú memória ai ügynökökhöz","epizodikus szemantikus procedurális memória llm","ügynök memória architektúra","chatgpt memória vs claude memória","claude memory tool","ai memória mérgezés","llm kontextus tömörítés","ai ügynök memória gdpr","rövid távú vs hosszú távú memória ügynökök",[520,523,524],{"name":521,"url":522},"Intelligent agent","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FIntelligent_agent",{"name":37,"url":38},{"name":525,"url":526},"Prompt injection","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPrompt_injection",[528,531,534,537,540,543,546,549,552,555,558,561,564,567,570,572],{"title":529,"url":530},"Anthropic docs: Memory tool","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fagents-and-tools\u002Ftool-use\u002Fmemory-tool",{"title":532,"url":533},"Anthropic docs: Context editing","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fbuild-with-claude\u002Fcontext-editing",{"title":535,"url":536},"Anthropic Engineering: Effective context engineering for AI agents","https:\u002F\u002Fwww.anthropic.com\u002Fengineering\u002Feffective-context-engineering-for-ai-agents",{"title":538,"url":539},"Sumers et al.: Cognitive Architectures for Language Agents (CoALA)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2309.02427",{"title":541,"url":542},"Packer et al.: MemGPT, Towards LLMs as Operating Systems","https:\u002F\u002Farxiv.org\u002Fabs\u002F2310.08560",{"title":544,"url":545},"Park et al.: Generative Agents, Interactive Simulacra of Human Behavior","https:\u002F\u002Farxiv.org\u002Fabs\u002F2304.03442",{"title":547,"url":548},"Unit 42: When AI Remembers Too Much, persistent behaviors in agents memory","https:\u002F\u002Funit42.paloaltonetworks.com\u002Findirect-prompt-injection-poisons-ai-longterm-memory\u002F",{"title":550,"url":551},"From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents (preprint)","https:\u002F\u002Farxiv.org\u002Fhtml\u002F2606.04329v1",{"title":553,"url":554},"The Hacker News: ChatGPT macOS flaw could have enabled long-term spyware via memory function","https:\u002F\u002Fthehackernews.com\u002F2024\u002F09\u002Fchatgpt-macos-flaw-couldve-enabled-long.html",{"title":556,"url":557},"Vectorize: OWASP ASI06, Memory and Context Poisoning explained","https:\u002F\u002Fvectorize.io\u002Farticles\u002Fowasp-asi06",{"title":559,"url":560},"Claude Help Center: Use chat search and memory to build on previous context","https:\u002F\u002Fsupport.claude.com\u002Fen\u002Farticles\u002F11817273-use-claude-s-chat-search-and-memory-to-build-on-previous-context",{"title":562,"url":563},"OpenAI Help Center: Memory in ChatGPT","https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F8590148-memory-faq",{"title":565,"url":566},"OpenAI Help Center: Dots privacy, security, and safety FAQs","https:\u002F\u002Fhelp.openai.com\u002Fen\u002Farticles\u002F20001529-dots-privacy-security-and-safety-faqs",{"title":568,"url":569},"Flavio Copes: A deep dive into OpenAI dots (quotes the dots documentation on memory)","https:\u002F\u002Fflaviocopes.com\u002Fopenai-dots\u002F",{"title":571,"url":306},"GDPR Article 5: Principles relating to processing of personal data",{"title":573,"url":574},"GDPR Article 17: Right to erasure","https:\u002F\u002Fgdpr-info.eu\u002Fart-17-gdpr\u002F","\u002Fimages\u002Fblog\u002Fai-agent-memory-design\u002Fcover.webp","\u002Fimages\u002Fblog\u002Fai-agent-memory-design\u002Fog.jpg",[74,75,76],"AI-ügynökök memóriájának tervezése: szintek, írási szabályok, poisoning és GDPR","Hogyan tervezz memóriát AI-ügynököknek: kontextus, session és hosszú távú szint, mit tárolj és mit soha, retrieval, compaction, poisoning, GDPR-törlés.","MI-ügynökök memóriatervezése: egy robot kartotékkártyát tesz egy háromfiókos szekrény nyitott fiókjába.",{"slug":582,"published":583,"updated":584,"minutes":263,"category":264,"tags":585,"tagPages":591,"keywords":592,"about":605,"sources":612,"cover":627,"og":628,"expertise":184,"locales":629,"lang":76,"title":630,"description":631,"coverAlt":632},"gdpr-llm-api-eu-data-residency","2026-08-28","2026-09-02",[14,586,587,588,589,590],"Data residency","LLM API","Zero data retention","PII minimisation","EU hosting",[17],[593,594,595,596,597,598,599,600,601,602,603,604],"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",[606,607,609],{"name":37,"url":38},{"name":586,"url":608},"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FData_residency",{"name":610,"url":611},"Pseudonymization","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPseudonymization",[613,616,619,622,625],{"title":614,"url":615},"Claude API docs: Data residency (inference_geo, workspace geo, pricing)","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fmanage-claude\u002Fdata-residency",{"title":617,"url":618},"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":620,"url":621},"Claude API docs: Models overview (platform model IDs, endpoint types)","https:\u002F\u002Fplatform.claude.com\u002Fdocs\u002Fen\u002Fabout-claude\u002Fmodels\u002Foverview",{"title":623,"url":624},"OpenAI: Introducing data residency in Europe","https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-data-residency-in-europe\u002F",{"title":626,"url":250},"Regulation (EU) 2016\u002F679 (General Data Protection Regulation), EUR-Lex","\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":634,"published":635,"updated":636,"minutes":422,"category":264,"tags":637,"tagPages":641,"keywords":642,"about":653,"sources":661,"cover":722,"og":723,"expertise":184,"locales":724,"lang":76,"title":725,"description":726,"coverAlt":727},"pii-redaction-llm-pipelines","2026-06-26","2026-09-01",[638,14,639,425,640],"PII redaction","Microsoft Presidio","Pseudonymisation",[17,429],[643,644,645,646,647,648,649,650,651,652],"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",[654,657,658],{"name":655,"url":656},"Personal data","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FPersonal_data",{"name":37,"url":38},{"name":659,"url":660},"Data anonymization","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FData_anonymization",[662,665,668,671,674,677,680,683,686,689,692,695,698,701,704,707,710,713,716,719],{"title":663,"url":664},"Microsoft Presidio: documentation (limitations, methods)","https:\u002F\u002Fpresidio.dataprivacystack.org\u002F",{"title":666,"url":667},"Presidio: supported entities and country-specific recognizers","https:\u002F\u002Fpresidio.dataprivacystack.org\u002Fsupported_entities\u002F",{"title":669,"url":670},"Presidio: supporting additional languages","https:\u002F\u002Fpresidio.dataprivacystack.org\u002Fanalyzer\u002Flanguages\u002F",{"title":672,"url":673},"Presidio: anonymizer operators","https:\u002F\u002Fpresidio.dataprivacystack.org\u002Fanonymizer\u002F",{"title":675,"url":676},"Google Cloud: infoTypes reference","https:\u002F\u002Fdocs.cloud.google.com\u002Fsensitive-data-protection\u002Fdocs\u002Finfotypes-reference",{"title":678,"url":679},"Google Cloud: pseudonymization in Sensitive Data Protection","https:\u002F\u002Fdocs.cloud.google.com\u002Fsensitive-data-protection\u002Fdocs\u002Fpseudonymization",{"title":681,"url":682},"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":684,"url":685},"AWS: Detecting PII entities with Amazon Comprehend","https:\u002F\u002Fdocs.aws.amazon.com\u002Fcomprehend\u002Flatest\u002Fdg\u002Fhow-pii.html",{"title":687,"url":688},"spaCy: models and languages","https:\u002F\u002Fspacy.io\u002Fusage\u002Fmodels",{"title":690,"url":691},"Hugging Face: novakat\u002Fnerkor-hubert (Hungarian NER)","https:\u002F\u002Fhuggingface.co\u002Fnovakat\u002Fnerkor-hubert",{"title":693,"url":694},"arXiv: An Evaluation Study of Hybrid Methods for Multilingual PII Detection","https:\u002F\u002Farxiv.org\u002Fabs\u002F2510.07551",{"title":696,"url":697},"LiteLLM: Presidio PII masking guardrail","https:\u002F\u002Fdocs.litellm.ai\u002Fdocs\u002Fproxy\u002Fguardrails\u002Fpii_masking_v2",{"title":699,"url":700},"Langfuse: masking","https:\u002F\u002Flangfuse.com\u002Fdocs\u002Fobservability\u002Ffeatures\u002Fmasking",{"title":702,"url":703},"GDPR Article 4: definitions (pseudonymisation, 4(5))","https:\u002F\u002Fgdpr-info.eu\u002Fart-4-gdpr\u002F",{"title":705,"url":706},"EDPB: Guidelines 01\u002F2025 on Pseudonymisation","https:\u002F\u002Fwww.edpb.europa.eu\u002Four-work-tools\u002Fdocuments\u002Fpublic-consultations\u002F2025\u002Fguidelines-012025-pseudonymisation_en",{"title":708,"url":709},"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":711,"url":712},"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":714,"url":715},"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":717,"url":718},"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":720,"url":721},"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.",1793451238435]