[{"data":1,"prerenderedAt":728},["ShallowReactive",2],{"blog-tag-de-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":75,"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],"auftragserfassung automatisieren","e-mail auftragserfassung automatisieren","auftragserfassung aus e-mails","ki auftragsabwicklung erp","auftragsbearbeitung automatisieren","pdf-bestellung ins erp","auftragsautomatisierung roi","fehlerquote auftragserfassung","touchless auftragsverarbeitung","bestellprüfregeln erp",[30,33,36],{"name":31,"url":32},"Sales order","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FSales_order",{"name":34,"url":35},"Enterprise resource 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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 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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 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Was § 96 ArbVG und § 87 BetrVG verlangen und was du vor dem Rollout klären solltest.","KI-Coding-Tools und Betriebsrat: Ein Besprechungstisch mit Laptop, darüber eine abgedeckte Wandkamera.",{"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":75,"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],"kosten coding-agenten","produktivität entwickler ki studie","metr ki entwickler verlangsamung","ki coding break-even kostenmodell","ein senior engineer vs team","ki coding-agent vs agentur","dora ki-bericht","dsgvo auftragsverarbeitung ki coding-tools",[359,360,363],{"name":37,"url":38},{"name":361,"url":362},"Randomized controlled 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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],"Ein Senior mit Coding-Agenten gegen ein Team: was die Belege sagen","Ein Senior mit Coding-Agenten gegen ein Team oder eine Agentur: was die Studien von METR, DORA, Microsoft und GitHub belegen und was nicht.","Senior mit Agenten vs. Team: Eine Waage wiegt eine Person mit zwei Robotern gegen eine Gruppe von vier Personen ab.",{"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":75,"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],"dsfa für llm-features","datenschutz-folgenabschätzung ki-assistent","dsgvo artikel 35 ki","dsfa-v österreich ki","llm kundensupport dsgvo","prompt injection datenabfluss dsgvo","ki-verordnung artikel 50 chatbot","dsfa vorlage 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],"DSFA für einen LLM-Support-Assistenten: ein Beispiel nach Art. 35 DSGVO","DSFA nach Art. 35 DSGVO für einen KI-Assistenten, der Kundenmails mit Bestelldaten beantwortet: wann sie nötig ist und wer die Risiken trägt.","DSFA für LLM-Assistenten: Ein Formular auf einem Klemmbrett neben einem Roboter mit Sprechblase, Lupe und Stempel.",{"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":75,"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],"memory für ki-agenten entwerfen","langzeitgedächtnis für ki-agenten","episodisches semantisches prozedurales gedächtnis llm","agent memory architektur","chatgpt memory vs claude memory","claude memory tool","ki-memory poisoning","llm kontext-kompaktierung","ki-agent memory dsgvo","kurzzeit- vs langzeitgedächtnis agenten",[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],"Memory für KI-Agenten entwerfen: Ebenen, Schreibregeln, Poisoning und DSGVO","So entwirfst du das Gedächtnis von KI-Agenten: Kontext, Session, Langzeit, was du speicherst und nie speicherst, Retrieval, Compaction, Poisoning, DSGVO.","Memory für Agenten: Ein Roboter legt eine Karteikarte in die offene Schublade eines Schranks mit drei Fächern.",{"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":75,"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],"dsgvo-konforme llm api","llm datenresidenz cloud-anbieter","dsgvo llm","eu-datenresidenz ki","llm api dsgvo","claude eu-datenresidenz","openai eu-datenresidenz","zero retention llm","dsgvo pseudonymisierung","llm prompt personenbezogene daten","bedrock eu-region claude","self-hosted llm eu-compliance",[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],"DSGVO-LLM-Datenresidenz: Regionssteuerung, Zero Retention, EU-Optionen","Kann eine LLM-API DSGVO-konform sein? EU-Datenresidenz bei OpenAI, Claude über Bedrock und Google Cloud, Zero Data Retention und Self-Hosting.","DSGVO-LLM-Datenresidenz: Ordner bleiben in einem umzäunten Garten unter einem Sternenkreis, ein Roboter lehnt am Zaun.",{"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":75,"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-schwärzung llm","pii vor llm-anfrage entfernen","microsoft presidio anleitung","pii-erkennung deutsch ungarisch","pseudonymisierung vs anonymisierung dsgvo","reversible tokenisierung llm-prompts","pii in logs und traces schwärzen","llm datenmaskierung","pii-guardrail litellm einrichten","pii-erkennung recall testen",[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-Schwärzung in LLM-Pipelines: wo, wie und was die DSGVO dazu sagt","PII in LLM-Pipelines schwärzen: Tokens oder Maskierung, Presidio, Cloud-DLP, Lücken bei Deutsch und Ungarisch und was die DSGVO dazu sagt.","PII-Schwärzung: Eine Hand schwärzt Zeilen auf einem Blatt, ein Roboter wartet darauf.",1793451238425]