# case-studies
32 artikelengetagd met “case-studies”
Casestudy: incidenten met AI-ondersteunde malwaregeneratie
Analysis of documented incidents where large language models were used to generate, enhance, or obfuscate malware, including the implications for threat landscape evolution and defensive strategies.
Casestudy: misbruik van bias in een AI-wervingssysteem
Analysis of adversarial attacks on AI hiring systems and resume screening exploitation.
Casestudy: falen van autonome agents
Analysis of real-world autonomous agent failures including unintended actions and safety violations.
Casestudy: adversarial aanvallen op perceptiesystemen van autonome voertuigen
Analysis of adversarial attacks targeting autonomous vehicle perception systems, including stop sign perturbation, phantom object injection, and LiDAR spoofing, with implications for safety-critical AI deployment.
Casestudy: indirecte injection bij Bing Chat
Analysis of the Bing Chat indirect prompt injection incidents and their implications for web-browsing AI.
Casestudy: Bing Chat 'Sydney'-jailbreak en het ontstaan van een persona (2023)
Analysis of the Bing Chat 'Sydney' persona incidents where Microsoft's AI search assistant exhibited manipulative behavior, emotional coercion, and system prompt leakage through jailbreak techniques.
Casestudy: het lek van vertrouwelijke data bij Samsung via ChatGPT (2023)
Detailed analysis of how Samsung semiconductor engineers leaked proprietary source code and meeting notes through ChatGPT, triggering an industry-wide reckoning with enterprise AI data governance.
Casestudy: beveiligingskwetsbaarheden in ChatGPT-plug-ins
Analysis of security vulnerabilities discovered in the ChatGPT plugin ecosystem, including OAuth hijacking, cross-plugin data exfiltration, and prompt injection through plugin responses.
Casestudy: kwetsbaarheden in ChatGPT-plug-ins
Analysis of real vulnerabilities discovered in ChatGPT plugins including data exfiltration and prompt injection.
Casestudy: code injection bij GitHub Copilot
Analysis of prompt injection vulnerabilities in GitHub Copilot through malicious repository content.
Casestudy: GitHub Copilot die kwetsbare code genereert
Analysis of research findings demonstrating that GitHub Copilot and similar AI code assistants systematically generate code containing security vulnerabilities, and the implications for software supply chain security.
Casestudy: bevindingen uit de veiligheidsevaluatie van het DeepSeek-model
Comprehensive analysis of safety evaluation findings for DeepSeek models, including comparative assessments against GPT-4 and Claude, jailbreak susceptibility testing, and implications for open-weight model deployment.
Casestudy: AI-deepfakes bij de verkiezingen van 2024
Analysis of documented AI-generated deepfake incidents during the 2024 global election cycle, including the New Hampshire Biden robocall, Slovakian audio deepfake, and broader implications for electoral integrity.
Casestudy: vroege jailbreaks van GPT-4
Analysis of early GPT-4 jailbreak techniques including DAN, grandma exploit, and developer mode.
Casestudy: jailbreak-aanvallen op GPT-4 Vision
Analysis of visual jailbreak techniques targeting GPT-4V's multimodal capabilities, including typography attacks, adversarial images, and cross-modal prompt injection.
Casestudy: falen van AI-systemen in de zorg en patiëntveiligheid
Analysis of documented healthcare AI system failures including the UnitedHealth/Optum claims denial algorithm, Epic sepsis model performance gaps, and IBM Watson for Oncology's unsafe treatment recommendations.
Casestudy: indirecte prompt injection in AI-e-mailassistenten
Analysis of indirect prompt injection attacks targeting AI-powered email assistants, where adversarial instructions embedded in emails hijack the assistant's behavior to exfiltrate data, send unauthorized messages, or manipulate user actions.
Casestudy: analyse van LangChain-CVE's
Analysis of LangChain CVEs including CVE-2023-29374, CVE-2023-36258, and their root causes.
Casestudy: remote code execution-kwetsbaarheden in LangChain (CVE-2023-29374 en CVE-2023-36258)
Technical analysis of critical remote code execution vulnerabilities in LangChain's LLMMathChain and PALChain components that allowed arbitrary Python execution through crafted LLM outputs.
Casestudy: gehallucineerde bronvermeldingen van een advocaat
Analysis of the Mata v. Avianca case where a lawyer submitted AI-hallucinated legal citations.
Casestudy: vroege disclosures van MCP-kwetsbaarheden
Analysis of early MCP vulnerability disclosures including Invariant Labs tool poisoning research.
Casestudy: MCP tool poisoning-aanvallen (Invariant Labs 2025)
Analysis of tool poisoning vulnerabilities in the Model Context Protocol (MCP) discovered by Invariant Labs, where malicious tool descriptions manipulate AI agents into data exfiltration and unauthorized actions.
Casestudy: modelextractie in de praktijk
Analysis of documented model extraction attacks against commercial ML APIs.
Casestudy: vergiftiging van trainingsdata in codegeneratiemodellen
Analysis of training data poisoning attacks targeting code generation models like GitHub Copilot and OpenAI Codex, where adversarial code patterns in training data cause models to suggest vulnerable or malicious code.
Casestudy: multimodale jailbreak-campagnes
Analysis of multimodal jailbreak campaigns targeting GPT-4V and Gemini vision capabilities.
Casestudy: prompt injection-aanvallen op Google Bard/Gemini
Analysis of prompt injection vulnerabilities discovered in Google Bard (later Gemini), including indirect injection through Google Workspace integration and the unique attack surface created by multimodal capabilities.
Casestudy: het Samsung-datalek via ChatGPT
Analysis of the Samsung confidential code leak through ChatGPT and organizational AI policy implications.
Casestudy: extractie van trainingsdata uit GPT
Analysis of the Carlini et al. work on extracting training data from ChatGPT in production.
Opmerkelijke AI-beveiligingsincidenten
A comprehensive timeline and analysis of major AI security incidents, from Bing Chat jailbreaks to ChatGPT data leaks and agent exploitation in the wild. Root cause analysis and impact assessment for each incident.
Analyse van gepubliceerde red team-rapporten
Deep analysis of published red team reports from Anthropic, OpenAI, Google DeepMind, and METR. Methodology breakdowns, key findings, and how to read and learn from professional red team assessments.
Casestudy's
Real-world AI security incidents, domain-specific case studies, incident analysis reports, and platform security evaluations that ground theoretical knowledge in practical experience.
Prompt injection in productiesystemen
Praktijkgevallen van prompt injection-exploits in productie-AI-implementaties, inclusief aanvalstijdlijnen, impactanalyse en geleerde lessen.