# analysis
29 artikelengetagd met “analysis”
Beveiligingsanalyse van MCP SSE-transport
Beveiligingsanalyse van Server-Sent Events-transport in MCP, inclusief herverbindingsaanvallen en event-injectie.
Technieken voor bewijsanalyse bij AI-incidenten
Geavanceerde technieken voor het analyseren van bewijs uit AI-beveiligingsincidenten, waaronder logcorrelatie, analyse van modelgedrag en onderzoek van artefacten.
Forensics van modelgedrag
Forensische analyse van veranderingen in modelgedrag om mogelijke compromittering of manipulatie te detecteren.
Root-cause-analyse voor AI-storingen
Het uitvoeren van root-cause-analyse voor storingen in AI-systemen, inclusief het onderscheiden van aanvallen, bugs en drift-gerelateerde incidenten.
Casestudy: analyse van LangChain-CVE's
Analysis of LangChain CVEs including CVE-2023-29374, CVE-2023-36258, and their root causes.
Geleerde lessen en patroonanalyse
Systematic analysis of patterns across AI security incidents. Common root causes, recurring vulnerability classes, industry response patterns, and actionable lessons for red teamers.
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.
Incidentanalyse-club
Community analysis of recent AI security incidents with collaborative investigation and documentation.
Beveiligingsanalyse van adapterlagen
Security analysis of adapter-based fine-tuning including LoRA, prefix tuning, and prompt tuning.
Analyse van PEFT-kwetsbaarheden
Security analysis of Parameter-Efficient Fine-Tuning methods beyond LoRA.
Analyse van AI-regelgeving in China
Analyse van het AI-regelgevingskader van China, inclusief de Algorithm Recommendation Regulation en de GenAI-maatregelen.
Analyse van de Britse AI-regelgeving
Analysis of the UK's pro-innovation approach to AI regulation and its implications for AI security.
Analyse van AI-regulering in China (governance-compliance)
Analysis of China's AI regulatory framework including algorithmic recommendation rules and generative AI provisions.
Lab voor analyse van reward-modellen
Analyze and exploit reward model biases to craft responses that score high on safety while embedding harmful content.
Lab: loganalyse van injection-pogingen
Build a logging pipeline to capture and analyze injection attempts for pattern discovery and technique refinement.
Lab voor analyse van promptstructuur
Reverse-engineer the prompt structure of target applications by analyzing response patterns and behavioral cues.
Lab: weigeringspatronen van modellen analyseren
Systematically map model refusal patterns to understand safety training boundaries and identify potential bypasses.
Grondbeginselen van responsanalyse
Learn to analyze LLM responses for information leakage, inconsistencies, and indicators of safety mechanism activation.
Analyse van API-responseheaders
Analyze HTTP response headers from LLM APIs to fingerprint providers, versions, and middleware.
Side-channel-analyse van responstiming
Use response timing differences to infer information about model processing and guardrail activation.
Lab: log probability-analyse voor aanvallen
Use token log probabilities to extract information about training data, system prompts, and model internals.
Beveiligingsanalyse van Phi-modellen
Security analysis of Microsoft's Phi small language model family including safety vs capability tradeoffs.
Beveiligingsanalyse van Qwen-modellen
Security analysis of Alibaba's Qwen model family including multilingual safety considerations.
Beveiligingsanalyse van model merging (trainingspipeline)
Beveiligingsanalyse van model-merging-technieken en de voortplanting van kwetsbaarheden via samengevoegde modellen.
Walkthrough: analyse van LLM-watermerken
Walkthrough of detecting and analyzing watermarks in LLM-generated text using statistical methods.
Concurrentieanalyse van AI-beveiligingstools
Methodology for evaluating and comparing AI security tools for red team operations.
Methodologie voor analyse na het engagement
Conduct thorough post-engagement analysis including lessons learned, technique effectiveness, and methodology refinement.
Deep dive: analyse van garak-scanrapporten
Intermediate walkthrough on analyzing garak scan reports, including JSONL parsing, false positive identification, vulnerability categorization, executive summary generation, and trend tracking.