# analysis
29 articlestagged with “analysis”
MCP SSE Transport Security Analysis
Security analysis of Server-Sent Events transport in MCP including reconnection attacks and event injection.
Evidence Analysis Techniques for AI Incidents
Advanced techniques for analyzing evidence from AI security incidents including log correlation, model behavior analysis, and artifact examination.
Model Behavior Forensics
Forensic analysis of model behavior changes to detect potential compromise or manipulation.
Root Cause Analysis for AI Failures
Conducting root cause analysis for AI system failures including distinguishing between attacks, bugs, and drift-related incidents.
Case Study: LangChain CVE Analysis
Analysis of LangChain CVEs including CVE-2023-29374, CVE-2023-36258, and their root causes.
Lessons Learned & Pattern Analysis
Systematic analysis of patterns across AI security incidents. Common root causes, recurring vulnerability classes, industry response patterns, and actionable lessons for red teamers.
Published Red Team Reports Analysis
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.
Case Studies
Real-world AI security incidents, domain-specific case studies, incident analysis reports, and platform security evaluations that ground theoretical knowledge in practical experience.
Incident Analysis Club
Community analysis of recent AI security incidents with collaborative investigation and documentation.
Adapter Layer Security Analysis
Security analysis of adapter-based fine-tuning including LoRA, prefix tuning, and prompt tuning.
PEFT Vulnerability Analysis
Security analysis of Parameter-Efficient Fine-Tuning methods beyond LoRA.
China AI Regulation Analysis
Analysis of China's AI regulatory framework including the Algorithm Recommendation Regulation and GenAI measures.
UK AI Regulation Analysis
Analysis of the UK's pro-innovation approach to AI regulation and its implications for AI security.
China AI Regulation Analysis (Governance Compliance)
Analysis of China's AI regulatory framework including algorithmic recommendation rules and generative AI provisions.
Reward Model Analysis Lab
Analyze and exploit reward model biases to craft responses that score high on safety while embedding harmful content.
Lab: Injection Attempt Log Analysis
Build a logging pipeline to capture and analyze injection attempts for pattern discovery and technique refinement.
Prompt Structure Analysis Lab
Reverse-engineer the prompt structure of target applications by analyzing response patterns and behavioral cues.
Lab: Analyzing Model Refusal Patterns
Systematically map model refusal patterns to understand safety training boundaries and identify potential bypasses.
Response Analysis Fundamentals
Learn to analyze LLM responses for information leakage, inconsistencies, and indicators of safety mechanism activation.
API Response Header Analysis
Analyze HTTP response headers from LLM APIs to fingerprint providers, versions, and middleware.
Response Timing Side-Channel Analysis
Use response timing differences to infer information about model processing and guardrail activation.
Lab: Log Probability Analysis for Attacks
Use token log probabilities to extract information about training data, system prompts, and model internals.
Phi Models Security Analysis
Security analysis of Microsoft's Phi small language model family including safety vs capability tradeoffs.
Qwen Models Security Analysis
Security analysis of Alibaba's Qwen model family including multilingual safety considerations.
Model Merging Security Analysis (Training Pipeline)
Security analysis of model merging techniques and propagation of vulnerabilities through merged models.
LLM Watermark Analysis Walkthrough
Walkthrough of detecting and analyzing watermarks in LLM-generated text using statistical methods.
Competitive Analysis of AI Security Tools
Methodology for evaluating and comparing AI security tools for red team operations.
Post-Engagement Analysis Methodology
Conduct thorough post-engagement analysis including lessons learned, technique effectiveness, and methodology refinement.
Deep Dive into Garak Scan Report Analysis
Intermediate walkthrough on analyzing garak scan reports, including JSONL parsing, false positive identification, vulnerability categorization, executive summary generation, and trend tracking.