Enterprise AI Attack Chains: Prompt Injection, Tool Abuse, Detection
Technical analysis of enterprise AI attack chains: indirect prompt injection, memory poisoning, tool abuse, MCP exposure, and detection.
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AI Threat Modeling: Trust Boundaries for RAG, Agents, and MCP
Advanced guide to AI threat modeling for RAG, agents, and MCP, with trust boundaries, context provenance, and identity separation.
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Attacks on Embeddings and Vector Databases
Embedding attacks in practice: inversion, membership inference, semantic probing, evidence artifacts, and defenses for vector databases.
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AI Red Team: 12 Failures Beyond Prompt Injection
A practical AI Red Team guide for testing agents, RAG, memory, tools, and autonomy workflows beyond prompt injection, with checklists, metrics, and controls.
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AI Recon: LLMs, RAGs, and Agents
Authorized reconnaissance for enterprise AI: map LLMs, RAG pipelines, agents, tools, IAM, APIs, cloud exposure, and evidence without drifting out of scope.
