AI Agent Security, Evaluation, and Prompt Engineering Articles
Technical articles on AI agent security, prompt injection, LLM evaluation, prompt engineering, code review, and reliable AI workflow design.
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LLM Improper Output Handling: Risks, Controls, and Test CasesA sink-aware security model for validating, authorizing, encoding, and testing LLM output before it reaches browser...
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When AI Systems Optimize Against the User’s Real GoalHow competing system objectives can produce acceptable outputs without completing the user’s actual task.
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User Prompt vs. Model Context: What the Model Can ReferenceA user prompt can be one part of the information available to an AI model. Learn what model...
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LLM, RAG, AI Agents, and MCP: What Each Term MeansA technically precise explanation of LLMs, retrieval-augmented generation, AI agents, and the Model Context Protoco...
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LLM Agent Memory Architecture: Types, Lifecycle, and EvaluationA vendor-agnostic systems model for LLM agent memory types, working state, persistent memory, representation and st...
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LLM Prompt Injection: 10 Boundary Failures and ControlsAn architecture-level mapping of prompt-injection-related LLM application failure modes to OWASP LLM Top 10 and NIS...