Why Tool-Calling Agent Security Is a Structural Problem
Why text-driven tool calls make AI agent delegation a structural security issue, backed by refusal-rate evidence.
Why text-driven tool calls make AI agent delegation a structural security issue, backed by refusal-rate evidence.
Why reused coding agent config files can become an unmanaged control layer with security and operational risks.
Shows with public metrics that alignment and guardrails affect instruction following, harmful output, and hallucination trade-offs.
DistractionIF shows how RAG systems misread instruction-like noise in documents and why pipeline design matters.
Examines security risks in RAG when prompt injection and database poisoning combine across retrieval and indexing.
Agent security depends less on benchmark scores than on tracing execution provenance across generation, handoffs, and permissions.
How prompt injection rides untrusted content into tool calls, and how to mitigate it with least privilege, sandboxing, fixed schemas, and output validation.
Analyzes AI steganography threats where hidden data manipulates models and explores defense strategies like RepreGuard.