Results for “kid-injection”

Detect and defend against prompt injection hidden in documents, web pages, and images consumed by an agent.

Place trusted contextual information into prompts or agent state using explicit boundaries, provenance, and templates. Use when relevant context has already been selected and must be inserted safely; use context-retrieval to find it or context-optimization to choose and order it.

Review docs, tool output, skills, and memory candidates for prompt-injection risk.

Agent validation v4.3.0 — Make agents act effectively by disabling harmful actions, lowering gates, and injecting cross-run learning

Analyzes prompt injection, retrieval poisoning, memory contamination, planner drift, and tool-boundary abuse in agentic systems, mapping trust boundaries and proving exploit chains.

Probe RAG applications for prompt injection via poisoned retrieved context and embedding manipulation.

AI Manipulation Defense System with self-learning prompt injection detection and adaptive mitigation