Deterministic enforcement for AI agents.
Deconvolute Labs
Production infrastructure for AI agent systems. Reliability, observability, cost efficiency.
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Showing 8 of 8 repositories
- interbolt-agentdojo Public
Evaluating provenance-gated tool calls as a prompt injection defense on AgentDojo. Reproducible runs, per-case analysis, and published results.
- deconvolute Public
Policy-as-code enforcement and observability for MCP tool calls. Wraps AI agent sessions with cryptographic integrity checks, argument-level CEL policies, and a full audit trail.
- mcp-deconvolute-demo Public
Live PoC: MCP attacks that compromise AI agents mid-session and how to block them in a few lines of code.
- benchmarks Public
Reproducible security benchmarking for the Deconvolute SDK and AI system integrity against adversarial attacks.
- trojan-rag-demo Public
A demonstration of RAG poisoning attacks using dormant documentation injections.
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