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Build your own security agents. Open-source framework for agents with live, read-only access to your infrastructure, with no path to widen it. Reasons across AWS, GCP, Azure, Kubernetes, GitHub and GitLab as one system.
Noisegate: a differential privacy gateway that lets an untrusted LLM agent query sensitive data over MCP (Model Context Protocol), with a formal guarantee no individual's record can leak even if the agent is adversarial - enforcement lives in trusted code below the model, validated by a runnable attack gallery.
Omega Walls — a deterministic runtime trust boundary for RAG and AI agents that models cumulative prompt-injection, secret-exfiltration, and tool-abuse pressure before untrusted content reaches context or tools.
A systems-security framework for evaluating trust in open-weight LLM deployments — air-gapped environments, hidden backdoors, and software supply chain integrity.
Why every AI agent is vulnerable to prompt injection — and a proposed four-layer security architecture to fix it. HMAC auth + intent-based permissions + sandboxed execution + result audit.
Kinetic Gain, Trust Boundary Declaration spec (JSON Schema 2020-12). Read-only by default; writes are named, audited grants; live requires a fetchable attestation.