Secure autonomous AI agent framework and platform. Build AI teams by describing what you want. Orchestrate agents that can do everything a human can do.
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Updated
May 17, 2026 - Python
Secure autonomous AI agent framework and platform. Build AI teams by describing what you want. Orchestrate agents that can do everything a human can do.
Jupyter notebooks for testing Prisma AIRS AI Runtime with your LLM
AI agent runtime governance control plane: intercept tool calls with PII protection, approvals, and formal verification.
Demo AI chat app with optional Prisma AIRS Runtime Security for before/after red team testing comparison
Postman collection of test prompts to use for evaluating Prisma AIRS
ACR Control Plane: runtime control & governance for agentic AI (six-pillar enforcement).
Practical guardrails against silent GPU-side model corruption
Live-state attestation and drift detection for secure AI inference runtimes
Hands-on labs to reproduce real-world AI agent security exploits and compare isolation strategies: Docker containers vs micro-VMs
Per-action AI agent risk scoring and governance. Deterministic 5D scoring, HITL gating, FinOps, Agent Cost Management, Markov drift, audit log. Apache-2.0.
Research repository focused on AI agent security, AI-generated code risks, workflow attack surfaces, MCP security, and AI DevSecOps.
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