AI Agent

Panguard AI

Open-source platform for real-time AI agent security, auditing skills and runtime with community-driven threat rules.

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Panguard AI

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What is Panguard AI?

Panguard AI is an open-source security platform for AI agents that audits skills before execution and guards agent actions at runtime using community-driven Agent Threat Rules (ATR).

Panguard AI vs Similar AI Tools

Pricing ModelFree, PaidFree, FreemiumFreeFree
Free Credits
Key Features
  • Scans skills and MCP servers against ATR rules before loading
  • Real-time runtime protection against prompt injection and hijacks
  • Signed audit-ready evidence for compliance (EU AI Act, NYDFS, DORA)
  • Multi-agent workflow with verification and self-healing
  • 50+ AI models auto-routed per agent
  • 1000+ OAuth2 app integrations
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
Pros
  • Open source with MIT license
  • Real-time detection and prevention
  • Replaces 10+ separate tools with one platform
  • Multi-agent orchestration saves time and context switching
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
Cons
  • Enterprise features require paid tiers
  • Setup may require technical expertise
  • Free tier limited to 5,000 credits per month
  • May have a learning curve for complex workflows
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
Best For
  • Developers building and deploying AI agents
  • Enterprises needing audit-ready AI security
  • Marketing teams
  • Content creators
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams

How to use Panguard AI?

  1. 1Install PanGuard with the one-line command (curl -fsSL https://get.panguard.ai | bash).
  2. 2Scan any skill or MCP server using the CLI (pga scan <file>).
  3. 3Deploy runtime protection which blocks threats and emits signed audit evidence.

Panguard AI Key Features

  • Scans skills and MCP servers against ATR rules before loading
  • Real-time runtime protection against prompt injection and hijacks
  • Signed audit-ready evidence for compliance (EU AI Act, NYDFS, DORA)
  • Community-driven threat rule updates (768 rules and growing)
  • Self-hosted, zero telemetry, MIT licensed

Panguard AI Use Cases

  • Protecting AI agents from prompt injection and malicious skills
  • Ensuring compliance with AI regulations and enterprise audit
  • Securing AI agents in development and production environments

Panguard AI Pricing & Free Credits

Panguard AI currently operates on a Free, Paid model.

Free Tier

Community

$0

Open source MIT license, 768 ATR rules, self-host, unlimited use

Paid Plans

Founding Pilot

$25K one-time

Prove agent security in bank/enterprise review, 90-day founder-led, self-serve

Enterprise

$150K+/yr

Living signed evidence, airgap, per-nation deployment, OEM options

Community

$0

Open source MIT license, 768 ATR rules, self-host, unlimited use

Founding Pilot

$25K one-time

Prove agent security in bank/enterprise review, 90-day founder-led, self-serve

Enterprise

$150K+/yr

Living signed evidence, airgap, per-nation deployment, OEM options

Panguard AI Pros & Cons

Pros

  • Open source with MIT license
  • Real-time detection and prevention
  • Community-driven threat rules
  • Zero telemetry and self-hosted
  • Audit-ready signed evidence

Cons

  • Enterprise features require paid tiers
  • Setup may require technical expertise
  • Rule updates depend on community contribution frequency

What is Panguard AI best for?

  • Developers building and deploying AI agents
  • Enterprises needing audit-ready AI security
  • Security teams adopting open-source agent protection

Panguard AI FAQ

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