Runtime security layer that stops risky AI actions before they execute
Research-backed education and tools for securing autonomous AI agents
Stage
Not given
Startup
Founded
Not given
2025
Based in
Not given
US
Pricing model
Freemium
Paid
Pricing
Free plan: Local Guard runtime with real-time approval prompts and local audit log. Solo $4.99/mo: adds 2 cloud-connected devices and 30-day cloud retention. Pro $15/mo: adds 5 cloud-connected devices, 180-day retention, and policy versioning. Team $30/seat/mo: up to 25 cloud-connected devices, 365-
Not given
Key features
Surface-specific pre-action interception
Policy routing with allow, observe, ask, and block outcomes
Local review and evidence workflows
MCP, skill, plugin, and package inspection
Layered local and team policy
Open source runtime under Apache-2.0
Offline local protection without cloud connectivity
Continuous GitHub leaked-secret monitoring
Decision audit trail and export
Support for multiple AI coding agents
AgentGuard360 dashboard and Agent Proxy Tool Interface
Supply chain protection blocking 11,000+ known malicious pip and npm packages
14-phase device hardening scans with predictive risk analytics
Machine-learning-aided runtime scanning of agent content
Jailbreak detection and prompt injection prevention
Privacy-first architecture keeps data on device by default
500+ model pricing with budget tracking
Protection SDK with single function call content scanning
Learning Center with guides, how-tos, and CVE analysis
Original research on agentic AI and LLM cost optimization
What makes it different
Open-source core runtime runs locally without cloud requirement
Protects against secrets, destructive commands, prompt injection, and supply chain attacks
No source code or secrets uploaded; decisions stored as redacted summaries
No PhD in security required to protect AI agents
Free resources and research with optional paid tools
AI Security Guard