/ Practitioner signals
Be the first to recommend
Reactions are private. No other member or vendor sees who reacted.
Ask about pricing, alternatives, or if Autonomous Security is right for you.
The Picari read
Autonomous Security appears to secure AI agents at runtime by checking prompts, tool calls, and outputs before unsafe actions execute. Its main value is policy enforcement around autonomous workflows, making it best for teams running LangChain, LangGraph, AutoGen, MCP, or hosted LLMs that need control over agent decisions and data access.
- Security teams at enterprise organizations seeking visibility, governance, and runtime containment for desktop-based autonomous AI agents and local Model Context Protocol (MCP) integrations.
- Discovery and continuous inventory of desktop AI agents and MCP servers
- Real-time interception and blocking of risky agent actions and malicious skills
- Centralizing API token management and preventing secret exposure in agent prompts
- Enforcing human-in-the-loop approval workflows for high-risk agent operations
Product catalogue
Autonomous Security pricing and integrations
For Autonomous Security integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
Unverified profile
This profile hasn't been verified by Autonomous Security yet. Information may be incomplete.
Are you from Autonomous Security? Verify this profileProfile last updated on 6 September 2026 by Picari.