Autonomous Security
Endpoint security platform for governing and securing AI agents and MCP servers.
Autonomous Security
Endpoint security platform for governing and securing AI agents and MCP servers.
Data verified May 2026
ADYour product here. Reach security decision-makers.Launch a campaignAutonomous Security Description
Agentic AI Security
MCP Security
Shadow AI
Prompt Injection
LLM Security
Runtime Security
Supply Chain Security
Secrets Management
AI Governance
Visibility
Autonomous Security is an endpoint security platform designed to govern and secure AI agents operating on developer endpoints. Previously known as MCPTotal, the platform addresses security risks introduced by AI coding agents (such as Cursor and Claude Code) that can execute tools, load plugins, invoke MCP servers, access credentials, and interact with internal systems and third-party APIs. The platform is organized into three integrated layers: Shadow AI & Agent Discovery: - Inventories all installed AI agents, skills, plugins, and MCP servers on endpoints - Identifies exposed configuration files and hardcoded secrets - Assesses and reports on risk posture across all agentic activity Runtime Enforcement: - Deploys across Windows, Mac, and Linux endpoints - Auto-blocks rogue MCP servers and malicious skills - Intercepts MCP traffic to prevent prompt injection attacks Secure MCP Cloud: - Runs MCP operations in isolated, sandboxed environments - Stores and manages sensitive tokens in a centralized vault - Provides a verified, pre-scanned MCP catalog to reduce supply chain risk Governance Layer: - Defines and enforces policies controlling agent actions, tools, MCP servers, and authentication methods - Automates approvals for prompts, command shells, and tools based on assessed security risk - Integrates with SSO/SCIM and SIEM for enterprise compliance The platform is specifically aimed at security teams seeking visibility and control over AI agent behavior at the endpoint level, addressing risks such as credential sprawl, approval fatigue, untrusted agent workloads, and new AI-specific attack surfaces.
Autonomous Security FAQ
Common questions about Autonomous Security including features, pricing, alternatives, and user reviews.
Autonomous Security is Endpoint security platform for governing and securing AI agents and MCP servers, developed by Autonomous Security. It is a AI Security solution designed to help security teams with Agentic AI Security, MCP Security, Shadow AI.
Autonomous Security offers the following core capabilities:
1.AI agent and MCP server discovery and inventory
2.Exposure analysis for hardcoded secrets and exposed configs
3.Runtime blocking of rogue MCP servers and malicious skills
4.MCP traffic interception to prevent prompt injection
5.Sandboxed MCP execution environments
6.Centralized token vault for credential management
7.Verified and pre-scanned MCP server catalog
8.Centralized policy enforcement for agent actions and tools
9.Automated approval workflows based on security risk scoring
10.Cross-platform deployment (Windows, Mac, Linux)
Autonomous Security integrates natively with SSO/SCIM, SIEM. Integration support lets security teams connect Autonomous Security to existing SIEM, ticketing, identity, and notification systems without custom development.
Autonomous Security is built for security teams handling Agentic AI Security, MCP Security, Shadow AI, Prompt Injection. It supports workflows including ai agent and mcp server discovery and inventory, exposure analysis for hardcoded secrets and exposed configs, runtime blocking of rogue mcp servers and malicious skills. Teams typically adopt Autonomous Security when they need to ai security capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/autonomous-security
Autonomous Security is a commercial AI Security solution. For detailed pricing information, visit https://a16y.ai/ or contact Autonomous Security directly.
Popular alternatives to Autonomous Security include:
1.Onyx Platform - AI control plane for enterprise AI agent security, governance, and observability. (Commercial)
2.Sonoma Security - MCP governance platform for securing and controlling enterprise AI agents. (Commercial)
3.Raven Runtime AI Agents - Runtime platform to discover, monitor, and control AI agents in production apps. (Commercial)
4.Manifold - Runtime security platform for monitoring AI agents on enterprise endpoints. (Commercial)
5.CodeIntegrity AARM Platform - Runtime control plane that mediates & governs AI agent actions before execution. (Commercial)
Compare all Autonomous Security alternatives at https://cybersectools.com/alternatives/autonomous-security
Autonomous Security is for security teams and organizations that need Agentic AI Security, MCP Security, Shadow AI, Prompt Injection, LLM Security. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other AI Security tools can be found at https://cybersectools.com/categories/ai-security
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