A16Y
Autonomous provides an endpoint-first security platform that discovers, monitors, and governs AI agents running on enterprise desktops and in cloud development containers. The platform maps all AI assets, secures MCP/API connections through a gateway that grants agents access to actions rather than credentials, and enforces runtime policies to block risky behavior. It covers over 60 popular AI agents, including coding assistants and background workers, with real-time protection against credential hunting, prompt injection, and off-script actions.
- Cybersecurity
- Artificial Intelligence
- Software Only
- AI Agents
- Enterprise Software
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Traditional endpoint security tools cannot see or govern AI agent behavior, creating blind spots as employees deploy unvetted agentic capabilities like MCPs and skills. AI agents can execute unauthorized or harmful actions autonomously, and a single compromised MCP server or plugin can become a backdoor into the network. The combination of private data access, exposure to untrusted content, and external communication—known as the "lethal trifecta"—enables prompt injection or off-script behavior to escalate into full enterprise breaches.
Solution
Autonomous provides a security platform that restores control over AI agent execution with a focus on the endpoint. The platform automatically maps all AI assets, uncovers hidden risks, and enables security teams to instantly find threats, remediate vulnerabilities, and secure data access. It uses a pluggable security engine that connects wherever AI runs, partially via a secure MCP/API gateway that gives agents access to actions rather than credentials, and partially via runtime protection that monitors and blocks activity inside the agent environment. The platform enforces security consistently and integrates outcomes into the existing security stack. The solution is designed to address the "lethal trifecta" of private data access, exposure to untrusted content, and external communication that makes agents dangerous, especially when running unattended. Autonomous analyzes agent telemetry, such as the 100k+ real-life agentic-chat sessions mentioned in its research, to detect improvised actions and credential-hunting behaviors that users never requested.
Target Audience
Primary customers are enterprise security teams and engineering organizations that deploy AI agents on desktops or in cloud development containers and need to secure and govern agent behavior, especially unattended autonomous agents.
Features
- Automatic discovery and mapping of all AI assets and shadow AI across endpoints
- Security coverage for over 60 popular AI agents including coding agents and background workers
- Secure MCP Cloud gateway that keeps production credentials behind the gateway and controls which operations the agent can request
- Runtime Protection that monitors and blocks activity inside the agent environment, including file reads, shell commands, and local tool invocations
- Sensitive session state tracking that restricts subsequent egress to approved destinations after sensitive data access
- Pluggable security engine designed to evolve with the AI ecosystem and integrate with existing security infrastructure
- Agentic workflow interception providing a control point over what the agent is trying to do inside its own execution environment
- Endpoint-first architecture that can see prompts, intercept tool calls, vault secrets, and enforce policy directly on the machine where agents run