How its done
Our Agent Runtime Security & Behavioral Control provides the deep visibility and granular enforcement needed to ensure they act safely, ethically, and within defined boundaries, consistently, whether they run
See Everything, Control Precisely: Unprecedented Insight into Agent Behavior
Mutex AI offers non-intrusive, kernel-level monitoring of all agent activities: process execution, tool usage, network communications (including MCP/A2A & HTTP/S), file system interactions, and system calls.
Gain real-time alerts on suspicious or policy-violating behavior, with the ability to automatically block malicious actions before they cause harm.
Understand the full context of agent operations for effective threat hunting and incident response.
Define Their Boundaries: Granular, Identity-Aware Policies
Create and manage declarative Agent Security Profiles (ASPs) that define precisely what each agent (or class of agents) is authorized to do.
Specify allowed tools, executables, network destinations, API endpoints (MCP/A2A), file paths, and resource consumption limits – all tied to the agent's verified x.509 identity.
Dynamically update policies as your AI workloads evolve, ensuring continuous alignment with your security and governance requirements.
Key Benefits for Enterprises
The Mutex AI platform is engineered from the ground up to address the unique security challenges posed by AI agents in the enterprise
Enforce Least Privilege
Minimize agent capabilities to only what is necessary, reducing the potential attack surface.
Customize Security for Each Agent
Tailor policies to specific agent roles and risk profiles, ensuring appropriate security controls.
Automate Policy Enforcement
Reduce manual oversight and ensure consistent application of security rules across your agent fleet.
How It Differentiates
Our core innovation. Unlike solutions focused on LLM inputs/outputs or high-level posture, we provide deep, actionable insights into the actual runtime behavior of agents.
Deep Visibility Without Application Changes
Out of the box, our solution provides deep visibility into agent behavior without requiring changes to your applications or infrastructure.
Flexible and Granular Policy Model
Offers a highly flexible and granular policy model specifically designed for AI agent behaviors, enabling true Zero Trust enforcement.
Identity-Based Enforcement
Policies are tied to verified agent identities, ensuring that security controls are applied consistently and appropriately.
Cross-Platform Consistency
Delivers consistent runtime security across all environments, from public clouds to on-premises infrastructure and various Linux distributions.