
Secure AI agents with kernel-native runtime protection designed to detect and block threats that traditional endpoint security tools often miss. Operating at the operating system kernel level, the platform provides deep visibility and enforcement for AI-powered workflows without requiring changes to existing agents.
Protect agents from modern attack vectors such as prompt injection, credential theft, unauthorized actions, and multi-stage attack chains while maintaining visibility into how agents interact with systems.
##3# Universal Agent Compatibility
Works across a wide range of AI systems, including:
No SDK integration or agent modification required.
Leverages kernel-native monitoring and enforcement mechanisms to observe system activity at a foundational level, enabling protection beyond application-layer controls.
Monitor agent activity across:
Gain a complete view of what agents are doing in production environments.
Track the relationship between inputs, decisions, and actions.
The platform correlates:
helping security teams understand how incidents unfold.
Identify situations where an agent's actions deviate from its apparent objective or expected behavior, helping surface potentially risky or compromised workflows.
Monitor all deployed agents from a centralized interface with organization-wide visibility into activity, alerts, and security posture.
As AI agents gain access to files, systems, credentials, and operational workflows, traditional security tools may lack the context needed to understand agent behavior. This platform provides runtime protection specifically designed for AI-driven environments, helping organizations detect, investigate, and respond to threats targeting autonomous systems.
Ideal for organizations deploying AI agents in engineering, operations, customer support, research, and enterprise automation workflows where visibility and control are critical.
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