
Runtime security platform for AI agents, blocking agentic threats before execution.

Runtime security platform for AI agents, blocking agentic threats before execution.
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Tenet Security is a cybersecurity platform focused on securing AI agents and agentic systems at runtime. The platform is designed to address security risks specific to the "agentic layer" — environments where autonomous AI agents, coding assistants, cloud agents, and customer-facing agents operate. The platform operates through a lightweight sensor called the Guardian Agent, which monitors agent behavior in real-time by correlating agent-level actions with operating-system activity. It is structured around five core capabilities: - Discover: Automatically maps AI agents, MCP (Model Context Protocol) integrations, and tool connections across an environment using traffic metadata, delivering a risk assessment within hours. - Detect & Investigate: Reconstructs complete agent sessions including identity, tool calls, MCP/skill usage, and intent to detect threats, misbehaviors, and "Agentjacking" in real-time. - Protect: Blocks destructive actions before execution, including data exfiltration, agentic phishing, and agent-to-agent attacks. Aligned with OWASP Top-10 Agentic Risks and AARM frameworks. - Manage: Provides continuous risk monitoring for AI agents across developer endpoints, codebases, and production cloud infrastructure. - Validate: Automatically red-teams agents in CI/CD pipelines against OWASP Top-10 for Agents and MITRE ATLAS, using findings from an internal Attack Lab and global Honeypot Network. A key feature is Agent-Side Simulation, which runs predictive models within the agent runtime to simulate potential outcomes of actions before they execute, enabling pre-emptive blocking without latency penalties. The platform targets security teams managing AI agent deployments, including those with Shadow AI exposure.