Tenet provides a security platform that protects autonomous AI agents from remote hijacking and misuse. Its patented Agent‑Side Simulation predicts agents’ next actions across endpoints and cloud environments, while the AI Detection & Response (AIDR) engine detects and contains malicious behavior, data exfiltration, and intent drift in real time.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying autonomous AI agents—such as coding assistants, cloud services, and customer‑facing bots—face a high risk of remote hijacking, data exfiltration, and unintended behavior (intent drift). These threats are difficult to detect because agents operate across endpoint and cloud environments with privileged access and often lack runtime visibility.
Solution
Tenet delivers a runtime security platform that protects autonomous AI agents from manipulation and misuse. Its patent‑pending agent‑side simulation forecasts an agent’s next actions and blocks malicious moves before they execute, while the AI Detection & Response (AIDR) engine monitors for external attacks and agentic abuse in real time. The solution integrates via lightweight adapters that leverage existing EDR/MDM tools for endpoint agents and read‑only logs or minimal gateway plugins for cloud agents, providing zero‑friction discovery of all agents—including shadow AI. Security teams gain full forensic visibility into agent sessions, user context, and skill interactions, and can enforce real‑time blocking policies through a unified dashboard with SSO access. By securing the agentic layer across both endpoint and cloud, Tenet enables organizations to scale AI initiatives safely.
Target Audience
Primary customers are enterprise security and IT teams that manage autonomous AI agents across development, cloud, and customer‑facing applications, particularly in large organizations with extensive AI deployments.
Features
- Patent‑pending agent‑side simulation that predicts and pre‑emptively blocks unsafe agent actions across endpoint and cloud workloads
- AI Detection & Response engine that detects external attacks, intent drift, and agent‑to‑agent threats in real time
- Zero‑friction discovery adapters that automatically identify all autonomous agents, including shadow AI, using existing EDR/MDM infrastructure or lightweight gateway plugins
- Real‑time active defense with sub‑30 ms response latency, providing instant session termination for malicious activity
- Comprehensive forensic dashboard with SSO, showing granular user, agent, and environment details for each security event
- SOC 2‑compliant data handling: encrypted in‑transit and at rest, RAM‑only processing, and automatic redaction of sensitive information
- Protocol‑agnostic integration library that supports coding assistants (e.g., Cursor), cloud agents (e.g., AWS Bedrock), support bots, and custom AI tools