Tenet Security

AI Security and Governance Platform for Autonomous AI Agents

Cyber Security
Private
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Company Overview

Snapshot

Founded in May 2025 by Barak Sternberg and Nevo Poran, Tenet Security operates with 1–10 employees. The company has raised $6 million across one funding round from 4 investors, with MizMaa Ventures and The Westly Group leading the Seed round in June 2026.

Business overview

Tenet Security develops an AI security and governance platform specifically designed for enterprises that deploy autonomous AI agents. The platform's core technology enables organizations to monitor agent behavior, enforce policies, and maintain control over agentic workflows. By doing so, Tenet Security helps reduce operational, security, and compliance risks as AI systems become more autonomous, serving the Cyber Security sector.

Strategic signal

In June 2026, Tenet Security secured $6 million in Seed funding, a significant validation of its approach to addressing the emerging risks associated with autonomous AI agents. This investment highlights growing investor confidence in solutions that provide runtime protection for AI systems accessing sensitive data and workflows, signaling a critical focus on AI governance and security in the enterprise market.

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Company Intelligence Q&A

What is Tenet Security's primary focus?
Tenet Security focuses on developing an AI security and governance platform for enterprises deploying autonomous AI agents. The platform helps monitor agent behavior, enforce policies, and control agentic workflows to reduce operational, security, and compliance risks.
When was Tenet Security founded?
Tenet Security was founded in May 2025 by Barak Sternberg and Nevo Poran.
How much capital has Tenet Security raised?
Tenet Security has raised $6 million in total funding.
Which investors participated in Tenet Security's Seed funding round?
In June 2026, Tenet Security raised Seed funding from investors including.
What problem does Tenet Security's platform solve?
Tenet Security's platform addresses the challenges of managing autonomous AI agents by providing tools to monitor their behavior, enforce policies, and maintain control, thereby mitigating security and compliance risks in enterprise AI deployments.
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