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 deploying 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, particularly in Network & Infrastructure Security, and targeting Enterprise & Professional Services.
Strategic signal
In June 2026, Tenet Security secured $6 million in Seed funding, a significant validation of its focus on addressing the emerging risks associated with autonomous AI agents. This investment signals growing investor confidence in solutions that provide runtime protection for AI systems accessing sensitive data and workflows, highlighting the critical need for robust governance in the rapidly evolving AI landscape.
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, aiming to reduce operational, security, and compliance risks.
- When was Tenet Security founded?
- Tenet Security was founded in May 2025.
- Who are the founders of Tenet Security?
- Tenet Security was founded by Barak Sternberg and Nevo Poran.
- What was Tenet Security's most recent funding event?
- In June 2026, Tenet Security raised $6 million in a Seed funding round. MizMaa Ventures and The Westly Group led this round.
- What problem does Tenet Security's platform address?
- Tenet Security's platform addresses the challenges of monitoring agent behavior, enforcing policies, and maintaining control over agentic workflows to mitigate risks as AI systems become more autonomous.