Tenet Security Raises $6M Seed as AI Agent Security Becomes an Enterprise Priority

Security has a bad habit of arriving after the damage is done. A breach appears, alarms start ringing, consultants start circling, and organizations spend months reconstructing a crime scene that already happened. Then AI agents walked into the enterprise. Not chatbots. Not demos. Autonomous systems touching workflows, data, decisions, and actions. Suddenly the question wasn't whether AI could do the work. The question became whether anyone could see what those agents were actually doing once they were turned loose in production.

That question is fueling one of the more interesting funding stories in cybersecurity right now. Tenet Security has raised a $6M seed round led by The Westly Group and MizMaa Ventures, with participation from Tomer Schwartz and Lior Tal. The company was founded by Barak Sternberg (CEO) and Nevo Poran (CTO), who are focused on securing autonomous AI agents inside enterprise environments. Tenet Security develops runtime security software designed to monitor, control, and protect autonomous AI agents operating across enterprise systems and workflows.

Why This Matters

The timing matters. As organizations accelerate investment in AI agent security, the challenge is shifting from deployment to control. Everyone wants more automation, but few want autonomous systems interacting with sensitive workflows, customer data, and critical business processes without visibility into what happens after launch. Traditional cybersecurity platforms were built for human users and conventional software. Autonomous AI agents create a new attack surface that behaves differently, moves faster, and often operates beyond the visibility of legacy security tools.

The investors are making a category bet as much as a company bet. The Westly Group and MizMaa Ventures have both backed enterprise technology businesses, and their investment reflects growing conviction that runtime protection will become a foundational layer of the broader enterprise cybersecurity stack. As companies deploy larger fleets of autonomous agents, securing those agents becomes less of a future problem and more of a current operational requirement.

The Team Behind the Build

The backgrounds behind Tenet Security's leadership help explain investor interest. Barak Sternberg is an 8200 veteran, Israel Defense Prize recipient, BlackHat and DEFCON speaker, and founder of Wild Pointer. Nevo Poran previously served as Lead of GenAI Security Research at Cisco and also co-founded Wild Pointer. Their experience combines advanced cybersecurity research with enterprise security execution, placing them at the intersection of AI adoption and cyber defense.

Experience matters in cybersecurity because attackers rarely announce where they plan to strike next. Teams that spend years understanding how systems fail often develop a sharper understanding of how to protect them. That perspective sits at the center of Tenet Security's approach to securing autonomous systems operating inside enterprise environments.

Market Context

The numbers tell part of the story. Tenet Security highlights a customer that scaled from 2 AI agents to 20 in 6 months while serving 24M users. Security confidence enabled operational confidence. Organizations move faster when they understand risks, have visibility into activity, and can intervene before problems become incidents. That lesson extends beyond cybersecurity and into every boardroom evaluating how aggressively to deploy AI.

At the center of Tenet Security's platform is a focus on runtime security, a category designed to monitor and protect systems while they are actively operating. Rather than evaluating risk only before deployment, runtime security provides visibility into what AI agents are doing in real-world environments and enables intervention before harmful actions occur. As AI agents gain access to enterprise systems, workflows, and decision-making processes, runtime protection becomes increasingly important.

The Bigger Industry Shift

The broader market context is difficult to ignore. Every major technology shift creates new infrastructure requirements. Cloud computing created cloud security. Mobile computing created mobile security. Autonomous AI agents are now creating an entirely new security layer. Across the AI infrastructure ecosystem, investors, operators, and security teams are increasingly focused on governance, observability, and runtime control for agentic systems.

A new cybersecurity category is beginning to emerge around protecting autonomous software before it becomes tomorrow's headline risk. Tenet Security is betting that runtime visibility, runtime control, and predictive defense become essential as autonomous agents move from experimentation to critical business operations. The $6M seed round signals growing conviction that agent security will become a foundational part of the enterprise technology stack as organizations trust AI with increasingly important work.

For sophisticated operators, the funding announcement is less about the size of the round and more about the direction of the market. The conversation is no longer whether enterprises will deploy autonomous AI agents. That decision is already being made. The question now is who will secure them once they start making decisions, accessing systems, and carrying real operational responsibility.