Former Cisco Researchers Launch Tenet Security, Raise $6M to Secure AI Agents from Attacks

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Tenet Security emerged from stealth with $6 million in seed funding to address a critical gap in enterprise AI security. Founded by former Cisco AI Defense builders Barak Sternberg and Nevo Poran, the company uses patent-pending Agent-side Simulation technology to predict and stop malicious AI agent behavior before it reaches production systems. Early deployments have already blocked critical attacks and identified runaway AI agents burning tens of thousands of dollars.

Former Cisco AI Defense Builders Address Growing Enterprise Security Gap

Tenet Security has emerged from stealth with $6 million in seed funding led by The Westly Group, an early investor in SentinelOne, and MizMaa Ventures. Founded by veteran offensive security researchers Barak Sternberg and Nevo Poran, the company tackles a challenge that barely existed a year ago: how to secure autonomous AI agents that enterprises are increasingly granting access to critical systems, data, and workflows

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. Before launching Tenet Security, both founders helped build Cisco AI Defense and led early work on threats targeting autonomous AI systems. Prior to Cisco, the pair founded Wild Pointer, a cybersecurity company that served Fortune 500 customers and scaled to seven-figure annual revenue

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. Both Sternberg and Poran are speakers at major security conferences, including DEF CON and Black Hat.

Source: SiliconANGLE

Source: SiliconANGLE

Agent-side Simulation Technology Predicts Threats Before Execution

At the core of Tenet Security's approach is patent-pending Agent-side Simulation technology, which predicts and simulates an agent's likely next actions before they execute against production systems. If a path appears risky, Tenet can intervene before damage occurs while providing a trace explaining why the action was blocked

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. This represents a fundamental shift from traditional security tools that generate alerts after suspicious activity occurs. Most security tools can monitor users, endpoints, or prompts, but lack visibility into how AI agents behave once they begin taking actions on their own

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. The platform is designed to prevent attacks on enterprise AI agents, including unauthorized access, data exfiltration, agent manipulation, and a new threat the company calls Agentjacking.

Agentjacking Represents New Attack Vector Against AI Agents

The company's launch follows research from Tenet Threat Labs demonstrating Agentjacking, a new class of attack that manipulates AI agents into executing attacker-controlled actions. The attack works by hiding malicious instructions inside something an agent reads—perhaps an email, log entry, document, database record, or other data sources. When the agent processes it, the instruction takes over and redirects what the agent does next

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. In testing, the research team validated the technique across more than 100 enterprise environments and found thousands of organizations potentially exposed through publicly accessible attack paths. According to Tenet Security, the technique operated without triggering traditional security controls because the agents were acting within their authorized permissions

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. "We're increasingly seeing AI agents become part of the attack path itself," said Nevo Poran. "The only place left to catch these threats is at runtime, in the moment an agent decides to act"

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Early Deployments Reveal Scale of AI Security Challenge

Early deployments have demonstrated the operational challenges organizations face as AI agent usage expands rapidly. One $1 billion ARR legal-sector enterprise increased its use of AI agents from two deployments to more than twenty over a six-month period while using Tenet's platform. More than ten attempted attacks, including a critical XSS attack, were detected and blocked during that period

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. In another Fortune 1000 enterprise deployment, Tenet identified runaway AI agents generating tens of thousands of dollars in unnecessary token consumption over a single weekend before it could be scaled back

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. Tenet says organizations often have as many as five times more AI agents operating than their security teams realize, highlighting the visibility gap that exists in current enterprise systems

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Why Runtime Security Matters for Enterprise AI Adoption

"AI agents may be the biggest productivity unlock enterprises have seen in decades, which is why organizations are moving so quickly to deploy them," said Barak Sternberg, co-founder and CEO of Tenet Security. "But we're also entering a world where autonomous agents are interacting with systems, data, and other agents in ways most security tools were never designed to understand. That creates an entirely new security layer that requires a fundamentally different approach to protection"

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. As organizations move beyond chatbots and begin deploying agents capable of writing code, accessing databases, interacting with applications, and making decisions autonomously, security teams are struggling to monitor and control these new machine identities in real time. The seed funding will support product development, expansion of Tenet Threat Labs, and growth of the company's North American go-to-market operations. Tenet's advisers include David Schwed, former chief information security officer at Robinhood, and Rick Scott, former CISO at The Bank of New York Mellon

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. The company's goal is to help enterprises deploy autonomous agents at scale without introducing unmanaged security risk, giving security teams greater confidence to support AI adoption across the organization while maintaining runtime security and preventing malicious AI agent behavior before it impacts enterprise systems.

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