# Tenet Security Raises $6 Million Seed Funding > Source: > Published: 2026-06-18 14:24:15.079361+00:00 # Tenet Security Raises $6 Million Seed Funding Tenet Security emerged from stealth with $6 million in seed funding to address runtime security for autonomous AI agents. The round was led by The Westly Group - an early backer of SentinelOne - with MizMaa Ventures participating. Founders Barak Sternberg (CEO) and Nevo Poran (CTO) previously built Cisco's AI Defense research team; both are Unit 8200 alumni and prior to Tenet ran Wild Pointer, a cybersecurity firm that reached seven-figure ARR with Fortune 500 customers. Tenet's core technology, Agent-side Simulation, models an agent's likely next actions before they execute against production systems and can block harmful paths pre-emptively - addressing "agentjacking," where adversaries redirect agent behavior via poisoned inputs. Funding targets product development, Tenet Threat Labs expansion, and North American go-to-market growth. ### What happened Tenet Security, founded by Barak Sternberg (CEO) and Nevo Poran (CTO), emerged from stealth on June 17, 2026, with $6 million in seed funding to address runtime security for autonomous AI agents (BusinessWire; SecurityWeek; SiliconANGLE). The round was led by The Westly Group, an early backer of SentinelOne, with MizMaa Ventures participating (BusinessWire). Sternberg and Poran previously built Cisco's AI Defense research team, are Unit 8200 alumni, and prior to Tenet ran Wild Pointer, a cybersecurity company with seven-figure ARR and Fortune 500 customers; both have spoken at DEF CON and Black Hat (SiliconANGLE). Advisers include David Schwed, former CISO at Robinhood, and Rick Scott, former CISO at BNY Mellon (SiliconANGLE). ### Technical details Tenet's core technology is a patent-pending capability called Agent-side Simulation, which models an agent's probable next actions before they execute against production systems (BusinessWire; SecurityWeek). A lightweight runtime sensor simultaneously observes operating system behavior, network and API calls, and the agent's LLM reasoning (SecurityWeek). If the sensor flags a suspicious trajectory, simulation predicts the next move; if harmful, execution is blocked and a human-readable trace explains the intervention (SecurityWeek; SiliconANGLE). Tenet defines a class of attack called "agentjacking" - malicious content embedded in agent inputs (emails, database records, log entries) that covertly redirects the agent's behavior while staying within its authorized permissions (SecurityWeek; SiliconANGLE). Tenet Threat Labs tested this technique across more than 100 enterprise environments and found thousands of organizations potentially exposed via publicly accessible attack paths, according to the company (SecurityWeek). ### Context Enterprises deploying autonomous agents with access to code repositories, data stores, and business workflows face a gap: traditional security tools raise alarms after events, not before (BusinessWire; SecurityWeek). Tenet claims organizations may be running up to five times more AI agents than their security teams realize (SecurityWeek; SiliconANGLE). Early deployment figures - vendor-reported: one $1B ARR legal-sector enterprise grew from two to 20+ agent deployments over six months with more than 10 attacks blocked, including a critical XSS attempt; a Fortune 1000 deployment had a runaway agent generating tens of thousands of dollars in unnecessary token consumption over a single weekend before it was caught (SecurityWeek; SiliconANGLE). Seed funding targets product development, Tenet Threat Labs expansion, and North American go-to-market growth (FinTech.Global). ### What to watch - •Whether Tenet's simulation approach scales across heterogeneous agent frameworks and high-volume fleets without unacceptable false positive rates. - •Independent third-party validation of agentjacking attack-path claims and blocking efficacy, beyond vendor-reported deployment figures. - •Adoption signals: SOC integration patterns, incident response workflows, and practical utility of trace-based explanations for security analysts. ## Scoring Rationale A well-sourced launch from credible founders (ex-Cisco AI Defense, Unit 8200, Wild Pointer) targeting a real and growing gap in enterprise AI agent security. $6M seed is small but the Agent-side Simulation approach is technically specific. Scored as Solid-to-Notable: relevant to practitioners deploying agents, but too early-stage and vendor-reported to rank above mid-tier funding events. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)