Novee Security
Novee runs an AI-powered offensive security platform that pairs an AI "hacker" with an AI "defender" in one continuous, automated penetration-testing loop.
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Novee builds an AI-driven offensive security platform for automated penetration testing and ongoing security validation, using AI models to emulate real attacker behavior against applications, networks, and cloud services while simultaneously modeling defensive response — aiming to replace periodic, manual penetration tests with continuous, automated validation.
Founded in 2025 by Ido Geffen, Gon Chalamish, and Omer Ninburg — offensive security leaders with backgrounds defending national-level critical infrastructure including Israel’s Iron Dome — and headquartered in Tel Aviv-Yafo, Israel with a New York office, Novee raised $51.5 million within four months of inception from YL Ventures, Canaan Partners, and Zeev Ventures, an unusually large and fast seed raise. The company won Best Autonomous Penetration Testing Platform at The Hacker News Cybersecurity Stars Awards 2026.
Novee’s differentiator is running offense and defense as one continuous AI loop rather than a single automated scanner, aiming to surface exploitable weaknesses the way a skilled human red team would, but continuously rather than on an annual or quarterly cadence.
Innovation Matrix Assessment
A genuinely novel dual AI-hacker/AI-defender continuous pentesting loop, built by a team with elite national-level offensive security experience.
Could meaningfully reduce reliance on scarce, expensive manual pentesters by providing continuous rather than point-in-time validation.
An unusually large $51.5M seed raised within four months signals exceptional investor confidence, though the company is pre-revenue and very early. Recognized in Cyber Defense Media Group's 2026 Global InfoSec Awards (2 awards), independently juried industry validation of market traction.
Continuous, automated offense-and-defense validation is a meaningful shift from the industry-standard periodic manual pentest model, not just another vulnerability scanner.
Too new for independent, real-world efficacy evidence beyond a single industry award; claims are unproven at scale.
Automated, continuous adversarial testing is likely to become more important as attack surfaces and AI-driven threats grow faster than human red teams can test.
Why CISOs Should Care
Offers continuous, automated adversarial testing in place of scarce and expensive annual manual penetration tests, surfacing exploitable weaknesses on an ongoing basis.
What Makes It Different
Runs a continuous AI-vs-AI attacker/defender loop rather than a static, scheduled vulnerability scan or a single point-in-time manual test.
The Matrix Verdict
70/100 — MEANINGFUL INNOVATOR
A technically ambitious, exceptionally well-funded early-stage entrant; genuinely disruptive concept still awaiting independent, real-world proof.
Editorial Note: Claims vs. Verified Findings
Funding scale and product claims come from company and investor announcements; the platform is too new for independent third-party validation.
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