A Security emerged from stealth on June 8 with $37 million in funding from Lightspeed Venture Partners, Cyberstarts, and angel investors including Wiz CEO Assaf Rapaport, Cyera CEO Yotam Segev, and the partners at Cerca. The company is led by Ido Torati, previously Director of Enterprise Security at Sygnia, with co-founders Omer Gull and Yuval Itzchakov whose backgrounds span Check Point, Hunters, and Israel Defense Force Unit 8200. The product is a platform of offensive and defensive AI agents that continuously stress-test customer environments, identify cross-domain attack paths, validate that those paths are actually exploitable, and then drive remediation at the source as well as across compensating controls — with full audit trails on every action.
The pitch is a response to a shift the cybersecurity industry has been openly worried about all year. Adversaries are using reasoning models to chain weaknesses across cloud, identity, and application layers faster than human red teams can keep up — a published Nature Communications paper earlier this year showed reasoning models autonomously jailbreaking other LLMs at a 97 percent success rate. A Security's argument is that periodic pentests and abstract risk dashboards do not match that threat model. The defender needs an AI that thinks like the attacker AI, runs continuously, and produces concrete proof — closed attack path, validated patch — rather than another report of theoretical risk.
A Security joins a small but growing cohort of well-funded autonomous-security startups, including XBOW (whose AI hacker topped the HackerOne US bounty leaderboard last year) and Horizon3.ai. What distinguishes A is the explicit closed-loop model — discovery, validation, and remediation in one system — and the founders' deep enterprise security background. Reference customers already include organizations in finance, healthcare, critical infrastructure, and technology, sectors where the gap between a discovered vulnerability and a confirmed fix can directly determine whether an incident becomes a breach.
A note for learners: the security industry is one of the cleanest examples of how AI is reshaping a profession. Five years ago, 'penetration tester' meant a senior consultant running a careful, manual engagement once a year. Today, the work is splitting into two parts — the agent that does the routine chaining and validation, and the human who designs novel attack scenarios the agent cannot. If you are early in a security career, this is not bad news. It means the entry-level grind of running known checks is being absorbed, while the strategic work of finding the next unknown is more valuable than ever. Choose accordingly.