Opti
AI-native identity security platform that maps human, machine, and agentic identities into one graph to find and fix overprivileged access.
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Opti builds an AI-native identity and access management platform that uses domain-specific large language models to map humans, machine identities, services, and systems into a single identity graph. The platform detects identity vulnerabilities, misconfigurations, and overprivileged access in real time, generates least-privilege recommendations, and supports joiner-mover-leaver governance workflows, with an agentic AI layer that can execute access corrections under human oversight. It integrates with more than 250 identity providers, IGA tools, and business applications, including Okta.
Opti was founded by Barak Perelman (CEO), Mille Gandelsman (CPO), and Ido Trivizki (CTO), a team that previously built Indegy, an industrial control systems security company that Tenable acquired for roughly $100 million in 2019. That prior exit gives the founding team a credible track record of building and selling a security company, distinct from many first-time-founder identity startups. The company is headquartered in Tel Aviv, Israel, with a presence in New York.
The company raised $20 million in seed funding in November 2025, led by YL Ventures, Mayfield Fund, and Hetz Ventures, with participation from Squared Circle Ventures and serial cybersecurity investor Shlomo Kramer. Opti’s differentiator is extending identity governance beyond human and standard machine identities to cover the agentic AI identities that are proliferating as organizations adopt AI agents, a problem that older ITDR and IGA platforms were not built to address.
Innovation Matrix Assessment
Founding team has a proven prior exit (Indegy to Tenable, ~$100M) and shipped an identity graph product with over 250 integrations and reported enterprise usage at seed stage.
Unifying human, machine, and agentic identity data with least-privilege recommendations addresses identity sprawl, one of the top operational pain points CISOs report today.
$20M seed from top-tier investors (YL Ventures, Mayfield, Hetz) plus a notable serial-founder angel (Shlomo Kramer); claimed large-enterprise usage remains unnamed publicly.
Extending identity governance to agentic AI identities is a genuine response to a new problem, though graph-based identity modeling itself builds on approaches earlier ITDR vendors (such as the now Cisco-owned Oort) already explored.
No independent test results or named customer outcomes were found; the company is roughly a year past its seed round.
Non-human and agentic identity sprawl is one of the fastest-growing, most durable identity security problems as AI agents proliferate across enterprises.
Why CISOs Should Care
As AI agents multiply inside the enterprise, Opti gives CISOs a single place to see and govern every kind of identity, human, machine, and agentic, before overprivileged access becomes an incident.
What Makes It Different
It uses domain-specific LLMs to build a continuously updated identity graph spanning human, non-human, and agentic identities, rather than treating each identity type as a separate governance problem.
The Matrix Verdict
62/100 — INCREMENTAL INNOVATOR
Opti is an Incremental Innovator with a stronger-than-typical founder signal: a team with a real prior exit, credible investors, and a timely focus on agentic identity, but with efficacy and scale evidence that is still entirely vendor-reported at this early stage.
Editorial Note: Claims vs. Verified Findings
The funding round, investor list, and founder background (including the Indegy/Tenable exit) are corroborated across multiple independent outlets, though sources disagree on the exact founding year (2023 vs. 2024). Claims about enterprise usage and detection capability are vendor-stated and not independently verified.
Sources
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