Opti has launched its AI-native identity security platform alongside a $20 million seed round co-led by YL Ventures, Mayfield Fund, and Hetz Ventures, with participation from Squared Circle Ventures, LocalGlobe, Maple Capital, and angel investor Shlomo Kramer. The company positions its debut as a response to growing enterprise pressure to manage access, risk, and automation at scale. With this announcement, Opti enters a cybersecurity landscape where identity now determines who can access critical systems, applications, and internal AI agents across modern organizations.
Market need for AI-driven identity security
Identity and access management has become one of cybersecurity’s most persistent weaknesses, yet many enterprises still rely on manual, fragmented workflows. Research cited by the company suggests that only half of organizations believe their current IAM tools work effectively, signaling a widening performance and risk gap. Opti argues that the rapid growth of cloud systems and AI-driven operations has exposed legacy IAM approaches as too slow and too static to keep pace.
Opti's AI-native identity platform
Opti’s platform applies specialized large language models to identity workflows such as access provisioning, user access reviews, and risk remediation, interpreting context to recommend least privilege decisions. The system identifies misconfigurations, excessive access, and identity vulnerabilities while enabling teams to approve or override recommendations, maintaining human oversight. Opti also claims its platform will help enterprises govern fleets of internal AI agents, which require new layers of authorization and control.
Founders and experience
Opti was founded in 2024 by cybersecurity veterans Barak Perelman, Mille Gandelsman, and Ido Trivizki, who previously built Indegy into a leader in industrial cybersecurity before its acquisition by Tenable in 2019. Their experience working with global enterprises and critical infrastructure shaped their belief that identity has become the central pillar of modern security. Before building Opti, the founders interviewed more than 100 security leaders who repeatedly described overprivileged access, slow recertification, and low-context identity tickets as major operational burdens.
Team and product culture
The company operates through small squads that pair domain experts with machine learning researchers and engineers, aiming to ship features grounded in real-world workflows. Opti’s team shadows security analysts and system administrators and conducts internal “red team” reviews to stress-test identity flows and improve usability. This approach reflects a culture focused on pragmatic innovation rather than generic AI capabilities or trend-driven features.
Investor backing and roadmap
Opti plans to allocate most of its seed funding to research and development to expand its library of domain-specific models and strengthen the platform for enterprise-scale deployments. A portion of the capital will support go-to-market efforts as early design partners convert into paying customers, with a focus on finance, retail, healthcare, and technology sectors where identity risk and compliance demands are high. The company’s investor group brings cybersecurity, AI, and enterprise software expertise, giving Opti access to networks, potential buyers, and market insights as it works to become an operating system for identity programs.
Opti enters the market at a moment when enterprises are reassessing identity as both a security mandate and a productivity challenge. By applying specialized AI models to automate decisions and streamline workflows, the company aims to close long-standing gaps in how access is granted, reviewed, and revoked. The coming phase will determine whether its AI-native approach can meet the scale, speed, and scrutiny required by modern identity programs.