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Syn Ventures Leads $4.8M Seed in AI Security Startup CodeIntegrity
The San Francisco startup builds a runtime control layer that sits between unpredictable AI models and enterprise systems, enforcing hard limits on what autonomous agents can do.
The San Francisco startup builds a runtime control layer that sits between unpredictable AI models and enterprise systems, enforcing hard limits on what autonomous agents can do.
CodeIntegrity, a San Francisco AI security startup, has raised $4.8 million in seed funding to build controls that keep autonomous AI agents operating within fixed boundaries. Syn Ventures, a cybersecurity-focused venture firm, led the round, with existing backers Antler and Boost VC also participating.
The company is targeting a problem created by agentic AI itself. Autonomous agents act unpredictably as they move across tools, data and enterprise systems, which makes them hard to secure with conventional controls. CodeIntegrity’s product sits at runtime as a control layer between the AI models and the systems they touch. It filters and translates those interactions, enforcing deterministic limits so an agent stays inside defined, safe boundaries no matter how it behaves.
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Founded in 2024 by Steven Jung and Abi Raghuram, the company is positioning its technology as infrastructure for enterprises that want to deploy agents in production without giving up control over what those agents can do.
CodeIntegrity said it will use the funding for product development, enterprise deployments and expanding its runtime governance capabilities for agentic systems running in production.
The raise reflects a fast-growing concern in enterprise AI: as companies hand more autonomy to agents, the harder question is not what these systems can do, but how to constrain them reliably. Startups selling that guarantee are finding a receptive market, though whether deterministic runtime controls become standard infrastructure or one approach among many will depend on how enterprises actually deploy agents at scale.
Disclaimer: This article is based on reporting from GeekWire and The SaaS News; figures and company details are accurate as of the time of publication and may be subject to change.
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