Hush Security raises $30 million Series A to expand AI agent governance

Hush Security said it raised $30 million in Series A funding to expand its identity-based governance technology for enterprise AI agents and the infrastructure those agents use.

Akamai joins as strategic investor

In a company announcement distributed through PR Newswire, Hush Security said Akamai joined the round as a strategic investor alongside Battery Ventures and YL Ventures. Hush Security said the new financing brings its total funding to $41 million.

The company, which focuses on security for non-human identities, said the funding will support development of its platform for governing AI agents, service accounts, workload identities and other machine identities across enterprise environments.

Hush Security framed the investment around a growing enterprise problem: as companies deploy AI agents that can interact with internal systems, cloud infrastructure and business applications, those agents often require credentials, permissions and access paths similar to human users or software services. The company argues that this creates a governance challenge for security teams that need to understand what each agent can access and what risks those permissions introduce.

Focus on identity-based controls

According to Hush Security’s announcement, its platform is designed to discover and assess non-human identities, map their access, and help organizations reduce excessive privileges. The company said its technology applies to AI agents as well as the underlying infrastructure they depend on.

The funding announcement specifically describes an “AI agent governance gap,” referring to the difference between how quickly organizations are experimenting with or deploying AI agents and how mature their controls are for managing agent identities, permissions and behavior.

Hush Security’s positioning reflects a broader shift in enterprise security: identity management is no longer limited to employees and contractors. Cloud workloads, automation scripts, software services and now AI agents can all hold credentials or trigger actions across corporate systems. If those identities are over-permissioned or poorly tracked, they can increase the impact of mistakes, misuse or compromise.

Strategic context for Akamai

Akamai’s participation is notable because the company operates in cloud security, content delivery and edge computing. Hush Security said Akamai joined the Series A as a strategic investor, but the announcement did not disclose whether the investment includes a commercial partnership, product integration or customer agreement.

Battery Ventures and YL Ventures were also named by Hush Security as investors in the round. The company did not disclose valuation, revenue figures or customer counts in the announcement.

Why it matters

The announcement comes as enterprises evaluate AI agents for tasks such as software development, IT operations, customer support and workflow automation. Those deployments can require agents to access source code repositories, ticketing systems, databases, cloud consoles or collaboration tools. Security teams are increasingly expected to apply least-privilege access, monitoring and policy controls to these new identities.

Hush Security’s funding round suggests continued investor interest in tools that manage the security implications of AI adoption, particularly where AI systems connect to existing enterprise infrastructure. The company’s claims should be read in the context of a funding announcement: the available source material describes Hush Security’s product direction and investor participation, but does not provide independent performance benchmarks or third-party evaluations of the platform.

For buyers and security leaders, the practical question is how governance tools for AI agents fit with existing identity and access management, privileged access management, cloud security and workload identity systems. Hush Security’s announcement indicates that the company intends to compete in that emerging category by focusing on visibility, access mapping and privilege reduction for non-human identities.