Hush Security says the AI security problem has shifted from protecting models to governing identities as autonomous agents spread

Hush Security, an Israeli cybersecurity startup, has raised $30 million in Series A funding and argues that enterprise AI security has shifted away from protecting machine learning models toward governing autonomous agent identities.

The company emerged from stealth less than a year ago focused on non-human identity security. Battery Ventures and YL Ventures led the round, with content delivery network operator Akamai Technologies joining as a strategic investor.

Hush Security's thesis centers on a real problem. As organizations deploy autonomous AI agents to handle tasks like customer support, data analysis, and system automation, these agents need credentials, permissions, and access controls. Unlike human employees whose identities remain relatively stable, AI agents proliferate rapidly. A single organization might spin up hundreds or thousands of instances. Each agent interacts with APIs, databases, and internal systems. Each one represents a potential security vector.

The startup argues the industry focus on model safety and alignment misses the emerging risk. When an AI agent gets compromised or behaves unexpectedly, it can access company data, change configurations, or interact with external systems using legitimate credentials. Traditional identity and access management tools weren't built for this scale or complexity.

Hush's platform manages what it calls "non-human identity governance." The company provides tools to manage agent credentials, monitor their behavior, enforce least-privilege access, and audit their actions. The approach treats AI agents as distinct entities requiring their own security architecture rather than treating them as extensions of human user accounts.

The $30 million funding validates investor confidence in this direction. Akamai's participation suggests established infrastructure companies see governance of autonomous agents as a critical gap. As enterprises move from chatbots and assistants to agents handling financial transactions, code deployments, and sensitive operations, the stakes rise.

The security industry typically responds to emerging risks after they materialize at scale. Hush is betting organizations will act