The proliferation of AI agents within enterprise environments presents a new frontier for cybersecurity, one that traditional tools are ill-equipped to handle. Straiker, founded by cybersecurity veterans Ankur Shah and Sreenath Kurupati, is stepping into this gap with a platform designed specifically to identify, test, and monitor AI agents, ensuring their secure operation. This $64 million Series A funding round, led by Marathon Management Partners, highlights the urgent market demand for such specialized solutions.

The company's platform tackles three core challenges: discovering all AI agents across an enterprise, subjecting them to adversarial testing before deployment, and continuously monitoring their real-time behavior to preempt threats. A key differentiator is its shared intelligence layer, which uses insights from live operations to refine pre-deployment testing, creating a robust, adaptive security posture. This approach is crucial as IDC projects the number of AI agents in the workforce to exceed a billion by 2029.

Since its launch in 2025, Straiker has demonstrated rapid traction, with its run-rate revenue growing more than 15-fold in less than a year. Its client base already includes frontier AI labs and Fortune 500 companies, underscoring the immediate relevance and effectiveness of its technology. The investment will fuel further product development, expand its STAR Labs research team, and support international expansion, positioning Straiker to be a leader in this nascent but vital security domain.

This funding round signals a broader recognition that AI adoption isn't just about capabilities, but also about control and risk management. As AI agents gain more autonomy and access to sensitive data, securing their interactions and preventing unintended or malicious actions becomes paramount. Straiker's success indicates a maturing market for AI infrastructure, where security is no longer an afterthought but a foundational requirement for deployment.