Armadin Raises $189.9M to Build AI-Driven Offensive Security Platform

Armadin has emerged from stealth with $189.9 million in combined Seed and Series A funding to develop a cybersecurity platform built around autonomous offensive testing. The company is led by Kevin Mandia and backed by investors including Accel, Google Ventures, Kleiner Perkins, Menlo Ventures, In-Q-Tel, 8VC, and Ballistic Ventures. The funding ranks among the largest early-stage investments in cybersecurity and signals growing interest in platforms designed to simulate modern attack behavior using AI.

The company’s platform is designed to model real-world attackers using autonomous agents that continuously probe enterprise environments. Instead of simply identifying vulnerabilities, the system attempts to replicate full attack paths to determine whether weaknesses can actually be exploited. The idea is to move beyond lists of findings and focus on validated risk that could realistically lead to a breach.

Armadin’s architecture centers on a coordinated group of AI agents that analyze systems, plan attack paths, and adapt their techniques as they encounter defenses. The agents are trained on offensive security tactics and red-team methods so they can test environments in ways that resemble advanced threat actors. The platform runs these simulations continuously, allowing organizations to identify exploitable risk across infrastructure, applications, and identities.

The approach reflects growing pressure on security teams to validate risk faster as attack automation increases. Platforms that combine autonomous testing with continuous monitoring may give organizations a clearer picture of how attackers could move through their environments and which weaknesses require immediate remediation.