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Hadrian raises $40 million to build AI-powered offensive security platform
Hadrian raised $40M to automate offensive security, reaching $65M total capital. The startup claims its AI agents deliver 80% faster remediation and a 5x ROI over manual penetration testing.

Hadrian raised $40 million in a funding round co-led by Forgepoint Capital International and SmartFin, bringing its total capital to $65 million. The investment targets a growing pressure point for security teams inside insurers, legal firms, and research labs: AI-powered attacks are arriving faster than human analysts can triage the alerts.
The Amsterdam-based startup builds an agentic platform that automates offensive security. Its AI agents map external attack surfaces, simulate hacker paths, and prioritize exploitable risks. Hadrian claims the approach delivers 80% faster remediation and a 5x return on investment compared to manual penetration testing.
Two engines under one roof
Hadrian operates two core products. Atlas continuously maps an organization's external digital footprint, identifying exposed assets and misconfigurations as they emerge. Nova provides on-demand penetration testing that shares context with Atlas, so a test run on Tuesday builds on what the continuous scanner learned on Monday.
Security teams set objectives. AI agents execute the tasks. The platform does not replace human judgment but shifts analysts from hunting through noise to acting on verified findings. Clients include McKesson, NBC Universal, and Total Energies.
Responding to alert fatigue
Rogier Fischer, who co-founded the company alongside Olivier Beg and Maurice Clin, described the problem in blunt terms. "Security teams are drowning in vulnerability alerts while attackers are using AI to move faster than ever," he said. The flood of low-fidelity warnings has become its own risk vector - teams waste cycles on issues that pose no real threat while genuine exposures go unaddressed.
The new funds will accelerate expansion into EMEA and the US. Hadrian also plans to hire across engineering and research roles.
Why this matters for insurance, legal, and research professionals
Insurers underwriting cyber policies, law firms managing breach response, and research institutions holding sensitive data share a common problem: their attack surfaces change daily. Continuous automated testing lets these organizations prove security posture to regulators and counterparties, not just assert it. For legal and compliance teams, that means audit-ready evidence of what was tested and when. For insurers, it sharpens risk assessment. For research labs, it reduces the window between a misconfiguration and its discovery by an adversary.