Introducing Hadrian’s Nova for Continuous AI-Powered Offensive Security Testing

Introducing-Hadrian-s-Nova-for-Continuous-AI-Powered-Offensive-Security-Testing

Continuous, AI-Powered Offensive Security Testing Unveiled by Hadrian

Hadrian has launched Nova, a cutting-edge agentic penetration testing solution designed to deliver on-demand, AI-driven security testing without the operational disruptions typically associated with traditional human-led engagements.

Main Features of Nova

  • Deep Attack Path Exploration

    Simulates how attackers navigate through complex environments by chaining vulnerabilities and escalating access within real-world asset contexts.

  • Context-Rich Asset Analysis
  • Expert-Level Offensive Reasoning at Scale

    Replicates how seasoned hackers prioritize, pivot, and adapt during engagements, eliminating human capacity limitations.

  • Customer-Controlled Scoping and Repeatability

    Organizations can define what gets tested and continuously re-run deep assessments as environments evolve.

  • Transparent Execution and Validated Findings

    Provides full visibility into attack paths, exploitation steps, and impact, along with human-reviewed results for accuracy and safety.

  • Human and AI Collaboration

    Combines machine-scale testing with the expertise of elite hackers, enabling deeper validation, faster iteration, and more reliable results.

  • Compliance Support and Audit Readiness

    Offers transparent, repeatable testing and evidence that supports security and regulatory requirements.

According to Rogier Fischer, Hadrian’s CEO, “The ability to automate attacks at machine speed has turned the tables on security teams. Attackers can now exploit vulnerabilities quickly and efficiently, and it’s imperative for organizations to stay ahead of the curve.”

Nova enables organizations to rapidly identify and respond to emerging threats with enhanced speed, precision, and confidence, ultimately reducing time to resolution by up to 80% and eliminating 99.5% of false positives.


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