Il vostro programma vede ciò che vedono gli attaccanti?

La maggior parte dei programmi di sicurezza è più avanzata nel discovery che nella validation. L'Exposure Maturity Model identifica esattamente quale dimensione frena il vostro programma.

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NOVA The AI that hacks you should be on your side

Security teams are increasingly shifting from periodic testing models toward continuous offensive validation that mirrors real attacker behavior and adapts alongside infrastructure changes. This shift is redefining operational expectations for penetration testing. Long procurement cycles, static scopes, and delayed reporting introduce significant blind spots between assessments, while manual workflows slow remediation and increase validation overhead.

Security teams increasingly require repeatable testing that can validate exposures before audits, after releases, or during major infrastructure changes without weeks of coordination or dependency on external scheduling windows. The focus is moving from generating findings to validating exploitability, prioritizing operationally relevant risks, and continuously testing how attackers would realistically chain exposures inside dynamic environments.

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What you'll find in the NOVA datasheet:

  • Overview of how Hadrian Nova performs on-demand agentic pentesting against external attack surfaces.
  • Comparison table covering scheduling, scoping, turnaround time, coverage, validation, and consistency between manual pentesting and Nova.
  • Step-by-step walkthrough of Nova’s offensive testing workflow, from scope definition to validated report delivery.

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NOVA: Agentic Pentesting

NOVA: Agentic Pentesting

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IA agentica per la gestione dell'esposizione esterna

IA agentica per la gestione dell'esposizione esterna

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Evolvere la tua postura di cybersecurity nel settore manifatturiero

Evolvere la tua postura di cybersecurity nel settore manifatturiero

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