Does your programme see what attackers see?

Most security programmes are stronger on discovery than validation. The Exposure Maturity Model identifies exactly which dimension is holding your programme back.

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Datasheets

Factsheet: Open-Source Offensive AI

Open-source AI offensive tooling has moved from a niche research area to a practical attacker capability. Before GPT-4, only a small number of AI pentesting tools existed. In 2026, Hadrian had catalogued 70 tools across autonomous agents, vulnerability discovery, reverse engineering, recon, LLM red teaming, CTF agents, and guardrail-free cyber LLMs. The shift is not just volume; it is operational maturity. Tools now coordinate recon, scanning, exploitation, and reporting with minimal human input.

What you'll find in the factsheet:

  • Open-source AI attack tools catalogued by April 2026, with 90% appearing after GPT-4’s release
  • How quickly open-source AI tooling can translate into real-world exploitation campaigns
  • Six security priorities for adapting to attacker velocity

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Infographics

Infographic: Open-Source Offensive AI

Infographic: Open-Source Offensive AI