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AI-Assisted Pentest Tools: What Works and What Is Hype
The tools that work let the model organise findings that real measurement produced. Ask any tool where its facts come from.
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Securing AI Agents and Their Tool Use
Agents turn a model’s weaknesses into actions. Secure them by assuming the model will be fooled and making that survivable.
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How to Red-Team a Large Language Model
Map the permissions and inputs first, then work through instruction bypass, indirect injection, data disclosure, tool abuse and excessive agency.
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Using Large Language Models for Reconnaissance
LLMs make recon faster by reading and synthesising public information, but they invent facts as readily as they report them. Keep the model out of the fact-finding.
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Prompt Injection: The Vulnerability That Defines LLM Security
A model cannot tell its instructions from the data it reads. The direct form is a nuisance; the indirect form, hidden in content it ingests, is the real…
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What AI Changes About Penetration Testing
AI changes penetration testing in two ways: a fast assistant that must always be checked, and a new class of target most organisations deploy faster than they secure.