February 2026
Intermediate to advanced
412 pages
10h 11m
English
Security teams today are under pressure to move faster than ever – attack surfaces are expanding, vulnerabilities are published daily, and manual workflows can't keep up. In the middle of this shift, AI frameworks have emerged as powerful tools that promise to bring scale, speed, and a new level of intelligence to how we approach automation. But let's be clear: not every AI tool was designed with cybersecurity in mind, and not all of them are practical for offensive workflows.
When I first started exploring these frameworks, I wasn't looking for the flashiest interface or the deepest machine learning (ML) stack. I was looking for tools that could help me solve real problems, such as automating reconnaissance ...
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