Attack surface management has long been a visibility exercise: it tells organizations which assets are exposed, but not what to do next. Criminal IP's new AITEM offering tries to close that gap. Instead of stopping at discovery, AITEM applies AI to link the found exposures to investigation, risk prioritization, and response.
The platform represents a shift in how security tools think about attack surface data. Rather than treating visibility as the endpoint, AITEM treats it as the start of a workflow. That means security teams can move from knowing what is exposed to deciding which exposures matter most and how to handle them.
The idea is that simple exposure lists leave too much interpretation to already stretched teams. By adding AI-driven analysis and actions, AITEM aims to make attack surface management a more practical part of the broader security process.