If you run security at any reasonably complex organization, your validation stack probably looks something like this: a BAS tool in one corner.
A pentest engagement, or maybe an automated pentesting product, in another.
A vulnerability scanner feeding an attack surface management platform somewhere else.
Each tool gives you a slice of the picture.
None of them talks to each other in any
None of them talks to each other in any meaningful way.
Meanwhile, adversaries do not attack in silos.
A real intrusion might chain together an exposed identity, a cloud misconfiguration, a missed detection opportunity, and an unpatched vulnerability in a single operation.
Attackers understand that your environment is an interconnected system.
Unfortunately, most validation programs are still treating it as a set of disparate, disconnected parts.
And it's lasted for years because the market has treated every validation discipline as a separate category, with its own vendors, consoles, and its own separate, and very limited risk assessments.
As autonomous AI agents become capable of planning, executing, and reasoning across complex workflows, security validation must enter a new phase.