Agentic AI is Shifting the Economics and Tactics of Cyber Attacks
Recent discussions among enterprise security leaders highlight a transition toward goal-oriented AI agents capable of planning and executing multistep attacks with minimal human intervention. Unlike traditional deterministic security tools, these systems improvise workarounds to bypass enterprise controls, shifting the attack vector from stolen credentials to automated vulnerability discovery. Meanwhile, internal shadow AI adoption is proliferating rapidly without proper identity or access governance.
Commentary
Security teams are facing a paradigm shift where attackers no longer rely solely on static credentials or pre-written scripts, but instead deploy autonomous models that adapt their tactics mid-compromise. To counter this, defenders must look beyond traditional event monitoring and begin tracking the reasoning trails and intent of automated systems within their networks. Organizations also need to urgently inventory internal AI applications to rein in unchecked shadow AI sprawl before it becomes an easy entry point.
The Quote to Remember
“The threat is not outside. It's more inside.”