The easiest mistake security teams can make about AI-driven attacks is to imagine a completely new species of adversary.
That is not what most organizations are facing.
The objectives remain familiar: steal credentials, gain access, persist, move laterally, collect data, commit fraud, extort the victim, or conduct espionage. What AI changes is the economics of the attack. It reduces the time, expertise, and attention required to move from one step to the next.
That distinction matters because it tells defenders where to act.
Google Threat Intelligence Group reported this week that it has observed adversaries moving beyond basic prompting into agentic workflows and AI-enabled automation. In one Q2 2026 case, a threat actor used an AI coding chatbot and agent instructions to help plan, build, and execute a mass credential-harvesting campaign in less than six hours. The framework automated scanning, troubleshooting, and IP rotation with limited human involvement. (Google Threat Intelligence Group, September 8, 2026)
That does not mean every attacker has become an autonomous machine. It means the constraints that used to slow attackers down are weakening.
Security teams need to understand three things.
