What is defensive AI?

Definition

Defensive AI can process large volumes of telemetry, identify unusual behavior, summarize evidence and recommend or execute bounded response steps. It can give defenders more speed when attacks generate more events than people can examine manually.

The system must be resilient to adversarial inputs and operational mistakes. Defensive automation should use least privilege, independent validation and human escalation because a false conclusion can block legitimate activity or conceal an actual compromise.

ELI5

Defensive AI uses AI to help protect authorized computer systems. It can examine security events, find unusual patterns, organize evidence and recommend or perform carefully limited responses.

For example, a defensive model can flag a sudden series of suspicious account logins and prepare the evidence for an analyst. It should not disable accounts without suitable checks because attackers can manipulate signals and false alarms can block legitimate work.

Acronyms and aliases

AI-enabled defense variant

Frequently asked questions

How does defensive AI help security teams?

It can correlate alerts, prioritize investigations, explain patterns and automate bounded containment or recovery actions.

What are the risks of defensive AI?

Attackers may manipulate its inputs, and false positives or over-broad actions can disrupt legitimate systems without careful controls.

Videos explaining defensive AI