Why Defenders Should Build AI Agents Before Adversaries Scale Local Models

Summary

The article argues that defenders should build and test AI agents now, before cheaper local models make autonomous attacks easier to scale. It highlights exposure management, attack simulation, and security operations as promising uses, with human oversight for high-con

Key points

• The author says widespread autonomous attacks have not yet arrived, but expects local open-source models to become more capable and run on less expensive hardware.
• Quantization can reduce the hardware needed to run models, potentially lowering the barrier for opportunistic attackers.
• Organizations are urged to develop and test defensive agents in non-production settings and establish oversight before using them in production.
• Suggested uses include prioritizing known exploited vulnerabilities alongside asset and service inventories, and coordinating breach-and-attack simulations.
• In security operations, agents could help triage alerts and investigations; the article recommends matching agent autonomy to the consequences of an action.
• The author advocates keeping human judgment in the loop for consequential actions such as revoking production credentials.