How AI is reshaping the economics of cyberattacks and defense
The bottleneck on sophisticated cyber operations that target nation states is breaking. Conducting a large-scale cyber attack used to mean scaling expert talent.
When the cost of adding a capable attacker approaches the cost of compute, the economics of offense fundamentally change.
This is already operational: Dream's threat research recovered an autonomous multi-agent framework that ran intrusion campaigns against government entities in Asia, executing twelve attack waves in four days with eight parallel agents, compromising 85 government accounts, and using a closed learning loop to adapt after failure.
VP Product and Cyber Research, DreamGroup.
The advantage is shifting from the number of experts to how effectively their expertise can be scaled.
AI benefits both attackers and defenders, but defenders start with a unique advantage: they already own the map attackers must discover.
Defenders that understand their environment can use AI to turn that knowledge into operational scale.
The Autonomous AI...
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