US Needs Coherent AI Cybersecurity Policy, Author Argues

TL;DR. A new proposal urges US AI cybersecurity policy to focus on the entire attacker-defender ecosystem, rather than solely on individual model launches. - Current policy is criticized for bias toward AI's benefits for attackers, neglecting its defensive potential. - Future AI agents will automate kill chains, increasing cyber instability and risk for society. - Policy should measure and shape the overall cyber environment to minimize net harms, not just guardrail models.

• Existing AI security policy incorrectly prioritizes individual model launch risks over the broader cyber ecosystem.
• AI cybersecurity capabilities are dual-use, beneficial to both attackers and defenders, yet policy biases towards attacker risks.
• The rise of AI security agents will automate cyberattacks and defenses, increasing overall instability.
• A national policy must understand the complex interplay between AI capabilities, human factors, and economic intelligence to minimize net harms.

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