AI Cybersecurity After Mythos: The Jagged Frontier (aisle.com) AI

The article argues that AI cybersecurity progress depends more on the end-to-end “system” around the model than on using the most powerful frontier model. The authors test Anthropic’s Mythos showcase vulnerabilities with small, cheap (and sometimes open) models and find that many can recover key analysis and flagship exploit chains, while performance is highly task-dependent and does not scale smoothly with model size. They conclude that model orchestration, validation, triage, and maintainer trust are the main “moat,” and that deploying many competent small models can be more effective for defensive workflows than relying on a single best model.