The point: Operational speed — not merely defense quality — becomes the decisive competitive factor as AI accelerates both attackers and defenders equally.
Anthropic’s Mythos and Glasswing as well as similar developments at OpenAI and DeepSeek demonstrate that AI accelerates offense and defense simultaneously. For security executives, the question sharpens less around whether AI systems function, but how quickly organizations can act on information gained.
Anthropic’s recent announcements of Project Glasswing and the Mythos model showcase AI capabilities that historically required specialized expertise: vulnerability detection, attack-path analysis, reconnaissance, and social engineering. This triggers a debate shift among CISOs focused less on feasibility than on speed. The central question is no longer whether AI systems can reliably operate in production environments, but how quickly security teams can operationalize the insights gained.
While classic technology transitions — cloud, mobile devices, digital transformation — unfolded over years, the AI cycle shifts in months and weeks. New models emerge continuously, new research findings every two to three weeks. A central example: vulnerabilities today traverse all phases of the classic cycle (discovery, validation, remediation, protection) within hours or days rather than weeks. Attackers already operate at this AI-accelerated speed. Defenders must now achieve this operational velocity.
The paradox lies in the fact that classic security challenges — visibility, threat discovery, intelligence gathering — are simultaneously accelerated by AI. The bottleneck, however, shifts from information acquisition to response speed: the advantage will belong not to the organization with the most data, but to the one that translates it into action most rapidly. For CISOs, this implies a realignment of security operations models focused less on more comprehensive data collection than on shrinking response cycles.
Source: www.csoonline.com · Published 22 July 2026
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