"Security programs must be built for scale, automation and quick response," Equifax CTO Jamil Farshchi warned, summarizing an urgent dilemma now at the center of cybersecurity planning: how do defenders keep pace when machines can find flaws faster than humans can patch them?
The new tempo: machine-speed threats and Claude Mythos
The cybersecurity landscape is changing not because attackers are necessarily more numerous, but because they — and defenders — now operate at machine speed. The arrival of Anthropic's Claude Mythos, described in reporting as a new AI model that can uncover vulnerabilities, has raised the prospect of "a flood of repaid exploits." That phrase captures the essential problem: automated tools can accelerate discovery and exploitation, compressing weeks or months of vulnerability lifecycle into hours or minutes.
Equifax's take: scale, automation, quick response
Jamil Farshchi, the chief technology officer at Equifax, framed the required response in stark operational terms. Pointing to the Mythos-era challenge, he said security programs must be engineered to operate at scale and to automate where possible, with the capacity for rapid reaction when new vulnerabilities are found. In Farshchi's account, the architecture and processes of security teams need to reflect the speed at which vulnerabilities can be exposed and weaponized by modern AI tools.
Why this matters now
When an AI system can surface vulnerabilities quickly, the window for human-led detection, triage and remediation narrows. That has implications across several fronts: the design of security programs, investment in automated defenses and orchestration, and the operational posture of organizations that rely on timely patching and incident response. The central challenge is not merely technical; it is about enabling defenders to act as fast as the tools that expose weakness.
Looking forward: choices and risks
The core prescription from the Equifax CTO is straightforward: build for scale, automate where safety and accuracy allow, and shorten response cycles. Those steps are tactical and immediate. They also raise strategic questions: how will organizations prioritize automation without introducing new errors, and how will they validate automated fixes at machine speed? If defenders fail to adapt, the very speed that can empower security research could instead magnify harm — a "flood of repaid exploits" that outpaces traditional defenses.
As tools like Claude Mythos change the tempo of discovery, the imperative for scalable, automated, and rapid security programs becomes less a recommendation than a requirement. Will institutions move quickly enough to meet machines on their own terms?
