AI’s cybersecurity paradox: How CIOs can keep up with change

AI’s cybersecurity paradox: How CIOs can keep up with change

AI’s cybersecurity paradox: How CIOs can keep up with change

https://www.techtarget.com/searchcio/feature/ais-cybersecurity-paradox-how-CIOs-can-keep-up-with-change

Publish Date: 2026-05-27 14:43:00

Source Domain: www.techtarget.com

Technological breakthroughs are often double-edged swords. AI in security is no exception.

In April 2026, Anthropic announced Claude Mythos Preview, a general-purpose AI model the company said performed unusually well at identifying and exploiting software vulnerabilities. The company said it would not release the model but instead launch Project Glasswing — an effort to study the model in real-world security settings and strengthen defensive readiness. The episode highlights a growing paradox in cybersecurity: the same advances that strengthen defenders can also accelerate the pace of exploitation.

CIOs and security leaders are responding to Mythos Preview and similar AI-driven threats by treating them as immediate risks rather than future concerns. They are replacing periodic scans and manual response processes with continuous monitoring, faster vulnerability remediation and greater visibility into how employees use AI tools. Together, these changes reflect a shift from periodic, human-driven security operations to automated systems that continuously detect and respond to threats faster than humans alone.

“We used to build walls, control those walls and respond to alerts. That’s all changing. You can’t build a wall high enough to prevent penetration. The new posture … needs to be continuous, adaptive and intelligence-driven,” said Sean Safieh, CIO of global platforms and digital solutions at Sedgwick, a global claims management company.

How Mythos affects cybersecurity

AI has reshaped cybersecurity on both sides of the threat equation. It helps attackers find and exploit vulnerabilities while giving defenders new tools to detect and respond to threats.

How Mythos could help attackers

Since the advent of ChatGPT in late 2022, large language models (LLMs) and other AI systems have helped attackers craft phishing campaigns, generate deepfakes and find vulnerabilities in code. This shift has increased pressure on security teams, which now face…

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