AI Shifts Cybersecurity Focus from Finding Flaws to Fixing Them — Campus Technology
AI Shifts Cybersecurity Focus from Finding Flaws to Fixing Them — Campus Technology
Publish Date: 2026-06-22 17:43:00
Source Domain: campustechnology.com
AI Shifts Cybersecurity Focus from Finding Flaws to Fixing Them
One of cybersecurity’s most difficult challenges has always been finding vulnerabilities before attackers do. A growing number of security professionals now say artificial intelligence is changing that equation, shifting the focus from discovering flaws to fixing them quickly enough to prevent exploitation.
At the center of that shift is Anthropic’s Project Glasswing, a cybersecurity initiative that provides selected organizations with access to Claude Mythos Preview, an advanced AI model designed to identify software vulnerabilities and potential attack paths.
According to Anthropic, Project Glasswing has expanded to more than 150 organizations across more than 15 countries and has helped identify more than 10,000 high- or critical-severity vulnerabilities in participating organizations and software projects. The figures were disclosed by the company in materials describing the initiative.
The program gained additional attention recently when BT Group became the first U.K. company to publicly join the initiative. According to BT and reporting by TechRadar, the telecommunications company plans to use the technology to strengthen defenses across its networks and customer systems. BT said it currently blocks approximately 4 million cyber attacks each day.
The development reflects a broader trend in which AI companies are positioning advanced models as cybersecurity tools for governments, critical infrastructure operators, and large enterprises.
According to Anthropic, Project Glasswing participants include organizations from sectors such as telecommunications, healthcare, energy, and government. The company also lists major technology and financial firms, including Microsoft, Google, Apple, Nvidia, Amazon Web Services,…
