IBM has expanded its artificial intelligence-led cybersecurity initiatives as the company warned that advanced AI models are dramatically accelerating the speed at which hackers identify and exploit software vulnerabilities.
The technology company has joined Project Glasswing, a collaborative security initiative led by Anthropic alongside cybersecurity firms and software companies, aimed at protecting critical software infrastructure and open-source ecosystems from emerging AI-powered threats.
At the same time, IBM unveiled additional AI-based security tools focused on automating vulnerability detection, software testing, remediation prioritisation and threat response, according to the company’s official blog post.
Jamie Thomas, Chief Client Innovation Officer and Enterprise Security Executive, IBM, said the company has been strengthening its own systems while contributing to the wider cybersecurity ecosystem.
“Through this work, we’ve been hardening our own products, contributing fixes back to open source, and sharing findings and best practices with other participants,” Thomas wrote in a company blog post.
AI compresses cyberattack timelines
IBM executives warned that frontier AI models — advanced generative AI systems capable of coding, reasoning and software analysis — are significantly reducing the time between vulnerability discovery and exploitation.
Mark Hughes, Global Managing Partner of Cybersecurity Services, IBM, said attackers are increasingly using AI to discover and chain vulnerabilities together faster than ever before.
“The fundamental change is that the frontier model AI capabilities are allowing security vulnerabilities to be discovered, chained together and exploit paths developed,” Hughes said in an interview during IBM Think.
According to IBM’s 2026 Threat Intelligence Index, exploitation of public-facing applications rose 44 per cent year-on-year, driven partly by AI-assisted attacks.
Project Glasswing aims to bring together AI firms, software vendors and cybersecurity companies to identify vulnerabilities in widely used software before malicious actors exploit them.
The initiative will focus on coordinated vulnerability research, patch development and deployment of fixes across open-source software ecosystems.
IBM said it is deploying AI systems internally to strengthen cyber defence capabilities, including automated threat detection, patch management and software validation.
The company is also integrating security-focused AI models such as Claude’s Mythos Preview into its cybersecurity workflows.
Thomas said IBM follows a “multi-model approach” to enterprise security.
IBM also highlighted its Autonomous Security platform, which uses AI agents to automate parts of cybersecurity operations and response functions.
The company said enterprises will increasingly need automated and zero-trust security systems to cope with AI-powered cyber threats, as traditional patch-based responses may no longer be sufficient.
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