Putting frontier AI to work to strengthen defenses
Putting frontier AI to work to strengthen defenses
https://www.ibm.com/think/news/evolving-defenses-frontier-ai-threats
Publish Date: 2026-05-20 17:00:00
Source Domain: www.ibm.com
As attackers increasingly use AI to speed up and scale cyberattacks, security teams are beginning to deploy frontier models of their own. One example is Claude’s Mythos Preview, a security-focused version of Claude designed to help identify and analyze software vulnerabilities.
IBM takes a multi-model approach to security—evaluating and deploying a mix of both traditional and AI-enabled tools based on their effectiveness, governance and risk controls. We’ve applied AI models, including frontier models such as Claude’s Mythos Preview to these capabilities across our defenses. For example:
- Detection and analysis. IBM is introducing AI to assist in identifying and prioritizing critical threats. Our goal is to reduce the time between detection and remediation as attackers automate more of the threat chain.
- Software lifecycle integration. IBM is working to embed AI-assisted capabilities across our software lifecycle to improve vulnerability assessment, software analysis, remediation prioritization and response coordination. A key focus is on leveraging AI code assistants, such as IBM Bob, to automate testing and test harness automation to enable faster remediation through accelerated testing.
- Vulnerability remediation. We use both traditional industry-standard and AI tools to automatically triage and remediate vulnerabilities. The program incorporates newer AI tools, alongside more traditional software composition analysis, static and dynamic analysis, as well as scanners for images, secrets and other potential risks.
IBM’s approach still centers on core principles such as centralized governance, coordinated PSIRT processes, automated testing, engineering oversight and risk-based remediation. But we’re now weaving AI into each of those areas to keep pace with the ever-evolving threat landscape.
