A new offering focuses on identifying AI-related vulnerabilities and accelerating response as attacks move faster than traditional security workflows.
IBM has introduced new cybersecurity offerings aimed at helping organizations address emerging threats tied to advanced AI models, including a new assessment service and an automated, AI-driven security platform.
The company says attackers are beginning to use frontier AI models to accelerate different stages of the attack lifecycle, reducing the time and expertise needed to carry out complex attacks. In response, IBM is rolling out a cybersecurity assessment through its consulting arm to help organizations evaluate readiness for these types of threats.
The assessment is designed to identify security gaps, policy weaknesses, and AI-specific risks across complex IT environments. It also provides guidance on mitigation strategies and highlights areas where automation could improve detection and response.
Alongside the assessment, IBM introduced “IBM Autonomous Security,” a service that uses AI agents to automate aspects of vulnerability management and threat response. The platform is designed to operate across an organization’s security tools, analyzing exposures, identifying potential attack paths, and helping enforce security policies with less manual intervention.
According to the company, the system can also feed insights into governance and risk frameworks to support compliance and reduce response times.
“Frontier models are creating a new category of enterprise threat that is fast-moving, systemic, and increasingly autonomous,” says Mark Hughes, global managing partner of cybersecurity services at IBM Consulting, in a release. “Meeting that threat requires a systemic defense. AI-powered offense demands AI-powered defense. That’s what IBM is delivering.”
IBM says the new offerings are intended to help organizations adapt security operations as cyber threats become more automated and operate at greater speed.
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