CYBERSECURITY | IBM targets AI-driven cyberattacks with new enterprise security tools
According to IBM, attackers are already using advanced AI models to accelerate every stage of cyberattacks, reducing the time, cost, and expertise needed to execute complex intrusions.
Source: IBM
IBM recently announced new cybersecurity measures aimed at helping enterprises defend against a rising class of AI-driven threats known as agentic attacks, as organizations face increasingly automated and fast-moving cyber risks.
The announcement, made in Manila, outlines two key initiatives: a cybersecurity assessment designed to evaluate enterprise readiness against AI-enabled threats, and a new service called IBM Autonomous Security that uses AI agents to automate defense and response.
According to IBM, attackers are already using advanced AI models to accelerate every stage of cyberattacks, reducing the time, cost, and expertise needed to execute complex intrusions. These developments are pushing organizations toward continuous disruption, as traditional security systems struggle to keep pace.
To address this, IBM Consulting is introducing an enterprise cybersecurity assessment focused on risks linked to frontier AI models. The assessment aims to help organizations identify vulnerabilities across complex IT environments, including security gaps, policy weaknesses, and AI-specific exposures.
The service also provides prioritized mitigation strategies and highlights areas where automation can improve detection and response. It is delivered in collaboration with IBM’s technology partners to support enterprise-wide security coverage.
IBM also introduced IBM Autonomous Security, a multi-agent system designed to operate across an organization’s security infrastructure. The service uses AI agents to analyze vulnerabilities, detect anomalies, enforce security policies, and respond to threats with minimal human intervention.
The system integrates with governance and risk management platforms, enabling real-time updates to an organization’s security and compliance posture. IBM said this approach is intended to reduce exposure windows and improve response times against high-speed attacks.
“Frontier models are creating a new category of enterprise threat that is fast moving, systemic and increasingly autonomous,” said Mark Hughes, global managing partner of cybersecurity services at IBM Consulting. “AI-powered offense demands AI-powered defense.”
IBM said the shift toward AI-driven attacks requires enterprises to rethink how security systems operate, moving away from fragmented tools toward coordinated, automated defense frameworks.
The company added that as threats become more autonomous, security effectiveness will depend on how quickly and cohesively systems can respond, rather than on individual tools alone.
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