AI benefits/risks, Attack surface management, Data Security, Storage, Business continuity

Expanding attack surfaces in the age of agentic AI

Network map with highlighted compromise nodes and alert marker representing incident response and threat containment.

The integration of agentic AI into enterprise workflows is significantly expanding the attack surface, necessitating a shift in how organizations approach cyber resilience and data recovery, according to insights from Silicon Angle.

As enterprises deploy large and small language models, they inadvertently create new targets for cybercriminals. Eric Herzog, chief marketing officer of Infinidat Ltd., emphasizes that the entire AI software stack requires robust protection. Because 90% of critical data at Fortune 500 companies resides on enterprise storage, this layer has become a primary focus for security strategies. Infinidat addresses these risks through its InfiniSafe capabilities, which include immutable snapshots and logical air-gapping to isolate management planes.

The system utilizes machine learning to detect anomalies in block, file, and VMware data stores, allowing for rapid identification of threats. By integrating with security operations centers, the technology enables immediate responses to potential breaches. Infinidat currently offers a recovery-time guarantee of one minute or less for immutable snapshots, regardless of dataset size. Given that global executives now rank cyber threats as the top business risk, Herzog advocates for enterprise-wide cyber storage integration. Collaborating with partners like Veeam Software Group and Commvault Systems, firms can better protect backups against sophisticated attacks, ensuring business continuity in an increasingly volatile digital landscape.

Source: Silicon Angle

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