Shifting Focus of Cyber Resilience in AI Deployments
As enterprises increasingly adopt AI agents in production environments, the landscape of cyber resilience has evolved significantly. Organizations are discovering that their ability to govern the autonomous actions of AI systems is as crucial as preventing external cyberattacks. Interestingly, a considerable portion of risk stems not from malicious actors, but rather from AI agents performing unexpected actions at machine speed.
This paradigm shift is prompting storage providers to develop intelligent data infrastructures that can analyze and assess data usage patterns. NetApp Inc. is leading the charge in this area, moving towards access control frameworks that prioritize behavioral policies over simplistic yes-or-no permissions, as explained by Russell Fishman, Senior Director of Global AI Solutions at NetApp.
During a recent discussion at the NetApp INSIGHT 2026 event, Fishman emphasized the departure from traditional human-centric perspectives on governance. He noted, “This is an agent; agents don’t think or act like humans do.” This recognition marks an important turning point in how businesses must approach data security and risk management in the age of AI.
Emerging Cyber Resilience Strategies
Given the accelerating pace of cyber threats, NetApp’s existing protection solutions remain relevant. The company offers an autonomous ransomware protection service that utilizes AI to detect and thwart attacks. Recently announced integrations enhance these capabilities, linking threat detection to recovery systems offered by Commvault Systems Inc. Fishman mentioned similar collaborations with Microsoft Corporation’s Sentinel and Cisco Systems Inc.’s Splunk, turning NetApp into a robust indicator of compromise.
In dialogues with numerous organizations, Fishman observed that concerns often center on AI agents causing unintended disruptions rather than external threats. In response, new features within NetApp’s AI Data Engine aim to address these concerns by implementing behavior-based policy frameworks that identify unusual data usage patterns. For instance, anomalous access to multiple customer accounts would trigger alerts, underscoring the focus on behavioral anomalies.
As organizations seek to keep pace with AI speed, the need for rapid response mechanisms becomes apparent. Fishman noted that relying solely on human oversight is no longer feasible, necessitating greater automation to manage risks effectively. For customers seeking to bolster their cyber resilience now, NetApp’s AI Data Engine can be integrated into existing systems, and at the recent event, the company announced a complimentary six-month offer for this service.
Fishman encouraged NetApp customers, particularly those managing ONTAP systems, to prioritize immediate deployment of these new capabilities. He warned that the risks associated with inaction—ranging from stifled innovation to potential data misuse—could have significant repercussions for organizations in today’s evolving threat landscape.
For further insights, watch the entire interview conducted during SiliconANGLE’s coverage of NetApp INSIGHT 2026, where industry leaders discuss the intersection of AI, storage strategies, and data security measures that enhance cyber resilience.