Gen AI Aligns IT and Security Teams

Artificial intelligence is transforming how IT and security teams collaborate to address data management and cyberthreats. Historically, these teams operated in silos, creating gaps in knowledge and response. Generative AI bridges this gap through natural language interfaces, enabling better communication and understanding between departments, said Stephen Manley, chief technology officer at Druva.

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AI strengthens data security, Manley said. Druva’s cloud-native SaaS solutions address three primary challenges: adapting to rapidly evolving threats, managing system maintenance and enabling scalable recovery from cyber events. Unlike traditional models, SaaS provides continuous monitoring, simplifies patching and provides on-demand scalability during critical incidents, he said.

“How do we keep up with things? How do I keep my environment healthy? Because there’s so many systems to patch, and there’s so many dependencies,” he said. “When a cyber event hits, I’m going to want to unleash the full force, as much compute power, as much storage power as I can in that moment because I want to get my business up and running.”

In this video interview with Information Security Media Group at AWS re:Invent 2024, Manley also discussed:

• How AI provides a natural language interface for effective communication and task alignment;
• Conducting tabletop ransomware exercises to identify assumptions and gaps in recovery plans;
• How metrics such as efficiency and efficacy help measure AI’s impact on data security.

Manley delivers solutions to help customers unlock the full potential of their data. In his current role, he focuses on advancing data protection and management through cutting-edge SaaS solutions, cloud-native technologies and Kubernetes integration. Prior to Druva, he worked as a senior technical director of data protection at NetApp.