AI is changing cyber threats. Recovery is becoming just as important as prevention
At a Rubrik and YourStory roundtable in Bengaluru, engineering and cybersecurity leaders discussed how AI is expanding the attack surface, creating new security challenges, and shifting the focus from preventing breaches to recovering from them quickly.
AI is reshaping the cybersecurity landscape by accelerating software development and introducing new security risks. Advanced AI models, autonomous agents, AI-generated code, and geopolitical uncertainty are forcing organizations to rethink how they protect critical systems. Participants at a roundtable in Bengaluru emphasized that prevention alone is no longer enough, as AI expands the attack surface and the pace of software development creates complexity.
To address these challenges, companies are using AI as part of their defense strategy, focusing on AI-driven defensive agents, detection mechanisms, and stronger AI guardrails, observability, and governance. However, the discussion also highlighted the importance of resilience in cyber recovery, as even large organizations with mature security programs can experience prolonged business disruption.
Recovery involves trusted data, and companies must move beyond traditional approaches of prevention, detection, and remediation to focus on restoring business operations quickly after a breach.
Written by urgent.news from YourStory's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
