From AI Risk to Trusted Recovery: Building Resilient Incident Response

From AI Risk to Trusted Recovery: Building Resilient Incident Response Presented by Commvault     60 Minutes     Share Post Share AI driven risk has shifted incident response from a detection problem to a recovery problem. The average cost of a breach now sits near $4.9 million, and organizations still take 277 days on average to identify and contain an incident, leaving extended exposure for attackers. At the same time, GDPR’s 72 hour notification rule forces security teams to reconstruct events quickly and accurately, often under active pressure. While AI enabled response tools can reduce incident workload by up to 80%, most environments still lack a mature, repeatable path to restore systems to a trusted state. For experienced security leaders, the real gap is no longer visibility. It is whether recovery can be executed cleanly, quickly, and consistently when systems, data, and identities are already compromised. Why register: Build a repeatable recovery model that restores trusted operations faster under real attack conditions; Close governance gaps across identity, data, and AI systems that attackers exploit most; Improve incident decision making with structured recovery playbooks aligned to regulatory demands.