AI will significantly augment disaster recovery (DR) testing, runbook creation, and incident detection in the next five years.
AI can support advanced ways to automate DR testing, reducing the need for manual intervention. These functions not only save time but also ensure all tests are consistent. Furthermore, AI algorithms korea whatsapp number data can analyze outcomes of past DR tests to predict future failures, enabling organizations to proactively address issues before disaster. And, of course, AI can help to optimize resource allocation by analyzing system performance during DR tests and suggesting adjustments as needed.
AI is also transforming the field of runbook automation (RBA). Instead of taking a rigid, rules-based approach adopting an “if, then” logic system, AI-based RBA takes a cognitive approach, making decisions based on knowledge representation, learning and reasoning.
Finally, AI is becoming a driving force behind the threat intelligence industry. By collecting, processing and synthesizing threats, AI can transform how organizations combat cyber risks. The productivity gains brought about by AI in threat intelligence and security operations will be significant. —Adam Scamihorn, Product Director, InterVision.