AI has become essential in enhancing cybersecurity defenses beyond traditional methods. By automating threat detection, predicting security incidents and enabling effective threat hunting, AI helps organizations counter sophisticated cyberthreats. However, deploying AI in cybersecurity requires addressing challenges in model accuracy, data management and integration. This session explores strategic considerations for leveraging AI to build resilient defenses for CISOs.

The session will cover:

• Operationalizing AI: Integrate AI into daily security functions, ensuring outputs are actionable within existing workflows;
• Data management: Access appropriate data for AI models, including considerations for data indexing and explaining outputs to non-technical stakeholders;
• Best practices: Implement AI within your security architecture while maintaining scalability and avoiding unnecessary complexity, including when traditional methods might be more suitable than AI solutions.