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AI cybersecurity safeguards people and data from threats like phishing, malware and account takeovers across email, endpoints, cloud applications and networks. It enables faster detection, analysis and response while increasing security intelligence and threat visibility.

AI can reduce human risk and workload in the four key security processes: discovery, identification, response and recovery. It identifies patterns in massive volumes of security data and delivers insights that would take hours or weeks to process for human teams. It can also automatically detect, prioritize and analyze incoming alerts for speedy action to mitigate incidents before they escalate and improve threat detection.

CISOs must understand how AI works in their security ecosystems and ensure that vendors apply best practices for protecting and securing AI tools, models and results. This includes maintaining a complete record of model versions, training data sources and decision rationale for audits and compliance. It’s also critical to establish and enforce change control for new AI deployments and major model updates. And to regularly evaluate accuracy, fairness and transparency metrics to prevent exploitation of AI models by adversaries.

CISOs should also look for AI security solutions that explain their detection logic and enable tuning or model customization to enhance trust, reduce false positives and align with internal threat models and regulatory standards. Finally, they should consider solutions that provide built-in security and risk reporting to support audits and board-level communications.