Synopsis

1. AI-Enhanced Security Analytics: Developing AI algorithms for real-time security analytics that can detect anomalies and potential threats within large volumes of data.
2. Behavioral Analysis for Insider Threat Detection: Using AI to profile and detect abnormal behaviors among employees and privileged users to prevent insider threats.
3. Deep Learning for Malware Detection: Exploring deep learning models for the automatic detection of malware, even those with polymorphic or metamorphic characteristics.
4. AI for Network Intrusion Detection and Prevention Systems (NIDPS): Enhancing NIDPS with AI algorithms to identify and respond to network intrusions more effectively.

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