Using GenAI to Enhance Security and Platform Controls

This document is a technical report that discusses the application of generative artificial intelligence (genAI) in enhancing security operations and platform controls. It outlines two primary approaches to integrating genAI in security: minimizing complexity in security operations and improving performance within security platforms. The report emphasizes the importance of visibility in cybersecurity, particularly in the context of zero trust architecture and secure access service edge (SASE) platforms. It details how organizations can implement policies to warn users against unauthorized access to genAI platforms and block data uploads that violate data loss prevention policies. Additionally, the report describes the use of deep learning models for monitoring phishing and ransomware behaviors, enhancing threat detection, and reducing complexity in risk management. The document also covers the role of genAI in behavior analytics, allowing agencies to proactively detect anomalous user behavior while managing data storage costs. Lastly, it discusses the integration of genAI in DevSecOps processes to ensure secure coding practices.