Ankit Gupta
Ankit Gupta is a Cybersecurity Research Architect with over a decade of experience specializing in cloud security, AI governance, and Zero Trust implementation for critical infrastructure. He currently serves as a Senior Security Engineer, where he has led the development of AI governance frameworks, enterprise-wide data loss prevention strategies, and Zero Trust security models aligned with NIST and FTC standards.
His work spans regulatory compliance (CPRA, GLBA, ISO 27001), threat detection engineering, and secure DevSecOps integration across hybrid environments. Ankit is widely recognized for translating applied research into practical enterprise controls, particularly in the areas of AI risk, identity security, and cloud-native threat mitigation.
Session
As AI-generated threats evolve—from deepfake content and synthetic identities to autonomous attack scripts—traditional security monitoring systems struggle to keep pace. This talk presents a forward-looking approach to detection engineering, tailored explicitly for synthetic threats in enterprise environments. Grounded in real-world experience with Microsoft Sentinel and MITRE ATT&CK, the session outlines techniques for modeling adversarial behavior, crafting high-fidelity analytics, and integrating automated response mechanisms.
Key focus areas include identifying machine-generated anomalies, detecting adversarial misuse of AI/ML models, and leveraging behavioral telemetry to differentiate between organic and synthetic actions. Attendees will gain practical insights into designing scalable detection rules, minimizing alert fatigue, and operationalizing threat intelligence to counter novel attack vectors. This session is designed for cloud security engineers, SOC analysts, and cyber defenders who aim to modernize their detection strategies against AI-enhanced threats.