Mr. Pavan Nutalapati

AI-Powered Threat Hunting in Large-Scale Enterprise Networks

Abstract:

With the increasing complexity and scale of enterprise networks, traditional security tools are no longer sufficient. Attackers now leverage automation and AI to evade detection, rendering reactive and static defense strategies ineffective. In this session, I will demonstrate how AI-powered threat hunting enables organizations to proactively identify and neutralize threats instead of simply monitoring for known indicators.

We will examine why over two-thirds of security breaches go undetected for months and how AI can uncover hidden patterns and anomalies in vast datasets within minutes. You will see how machine learning models build behavioral baselines, detect lateral movement, identify insider threats, and help security analysts focus on high-priority incidents.

The session outlines a practical roadmap for implementing AI-driven threat hunting, starting with defining clear objectives, evaluating data infrastructure, piloting tools, and establishing effective collaboration between humans and intelligent systems. Real-world examples, including how Citizens Financial Group dramatically reduced investigation time and improved threat resilience, illustrate the tangible benefits.

As AI continues to evolve, threat hunting will become an essential pillar of modern cybersecurity by combining speed, precision, and adaptability. This session will equip you with actionable insights to integrate AI into your security strategy and strengthen your defense against today’s advanced threats.

Profile:

Pavan Nutalapati is a Lead at Oracle, with over 16 years of experience in cybersecurity, AI/ML, distributed systems, and cloud infrastructure. He designs intelligent, secure, and scalable enterprise solutions, particularly for fintech and public sector domains.

At Oracle, Pavan leads initiatives focused on AI-powered threat detection, security automation, and continuous monitoring. His work in predictive security frameworks and behavior-based analytics has contributed to a 35 percent reduction in breaches and improved response times across critical enterprise platforms.

He is passionate about integrating machine learning into security operations to proactively identify advanced threats and improve operational resilience. Pavan also drives disaster recovery strategies that reduce downtime and enhance system reliability.

By aligning emerging technologies with enterprise security needs, Pavan helps organizations modernize their defenses and stay ahead of evolving cyber threats.