Next-Gen Cloud Security Powered by Oracle’s Autonomous AI
Abstract:
As enterprises evolve toward more advanced cloud-native ecosystems, legacy security models are proving too slow and reactive for today’s dynamic threat landscape. Oracle is redefining cloud security with cutting-edge autonomous AI agents that proactively monitor, detect, and neutralize risks in real-time across complex environments.
These intelligent agents leverage behavioral analytics and automated remediation to drastically reduce manual intervention, streamline operations, and supercharge response times. With Oracle AI Agent Studio, organizations can design, deploy, and govern policy-based agents tailored to their unique security needs.
This keynote dives into Oracle’s pioneering role in the future of AI-driven cloud security. We’ll share powerful success stories—from Industrial Scientific’s operational breakthroughs to how Oracle leverages AI to fight financial crime. You’ll also see how these agents integrate seamlessly with Oracle Cloud Infrastructure (OCI) Generative AI and Fusion Applications.
Anchored in Zero Trust architecture, secure development practices, and strong governance, this session reveals how Oracle’s agentic AI is shaping the next frontier of autonomous cloud defense.
Profile:
Pavan Nutalapati is a Senior Technical Leader at Oracle, where he brings extensive expertise in Distributed Systems, Cybersecurity, Cloud Architecture, AI/ML, and Disaster Recovery, with a strong focus on fintech and public sector platforms. With 16+ years of experience, Pavan leads the development of secure, intelligent, and scalable cloud solutions for enterprise financial applications.
At Oracle, Pavan architects advanced security frameworks that protect sensitive financial data and ensure compliance with stringent industry regulations. His work spans AI-powered threat detection, encryption protocols, secure access controls, and continuous monitoring pipelines, which have collectively driven a 35% reduction in security breaches over the past year. Additionally, he spearheads cloud optimization efforts, improving system efficiency by 40% and lowering operational costs by 25%.
An advocate for AI/ML-driven architecture, Pavan integrates machine learning models into cloud-native solutions to deliver predictive analytics, automated anomaly detection, and proactive risk mitigation—enhancing both the performance and security posture of Oracle’s fintech services.
In the area of disaster management, Pavan has designed AI-enhanced disaster recovery solutions that ensure less than 15 minutes of downtime during critical system failures. His innovations have resulted in a 50% improvement in recovery time objectives (RTOs), fortifying the resilience of financial systems.
Working closely with cross-functional teams, Pavan embeds AI-driven security and reliability across Oracle’s cloud platforms. His ability to align emerging technologies such as AI/ML with the dynamic needs of the fintech industry positions him as a key innovation leader, advancing Oracle’s vision for secure, intelligent, and resilient cloud services.
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