Karthikeyan Thandayutham

Bridging the Multi-Cloud Security Gap: AI-Driven Orchestration of Unified Defense Controls.

Abstract:

With most enterprises now operating across multiple cloud environments, security teams face fragmented telemetry, inconsistent policy enforcement, and manual, slow response workflows. This session introduces an AI-driven orchestration framework that unifies preventive, detective, and remediative security controls across AWS, Azure, GCP, and private cloud platforms. Unlike reactive tool centric SOAR implementations, the framework leverages behavioural AI models to normalize cross cloud telemetry aligned with open standards such as OCSF, correlate threat signals in real time, and power a hybrid decision engine that automates low-risk remediation while escalating high-impact incidents with rich contextual intelligence.

An intent-based policy layer combining large language models with embedded guardrails ensures consistent vendor-agnostic enforcement and safe rollout through linting, dry run validation, blast radius checks, and rollback mechanisms. The design maps to established security frameworks, including NIST SP 800 53, NIST CSF, MITRE ATT&CK, and ISO 27001, enabling measurable governance alignment and operational resilience.

Attendees will gain practical insights into reference architectures, deployment blueprints, and ROI models that demonstrate how unified AI driven orchestration reduces false positives through intelligent correlation, improves mean time to detect (MTTD) and mean time to respond (MTTR) through closed loop automation, and minimizes variance in incident outcomes across multi cloud ecosystems, transforming fragmented security tooling into a cohesive predictive defense capability.

Profile:

Karthikeyan Thandayutham is a Vice President and Lead Security Engineer at JPMorgan Chase, bringing over a decade of expertise in cloud security, payment platform development, and enterprise compliance automation. Currently based in Frisco, Texas, he specializes in designing and implementing AI-driven, enterprise-scale security and governance systems across global financial institutions.

In his current role at JPMorgan Chase, Karthikeyan leads the development of cutting-edge authorization and governance platforms that standardize security policies across Kubernetes, Terraform, and service mesh environments. He has architected AI-augmented Payment Card Industry (PCI) compliance processes and integrated Open Policy Agent (OPA) with AI-based policy validation to enhance multi-cloud security across platforms.

Throughout his career, Karthikeyan has held progressively senior roles at leading financial services organizations, including Tata Consultancy Services (working with Citi Bank), Mphasis, Iris Software, and Capgemini America. His notable contributions include modernizing JPMorgan Chase's MNPI Governance Platform, developing Citi's global wire transfer infrastructure supporting 160+ countries, and building Discover Financial Services' Common Payment Platform dispute resolution system.

Karthikeyan holds a Bachelor of Engineering in Electronics and Communication Engineering from Anna University and has received recognition for his contributions, including the Best Employee Award in 2012. His technical expertise spans full-stack development, microservices architecture, cloud security, DevOps automation, and regulatory compliance frameworks, including PCI DSS, CCAR, and risk management systems.

Known for his ability to bridge technical innovation with regulatory requirements, Karthikeyan continues to drive the transformation of financial services through secure, scalable, and compliant technology solutions that reduce operational risk while improving audit readiness and developer experience.