In this episode, Pradeep Rao speaks about the emerging post‑quantum risk to cloud‑based cryptography and what it means for AWS‑hosted workloads. This Podcast focuses on the real‑world impact of “harvest now, decrypt later” attacks, the exposure of long‑lived encrypted data, and how AWS is embedding post‑quantum cryptography into foundational services such as AWS KMS, AWS Certificate Manager, CloudFront, and Secrets Manager. Part 1 establishes the security and risk context, clarifies shared responsibility, and outlines how post‑quantum readiness should be approached as a cloud security architecture decision—not a future crisis response.

Host is Pradeep Rao => https://www.linkedin.com/in/rao-pradeep/

AI/ML systems introduce an entirely new attack surface — from poisoned training data and model theft to insecure inference endpoints and privilege escalation inside ML pipelines.

In this episode of the AWS Expert Series Podcast, we take a CISO and Principal Engineer–level deep dive into securing AI/ML workloads on AWS. We explore identity boundaries in Amazon SageMaker, protecting data in S3-based feature stores, securing model artifacts, isolating training jobs, hardening inference endpoints, and implementing zero trust across the ML lifecycle.

If you’re building or governing AI on AWS, this episode goes beyond basics and into the real architectural and security decisions that matter.

Host is Pradeep Rao => https://www.linkedin.com/in/rao-pradeep/

Zero Trust on AWS goes far beyond IAM policies and MFA. This episode dives into identity propagation, workload compromise, and real-world attack paths—revealing how to design AWS environments that limit blast radius after credentials are exposed.

Host is Pradeep Rao [ https://www.linkedin.com/in/rao-pradeep/ ]