Sensitive data now lives in terabytes and petabytes across cloud, SaaS, and on-prem systems that were never designed for full-content scanning. At that scale, traditional discovery patterns quietly break: brute-force classification becomes too expensive to run, regex-heavy rules miss real-world context, and "smart" sampling leaves most of your crown jewels uninspected. Meanwhile, regulators are increasingly explicit that probability is not a defense when something leaks.

In this session, Lightbeam Chief Architect Aditya Ramesh will break down what it actually takes to find and secure sensitive data at petabyte scale. He'll dissect the hidden failure modes of brute-force scanning and sampling, walk through the real compute and time costs of full discovery, and show where common DSPM approaches fall over in the terabyte-to-petabyte range.

From there, Aditya will share scalable patterns practitioners can steal: metadata-first inventories to map your data surface, semantic templates to avoid constant rescans, event-driven and incremental scanning to keep pace with change, and hybrid architectures that run close to where data lives. Attendees will leave with a practical mental model for building discovery pipelines that can keep up with growth instead of collapsing under it.

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Speakers
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Aditya Ramesh
Co-Founder and Chief Architect, Lightbeam

Aditya Ramesh is Co-Founder and Chief Architect at Lightbeam, where he leads the design of an AI-driven, identity-centric data security platform that helps enterprises discover, classify, and protect sensitive data in real time. With over a decade of experience across security, distributed systems, and AI-driven data governance, he has architected platforms that turn complex infrastructure into scalable, intelligent systems with measurable business impact. Before Lightbeam, Aditya spent seven years at Nutanix helping evolve the AHV hypervisor from an idea into the compute engine behind the majority of deployments, building large-scale scheduling systems that power modern cloud infrastructure. Earlier at LinkedIn, he worked on Espresso, the distributed document store underpinning billions of user interactions and analytics workloads. Aditya is passionate about using AI to automate data classification, improve ML inference efficiency, and enable petabyte-scale architectures, proving that security and privacy, done right, can accelerate innovation rather than slow it down.
Moderator
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Tom Bechtold
Digital Events Director, SecureWorld

Tom has been part of the SecureWorld team for over 14 years. He has launched several of the regional conferences we hold today. Tom is currently responsible for SecureWorld Digital, which provides educational content to the SecureWorld audience. He produces, executes, and moderates the majority of the Remote Sessions webcasts while also working closely with the SecureWorld event directors to build relevant agendas at the regional conferences.