Security, privacy, and access governance hinge on accurate data discovery and classification — yet current tools rely on outdated rule-based models, heuristics, or AI approaches that don’t train models effectively across today’s dynamic, unstructured, and shadow IT environments. As data sprawls across disparate systems, organizations struggle to identify shadow data, map it to identities, and enforce access governance effectively.
LightBeam.ai’s AI-powered entity resolution and retrieval-augmented generation (RAG) techniques address this challenge by automating classification, mapping sensitive data to identities, and applying automated remediations in real-time. This intelligent approach enables precise and automated access controls, enforcement of governance policies, and reduction of attack surface, empowering organizations to proactively manage risk, maintain compliance, and protect sensitive data in an evolving digital landscape.
In this webinar, we’ll demonstrate real-world examples of how security teams can:
Improve accuracy to 95%+, enabling automated remediation
Save hundreds of hours spent manually verifying false positives
Identity simple access governance improvements that lead reducing risk by up to 80%
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