GTB Technologies,a leader in data-centric cybersecurity and the pioneer of DLP that Works, today announced its presentation at the Gartner Security & Risk Management Summit 2026, demonstrating "Why Inspect Prompts When You Can Control the Data" as a new approach to securing sensitive information in AI-driven environments, taking place June 1–3, 2026, at the Gaylord National Resort & Convention Center in National Harbor, Maryland.
GTB Technologies presents at Gartner Security & Risk Management Summit June 1-3, 2026.
Session: "DLP Reimagined: Precision, DSPM & Insider Risk in an AI-Driven Data World" on June 1 at 13:15, Theater 2.
Demonstrates Semantic Data Security platform for discovery, classification, monitoring, and protection across data at rest, in motion, and in use.
Features patented virtual false-positive DLP technology developed over 20+ years.
Unified platform spans DLP, DSPM, insider risk, and AI-driven data governance.
Presenter: Daniel Jay, EVP at GTB Technologies.
As organizations rapidly expand into AI-driven workflows, SaaS applications, cloud services, and hybrid infrastructures, sensitive data becomes increasingly difficult to track and control as it moves among users, applications, and systems. GTB's message to the market is clear: "Why Inspect Prompts When You Can Control the Data."
The presentation, titled "DLP Reimagined: Precision, DSPM & Insider Risk in an AI-Driven Data World," will explore how organizations can easily modernize data security by deploying a unified, data-centric approach focused on semantic understanding, contextual intelligence, and real-time enforcement.
Attendees will see a live demonstration showcasing:
Real-time discovery and classification of sensitive data across data at rest, in motion, and in use
GTB's patented virtual false-positive DLP technology developed and refined over more than 20 years
Unified visibility with protection spanning DLP, DSPM, insider risk, and AI-driven data governance initiatives in a single platform offers strong data security throughout critical channels that's simple to deploy on a large scale and within large enterprises
Contextual analysis and user risk correlation designed to improve detection precision and reduce operational noise
Real-time enforcement capabilities across endpoints, cloud platforms, SaaS applications, email, web, and AI-enabled environments
Modern approaches to controlling sensitive data exposure in increasingly decentralized enterprise ecosystems
"Conventional mechanisms relying solely on fixed, static classification or simple prompt detection are insufficient in today's AI-driven environments," said Daniel Jay, EVP at GTB Technologies. "Organizations require visibility into the meaning of data, the context surrounding its movement, and the ability to enforce protection in real time. This is the basis for Semantic Data Security."
GTB's platform incorporates semantic data understanding, contextual fingerprinting, behavioral analysis, and enforcement capabilities into a single architecture that can help large enterprises reduce their data exposure risk and support compliance, insider risk reduction, and modern AI governance initiatives.
About GTB Technologies
GTB Technologies delivers data-centric cybersecurity solutions designed to help organizations discover, classify, monitor, and protect sensitive data across endpoints, networks, cloud platforms, SaaS applications, and AI-driven environments. GTB's platform combines semantic understanding, contextual intelligence, and real-time enforcement to reduce data exposure risk and help organizations strengthen compliance, insider risk protection, and data governance initiatives.
GTB Technologies is recognized for its "DLP that Works" approach and its focus on protecting data at rest, in motion, and in use.
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