GTB Technologies will present “DLP Reimagined: Precision, DSPM & Insider Risk in an AI-Driven Data World” at the Gartner Security & Risk Management Summit 2026. The presentation will showcase GTB’s Semantic Data Security™ approach for protecting sensitive data across AI, SaaS, cloud, and hybrid environments. The event will take place June 1–3, 2026, at the Gaylord National Resort & Convention Center in National Harbor, Maryland.
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™’ is becoming 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.
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.
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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 session will present how GTB’s Semantic Data Security™ platform helps organizations discover, classify, monitor, protect, and understand sensitive data across data environments.
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,” Daniel Jay, EVP at GTB Technologies, said, “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 to reduce their data exposure risk and support compliance, insider risk reduction, and modern AI governance initiatives.
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