Forcepoint announced the expansion of its Self-Aware Data Security platform to protect enterprise databases and structured data sources. With this launch, Forcepoint is the first to extend AI Mesh Data Classification technology across both structured and unstructured data throughout the hybrid enterprise, delivering unified Data Security Posture Management (DSPM) and adaptive data loss prevention in a single platform.
As enterprises accelerate SaaS, cloud and AI adoption, structured data remains a critical blind spot. Databases and data lakes house customer records, financial assets and intellectual property but have lacked consistent visibility and policy enforcement alongside files, emails and SaaS apps. By extending AI Mesh Data Classification to structured sources, Forcepoint enables organisations to discover, classify and remediate risks in real time with a single-policy framework.
With Forcepoint DSPM, enterprises and government agencies can discover and classify regulated and proprietary information across databases, data lakes and files, track its movement and apply safeguards in real time, without manual queries or fragmented tools. This automation is enabled by Forcepoint’s AI-native approach to Self-Aware Data Security, which unifies visibility and enforcement in a continuous loop, making security responsive and adaptive, not static.
“At FBD Insurance, looking after our customers has always been our top priority—and Forcepoint looks after us the same way. That’s quite unique,” said Enda Kyne, Chief Technology and Operations Officer at FBD Insurance. “Forcepoint’s AI-native approach helps our security teams quickly spot and respond to real data risks, while making it easier for data owners to have full confidence in their information assets. As threats grow more sophisticated, having a partner that truly understands our data and delivers data security that can learn, adapt and protect at scale is everything we need.”
A self-aware approach to data security
Self-Aware Data Security is Forcepoint’s AI-native strategy that turns risk visibility into protection. Rather than separating discovery from enforcement, it creates a continuous, adaptive loop, analysing context, posture and intent, while discovering sensitive data, classifying it, prioritising risks, remediating exposures, and protecting information across all environments, everywhere people work today. The result is security that knows, adapts and protects automatically as data moves — for example, coaching users in real-time, adjusting access or blocking attempts to share sensitive data externally.
Powered by AI Mesh, Forcepoint delivers precise, explainable and customisable data discovery and classification, while a single-policy framework applies consistent prioritisation, remediation and protection. In this self-aware architecture, data is governed consistently at rest, in use, and in motion, closing gaps legacy tools leave behind.
“Too many DSPM products stop at reports, making databases invisible to teams,” said Naveen Palavalli, Chief Product and Marketing Officer at Forcepoint. “Forcepoint is delivering Self-Aware Data Security that gives organisations consistent visibility, access and control across both structured and unstructured data everywhere. It’s a leap forward in understanding dark data and shadow AI, ensuring compliance and unifying security that adapts as risks evolve.”
With the Forcepoint DSPM expansion, organisations can simplify security, reduce risk and cost, and accelerate AI and cloud initiatives with confidence. Leaders gain insight into where data resides, how it’s accessed and what risks it carries, all in a single, unified system. Compliance teams benefit from nearly 2,000 policy templates, automated reporting and explainable, auditable AI, making it easier to keep pace with complex regulations. Employees work without disruption, knowing sensitive information is protected wherever it moves.
How Forcepoint DSPM closes gaps in controlling AI and data risk:
- Structured data discovery and classification. Extends Forcepoint’s industry-leading discovery and classification to Microsoft SQL, Oracle, MySQL and other enterprise databases and data lakes like Databricks and Snowflake, unifying risk management across structured and unstructured data.
- Precise enforcement and remediation at scale. Beyond visibility, admins can adjust file permissions, prevent oversharing, move sensitive files to secure repositories, or clean up redundant, outdated or trivial (ROT) data. Integration with a single-policy framework applies controls across SaaS, email, websites, networks, endpoints, clouds and AI workflows.
- Enterprise-ready compliance. AI Mesh delivers more accurate, customisable and explainable classification than generic LLM tools. Integration between policy templates, automated reporting and transparent AI logic streamlines compliance and audit readiness while reducing false positives.
- Executive risk visibility. Dashboards surface high-level trends in regulated data exposure, helping leaders prioritise mitigation with less overhead.
- Financial-impact estimates. An industry-first capability estimates breach or compliance costs, helping leaders prioritise remediation and data access governance.
Forcepoint AWARE 2025, Oct. 7-8
Forcepoint’s premier AI data security user conference is a two-day virtual summit providing actionable strategies to safely adopt AI innovations. With high-profile speakers, a dynamic agenda and tailored breakout sessions, attendees will explore how to control AI workflows, simplify compliance, and transform security into a competitive advantage. Register today to attend live or access content on-demand.
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