Forcepoint, the global data security leader, has officially announced the expansion of its Self-Aware Data Security platform, which is purpose-built to protect enterprise databases and structured data sources.
According to certain reports, the stated innovation makes Forcepoint the first player ever to extend AI Mesh Data Classification technology across both structured and unstructured data throughout the hybrid enterprise. This it has done for the purpose of delivering unified Data Security Posture Management (DSPM) and adaptive data loss prevention in a single platform.
To understand the significance of such a development, we must take into account a fact that, even though enterprises are actively looking to accelerate SaaS, cloud, and AI adoption, structured data remains a critical blind spot to this day
Now, specialized databases and data lakes do house customer records, financial assets, and intellectual property, but despite that being the case, they have repeatedly shown to lack consistent visibility and policy enforcement with files, emails, and SaaS apps.
Against that, Forcepoint brings forth a mechanism capable of helping organizations discover, classify and remediate risks in real time with a single-policy framework.
More on the same would reveal how, by leveraging Forcepoint DSPM, enterprises and government agencies can seamlessly classify regulated and proprietary information across databases, data lakes, and files, track its movement, as well as apply safeguards in real time, doing it all using a Self-Aware Data Security approach.
“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 organizations 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.”
Expanding upon Forcepoint’s Self-Aware Data Security approach, it is essentially an AI-native strategy that turns risk visibility into protection. You see, instead of separating discovery from enforcement, the strategy effectively creates a continuous, adaptive loop. This involves analyzing context, posture, and intent, along with discovering sensitive data, classifying it, prioritizing risks, remediating exposures, and protecting information across all environments.
Such a mechanism, like you can guess, births a security archetype well-equipped to evolve with time.
Talk about the whole value proposition on a slightly deeper level, we begin from the promise of structured data discovery and classification. The new solution essentially expands Forcepoint’s industry-leading discovery and classification to Microsoft SQL, Oracle, MySQL and other enterprise databases, as well as data lakes like Databricks and Snowflake, eventually unifying risk management across structured and unstructured data.
Next up, there is potential for precise enforcement and remediation at scale. Basically, admins can come expecting to adjust file permissions, prevent oversharing, move sensitive files to secure repositories, or clean up redundant, outdated or trivial (ROT) data. Not just that, with a single-policy framework, the underlying technology also applies controls across SaaS, email, websites, networks, endpoints, clouds, and AI workflows.
Hold on, we still have a few bits left to unpack, considering we haven’t yet touched upon the access to enterprise-ready compliance. In essence, having AI Mesh in the mix allows users to achieve accurate, customizable and explainable classification, whereas on the other hand, integration between policy templates, automated reporting and transparent AI logic streamlines compliance and audit readiness.
We also haven’t touched upon the focus on providing executive risk visibility, delivered on the back of dashboards that surface high-level trends in regulated data exposure to help leaders prioritize mitigation with less overhead.
Rounding up highlights would be a facility dedicated towards sharing financial impact estimates. These estimates include breach or compliance costs, guiding leaders in their pursuit of prioritizing remediation and data access governance.
“Looking after our customers has always been our top priority—and Forcepoint looks after us the same way,” 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.”
