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 a few reports, Forcepoint is the first company to implement AI Mesh Data Classification technology across both structured and unstructured data in a hybrid environment. This was done with the intention of providing integrated adaptive data loss prevention and unified Data Security Posture Management (DSPM) on a single platform. We must take into account the fact that, despite enterprises' active efforts to accelerate SaaS, cloud, and AI adoption, structured data remains a critical blind spot to this day in order to comprehend the significance of this development. Despite the fact that specialized databases and data lakes contain customer records, financial assets, and intellectual property, they have repeatedly demonstrated a lack of consistent visibility and policy enforcement with SaaS apps, emails, and files. Forcepoint, on the other hand, offers a mechanism that, using a single policy framework, can assist businesses in identifying, categorizing, and mitigating risks in real time. Using Forcepoint DSPM, businesses and government agencies can seamlessly classify proprietary and regulated data across databases, data lakes, and files, track its movement, and apply safeguards in real time using a Self-Aware Data Security approach. More on this topic will follow. Naveen Palavalli, Chief Product and Marketing Officer at Forcepoint, stated, "Too many DSPM products stop at reports, making databases invisible to teams." Self-Aware Data Security from Forcepoint gives businesses consistent visibility, access, and control over all of their structured and unstructured data. It’s a leap forward in understanding dark data and shadow AI, ensuring compliance and unifying security that adapts as risks evolve.”
It is essentially an AI-native strategy that transforms risk visibility into protection, expanding upon Forcepoint's Self-Aware Data Security strategy. You see, instead of separating discovery from enforcement, the strategy effectively creates a continuous, adaptive loop. In addition to discovering sensitive data, classifying it, prioritizing risks, remediating exposures, and protecting information across all environments, this entails analyzing context, posture, and intent. As you might expect, such a mechanism produces a security model that is well-suited to change over time. When we delve a little deeper into the entire value proposition, we begin with 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, administrators can come expecting to change file permissions, prevent oversharing, move sensitive files to secure repositories, or clean up data that is redundant, out-of-date, or trivial (ROT). In addition, the underlying technology applies controls to SaaS, email, websites, networks, endpoints, clouds, and AI workflows using a single policy framework. 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, incorporating AI Mesh into the mix enables users to achieve classification that is accurate, customizable, and explainable. On the other hand, integrating policy templates, automated reporting, and transparent AI logic streamlines audit readiness and compliance. We also haven't talked about the emphasis on giving executives visibility into risk. This is done through dashboards that show 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.
Enda Kyne, Chief Technology and Operations Officer at FBD Insurance, stated that "looking after our customers has always been our top priority" and that "Forcepoint looks after us in the same way." “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. We need a partner who truly understands our data and provides data security that can learn, adapt, and protect at scale as threats become more sophisticated.
