Seclore Launches ARMOR DSPM to Secure Data Behind AI

Enterprises racing to adopt AI face a hard question: do they actually know what sensitive data their AI systems can reach, who owns it, and whether it is protected? Seclore ARMOR DSPM was built to answer that question in hours rather than months, giving security leaders visibility, context, and remediation in one platform.

As AI agents, copilots, and enterprise AI workflows scale, the risk surface shifts from applications to the data behind them. Without contextual visibility into sensitive data — intellectual property, source code, trade secrets, regulated records — organizations risk exposing business-critical information to AI systems they do not fully govern. ARMOR DSPM closes that gap by combining data discovery with business context and remediation outcomes.

What was announced

On June 10, 2026, Seclore announced the general availability of ARMOR DSPM, a new capability within the ARMOR platform designed to help organizations discover, understand, and protect sensitive data across enterprise and AI environments.

At the core of ARMOR DSPM is Seclore's Semantic Triad approach, which evaluates data through three dimensions: Content, Context, and Intent. Instead of relying on regex and pattern matching alone, ARMOR DSPM aims to understand what the data is, why it matters to the business, and how it is intended to be used. This reduces false positives and lets security teams focus on exposures that pose real business risk — including intellectual property, source code, trade secrets, regulated records, and data used by AI systems.

The solution begins discovery and classification as soon as repositories are connected, without lengthy model training, extensive tuning cycles, or manual rule creation. Findings are automatically prioritized based on business risk and can be integrated into existing security, privacy, and compliance workflows or extended into the broader ARMOR platform for automated classification, protection, monitoring, and audit readiness.

Every organization is racing to put AI to work on its data. What they will learn quickly is that an AI agent is only as safe as the context around the data it touches. We built ARMOR DSPM to define that context, ownership, and intent at the source. That is what turns DSPM into the foundation for agentic AI adoption, where data governs how it can be used no matter who, human or agent, picks it up.

Why this matters

For CISOs, CIOs, and IT directors, ARMOR DSPM addresses a recurring DSPM problem: too many findings, not enough context. Traditional pattern-matching tools surface volumes of alerts without telling teams which exposures matter to the business. ARMOR DSPM applies contextual intelligence so security teams can prioritize the data that actually carries risk — and act on it.

For procurement leaders and compliance owners, ARMOR DSPM is designed with data sovereignty in mind. It runs in a dedicated cloud environment with no external API calls, no data passed to third-party LLMs, and no sensitive data retained — supporting operations under data sovereignty and localization mandates across 34+ countries.

Technical details

• Semantic Triad: classification based on Content, Context, and Intent.
• Time to value: discovery and classification begin as soon as repositories are connected, without model training or manual rules.
• Risk prioritization: automatic ranking of findings by business risk.
• Coverage: intellectual property, source code, trade secrets, regulated records, and data used by AI systems.
• Privacy architecture: dedicated cloud, no external API calls, no third-party LLM data sharing, no sensitive data retention.
• Deployment: available on AWS and GCP, with additional hyperscalers on the roadmap.
• Integrations: connects to security, privacy, and compliance workflows; extends into the ARMOR platform for protection, monitoring, and audit readiness.

Softprom and Seclore

Softprom is the official distributor of Seclore. Our team helps enterprise customers evaluate, deploy, and scale ARMOR DSPM and the broader ARMOR data security platform, including integration into existing SIEM, DLP, and compliance ecosystems.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.