Seclore launches ARMOR DSPM to strengthen data security in the AI era

MUMBAI: As enterprises rush to embed artificial intelligence into everyday workflows, Seclore is betting that the real battleground will be data itself.

Data security intelligence company Seclore has launched ARMOR DSPM, a new capability within its ARMOR platform designed to help organisations discover, understand and protect sensitive data across enterprise and AI environments, according to a company statement.

The solution arrives at a time when security teams are grappling with a fast-expanding challenge: identifying what sensitive data exists across systems, where it resides, who can access it and whether it is adequately protected before being consumed by AI applications and agents.

Unlike conventional Data Security Posture Management tools that focus primarily on discovery, ARMOR DSPM aims to go a step further by combining data discovery with contextual intelligence and risk-driven remediation. The platform prioritises findings based on business impact, helping security teams focus on the most critical exposures rather than overwhelming them with alerts.

At the core of the system is Seclore’s “Semantic Triad” approach, which evaluates data across three dimensions: content, context and intent. This enables the platform to understand not just what data is, but why it matters and how it is intended to be used within the business.

Speaking on the launch, seclore chief executive officer Vishal Gauri said traditional security approaches are not sufficient in an AI-first environment where data is constantly being accessed by both humans and machines.

“Every organisation is racing to put AI to work on its data. What they’ll learn quickly is that an AI agent is only as safe as the context around the data it touches,” Gauri.

He added that ARMOR DSPM is designed to establish context, ownership and intent at the source, enabling what he described as “agentic AI adoption” where data itself governs how it can be used across systems.

The platform is designed to automatically begin discovery and classification once data repositories are connected, reducing the need for manual rule creation or long configuration cycles. It also aims to reduce false positives by interpreting business meaning rather than relying solely on pattern matching.

ARMOR DSPM is positioned as part of a broader shift towards AI-ready security frameworks, where organisations can identify sensitive data before it is accessed by AI copilots, agents and enterprise workflows.

The system can integrate with existing security, privacy and compliance tools or operate within the wider ARMOR ecosystem to enable automated classification, monitoring and audit readiness. It is also built to support regulated environments, including deployments on AWS and Google Cloud Platform, with data sovereignty considerations across multiple jurisdictions.

By combining discovery, contextual understanding and remediation, Seclore is positioning ARMOR DSPM as a foundational layer for enterprise AI adoption, where data governance becomes central to how organisations safely scale artificial intelligence.