Whitepaper

Agentic DSPM & Data Sovereignty

Continuous, autonomous discovery and protection of sensitive data, on your terms, in your region.

Organizations no longer lose data through the firewall. They lose it through the places data actually lives: cloud object stores, SaaS suites, data warehouses, GenAI tools, and every employee’s inbox. DLP watches the exits. DSPM watches the data itself: where it is, how sensitive it is, who can reach it, and where it is dangerously exposed.

The failure mode of first-generation DSPM

First-gen DSPM tools are scanners with dashboards. A 5,000-item finding queue is not security. It is a backlog. Findings lack context, and remediation is left entirely to overwhelmed humans. The missing ingredient is reasoning and prioritization.

The Himaya model: agentic DSPM

Continuous multi-cloud discovery and classification across S3, Azure Blob, GCS, M365/Google Workspace, Databricks, Snowflake, and Salesforce, including text inside documents and images.
Region-aware, sovereignty-first classification with Gulf/MENA identifiers (Emirates ID, Saudi National ID, Iqama) and a home-region for every asset.
Compound-risk reasoning that correlates individually-tolerable facts into critical, actionable exposures.
GenAI shadow-IT discovery that surfaces who is sending organizational data to AI tools.
Cross-cloud DLP classification applied consistently across every source.
Continuous compliance evidence mapped to SAMA, NCA, NESA, CBUAE, NIST CSF, HIPAA, SOC 2, and CCPA.

Data sovereignty as the organizing principle

In the GCC, sovereignty is non-negotiable: banking, government, and energy mandate in-country residency. Himaya deploys in-region so regulated data, and the AI processing it, never leaves the jurisdiction, and continuously proves it by flagging any asset or access that crosses a sovereign boundary. In the US and globally, the same model delivers provable data locality and blast-radius control.

From findings to outcomes

The agentic loop: discover and classify, contextualize with sensitivity and jurisdiction, correlate into prioritized risks, recommend and drive remediation, prove compliance, and learn from analyst decisions. This closes the loop first-gen tools leave open: the difference between knowing about risk and reducing it.