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ARMOR DSPM operates on three layers of context simultaneously, and acts on all three.

Pattern Matching

Regex-based discovery. Right for its era, but a phone number looks like a credit card to a regex engine. High false-positive rates overwhelm security teams with noise instead of insight.

Trainable Classifiers

Machine learning trained on enterprise data. Better accuracy in narrow contexts, but time-to-value is measured in quarters. These tools require 500,000+ documents per classifier, and initial accuracy improves only after repeated retraining cycles.

LLM-Based

General-purpose AI that understands data in context. A genuine step forward, but most Gen 3 vendors are cloud-only, creating data sovereignty exposure, and none of them own a native remediation layer. Discovery without action is a longer list of problems, not a security program.

Each DSPM generation solved discovery and stopped at the alert. The data map keeps getting sharper. The control plane is still missing, and AI just made the exposure surface unrecognizable. ARMOR was built to be that control plane.

Learn more: DSPM: All Discovery, No Action โ€” why most DSPM tools stop at detection. Also see: Three Generations of DSPM for the full evolution from pattern matching to LLM-based discovery.

Layer 1: Data Context

What the data itself is. ARMOR DSPM uses the Semantic Triad (Content + Context + Intent) to understand what a document means, not just what it contains. Self-hosted AI model runs entirely within a secure cloud environment. No external API calls. No sensitive data retention.

Layer 2: Enterprise Context

Who you are as an organization. Behavioral history, risk scoring, organizational structure, and EDRM audit trails turn a data signal into a business risk signal. Security leaders can communicate impact in language the board understands, prioritize remediation by actual business exposure, and make faster decisions about what to protect first.

Layer 3: Regulatory Context

The regulatory framework governing the data. GDPR, DPDP Act, NIS2, etc. ARMOR DSPM automatically identifies which regulations apply based on data type, jurisdiction, and sensitivity, then enforces the required controls and generates the audit evidence a regulator needs. Not compliance posture, but proof of compliance.

Unlike point-in-time scans, ARMOR DSPM establishes a living understanding of sensitive data that evolves as data moves, changes, and is consumed by both people and AI. It continuously ingests data, analyzes content, and derives context and intent, feeding Context-Aware Intelligence so every downstream control gets smarter over time.

This is not static awareness. It is continuous understanding that compounds in value as more of ARMOR is deployed.

ARMOR DSPM transforms discovery from detection into protection that leads to security intelligence.

Traditional discovery and DSPM tools generate disconnected alerts and static inventories without a direct path to protection. You get file counts, but do not get business risk, regulatory exposure, or a path to remediation. Data cannot be confidently understood, protected, governed, or trusted for people or AI-driven workflows.

Instead of simply locating files, ARMOR DSPM:

  • Continuously ingests data across the enterprise
  • Analyzes content and derives context and intent through AI-native content analysis
  • Correlates sensitivity, business relevance, and regulatory jurisdiction across all three context layers
  • Translates data signals into prioritized business risk, so security leaders can act on impact, not volume
  • Enables direct remediation through ARMOR DAC, ARMOR EDRM, and ARMOR AI-DLP

This creates an always-current intelligence layer designed to directly inform classification, protection, and compliance capabilities within the ARMOR platform.

ARMOR DSPM is architecturally different from traditional DSPM and discovery tools.
Where earlier generations stop, ARMOR continues.

Intelligence starts here.

ARMOR DSPM derives context and intent through AI-native content analysis using the Semantic Triad: Content, Context, and Intent. Multiple models run in sequence, combining structured and unstructured analysis. No training period. AI works from day one because it was built to understand data semantics, not match patterns.

Private and sovereign-first DSPM.

ARMOR DSPM hosts its own models in a secure environment. Data never leaves the enterprise perimeter for AI processing. This is an architectural guarantee, not a promise from a third-party API provider. For enterprises operating under GDPR, DPDP Act, PDPL, and 34+ other data sovereignty mandates worldwide, this is non-negotiable.

Visibility is not control.

Discovery connects directly to Data-Aware Classification (ARMOR DAC), persistent protection (ARMOR EDRM), AI-layer enforcement (ARMOR AI-DLP), and a provable audit trail (ARMOR DSI Framework). Pure-play DSPM finds risk. ARMOR fixes it and proves it was fixed.

Install. Connect. Protect.

ARMOR DSPM delivers classification accuracy from day one. No months-long training period. No 500,000-document seeding requirement. Time-to-value measured in days, not quarters. Security leaders see business-contextualized risk within the first week, not the first quarter.

Protection begins at discovery

Detect

Continuously ingest data across enterprise environments. Identify sensitive content and derive context and intent as data evolves. No manual configuration. No pre-training.

Contextualize

Derived context and intent flow into Context-Aware Intelligence across all three layers: what the data is, what it means to the business, and which regulations govern it. Every signal makes the system smarter.

Enforce

Classification through ARMOR DAC and persistent protection through ARMOR EDRM activate automatically based on intelligence. ARMOR AI-DLP provides dynamic masking with reversible tokenization for data flowing into AI models and copilots. Protection follows the data wherever it goes.

Prove

ARMOR DSI Framework delivers the audit trail: who accessed what, when, where, and what controls were in place. Satisfy GDPR Article 30, DPDP Act breach notification obligations, and sector-specific mandates with evidence, not assertions.

Data Risk Intelligence

Maintain a continuous understanding of sensitive data exposure across the enterprise. ARMOR DSPM translates data signals into business risk so security leaders can prioritize remediation by impact, communicate exposure to the board in business terms, and make faster decisions about where to act first.

AI Readiness and Governance

Ensure data consumed by AI systems is understood, trusted, and controlled before it reaches a model or agent. ARMOR AI-DLP enforces dynamic masking inside the AI workflow itself. Organizations can embrace AI fearlessly because the data that powers AI is governed from discovery through to proof.

Regulatory Compliance at Scale

Continuously identify and prioritize regulated data based on exposure, sensitivity, and jurisdiction. ARMOR enforces the required controls and generates proof of compliance through ARMOR DSI Framework. Named regulation support includes GDPR, DPDP Act, NIS2, and sector-specific mandates. Compliance is not a sprint before audit. It is a standing capability.

Establish Data Ownership

Empower data owners with context-rich insight and accountability. Context-Aware Intelligence maps data lineage, usage, and sensitivity, giving owners the business context they need to make protection decisions, not just receive alerts.

See how ARMOR DSPM helps organizations turn data signals into business risk, enforce compliance across 34+ regulatory frameworks, and prove it to regulators and the board.