How does WalledAI classify data sensitivity?

WalledAI's data classification engine automatically categorises every piece of data flowing through AI interactions into sensitivity levels (Public, Internal, Confidential, Restricted). It maps to your organisation's existing taxonomy and regulatory requirements.

Platform Capability

Data Classification

Automated SensitivityTagging.

Before you can protect data, you need to know what you have. WalledAI automatically classifies your data by confidentiality level and tags it against the department that owns it - creating the foundation for intelligent governance.

Auto-ClassificationDepartment TaggingSensitivity LevelsPolicy MappingCompliance Ready

Responsible AI:Security Privacy

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Sensitivity Levels

Auto

Classification Engine

100%

Data Coverage

Real-time

Policy Enforcement

See it working with your data in 15 minutes

Sensitivity Levels

Auto

Classification Engine

100%

Data Coverage

Real-time

Policy Enforcement

Backed & Trusted By Industry Leaders

Why Classification Comes First

80%

of enterprise data is unclassified

Gartner, 2024

40%

employee self-classification error rate

Industry benchmark

Most organizations jump straight to AI security tools without understanding what data they're protecting. That's like installing a vault without knowing what goes inside it. Data classification is the foundation that makes every other governance decision intelligent.

Without Classification

✗Blanket policies that either block too much or too little
✗No visibility into what data types employees share with AI
✗Unable to prove to auditors what's protected and what isn't
✗RBAC policies based on job titles, not data sensitivity

With Manual Classification

~Employees self-classify (and get it wrong 40% of the time)
~Months-long classification projects that are outdated by completion
~Inconsistent tagging across departments
~No real-time classification of AI interactions

With WalledAI Classification

✓Automatic, real-time classification of every data point
✓Consistent sensitivity tagging across the entire organization
✓Department ownership assigned automatically
✓Classification feeds directly into guardrail policies

Confidentiality Levels

WalledAI maps your data into four confidentiality tiers. Each tier triggers different governance policies, RBAC rules, and audit requirements.

Public

Information approved for public disclosure. No restrictions on sharing.

Press releases, public product docs, marketing materials, published research

Internal

For internal use only. Could cause minor harm if disclosed externally.

Internal wikis, process documents, team communications, org charts

Confidential

Restricted access. Could cause significant harm to the organization if leaked.

Customer lists, pricing strategies, financial projections, vendor contracts

Restricted

Highest sensitivity. Legal, financial, or reputational damage if exposed.

PII/PHI, trade secrets, M&A plans, board discussions, source code, passwords

How Classification Works

Scan & Detect

WalledAI scans data in real-time as it flows through AI interactions. NER models and pattern-matching engines identify sensitive entities - names, numbers, codes, and proprietary terms - regardless of format or language.

Classify & Tag

Each detected entity is classified into a confidentiality tier based on its type, context, and organizational policies. Data is simultaneously tagged against the department that owns or should own it - creating clear accountability.

Enforce & Audit

Classification results feed directly into your governance policies. Restricted data triggers masking via Walled Redact. Misrouted data triggers alerts. Every classification decision is logged for audit compliance.

Classify data automatically - not manually

See how WalledAI's AI-native classification engine detects sensitive data in unstructured prompts that traditional DLP misses entirely.

Department-Level Ownership

Every piece of classified data is tagged against the department that owns or should own it. This creates a clear chain of data responsibility and enables granular access policies.

When a marketing team member tries to query AI about customer financial data owned by the treasury department, the classification engine knows this data doesn't belong to marketing - and enforces accordingly.

Automatic department attribution based on data patterns
Cross-department data sharing policies with approval workflows
Ownership transfer workflows with audit trails
Data residency tracking per department
Compliance mapping per data category
Real-time alerts when data crosses department boundaries
Integration with existing IAM and directory services

Auto-Tagging

Dept Ownership

Data Lineage

Multi-Level

Example: Department Map

FinanceAccount numbers, P&L, revenue projectionsRestricted

HREmployee records, salaries, performance reviewsRestricted

LegalContracts, privileged communications, litigationConfidential

MarketingCampaign data, customer segments, analyticsInternal

Customer Story

Healthcare Group Achieves PDPA Compliance Through Automated Classification

Challenge

A multi-hospital healthcare group across Southeast Asia had no systematic way to classify the sensitivity of data flowing through their AI-assisted clinical tools. PHI, administrative data, and public information were all treated equally - creating both over-restriction (blocking legitimate AI usage) and under-protection (sensitive data exposed).

Solution

Deployed WalledAI Data Classification across 12 hospitals. The system automatically classified patient records, clinical notes, administrative data, and public health information into appropriate tiers. Each hospital department was assigned ownership of their data categories.

Results

PDPA compliance audit passed with zero findings for the first time. Clinicians gained access to AI tools for non-sensitive tasks (previously blocked). Data ownership disputes between departments dropped 80%. Regulators praised the automated classification approach.

Hospitals Covered

Zero

Compliance Findings

80%

Fewer Ownership Disputes

Know your data before AI touches it

See how WalledAI automatically classifies and tags your sensitive data - request a demo to watch classification in action.

Frequently Asked Questions

Authoritative references

Primary sources behind the standards, regulations and research referenced on this page.