Data Classification
Classify personal data into risk tiers using AI-powered detection. Automatically tag data as Public, Internal, Confidential, Sensitive, or Restricted based on DPDPA requirements.
Key Capabilities
What makes Kraver.ai's data classification stand out
AI/ML Engine
Deep learning models trained on Indian data patterns for precise classification
Multi-Language NLP
Classify data in Hindi, Tamil, Bengali, Marathi, and 6+ more regional languages
DPDPA Categories
Pre-built classification rules for personal, children's, and SDF data types
Human-in-the-Loop
AI suggests, your team approves — hybrid workflow for critical classifications
How It Works
Get started with data classification in four simple steps
Ingest
Pull data from discovered sources for classification analysis
Analyse
AI and rule-based engines evaluate data context and content
Classify
Assign DPDPA-compliant risk tiers with confidence scores
Review
Human reviewers validate edge cases; AI learns and improves
Why Data Classification Is Essential for DPDPA
The DPDPA treats different categories of personal data with varying levels of protection. Children's data (Section 9), Significant Data Fiduciary data, and sensitive personal data all require enhanced safeguards. Without accurate classification, you cannot apply the right controls to the right data — leading to either over-investment or non-compliance.
AI/ML-Based Classification with NLP
Kraver.ai's classification engine combines machine learning models with natural language processing to understand data context, not just patterns. Our AI reads unstructured text — emails, contracts, support tickets, documents — and classifies the personal data within them with over 95% accuracy.
DPDPA-Specific Categories
Kraver.ai classifies data into DPDPA-relevant categories out of the box:
Rule-Based Pattern Matching
Complementing our AI engine, Kraver.ai uses deterministic pattern matching for structured identifiers. Aadhaar numbers (12-digit with Verhoeff checksum), PAN card numbers (ABCDE1234F format), bank account numbers, IFSC codes, health IDs, and other Indian-specific patterns are detected with 99.9% precision.
Hybrid Workflow — AI Suggests, Humans Approve
For critical classifications, Kraver.ai operates in a hybrid mode. The AI suggests a classification and confidence score, and your data governance team reviews and approves. This ensures accuracy while dramatically reducing manual effort — typically by 80% compared to manual-only classification.
Continuous Reclassification
Data changes. Regulations evolve. Kraver.ai continuously monitors classified data and reclassifies it when context changes — new fields added, data enrichment, regulatory updates, or organisational policy changes. You never fall out of compliance due to stale classifications.
Why choose Kraver.ai for data classification?
Purpose-built for Indian data protection requirements. With 83% of organizations yet to begin end-to-end DPDP implementation, our AI-native platform reduces manual compliance effort by up to 80% while ensuring continuous, real-time coverage across all your systems.
Frequently Asked Questions
Common questions about data classification and DPDPA compliance.
Related Services
Explore other DPDPA compliance capabilities
Ready to implement data classification?
With the DPDPA compliance deadline of May 2027 approaching and penalties of up to ₹250 crore per violation, get started with Kraver.ai's AI-powered platform and achieve compliance in weeks, not months.