Data, AI & Quantum Security
Governed data and secure AI, ready for a quantum future.
Process
Data protection lifecycle
01
Discover
Inventory and classify sensitive data across systems.
02
Govern
Define ownership, policies and data quality rules.
03
Protect
Encryption, tokenization, masking, data access governance.
04
Monitor
Usage analytics, DLP, anomaly detection and audits.
Foundation
Data governance foundations
- Business glossaries, data catalogs and lineage
- Data stewards and data owners defined per domain
- Access requests, approvals and recertification workflows
- Regulatory mapping for DPDP, GDPR and other privacy laws
AI Security
Secure AI lifecycle
- Secure data pipelines for training and inference
- Guardrails for prompts, outputs and model usage
- Model governance — approvals, versioning, risk classification
- Monitoring for data leakage, prompt injection and abuse
Future-Ready
Quantum-safe & crypto agility
- Assess cryptographic inventory and quantum-vulnerable algorithms
- Define crypto-agility patterns for applications and services
- Plan adoption of post-quantum cryptography where feasible
- Balance performance, interoperability and regulatory expectations