Data Security

Know where sensitive data lives — and control who can use it

Protect sensitive and regulated data through discovery, classification, encryption, tokenisation and access control.

The problem

Why this matters

Sensitive data spreads into analytics platforms, test environments, logs and SaaS tools faster than controls can follow. Data-protection regulations, including India’s DPDP Act and the GDPR, require organisations to demonstrate purpose limitation, minimisation and appropriate safeguards.

Common challenges

  • Personal data copied into non-production and analytics environments
  • Encryption deployed without sound key management
  • Inconsistent classification across teams and systems
  • Difficulty honouring retention and erasure obligations

Our approach

How we work

  1. Discover & classify

    Locate sensitive data across stores and pipelines and agree a classification scheme.

  2. Minimise

    Remove unnecessary copies and apply masking or tokenisation where full data is not needed.

  3. Protect

    Apply encryption, key management and fine-grained access control by classification.

  4. Evidence

    Implement audit trails, retention controls and reporting for privacy obligations.

Capabilities

What our data security work covers

  • 01

    Data discovery & classification

    Automated and manual discovery across databases, object storage and SaaS.

  • 02

    Encryption & key management

    Envelope encryption, HSM/KMS integration and key rotation design.

  • 03

    Tokenisation & masking

    Format-preserving tokenisation and masking for testing and analytics.

  • 04

    Data access governance

    Attribute- and purpose-based access policies with audit trails.

  • 05

    Privacy engineering

    Consent, retention and erasure workflows built into systems.

  • 06

    Data loss prevention

    DLP policy design tuned to minimise false positives.

Engagement

Deliverables and benefits

What you receive

  • Sensitive data inventory and data-flow maps
  • Encryption and key management architecture
  • Data protection control matrix mapped to regulations
  • Retention and erasure implementation plan

What it changes

  • Smaller blast radius if a system is compromised
  • Demonstrable compliance with data-protection obligations
  • Safe use of data for analytics and AI

Standards & technology

  • AWS KMS
  • Azure Key Vault
  • HashiCorp Vault
  • HSMs
  • Apache Ranger
  • Microsoft Purview

FAQ

Frequently asked questions

Can you help with DPDP Act readiness?

We help engineer the technical controls the Act expects — data inventories, consent records, security safeguards and erasure workflows. Legal interpretation should come from your counsel.

Discuss your data security requirements

Let’s discuss it. Tell us what you are working on and an engineer — not a sales script — will respond.