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01Practice

Data security services: discovery, protection and access governance

Data discovery and classification, loss prevention, encryption and key management, database and backup security, and access governance. Protection that follows the data itself.

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Name
Data Security
Line
01 · Cybersecurity
Type
Practice, engaged on its own or within a program

01The problem

Data sprawls faster than controls.

Sensitive data replicates into SaaS tools, analytics platforms, shared drives, exports and backups, far beyond the systems it was designed to live in. Many organizations cannot answer the first question regulators and customers ask after an incident: what data was there?

Effective data security starts with visibility, applies protection proportionate to sensitivity, and governs access continuously, because perimeter controls mean little once the data has left the perimeter.

Breach impact is a data question
The severity of any incident is decided by what data was reachable. Minimizing and protecting sensitive data caps your worst-case scenario.
Regulation follows the data
GDPR, HIPAA, PCI DSS, the DPDP Act and sector rules attach obligations to personal and regulated data wherever it flows. Discovery and classification are the foundation of defensible compliance.
Insiders and errors count too
Much data exposure is not a sophisticated attack. It is a misdirected share, an open bucket, an over-broad export. Guardrails catch what good intent cannot.

02Scope

What data security covers.

  • Data Discovery & Classification

    Finding and labeling sensitive data across databases, file stores, SaaS and cloud. The map everything else depends on.

  • Data Loss Prevention (DLP)

    Policy design and tuning across email, endpoint and cloud channels. Targeted rules that catch exfiltration without flooding admins.

  • Encryption & Key Management

    Encryption architecture at rest and in transit, and the key management discipline that makes it meaningful.

  • Database Security

    Hardening, access review, activity monitoring and least privilege for the systems holding your crown jewels.

  • Backup Security

    Immutability, isolation and restore testing, because ransomware operators go after backups early.

  • Data Access Governance

    Who can access what, reviewed on a cadence: entitlement mapping, remediation and recertification for data stores.

  • Privacy & Security Assessments

    Data-flow mapping, privacy impact assessments and reviews of personal data handling aligned to GDPR, the DPDP Act and comparable laws.

03Approach

How a data security engagement runs.

  1. Discover

    Automated and manual discovery of sensitive data across the estate, including the copies nobody remembers.

  2. Classify

    A classification scheme simple enough to use: three or four levels, clear handling rules.

  3. Protect

    Controls proportionate to sensitivity: encryption, DLP, access restriction, minimization and retention. Our cloud and development teams can implement the changes in platforms and applications.

  4. Govern

    Ownership, reviews and lifecycle rules so protection persists as data moves and grows.

04Deliverables

Data security deliverables.

  • Sensitive data inventory and flow maps
  • Classification scheme and handling standards
  • DLP policy set with tuning baseline
  • Encryption and key management architecture
  • Backup resilience assessment
  • Data access review process and findings

When this work fits

  • Organizations subject to GDPR, HIPAA, PCI DSS, the DPDP Act or sector data rules
  • Companies handling financial, health or customer PII at scale
  • Teams that cannot currently answer "where is our sensitive data?"
  • Organizations hardening against ransomware and data extortion

05Questions

Data security: questions we are asked

No. Start with discovery and classification. Many controls (access restriction, minimization, native platform DLP in Microsoft 365 or Google Workspace) deliver value before any dedicated tooling purchase.

Badly tuned DLP is disruptive. That is why we start in monitor-only mode, tune against real traffic, and enforce narrowly on high-confidence policies. Users should rarely notice it.

Yes. Our incident response practice handles the investigation, and data security work then closes the structural gaps that allowed the exposure.

Often alongside

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