Data Protection
Enterprise Data Protection Framework & Implementation
Praxis-Q delivers a comprehensive data protection framework - covering data classification, encryption, access controls, data loss prevention (DLP), and privacy-by-design implementation. Aligned to GDPR, DPDP Act 2023, and ISO 27001.
At a Glance
Data Protection
Data Protection
Enterprise Data Protection Framework & Implementation
The Problem
Customer data, financial records, and email all live on systems one breach away from exposure. Most businesses do not know they are compromised until it is too late.
What We Do
- Data Discovery
- Risk Assessment
- Framework Design
- Implementation
- Report
What You Get
- Data classification and inventory
- Encryption at rest and in transit
- Data Loss Prevention (DLP) implementation
- Privacy-by-design architecture
- Access control and least-privilege review
- Data retention and deletion policies
- Sensitive data discovery and mapping
- Aligned to GDPR, DPDP, ISO 27001
Why Data Protection Matters Now
Data breaches expose customer records, financial data, and trade secrets within seconds—yet most organizations remain unaware until damage is irreversible. Regulatory frameworks like GDPR, DPDP, and ISO 27001 now impose strict penalties for inadequate data safeguards. Praxis-Q's data protection services eliminate blind spots by discovering hidden sensitive data, assessing exfiltration risks, and implementing layered defenses. Our framework covers encryption at rest and in transit, role-based access controls, and real-time data loss prevention—ensuring compliance before regulators come calling.
Our Data Protection Framework
We design and deploy a complete data protection architecture tailored to your environment. The framework includes automated data discovery and classification across databases, file shares, and cloud storage; encryption policies for sensitive assets; Data Loss Prevention (DLP) tools to detect unauthorized exfiltration; and least-privilege access controls aligned to business roles. Each layer reinforces the last—so even if one control fails, others prevent breach. Our implementation includes policy documentation, staff training, and ongoing tuning to match your risk appetite and compliance obligations.
Discovery, Assessment & Implementation
Praxis-Q follows a proven five-step process: data discovery identifies what sensitive data exists and where it lives; risk assessment reveals exposure vectors and compliance gaps; framework design creates your custom control architecture; implementation deploys encryption, DLP, and access policies; and compliance reporting documents alignment to GDPR, DPDP, and ISO 27001. Our global delivery model compresses timelines to 10-15 business days, with India-based architects and global engineers working in your timezone. You get enterprise rigor without enterprise delays.
Compliance & Privacy-by-Design
Data protection isn't just technical—it's architectural. We embed privacy controls into system design, not bolt them on later. Our approach ensures data minimization (collect only what's necessary), consent management (track user permissions), and retention policies (delete data when no longer needed). This privacy-by-design mindset aligns you with GDPR Articles 25 and 32, DPDP Schedule B, and ISO 27001 A.10 controls—reducing audit findings and regulatory risk. Praxis-Q documents your entire framework for audits, so compliance becomes demonstrable.
DLP & Sensitive Data Discovery
Data Loss Prevention (DLP) is the cornerstone of modern data protection. We assess your environment, recommend tools like Microsoft Purview, Symantec DLP, or Forcepoint, and handle end-to-end deployment. Our DLP solutions detect and block unauthorized exfiltration—whether via email, cloud uploads, or USB devices—in real time. Combined with sensitive data discovery engines, DLP identifies credit cards, PII, health records, and trade secrets hiding in unstructured data. Praxis-Q's managed tuning ensures zero false positives while catching real threats.
Related Services
Frequently Asked Questions
What is data protection vs data privacy?
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What's the difference between data protection and data privacy?
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