
Comprehensive data protection strategies to safeguard sensitive information and maintain customer trust.
Regulatory frameworks are tightening globally — GDPR, India's DPDP Act, CCPA, HIPAA, and the emerging patchwork of national privacy laws create a complex, overlapping compliance landscape that demands more than policy documents and annual audits. Organizations that treat privacy as a legal obligation rather than a strategic capability are perpetually reactive — responding to breaches, regulators, and litigation rather than building trust with customers and partners.
Vimix's Privacy & Data Protection practice helps organizations design, implement, and operationalize privacy programs that are technically rigorous, legally defensible, and business-enabling. We combine deep regulatory expertise with hands-on data engineering and security capabilities to deliver privacy-by-design across your entire data estate — from cloud infrastructure and SaaS applications to AI pipelines and third-party data flows.

Total GDPR fines issued in 2023 alone — a 168% increase year-on-year, with enforcement accelerating across all EU member states and the UK.
Of consumers say they would stop engaging with a brand following a data breach — making privacy a direct driver of customer retention and revenue, not just compliance.
Maximum penalty under India's DPDP Act 2023 for significant personal data breaches — with the Data Protection Board empowered to impose fines per violation.
We deliver end-to-end privacy and data protection capabilities — spanning regulatory compliance, technical controls, data governance, and incident response — tailored to your industry, data footprint, and risk profile.
We design and implement structured privacy programmes aligned to GDPR, India's DPDP Act, CCPA/CPRA, HIPAA, and other applicable frameworks. This includes Records of Processing Activities (RoPA), Data Protection Impact Assessments (DPIAs), privacy notices, consent management architecture, data subject rights workflows, and the governance structures — including DPO support — required to sustain compliance over time.
You cannot protect what you cannot see. We deploy automated data discovery and classification tooling (Microsoft Purview, BigID, Varonis, Collibra) to map your entire data estate — structured and unstructured, on-premises and cloud — identifying where personal data lives, how it flows, who has access, and where it crosses jurisdictional boundaries. The output is a living data inventory that underpins every downstream privacy control.
We embed privacy controls at the architecture level — not as a retrofit. This includes data minimisation and purpose limitation by design, pseudonymisation and anonymisation pipelines, encryption-at-rest and in-transit with key management, tokenisation for sensitive identifiers, and privacy-preserving analytics using differential privacy and federated learning techniques for organisations with advanced data science programmes.
Third parties are the most common source of privacy failures. We implement vendor privacy risk assessment frameworks, Data Processing Agreement (DPA) review and negotiation support, sub-processor management programmes, and continuous monitoring of third-party data handling practices — ensuring your privacy posture is not undermined by the organisations you share data with.
Operationalising data subject rights — access, erasure, rectification, portability, and objection — at enterprise scale requires more than a webform. We design and implement automated DSR fulfilment workflows integrated with your CRM, data warehouse, and cloud storage, alongside consent management platforms (OneTrust, TrustArc, Cookiebot) that capture, store, and honour consent preferences across every customer touchpoint.
When a personal data breach occurs, regulatory clocks start immediately — 72 hours under GDPR, varying windows under DPDP, HIPAA, and state breach notification laws. We provide breach response retainer services covering breach scope determination, affected individual assessment, regulatory notification drafting and filing, communication strategy, and post-breach remediation — ensuring your response is measured, legally defensible, and minimises regulatory exposure.
Our privacy engagements follow a structured methodology that delivers measurable compliance and risk reduction at every phase — from initial data discovery through to continuous programme governance.
Automated data discovery across your entire estate using Microsoft Purview, BigID, and Varonis. We map personal data flows, identify cross-border transfers, and produce a risk-scored data inventory that forms the foundation of your privacy programme.
Regulatory gap assessment against GDPR, DPDP Act, CCPA/CPRA, HIPAA, and applicable frameworks. We produce a prioritised remediation roadmap with clear ownership, timelines, and effort estimates — aligned to your risk tolerance and regulatory deadlines.
Privacy-by-design architecture, technical control implementation, consent management platform deployment, DSR workflow automation, and DPA/vendor contract review — delivered in phased sprints with measurable milestones.
Ongoing programme governance: RoPA maintenance, DPIA scheduling, privacy training, third-party monitoring, and regular privacy health assessments — keeping your programme current as regulations evolve and your data estate grows.
Breach response activation, regulatory notification support, lessons-learned integration, and continuous improvement cycles driven by privacy metrics, audit findings, and regulatory developments.
What we cover
Technical and operational controls across the full privacy lifecycle.
Comprehensive automated discovery of personal data across structured databases, unstructured file stores, SaaS applications, and cloud environments — using Microsoft Purview, BigID, Varonis, and Collibra. We classify data by sensitivity, regulatory category, and jurisdictional scope, producing a living data inventory and flow map that underpins every downstream privacy control. Cross-border transfer identification and Standard Contractual Clause (SCC) gap analysis included as standard.
End-to-end compliance programme design and implementation for GDPR and India's Digital Personal Data Protection Act — including RoPA, DPIAs, consent architecture, and DPO support.
Technical implementation of pseudonymisation, tokenisation, k-anonymity, and differential privacy to reduce re-identification risk while preserving data utility for analytics.
Vendor privacy risk assessments, DPA review and negotiation, sub-processor management, and continuous third-party data handling monitoring.
Automated data subject rights fulfilment workflows and consent management platform deployment — OneTrust, TrustArc, Cookiebot — integrated with your CRM and data infrastructure.
Retainer-based breach response: scope determination, regulatory notification drafting (72-hour GDPR, DPDP, HIPAA), communication strategy, and post-breach remediation.
Transfer Impact Assessments (TIAs), Standard Contractual Clauses (SCCs), Binding Corporate Rules (BCRs), and adequacy decision monitoring for international data flows.
Privacy-preserving analytics using differential privacy and federated learning. DPIA for AI systems, training data privacy review, and output anonymisation controls.
All services delivered through a single pane of glass with unified reporting and alerting
Why organisations choose a dedicated privacy practice over relying on legal counsel or generic compliance tools alone.
| Capability | Vimix Privacy Practice | Legal-Only / Tool-Only Approach |
|---|---|---|
| Data discovery | Automated discovery across cloud, on-prem, and SaaS using Purview, BigID, Varonis — complete visibility | Manual spreadsheet inventories — incomplete, outdated, and unscalable |
| Technical controls | Privacy-by-design architecture, pseudonymisation, tokenisation, and encryption implemented by engineers | Policies written — controls not implemented at the technical layer |
| DSR fulfilment | Automated workflows integrated with CRM, data warehouse, and cloud storage — fulfilled within regulatory deadlines | Manual, error-prone processes that frequently miss response windows |
| Vendor risk | Structured vendor privacy risk assessments, DPA review, and continuous sub-processor monitoring | DPAs signed but vendor data handling never validated |
| Breach response | Retainer-based response team — breach scoped, notified, and remediated within regulatory windows | Ad-hoc response — legal engaged after the fact, notification deadlines missed |
| AI & analytics privacy | Differential privacy, federated learning, DPIA for AI systems, and training data privacy controls | No privacy controls at the model or analytics layer |
| Regulatory currency | Continuous monitoring of GDPR, DPDP Act, CCPA, HIPAA, and emerging regulations — programme updated proactively | Annual review cycle — programme lags regulatory developments by months |
Privacy programmes built as retrofits fail — technically, operationally, and under regulatory scrutiny. Vimix designs privacy into your data architecture, your processes, and your culture from the ground up. Schedule a 45-minute Privacy Maturity Assessment with our team.
The GDPR (EU General Data Protection Regulation) and India's Digital Personal Data Protection Act 2023 share core principles — lawful basis for processing, data subject rights, breach notification, and accountability — but differ significantly in scope, enforcement mechanisms, and specific obligations. The DPDP Act applies to digital personal data processed in India or data processed outside India in connection with offering goods or services to individuals in India. Key differences include the DPDP Act's consent-first model, its approach to children's data, the role of the Data Protection Board, and its cross-border transfer framework. We help organisations navigate both frameworks and implement controls that satisfy both simultaneously where applicable.
Our data discovery and classification toolkit includes Microsoft Purview for Microsoft 365 and Azure environments, BigID for enterprise-wide structured and unstructured data discovery, Varonis for file system and collaboration platform analysis, and Collibra for data governance and cataloguing. Tool selection is adapted to your existing infrastructure — we work with your current stack where possible and recommend additional tooling only where genuine gaps exist.
A DPIA is a structured risk assessment required under GDPR (Article 35) and similar frameworks when processing is likely to result in a high risk to individuals — including large-scale processing of sensitive data, systematic monitoring, and automated decision-making with significant effects. We conduct DPIAs as standalone assessments or as part of broader programme work, producing documented risk assessments with mitigation measures that satisfy regulatory requirements and demonstrate accountability.
Cross-border transfers require a valid transfer mechanism — adequacy decision, Standard Contractual Clauses (SCCs), Binding Corporate Rules (BCRs), or derogations. We conduct Transfer Impact Assessments (TIAs) to evaluate the legal and practical protections in destination countries, implement appropriate SCCs and supplementary measures, and monitor adequacy decisions and regulatory developments that may affect your transfer arrangements. This is particularly critical for organisations transferring data between the EU, UK, India, and the US.
Our breach response retainer provides guaranteed response SLAs, pre-breach onboarding so our team understands your data estate before an incident occurs, and end-to-end breach response covering: breach scope and affected individual determination, regulatory notification drafting and filing (72-hour GDPR, DPDP Act, HIPAA, and state breach notification laws), communication strategy for affected individuals, media and stakeholder management support, and post-breach remediation planning.
AI systems introduce privacy risks that traditional controls do not address — training data containing personal information, model outputs that reveal individual data, and inference attacks that extract sensitive information from model behaviour. We conduct DPIAs for AI systems, review training data for PII and sensitive data exposure, implement differential privacy and federated learning where appropriate, design output anonymisation controls, and ensure AI systems comply with the automated decision-making provisions of GDPR (Article 22) and equivalent frameworks.
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