Founder-led privacy advisoryPrivacy governance, structured for decisions that need evidence.
Data>Nuance supports privacy, DPO, data governance, cross-border data flow, incident readiness, and AI governance work for teams that need clear operating steps rather than generic compliance advice.
Founder authority
Legal, privacy, and technical judgment in one advisory model.
The full founder profile is kept below the first viewport so the homepage opens calmly, then gives buyers the credibility context they need before making contact.
Founder profile
Kaustubh Shakkarwar, Founder of Data>Nuance
Kaustubh Shakkarwar is a technology-focused legal professional specializing in data protection, privacy, and emerging regulatory frameworks. As a Certified Data Protection Officer (CDPO), he brings a strong, practice-oriented understanding of global privacy laws, including GDPR, PDPL, and CCPA.
With a master's degree in law and a background in engineering that bridges both legal and technological domains, Kaustubh has developed deep expertise in advising organizations on data governance, compliance strategy, cross-border data flows, and privacy risk management.
His work extends beyond traditional legal advisory into building scalable, tech-enabled privacy solutions through Data>Nuance, where he provides outsourced DPO support, compliance assessments, and AI governance frameworks.
Services
Focused support for the privacy work teams actually have to finish.
Start with a defined risk question or combine services into an operating rhythm for privacy office support.
Virtual DPO and Privacy Office
Ongoing privacy leadership for organizations that need DPO-level judgment without adding a full-time role.
- Governance calendar
- Board-ready privacy updates
- Practical escalation paths
Data Protection Implementation
Turn privacy obligations into usable policies, records, DPIAs, vendor checks, and operating routines.
- Processing records
- DPIA support
- Policy and notice review
DSAR and Rights Response
Create a calmer, repeatable process for access, correction, deletion, and objection requests.
- Request triage
- Response templates
- Deadline control
Incident Readiness
Prepare teams to assess, document, escalate, and communicate privacy incidents with confidence.
- Breach playbooks
- Regulator-ready records
- Decision logs
AI Governance
Assess AI use cases through privacy, fairness, accountability, and vendor-risk lenses before launch.
- AI risk intake
- Model/vendor review
- Governance workflows
Training and Advisory
Focused sessions for teams that handle personal data, approve new tools, or respond to customer questions.
- Role-based training
- Leadership briefings
- Product and security support
Resources
Checklists and case studies stay visible because they help teams prepare.
Use the resources to shape better questions before a call, a DPIA, a DSAR escalation, a vendor review, or an incident decision.
How we work
A calmer operating model for privacy risk.
The work is deliberately practical: identify the processing, clarify the obligation, decide the control, and leave a record that can be reused.
Map the data, systems, vendors, and decisions that create privacy risk.
Prioritize obligations by risk, business impact, and operational effort.
Build routines your teams can actually run after the first engagement.
Founder briefing
How Data>Nuance approaches privacy operations
A concise introduction to the advisory style: practical, evidence-led, and focused on the decisions privacy, legal, security, and product teams need to make.
Insights
Risk briefings for decisions already moving.
Short, practical reading for product, privacy, legal, and security teams before they document the next step.
Start with context
Book a focused consultation, or send the privacy brief.
Bring the privacy question, upcoming launch, audit pressure, DSAR backlog, incident readiness issue, or AI use case. Data>Nuance will help clarify whether the right next step is advisory, implementation, or ongoing support.
Calendly remains the fastest path. The form is available for structured inbound requests.
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