Home/Services/Privacy by Design Services
Privacy by Design Center of Excellence

Privacy by Design Services

End-to-end Privacy by Design services for cloud, hybrid, on-premises, digital platforms, and AI-driven products, covering strategy, implementation, audit, managed operations, and product assurance.

Service Overview

Make privacy a measurable system property.

Privacy should be designed into collection, use, sharing, storage, access, retention, deletion, and product behavior from the earliest stage - supported by technical and organizational controls and evidence.

Official PbD proposition: Karsa's dedicated PbD site describes an integrated offering across consulting, SDLC and operations implementation, audit, PbD as a Service, PbD Trustmark, and PbD for AI, using an Assess → Design → Implement → Verify → Sustain methodology.
Scope of Services

What we can deliver.

PbD Strategy & Roadmap

Define a practical operating model aligned with PDP obligations and enterprise governance.

  • PbD policy and standard
  • ROPA and data-flow mapping
  • DPIA and LIA facilitation
  • Vendor and cross-border readiness
  • Prioritized quick wins and structural roadmap

Controls in SDLC & Operations

Embed privacy into product delivery, architecture, and daily operations.

  • Consent and preference design
  • Data minimization and retention
  • Logging and access governance
  • Privacy-enhancing technologies
  • Secure-by-design alignment
  • Waterfall, Agile, and DevSecOps gates

PbD Audit & Assurance

Assess design adequacy and operating effectiveness using evidence.

  • Gap analysis and risk heatmap
  • Evidence review and sampling
  • Control testing and findings
  • Corrective action plan
  • Remediation validation and re-test

Privacy by Design as a Service

Provide ongoing support for BAU, SDLC, and AI change.

  • Intake triage and design review queue
  • DPIA and AI impact assessment support
  • Privacy requirements and acceptance criteria
  • Evidence maintenance and monthly metrics
  • Change triggers and release support

PbD Trustmark

Assess a defined product/version and issue a Karsa certification mark.

  • Scope definition for product and version
  • Evidence-based assessment
  • Remediation and re-test
  • Trustmark issuance and usage pack
  • Time-bound validity and reassessment triggers

PbD for AI Systems

Address privacy risks created by data, models, prompts, outputs, and automated decisions.

  • Dataset inventory, lineage, legality, minimization, and retention
  • PII detection and redaction
  • Prompt and response logging governance
  • Access segregation, output filters, and human review
  • AI impact assessment, explainability, and traceability
Typical Deliverables

Practical outputs your teams can use.

  • PbD baseline assessment across governance, data lifecycle, architecture, and operations
  • PbD policy, standard, controls catalog, and checklist
  • Prioritized controls roadmap with quick wins and structural actions
  • ROPA and product/system data-flow diagrams
  • DPIA, LIA, AI impact assessment, and risk register
  • Privacy requirements, user stories, acceptance criteria, and Definition of Done checks
  • Architecture blueprint and technical privacy controls
  • Consent and preference requirements
  • Data minimization, retention, deletion, access, and logging requirements
  • Operational SOPs for retention, access, incidents, vendors, and change
  • Evidence pack for auditability and accountability
  • PbD audit report, control-test results, findings, and corrective action plan
  • PbDaaS intake, review, metrics, evidence, and governance workflows
  • Trustmark scope, assessment report, remediation results, issuance, and usage pack
Delivery Method

A structured path from risk to control.

Step 01

Assess

Baseline governance, data flows, architecture, controls, gaps, risks, and priorities.

Step 02

Design

Map controls to the data lifecycle and SDLC/AI lifecycle; define requirements and SOP blueprint.

Step 03

Implement

Build controls into requirements, design, development, testing, release, configurations, and operations.

Step 04

Verify

Review evidence, sample and test controls, record findings, and evaluate readiness for assurance or Trustmark.

Step 05

Sustain

Operate PbDaaS rhythms, metrics, review queues, change triggers, reassessments, and renewals.

Step 06

Improve

Use findings, incidents, user feedback, changes, and metrics to strengthen privacy continuously.

Engagement Options

Select the model that fits your maturity and timeline.

Frequently Asked Questions

Common questions.

Scope, duration, and exact artifacts are finalized during initiation based on your organization, systems, and risk profile.

PbDaaS is a managed service that embeds privacy design controls into delivery cycles and AI system implementation through intake triage, design reviews, DPIA/AIIA support, evidence maintenance, and metrics.
Privacy requirements are translated into user stories and acceptance criteria, added to the Definition of Done, and reviewed when sprint changes affect personal data.
Phase gates and sign-offs are applied across requirements, design, build, test, and release, with checkpoints for data flows, retention, access, sharing, logging, and evidence.
No. It is a Karsa-issued product-level certification mark based on evidence for a defined scope and version. It does not represent regulator or government endorsement.
Major releases affecting personal-data flows, new integrations or sharing, changes in data categories, retention or access, and AI model changes affecting inputs, outputs, logging, monitoring, or access boundaries.
Architecture and data-flow diagrams, SDLC artifacts, SOPs, access/logging/retention configurations, vendor or processor evidence, and samples of operational records.
Related Services

Build an integrated trust program.

PDP Program

Connect product-level PbD with enterprise privacy governance, rights, incidents, vendors, and DPO operations.

GovernanceDPOaaSLifecycle
Explore service →

AI GRC

Integrate privacy impact with AI governance, security, risk classification, red teaming, and lifecycle control.

AIIAAI securityGovernance
Explore service →

Secure by Design

Align PbD with architecture, cloud, IAM, logging, DevSecOps, testing, and resilience.

ArchitectureCloudDevSecOps
Explore service →

Start with a focused consultation.

Describe your objectives, regulatory drivers, systems, and desired timeline. Karsa will propose a fit-for-purpose scope.

Contact Karsa →