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Data Governance Accelerator

Future-ready governance for the AI enterprise.

 
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I needed a cost-effective transaction monitoring tool which would identify high-risk transactions, flag potential control weaknesses, improve over time through machine learning, reduce the number of false positives reviewed by the compliance team and be user-friendly in terms of configuration and visualization. konaAI delivers on all counts, and I was very pleased with the choice we made.

Amay Sharma
CEO, Unblast 

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Overview

The Data Governance Accelerator combines Privacy Guardian Agent and Smart Data Governance to help enterprises build trustworthy, compliant, and AI-ready data estates.

It enables:
  • Real-time and batch anonymization and pseudonymization
  • Enterprise-wide zero-trust governance across structured and unstructured data
  • Context-aware access controls for humans, systems, and AI agents
  • Governance for vector stores, embeddings, and RAG pipelines
  • Full auditability and compliance automation across regions and regulations

In simple terms, it embeds privacy at source and enforces intelligent access at scale so you can use data faster, safer, and with complete confidence.

accelerators-key-capabilities

What does this do better than others?

Most governance tools only protect structured data and react after risk occurs. We secure the data estate + AI systems + access pathways.

This accelerator:
  • Govern unstructured + structured data (documents, emails, media, embeddings, SQL)
  • Protects data before it moves with automated anonymization
  • Zero-trust by design for both humans and AI agents
  • Graph-based policy engine for contextual decisions
  • NLP-based policy authoring for business & compliance users
  • Governed AI pipelines including RAG and vector DBs
  • Enterprise-grade audit trails for every access event
  • Pre-built compliance templates for HIPAA, GDPR, GxP
  • Competitors secure the database
Explore Real-Time Data Ingestion

How It Works

Workflow
  • Discover & classify structured + unstructured assets
  • Define policies in natural language
  • Automated privacy protection (real-time and batch)
  • Contextual access decisions (identity, role, sensitivity, device, time)
  • Enforce across all platforms (data platforms, vector stores, AI agents)
  • Continuous monitoring & audit logs
  • Policy optimization & governance insights

 

Tech stack components
Privacy Guardian Agent
  • Dataflow + Pub/Sub + DLP APIs
  • Vertex AI + Cloud Composer
  • Multi-region compliance templates (HIPAA, GDPR, GxP)
Smart Data Governance
  • Graph-based policy engine
  • ABAC + ReBAC enforcement
  • Connectors: Unity Catalog, Dataplex, Purview, Pinecone, Vertex Vector Search
  • Audit & observability layer
  • Governance APIs for SaaS embedding
Why-It-Unique

Where can this be used?

  • Cloud migration for regulated workloads
  • AI/ML deployment with protected data
  • Governing LLMs, RAG, agents & embeddings
  • PHI/PII masking for healthcare and BFSI
  • Cross-region regulatory compliance
  • Data sharing with partners and vendors
  • Secure data democratization and self-service analytics
Frame 20

Business benefit of using this

Benefit
  • Risk reduction
  • Compliance efficiency
  • AI acceleration
  • Audit readiness
  • Cost control
  • Trust & adoption
Value Delivered
  • Eliminates shadow data & shadow AI risk
  • 40% reduction in regulatory operations cost
  • 3x faster time to insight from governed data
  • Real-time evidence & traceability
  • Reduced tool fragmentation & manual governance tasks
  • Higher stakeholder confidence in AI and cloud
Additional advantages:
  • Eliminates shadow data & shadow AI risk
  • Enables secure data sharing without exposure
  • Boosts productivity for data and compliance teams

See it in action

Govern your entire data estate.

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Frequently Asked Questions

Does this replace my existing data catalog or security tools?

No. It enhances them. We govern at the data and policy layer and integrate with catalogs, security, and IAM systems.

Can this govern AI agents and RAG pipelines?

Yes. It applies zero-trust controls to embeddings, vector stores, and AI agent access.

Which clouds does this support?

Works across GCP, AWS, Azure, and hybrid environments.

What privacy frameworks are supported?

Pre-built policies for HIPAA, GDPR, GxP, and enterprise DLP standards.

How quickly can we deploy?

Initial deployment in weeks with ready-to-use templates and integration playbooks.

Does this support multi-tenant SaaS environments?

Yes. Policy isolation and persona-based access built for platform vendors.