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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.
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The Data Governance Accelerator unifies the Privacy Guardian Agent and Smart Data Governance to create trustworthy, compliant, and AI-ready data estates. It embeds privacy at the source while enforcing intelligent access at scale.
It supports real-time and batch anonymization, pseudonymization, and zero-trust governance across structured and unstructured data. Context-aware controls manage access for humans, systems, and AI agents.
It also governs vector stores, embeddings, and RAG pipelines while delivering full auditability and automated compliance across regions. This lets enterprises use data faster, safer, and with complete confidence.
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.
End-to-End Estate Coverage
Secures structured, unstructured, and AI-native data (documents, emails, media, embeddings, vector DBs), not just databases.
Proactive Privacy-by-Design
Applies automated anonymization and zero-trust controls before data moves, protecting both human and AI agent access paths.
Intelligent Policy Engine
Combines graph-based reasoning and NLP-driven policy authoring so business, security, and compliance teams can define contextual rules without technical friction.
AI Pipeline Governance
Governs RAG pipelines, embeddings, and model access end-to-end with enterprise-grade audit trails and pre-built templates for HIPAA, GDPR, and GxP.
How It Works
The Data Governance Accelerator operates as an intelligent, policy-driven governance pipeline.

Enterprise Use Cases
The Data Governance Accelerator is built for regulated, high-risk environments and adapts seamlessly across enterprise data estates.
Zero-Trust Access to Engineering and Production Data
Implements policy-driven access to structured/unstructured sources like BOMs, designs, and production logs. Integrates with Unity Catalog/Purview for lineage, metadata tagging, and secure sharing.
Regulatory Compliance for Financial Data Lakes
Enforces fine-grained access controls on core banking, risk, and credit data aligned to GDPR, PCI-DSS, RBI norms. Tags sensitive data and maintains audit logs for regulator queries.
Access Control and PHI Management in Clinical & EHR Data
Applies PHI tagging, policy enforcement, and audit trails on EHR and trial data. Prevents unauthorized access and integrates with enterprise IAM for role-based privacy enforcement.
Unified Governance for Subscriber and Network Data
Implements metadata classification and zero-trust policies across CRM, CDRs, and billing logs. Supports tenant-level segregation and lineage tracing to enable compliant data exchange with partners.
Business Benefits of Using DGA
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Significant Risk Reduction
Automated privacy protection and zero-trust controls lower governance and exposure risk by up to 70%.
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Operational Compliance Efficiency
Streamlined regulatory workflows reduce compliance operations cost by nearly 40% while improving traceability.
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Accelerated AI & Data Value
Governed, high-trust data pipelines enable 3× faster AI insights and increase adoption across teams.
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Continuous Audit Readiness
Real-time evidence, complete access logs, and automated reporting ensure always-on audit preparedness.
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Additional Advantages
Eliminates shadow data and shadow AI, enables secure data sharing, and boosts productivity for data, security, and compliance teams.
Govern your entire data estate.
Enable safe and compliant AI.
Frequently Asked Questions
Does this replace my existing data catalog or security tools?
No, It co-works with it and 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 platforms does this support?
Works across Azure, Databricks, GCP, AWS, and hybrid environments.
What privacy frameworks are supported?
Pre-built policies for HIPAA, GDPR, 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.