Know Your Data.
Control Your Exposure.
Your organisation generates data everywhere. Can you see all of it?
DPDP and AI readiness begins with understanding your data.
India’s Digital Personal Data Protection (DPDP) Act has increased the importance of knowing how personal data is collected, stored, processed and protected. Organisations need better visibility into personal information across their digital environments to support responsible data governance, privacy assessments and regulatory preparedness.
Beyond data discovery, organisations can assess potential exposure arising from excessive permissions, external sharing and inappropriate access. Classification and risk-based insights help security and compliance teams prioritise areas that may require attention, improve data handling practices and strengthen internal governance.
AI readiness requires the same level of data visibility. As organisations adopt generative AI, copilots, autonomous agents and Retrieval-Augmented Generation (RAG) workflows, sensitive information may enter AI knowledge repositories and connected data sources. Identifying confidential, personal and regulated information before it is used by AI systems is an important step towards responsible AI adoption.
A structured data discovery strategy can help organisations prepare for DPDP, GDPR, UK GDPR and CCPA/CPRA requirements while building a stronger foundation for AI governance and data security.
Discover your data. Understand your exposure. Strengthen DPDP and AI readiness.
Fragmented Data Environments
Enterprise data is scattered across cloud platforms, databases and business applications. Fragmented environments make it difficult to maintain visibility, classify sensitive information, manage access and strengthen DPDP compliance and AI readiness.
Unidentified Personal Information
Personal information hidden across enterprise systems can go unnoticed, increasing privacy risks and making data classification, DPDP compliance, sensitive data protection and AI readiness more challenging.
Excessive Data Exposure
Sensitive data may be exposed through excessive permissions, unsecured sharing and inappropriate access. Identifying these risks helps organisations strengthen data protection, reduce privacy vulnerabilities and improve DPDP compliance and AI readiness.
Regulatory Complexity
Evolving privacy regulations across regions create complex compliance requirements. Organisations need clear data visibility, consistent governance and effective classification to support DPDP, GDPR, CCPA/CPRA and AI readiness across operations.
From Data Discovery to Intelligent Governance
Transform scattered enterprise data into actionable intelligence. Discover and classify sensitive information, assess exposure risks, strengthen protection controls and establish effective data governance for DPDP compliance and responsible AI adoption.
Discover
Discover sensitive data across cloud platforms, databases and enterprise applications.
Classify
Identify , categorise and classify personal, sensitive and confidential data accurately.
Assess
Assess data access, sharing and potential exposure risks at an enterprise level.
Protect
Protect sensitive data with security controls, proactive remediation and continuous monitoring.
Govern
A comprehensive approach to enterprise data intelligence
A comprehensive approach to enterprise data intelligence brings data discovery, classification, exposure assessment and governance together within a structured framework. It helps organisations gain visibility into their digital information landscape, identify personal and confidential data, and understand potential risks associated with data access, storage and sharing.
Data discovery establishes visibility by identifying information across connected enterprise repositories. Intelligent classification helps categorise personal information, financial records, employee data, identity documents and confidential business content. Exposure assessment highlights potential risks arising from excessive permissions, inappropriate access and external sharing. Data protection and remediation support organisations in addressing identified risks through appropriate controls, policies and corrective actions.
Enterprise data intelligence also plays an important role in AI readiness. As businesses introduce generative AI, copilots, autonomous agents and Retrieval-Augmented Generation (RAG) systems, sensitive information may become part of AI-connected knowledge sources. Discovering and classifying this information before AI adoption helps organisations identify potential exposure and establish stronger data governance practices.
By connecting discovery with security and governance, organisations can move beyond fragmented data management towards a more informed and proactive strategy. Security, IT, privacy and compliance teams gain a clearer understanding of their data environment, helping them prioritise risks, improve accountability and make better decisions.
Discover your data. Understand your risks. Strengthen privacy and AI readiness with intelligent enterprise data governance.
Enterprise Data Discovery
Discover and map enterprise data across cloud platforms, databases and business applications for better visibility.
Intelligent Classification
Automatically identify and categorise personal, financial and confidential data using intelligent classification rules.
PII & Personal Data Intelligence
Discover and classify global PII and regional personal identifiers to strengthen privacy protection and DPDP readiness.
Data Exposure Assessment
Identify excessive permissions, unsecured sharing and access vulnerabilities to prioritise data exposure risks and strengthen security.
Data Labelling & Remediation
Apply data labels, strengthen access controls and remediate identified risks to improve protection and governance.
Privacy & Regulatory Intelligence
Support DPDP, GDPR, CCPA/CPRA and other privacy frameworks with relevant data insights.
AI Data Security & RAG Readiness
Prepare enterprise data for secure AI adoption by discovering and classifying sensitive information in AI knowledge sources and RAG repositories. Identify potential exposure risks and strengthen data governance before information is accessed by AI systems.
Support across key privacy regulations
DPDP Act
Support India’s Digital Personal Data Protection Act through improved data visibility and governance.
GDPR
GDPR readiness through data discovery, classification & privacy governance across enterprise environments.
CCPA / CPRA
CCPA/CPRA readiness through data discovery, classification & privacy across business systems.
UK GDPR
UK GDPR readiness through data discovery, classification & effective governance across enterprise systems.
Turn data visibility into business value
Greater Data Visibility
Gain a clear, unified view of enterprise data across cloud platforms, databases and business applications.
Improved Classification
Improve data accuracy with consistent classification of personal, financial and confidential information across enterprise systems.
Reduced Exposure
Identify and address excessive permissions, unsecured sharing and access risks to minimise sensitive data exposure across enterprise environments.
Stronger Privacy Readiness
Strengthen privacy governance with better data visibility, classification and risk assessment to support DPDP and global regulatory readiness.
AI Data Security
Protect sensitive information across AI systems, knowledge repositories and RAG workflows to support secure and responsible AI adoption.
Better Audit Preparation
Improve audit readiness with organised data insights, classification records and risk assessments to support compliance reviews and evidence gathering.
Ready to strengthen DPDP compliance and prepare your organisation for secure AI adoption?
Discover and classify personal data, identify exposure risks and strengthen DPDP readiness. Prepare your organisation for secure AI adoption through better data governance, privacy protection and responsible AI practices.