Data Discovery & Classification
Identify sensitive, regulated and business-critical information across structured and unstructured sources.
Protect sensitive data. Control how
it moves. Prove how it was used.
Enterprise data now moves across cloud platforms, SaaS applications, warehouses, operational systems and on-premise environments. Protecting it requires more than securing where it is stored. CharliAI helps organizations establish the architecture, governance and controls required to protect sensitive information throughout its lifecycle, including anonymization, data loss prevention, permitted use, records management and forensic evidence.
Sensitive information is increasingly distributed, replicated, transformed and consumed across systems that were never designed as one governed environment. Organizations need to understand where data resides, how it moves, who or what can use it, what restrictions apply and whether that use can be proven after the fact.
CharliAI brings data protection, governance and forensic control together across cloud, on-premise and hybrid environments. We help organizations identify sensitive data, establish appropriate-use controls, anonymize or redact information, prevent unauthorized disclosure and maintain evidence of how information moved and was processed.
Identify and mitigate sensitive data risks before they become incidents.
Enforce policy and prevent unauthorized disclosure across all environments.
Satisfy regulatory, legal and internal requirements with confidence.
Build a trusted foundation for analytics, innovation and responsible AI.
CharliAI helps organizations design, implement and operate modern data protection across cloud, on-premise and hybrid environments, from governance architecture through production controls.
Identify sensitive, regulated and business-critical information across structured and unstructured sources.
Redaction, masking, tokenization, data seals and controls that protect information while preserving usefulness.
Prevent unauthorized disclosure and enforce policy as sensitive information moves between systems, applications and users.
Govern data across hybrid environments, including modern ELT architectures, replication and controlled centralization.
Establish ownership, policy, consent and acceptable-use requirements.
Connect records-management requirements with retention, disposition, lineage and defensible evidence of data handling.
Apply residency, cross-border and jurisdictional requirements to where information is stored, processed and transferred.
Establish trusted data relationships, metadata and knowledge structures that support advanced analytics, knowledge graphs and responsible AI adoption.
Choose the model that best fits your organization’s objectives and timeline.
6–8 week engagement to assess the data estate, define protection architecture, governance, policy and implementation priorities.
Deploy CharliAI controls for sensitive-data protection, redaction, DLP, policy enforcement, data movement and forensic evidence across cloud and on-premise environments.
Combine advisory expertise with production controls, allowing teams to move from current-state assessment directly into implementation and ongoing enforcement.
Designed to work with existing cloud, data, security, IAM and records-management infrastructure rather than requiring a wholesale platform replacement.
The path can stop at architecture, move directly to product deployment, or combine both.
Start with architecture, deploy operational controls, or combine both into a practical path from data governance to production protection.