DataAI Command Platform

Assigns risk scores to discovered data based on sensitivity, access exposure, and configuration, then continuously monitors access patterns and policy compliance to surface the highest-risk data stores for action.

Discovers and classifies sensitive data (PII, PHI, PCI data, IP) across cloud object storage, relational and NoSQL databases, data lakes, and SaaS platforms using content inspection and ML classification.

Identifies sensitive data in locations outside authorized data stores, development databases containing production PII, unprotected S3 prefixes, forgotten data lake partitions.

Maps effective permissions to sensitive data stores across cloud IAM, database roles, and SaaS permissions, identifies over-privileged access and dormant entitlements.

Detects how sensitive data moves and transforms through AI pipelines to prevent exposure.

Identifies data flowing into large language models and enforces data access governance and entitlement for generative AI use.

Connects to cloud object storage, data warehouses, on-premises databases, and SaaS platforms for discovery and classification, with coverage depth varying by product.

Traces how sensitive data moves between storage locations, services, and users, surfaces unexpected cross-region transfers, shadow copies, and retention policy violations.

Automatically remediates discovered violations, revoking over-permissioned access, moving misplaced data to compliant storage, encrypting unprotected sensitive files.

Maps effective permissions to sensitive data stores, identifying every identity with access, at what level, and whether that access has been used recently.

Generates access certification campaigns for data owners and custodians, routing entitlement lists for review, tracking decisions, and triggering revocation for uncertified access.

Consumes sensitivity labels from data classification tools (Purview, Varonis, Nightfall) to apply access governance policies based on data sensitivity tier.

Implements IAB Europe TCF v2.2, encoding user consent through the TC String and Global Vendor List for CMP certification in EU programmatic advertising.

Connects to multiple preference repositories with bidirectional synchronization and configurable collision-resolution rules backed by prebuilt connectors and APIs.

Hosts a self-service center where individuals manage granular communication and data-use preferences over time (channels, topics, and purposes), with those choices enforced across connected systems.

Crawls the site to discover all cookies and tracking technologies in use, categorizes them by purpose (strictly necessary, analytics, marketing), and maintains the cookie declaration.

Stores an immutable record of consent transactions (what consent was given, when, to which version of the privacy notice, from which IP and session), as required for GDPR accountability.

Handles GDPR opt-in, CCPA/CPRA opt-out, LGPD, and other jurisdiction-specific consent regimes from a single implementation, applying the correct consent model based on visitor geolocation.

Manages privacy breach response and regulatory notification workflows within mandated timelines.

Assesses third-party processors and sub-processors against GDPR data processing agreement requirements and privacy control standards before data sharing.

Discovers personal data processing activities and their associated data flows, systems, and third-party transfers: the foundation for GDPR Article 30 Records of Processing Activities.

Captures, stores, and versions consent records with purpose, legal basis, and timestamp, providing auditable proof of consent for data processing activities.

Automates intake, identity verification, routing to data owners, and fulfillment of GDPR, CCPA, and LGPD data subject requests, access, deletion, portability, and correction.

Serves compliant cookie consent banners, stores granular consent by category, and integrates with analytics and ad tech platforms to enforce user consent preferences.

Provides structured DPIA workflows with pre-built templates for common processing activities, routing for DPO review, and documentation of risk mitigations.

Captures and tracks the data used by AI entities over time, including training-data provenance and lineage via data governance integration.

Classifies, assesses and mitigates AI-specific risks such as bias and robustness, with content libraries for regulations and frameworks including the EU AI Act, NIST AI RMF and ISO 42001.

Enforces AI policies at runtime through guardrails, access controls and use-case validation, with remediation recommendations and compliance reporting.

Maintains a centralized, discoverable registry of all AI use cases, applications, agents and models with metadata, ownership and deployment status.

Handles data subject requests under GDPR, CCPA/CPRA, LGPD, and other privacy laws from a single intake workflow, applying jurisdiction-specific handling rules and response timeframes.

Queries connected data sources (CRM, email, databases, SaaS apps) to locate personal data for a given subject, automating the data retrieval step of access and deletion requests.

Verifies data subject identity using configurable verification methods (email OTP, ID document check, account authentication), before disclosing or deleting personal data.