Lyo

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.

Executes the fulfillment action across connected systems once a request is approved, deleting or redacting the subject's personal data and producing evidence that erasure was completed.

Tracks regulatory response deadlines (GDPR 30-day, CCPA 45-day) per request, escalates overdue items to named owners, and generates compliance reporting.

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.

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.

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.

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