Ethyca Fides

Exposes consent management through REST APIs, enabling custom front-end consent experiences without being constrained to the vendor's UI components.

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.

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

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.

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.

Pushes stored consent decisions into tag managers and ad platforms (Google Consent Mode v2, GTM) so downstream tags fire only for permitted purposes.

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.

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

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

Monitors updates to privacy laws and regulatory guidance across jurisdictions and maps changes to affected data processing activities and controls in the program.

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

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.

Automates timed deletion and lifecycle enforcement so personal data is erased across connected systems when its retention period or lawful purpose ends, independent of an inbound request.

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.

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

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.

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

Provides comprehensive audit trails of platform actions and activities across the AI life cycle.

Connects across the AI and data stack, including data governance, model observability, AI discovery and AI security tools.

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.

Documents trust, risk and security assessments, testing and validation results, and remediation evidence for AI systems.

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

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

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