Subject Rights Automation Platform (SRAP)

Establishes a high degree of confidence in the requestor's identity before initiating data discovery. This prevents fraudulent access to sensitive personal data.

• Multi-Factor Authentication (MFA): Enforces possession and knowledge factors.
• Knowledge-Based Verification (KBV): Dynamic quizzes using non-public data.
• Government ID Validation: Automated scanning and liveness detection.
• Risk-Based Scoring: Adaptive friction based on device fingerprinting and behavioral analytics.

Automatically locates and classifies a subject's personal data across structured databases, unstructured file shares, and legacy archives. This replaces manual, error-prone data inventory searches.

• Pattern Matching: Regex and checksum validation for structured identifiers.
• Semantic Classification: NLP models to detect PII in free-text documents.
• Data Lineage Integration: Connects to existing catalogs to trace data lineage for PII.
• Federated Search: Queries across on-premise, cloud, and SaaS silos without data centralization.

Applies granular rules to sanitize or extract data before fulfillment. This ensures only the legally required information is disclosed, protecting third-party privacy and trade secrets.

• Entity-Level Redaction: Blacking out specific names, emails, or financial figures.
• Contextual Logic: Applying purpose-based access control to filter data by legal basis.
• Format Conversion: Transforming raw logs into a structured, machine-readable format for right to portability requests.
• Conflict Resolution: Automatically handling cases where a document contains both the subject's data and privileged third-party information.

Delivers the compiled data package to the verified subject through an encrypted, auditable channel. This closes the loop on the privacy request orchestration workflow.

• End-to-End Encryption: Secure download links with time-to-live (TTL) expiry.
• Self-Service Dashboard: A centralized portal for subjects to view request status and history.
• Automated Erasure Execution: Hard deletes or irreversible anonymization for right to erasure requests.
• Immutable Audit Trail: Cryptographically signed logs recording every access and action for the consent audit trail.

A configurable rules engine that codifies global privacy statutes into automated actions. It calculates deadlines, assigns tasks, and manages exceptions without manual intervention.

• Jurisdictional Routing: Automatically applies GDPR, CCPA, or LGPD rules based on residency.
• Deadline Management: Ticking clocks for statutory response windows with escalation triggers.
• Legitimate Interest Assessment (LIA) Integration: Automates the balancing test logic for processing objections.
• Extension Logic: Automatically pauses clocks and generates mandated delay notifications.

Synchronizes consent states across the entire martech stack. When a user withdraws consent, the SRAP propagates the signal to all downstream processors in real-time.

• Global Privacy Control (GPC) Listener: Ingests browser-level opt-out preference signals.
• IAB TCF Integration: Communicates consent strings to the digital advertising supply chain.
• Conflict Resolution: Algorithmic determination of the 'winning' consent state when multiple conflicting signals exist for a single identity.
• Downstream Propagation: API-driven notification to CRMs, CDPs, and email platforms to suppress processing immediately.

A formal request by an individual to access, rectify, or delete their personal data, mandated by regulations like GDPR and CCPA. SRAPs automate the full DSAR lifecycle:

• Identity verification using multi-factor authentication
• Data discovery across structured and unstructured silos
• Secure fulfillment via encrypted portals
• Response generation within regulatory deadlines (30 days under GDPR)

The automated workflow engine that coordinates tasks across identity providers, data stores, and review queues to complete a data subject request. Key orchestration steps:

• Intake routing based on request type and jurisdiction
• Parallel data discovery across CRM, data lakes, and backups
• Redaction rules applied before fulfillment
• Exception handling for complex or high-risk requests

The right of a data subject to have their personal data deleted without undue delay, codified in Article 17 of the GDPR. SRAPs enforce erasure through:

• Cascading delete across primary stores, replicas, and logs
• Retention policy overrides for legal holds
• Verification scans confirming complete removal
• Audit trail documenting the deletion for regulatory proof

The automated mapping of the origin, movement, transformation, and storage locations of personally identifiable information. Without accurate lineage, SRAPs cannot guarantee complete fulfillment:

• Column-level tagging of PII fields
• ETL pipeline tracing across transformations
• Third-party data flow mapping for processor obligations
• Real-time lineage updates as schemas evolve

An immutable, time-stamped log recording the full history of a user's consent actions. SRAPs rely on consent audit trails to validate the legal basis for processing when responding to access or erasure requests:

• Notice versioning showing exactly what the user saw
• Timestamped opt-in/opt-out events
• Contextual metadata (device, location, language)
• Chain of custody for downstream processors

A data subject's right under GDPR Recital 71 to obtain meaningful information about the logic involved in automated decisions. SRAPs must surface:

• Model inference explanations using SHAP or LIME
• Feature importance for the specific individual's outcome
• Counterfactual explanations showing what would change the result
• Human review escalation paths when automated logic is insufficient