Consent Enforcement Engine
High-Performance Policy Decision Point (PDP/PEP) & Propagation Engine
Product Overview & Key Capabilities
A distributed, high-performance Policy Decision Point (PDP) and Policy Enforcement Point (PEP) engine that evaluates data access requests at runtime against cryptographic consent tokens, enforces strict purpose limitation, propagates withdrawal events in real time, and isolates child data pathways.
Distributed Policy Decision Point (PDP) runtime architecture, cryptographic consent token validation engine, and downstream event propagation maps.
Target Roles & Operational Impact
| Target Persona & Role | Decision Authority | Operational Value & Impact |
|---|---|---|
| Enterprise Architect & Privacy Engineer | Technical Architecture Lead | Deploy distributed Policy Enforcement Points (PEPs) at API gateways and service meshes to intercept data queries before execution. |
| Data Platform & ML Engineer | Data Pipeline Governance | Isolate operational transactional data from AI/ML feature stores and block withdrawn consent records from model training sets. |
| DPO & Regulatory Compliance Officer | Enforcement Sign-Off | Verify that consent withdrawal under Section 6(4) triggers instantaneous downstream processing cessation across all connected services. |
Data Schema & Architecture Interface Contracts
The following data schemas and interface contracts define the structured payloads and integration endpoints of this product:
Operational Workflow & Product Invariants
Execution Workflow Procedure
- Capture user consent with itemized purpose binding and mint cryptographically signed consent tokens.
- Intercept data access requests at Policy Enforcement Points (API Gateways, Envoy sidecars, database proxies).
- Evaluate request against active token state and purpose registry at the Policy Decision Point (PDP).
- Enforce decision (Allow, Deny, Mask/Redact) and emit structured audit telemetry with SHA-256 proof.
- Upon consent withdrawal event, broadcast invalidation across Kafka topics and invalidate distributed Redis caches.
- Enforce hard segregation between operational servicing and model training datasets (SYS-004, SYS-011).
Mandatory Product Invariants
- P02-R01: Deliver sub-millisecond PDP decision latency with local cache evaluation and asynchronous audit emission.
- P02-R02: Distinguish between consent-based processing and statutory legitimate uses under Section 7 during policy evaluation.
- P02-R03: Enforce strict child-data access gates under Section 9, preventing profiling and behavioral tracking at runtime.
- P02-R04: Provide fail-closed security defaults during network partitions or token validation failures.
Operational Boundaries & Architecture Assumptions
- • Does not replace primary relational database access control (RBAC/ABAC) mechanisms.
- • Does not store plain-text biometric or financial data within the policy evaluation cache.
Built-in Quality Verification & Compliance Test Harness
Verify that queries attempting to access personal data for unconsented purposes are intercepted and denied at the PEP.
Validate that a consent revocation event propagates to all downstream cache layers and message queues within 500ms.
Confirm that data requests flagged for minor accounts reject tracking and profiling queries unconditionally.
Statutory Grounding & Regulatory Crosswalk
8 Enforced ProvisionsThe following primary Act sections and subordinate Rule provisions establish the direct legal grounding, mandatory statutory constraints, and operational compliance duties enforced by this product:
Section 5
Notice data/purpose, withdrawal/grievance and Board-complaint means; legacy notice as soon as reasonably practicable; English/Eighth Schedule option.
Section 6
Specific informed affirmative necessary-data consent; comparable ease of withdrawal; reasonable-time cessation with lawful exceptions; separate registration and burden of proof.
Section 7
Complete (a)-(i) subrows govern; there is no s7(1)(h).
Section 9
Verifiable parent/guardian consent before processing; no detrimental child effect; no tracking/behavioural monitoring/targeted child advertising.
Section 8
Responsibility despite agreements/principal default; valid processor contract; conditional data accuracy; safeguards; breach intimation; erasure; contact and grievance mechanism.
Rule 3
Independent understandable clear/plain notice, itemised data, purposes and goods/services/uses description; withdrawal/rights/complaint links and other means.
Rule 4
First Schedule eligibility; published application particulars; Board inquiry/reasoned rejection; obligations; hearing and suspension/cancellation/directions; information power.
Rule 10
Appropriate measures and identifiable-adult due diligence; reliable held identity/age or voluntarily supplied details/authorised token; illustrations.
Target Systems Topology (SYS-001..014)
View Complete Architecture Topology →Public client boundary & untrusted intake surface for notices and consent capture
Domestic production database and primary system of record for loan servicing
Processor-operated messaging engine (ENT-004) gated by optional consent
Purpose-partitioned analytical warehouse staging operational reporting
Cold physical and scanned document store subject to statutory retention schedules
Self-service orchestration service for managing DSARs and grievance redressal