ACCELERATOR · CODE ASSETS

Context Security Module

Fine-grained authorization and data boundary enforcement for multi-tenant and AI-augmented enterprise systems.

A security module that enforces context-aware authorization and data isolation across services, tenants, and AI components. It goes beyond traditional role-based access control to evaluate dynamic contextual signals, such as data classification, jurisdictional constraints, and operational context, ensuring that every data access and AI inference respects the precise boundaries required by financial regulators and enterprise data governance frameworks.

provenAvailable

Key Features

Attribute-Based Access Control Engine

Policy evaluation engine that combines user identity, resource classification, environmental context, and business rules to make real-time authorization decisions with sub-millisecond latency.

Data Boundary Enforcement

Automatic filtering and masking of data at the query layer based on tenant isolation rules, data residency requirements, and classification labels, preventing cross-boundary data leakage even in shared infrastructure.

AI Context Firewall

Intercept and filter data flowing into and out of LLM components to prevent prompt injection, sensitive data exfiltration, and cross-tenant context contamination in AI-augmented workflows.

Authorization Audit Trail

Comprehensive, tamper-evident logging of every authorization decision with full context capture, designed for regulatory examination and SOC 2 evidence requirements.

Use Cases

Multi-Tenant Banking Platform

Banking

Enforce strict data isolation between institutional clients on a shared platform, with jurisdictional controls that adapt data visibility based on regulatory regime and user clearance.

AI-Assisted Advisory Compliance

Capital Markets

Ensure that AI-generated recommendations only incorporate data the requesting user is authorised to access, with Chinese wall enforcement for conflicted entities.

Third-Party Data Sharing Gateway

Insurance

Control what data is shared with external partners and vendors through policy-driven filtering that respects consent preferences, contractual obligations, and regulatory constraints.

Technical Stack

Java / KotlinOpen Policy Agent / CedarSpring SecurityPostgreSQL / RedisgRPC / REST

Deliverables

  • →
    Context Security Core Library(Production code)
  • →
    Policy Definition Templates(Production code)
  • →
    AI Context Firewall Middleware(Production code)
  • →
    Integration Guide and Threat Model(Documentation)

Expected Programme Outcomes

Time

8–12 weeks

saved on security module build

Time

40–55%

faster security integration per service

Risk & Compliance

Day one

data-isolation audit coverage

Cost

5–8 months

of security rework avoided

Prerequisites

  • →Identity provider with token-based authentication (OAuth 2.0 / OIDC)
  • →Data classification scheme defined or in progress
  • →Service mesh or API gateway for policy enforcement points

Proven in

Case studies that used this accelerator.

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