Compliance-Engineered Solutions
We do not write compliance advisory reports or policies. We build the automated guardrails, audit logging systems, and verification gates directly into your software stack.
Codifying the NIST AI RMF
Our software architectures are engineered to programmatically support the four core pillars of the NIST AI RMF: Govern, Map, Measure, and Manage.
1. Govern (Programmatic Control)
We translate corporate governance rules and threshold limits directly into codified verification blocks. We do not write ethics papers; we deploy real-time telemetry gates that programmatically prevent model execution if confidence bounds are crossed.
2. Map (Data Source Ingestion & Lineage)
Our software automatically maps input data lineages through vector embeddings. Our Document Intelligence pipelines log data source footprints, maintaining a clear provenance trace of where information originated and how it was processed.
3. Measure (Factual Trustworthiness)
We run continuous, automated evaluations. Every inference cycle undergoes automated factual correctness and bias tests, measuring hallucination ratios and checking for drift using our open-source grounding SDKs.
4. Manage (Autonomous Mitigation)
When risk parameters are triggered (e.g. data drift or high hallucination metrics), autonomous workers execute pre-defined rollback scripts, quarantine affected data, or trigger human approval blocks.
The Architecture Sandbox
Prove Jampuk Intelligence's core programmatic guardrail concept in 5 seconds. Connect the blocks below to secure the model execution channel.
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⚠️ CRITICAL: PII Leakage Risk
Direct User Request connection to the LLM Gateway exposes confidential parameters. Customer PII and proprietary datasets risk complete exposure.
Architecture Blocks
Tap a block to select, then tap the empty slot to place it, or drag and drop it.
Compliance Guardrail
Codified NIST rules, automated PII scrubbing, and real-time inference telemetry gates.
Unstructured DB
Direct vector source embeddings. Bypasses role-based semantic access filters.
EU AI Act Technical Implementations
Deploy systems that strictly comply with the phased mandates of 2025 and 2026. We build the necessary software controls for Deployers of high-risk AI.
| Deployer Obligation | Jampuk Intelligence Engineered Solution |
|---|---|
| System Registry & Inventory | Digital Twin and automated knowledge hubs deployed inside your core stack acting as a centralized registry of all deployed model versions and their exact downstream dependencies. |
| High-Risk Data Governance | Automated data-cleansing and sanitization pipelines mapping raw training and inference datasets, filtering out representative anomalies or toxic patterns before model fine-tuning. |
| Continuous Performance Monitoring | Autonomous worker pipelines equipped with real-time semantic telemetry, tracking model drift and latency spikes through Prometheus and Grafana alerts. |
| Immutable Six-Month Logging | Immutable audit logs backed by high-throughput PostgreSQL and encrypted cloud object storage, satisfying strict EU compliance standards. |
Zero-Trust AI Architectures
We treat every API endpoint and model interface as a potential threat vector. Compliance requires complete perimeter isolation.
By implementing strict token-boundary mapping and role-based data gateways, Jampuk Intelligence ensures your AI only receives the absolute minimum contextual metadata required to execute its immediate query, eliminating the risk of accidental lateral database scans or unauthorized model inference patterns.
// Restricting context envelope
[MAP] Ingest query ID: query_88b1
[MAP] Context bound: DB_SALES_RECORD_L12
[WARN] Blocked attempt to read sales_commission_field
[OK] Filtered chunk dispatched to LLM Gateway
Build Programmatic Compliance Directly Into Your Pipeline
Speak directly with AI steward & systems architect Hafiz Zainudin to design automated guardrails and logging structures for your enterprise AI roadmap.