Jampuk Intelligence Resource Hub

Resources

The engineering standard, compliance, security, and legal documentation - under one roof. Written and maintained by senior engineers, not a marketing team.

Why Jampuk (Origin Story)
In this hub
  1. 01 The Engineering Standard
  2. 02 Compliance Engineering
  3. 03 AI Regulations Review
  4. 04 Security Architecture
  5. 05 Legal Documentation
// The Engineering Standard

Systems Engineering vs. Vibe Coding

The market is saturated with developers wrapping APIs without understanding computer science. Here is how Jampuk Intelligence sets the professional standard.

Software Architecture

Vibe Coders Fragile, direct LLM API calls with hardcoded system prompts.
Jampuk Intelligence Standard Hexagonal Clean Architecture decoupling domain logic from model layers.

Error Handling

Vibe Coders Fragile try-catch loops that crash when model context windows overflow.
Jampuk Intelligence Standard Stateful, self-healing routing with automated semantic caching and fallbacks.

Security Boundaries

Vibe Coders Direct client-to-model access, risking prompt injections and PII leaks.
Jampuk Intelligence Standard Zero-trust API gateways with cryptographic tokenization and AI firewalls.

Verification & Testing

Vibe Coders Manual "vibe check" prompts that break silently during model updates.
Jampuk Intelligence Standard Continuous, automated evaluation frameworks embedded in CI/CD pipelines.
// Compliance

Compliance Engineering

How Jampuk Intelligence builds NIST AI RMF and EU AI Act compliance programmatically into software pipelines - not via paperwork, but as enforced engineering controls.

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Compliance is encoded into the delivery pipeline, giving auditors evidence, not promises.

  • 01 AI RMF govern, map, measure, manage, and monitor functions mapped to concrete CI/CD gates.
  • 02 EU AI Act risk-tiering and transparency obligations surfaced during system design.
  • 03 Automated evidence collection and immutable audit trails shipped with every release.
// Security

Security Architecture

Zero-trust AI boundaries: contextual AI firewalls, cryptographic PII tokenization, and GitOps infrastructure designed to withstand prompt injection and data exfiltration.

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Security is treated as a first-class architectural boundary, not an afterthought.

  • 01 Contextual AI firewalls filtering input and output at the model perimeter.
  • 02 Cryptographic tokenization of PII before it ever reaches model context.
  • 03 GitOps-driven, reproducible infrastructure with zero-trust access controls.
// AI Regulations

AI Regulations Review

Summary briefings on the AI regulatory landscape with a governance and compliance focus: the EU AI Act, the US state-led patchwork, the UK's principles-based regime, China's binding vertical rulebook, Australia's guardrail pathway, Malaysia's draft bill, and six recognized standards bodies - each translated into engineering capabilities.

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Country & Region

  • 01EU AI Act: risk tiers and phased deadlines through 2028.
  • 02United States: executive orders plus a fast-moving state patchwork.
  • 03UK, China, Australia, Malaysia: from principles-based oversight to binding verticals.

Standards Bodies

  • 01ISO/IEC 42001, OECD Principles, UNESCO Recommendation.
  • 02Council of Europe treaty, G7 Hiroshima code, ASEAN guide.
  • 03Every briefing: highlights, action cards, engineering translation.