This document details the internal data flow, polyglot synchronization, and AI orchestration logic of the AIP-HSD platform.
The platform operates on a continuous, cycle-based intelligence loop managed by the AI Orchestrator:
- Ingestion: Python-based collectors gather global OSINT (RSS, Scraping, Search), while polyglot agents (Go, C++, Python) push internal telemetry via JSON/REST.
- Normalization: Disparate logs are unified into a standard analysis-ready schema.
- Correlation: The AI Hunter matches global threat indicators (IOCs) with internal system anomalies (Ports, Keywords, LATENCY).
- Math Delegation: Heavy composite risk calculations and scientific forecasting are delegated to high-performance cores in Rust, Julia, and Fortran.
- Visualization: Results are pushed to the React-TS/Next.js frontends via WebSockets or high-frequency polling.
Standardization is achieved through:
- Universal API Schema: Every backend implementation (Python, Node, Go, Rust) adheres to the exact same REST API specification.
- Common Event Format: All agents emit a unified JSON schema for telemetry and alerts, ensuring cross-language compatibility.
- Polyglot Messaging: Critical alerts are distributed via an Elixir Alert Hub, leveraging the fault-tolerant Erlang VM.
Security is baked into the architecture:
- Zero Trust Engine: A Python-based engine evaluates every internal access request using multi-factor trust scores.
- Quantum-Ready: The Rust core includes PQC stubs for Kyber/Dilithium encryption, future-proofing platform communication.
- Blockchain Audit: Forensic event logging is implemented as a Go-based blockchain, creating an immutable ledger of security incidents.
- Adversarial Shield: A dedicated AI protection layer prevents prompt injection and malicious query patterns.
- Multi-Arch Containerization: The stack is built for
amd64andarm64using Docker Buildx. - Edge Compute: Wasm-based monitors allow for sandboxed security logic execution directly on edge nodes.
- Modular CI/CD: Each language stack and platform binary has its own isolated GitHub Actions workflow.
For development details, please refer to the individual language folders.