JurisdictionalAI Agentic Hypervisor Core

JurisdictionalAI System Architecture

Agentic AI Core: Sovereign AI Governance Authority — EU AI Act Annex IV Conformance, Legal Jurisdiction Filtering & Compliance Audits

Hypervisor Nodes & Execution Subsystems

• EU AI Act Annex IV Risk Assessment Parser
• Multi-Jurisdiction Regulatory Matrix Engine
• Data Sovereignty & Cross-Border Boundary Filter
• Model Card & Transparency Artifact Notary
• Continuous Algorithmic Bias & Fair Lending Assessor

Architectural Layers & Ingress Bus

• Layer 1: Execution Sandboxing & Memory Ceilings (WebAssembly (WASI) / microVM / cgroups v2 / Seccomp Filters / Sub-Millisecond Cold Starts): Enforces strict memory allocation boundaries and process isolation for each autonomous agent thread.
• Layer 2: Protocol Engine & Tool Ingress (MCP) (Model Context Protocol (MCP) / JSON-RPC 2.0 / SSE / OpenAPI / Schema Sanitization): Routes tool requests, sanitizes input payloads, and enforces token rate-limits across connected enterprise services.
• Layer 3: Deterministic Scheduling & Multi-Agent Consensus (BFT Consensus / Dynamic DAG / Priority Queuing / Deadlock Prevention / Token Budgeting): Orchestrates collaborative agent task dependencies, prevents runaway recursion, and manages shared state synchronization.
• Layer 4: Constitutional Guardrails & Cryptographic Audit (Z3 SMT Invariant Provers / Merkle Audit Trails / Automated Circuit Breakers / W3C DIDs): Enforces hard mathematical safety boundaries, detects goal drift, and logs tamper-evident operational evidence.

Operational Benchmarks & Execution Ceilings: < 0.42 ms (Sandbox Cold Start) | < 3.5 ms (Execution Overhead) | 100.0% (Containment Efficacy) | 50,000/s (Concurrent Capacity)