BlackLattice is a next‑generation AI compliance and security engine designed for sovereign, air‑gapped, and attested inference environments. Our platform provides deterministic, verifiable, and audit‑ready AI execution for hospitals, critical infrastructure, and regulated industries requiring strict chain‑of‑custody guarantees.
Our 2026 research paper, "Sovereign, Air‑Gapped, and Attested AI Inference: A Compliance‑First Architecture for Regulated Workloads", is published on Zenodo with permanent DOI 10.5281/zenodo.20422087. The work outlines a novel compliance architecture for AI systems operating under adversarial, high‑regulation, or zero‑trust conditions.
The manuscript presents a security framework for sovereign execution that treats compliance as a runtime property rather than a policy statement applied after the fact. It combines jurisdiction-aware deployment, a four‑tier gateway and inference structure, six independent containment layers, volatile‑memory‑only session handling, metadata‑only audit trails, and cryptographic integrity checks.
BlackLattice also publishes "Cyber Self-Defense Under Active Intrusion: A Lawful, Ethical, and Operational Framework for Defensive Deception, Containment, Attribution, and Recovery", a conceptual research article introducing the Bounded Cyber Self-Defense Model for active intrusion response without hack-back. The model frames lawful cyber self-defense as disciplined, evidence-centered, proportionate, and auditable defense inside authorized environments and is published on Zenodo with DOI 10.5281/zenodo.20435793.
View Zenodo Record (DOI: 10.5281/zenodo.20422087)
The framework has demonstrated strong performance across comprehensive adversarial scenarios, including network binding verification, egress denial testing, dependency integrity validation, stateless wipe confirmation, and crash‑dump inspection. External scans and outbound connection attempts are blocked; inference processes bind only to loopback.
Educational primers on BlackLattice concepts, technology foundations, and security fundamentals:
BlackLattice is a next-generation AI compliance and security engine designed for sovereign, air-gapped, and attested inference environments. The platform provides deterministic, verifiable, and audit-ready AI execution for hospitals, critical infrastructure, and regulated industries requiring strict chain-of-custody guarantees. BlackLattice treats compliance as a runtime property rather than a policy statement applied after the fact.
Attested AI inference is a security model where every AI execution is cryptographically verified and bound to its runtime environment. This includes manifest verification of dependencies, cryptographic integrity checks of model weights, and continuous attestation that the inference process has not been tampered with. The system produces metadata-only audit trails that allow third-party verification without exposing sensitive user content.
Air-gapped AI operates in physically or logically isolated environments with no outbound network connectivity. The architecture enforces loopback-only model binding, kernel-level egress denial at the network stack, and volatile-memory-only session handling. Data enters through controlled offline transfer paths with cryptographic verification, and no telemetry, logs, or model outputs can leave the boundary without explicit operator action.
BlackLattice is built for organizations operating under strict regulatory frameworks: hospitals requiring HIPAA-aligned AI inference, critical infrastructure operators with air-gap mandates, defense-adjacent environments needing export-control compliance, and enterprises requiring verifiable AI behavior. Any organization that must prove where data went, what controls applied, and what evidence exists after execution benefits from sovereign, attested AI infrastructure.
Sovereign AI execution means the organization maintains complete control over the AI infrastructure, data, and execution environment. Unlike cloud AI services where infrastructure remains externally controlled, sovereign execution keeps the host, data, models, and operational telemetry under operator control. This eliminates subprocessor dependence, retention ambiguity, and the legal risks of cross-border data transfers.
BlackLattice implements an evidence-first audit model with six independently testable containment layers: loopback binding verification through socket inspection, egress denial through firewall tests, dependency and model verification through manifest checks, session wipe through runtime tests and swap verification, and watchdog response through triggered wipe events. The system produces Merkle-style evidence chains that auditors can verify without accessing sensitive content.
The 2026 research paper "Sovereign, Air-Gapped, and Attested AI Inference: A Compliance-First Architecture for Regulated Workloads" is published on Zenodo with permanent DOI 10.5281/zenodo.20422087. The manuscript includes the full security framework, threat model, processing pipeline, control-evidence crosswalk, and validation plan suitable for technical review and compliance assessment.
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