EXO Security and Governance: Offline Model Management Training Course

Offline Model Deployment Procedures

• Deploying models in a disconnected environment to eliminate runtime external connectivity.
• Caching model weights from authorized internal repositories into read-only directories prior to execution.
• Validating the integrity of model artifacts using SHA-256 checksums and cryptographically signed metadata.
• Operationalizing EXO in air-gapped networks without reliance on external package registries or cloud services for government systems.

Dashboard and Application Programming Interface (API) Access Control

• Deploying reverse proxy infrastructure with Transport Layer Security (TLS) termination.
• Enforcing role-based access control (RBAC) for dashboard interfaces and REST API endpoints.
• Securing API authentication credentials within operating system native key management systems.
• Restricting administrative access to authorized network ranges via strict source IP filtering.

Cluster Segmentation and Network Security

• Isolating EXO clusters through namespace segmentation and virtual local area networks (VLANs).
• Configuring host-level firewalls to control ingress and egress traffic for designated ports.
• Mitigating risks associated with unauthorized device discovery and rogue node insertion.
• Encrypting inter-node communication protocols where remote direct memory access (RDMA) is unavailable.

Model Governance and Provenance

• Maintaining an internal model registry that tracks approved models, versions, and metadata.
• Tagging quantized weights alongside original checkpoints to ensure traceability and version control.
• Enforcing policies that permit the loading of only pre-approved repositories or local artifacts for government use cases.
• Documenting model lineage, licensing compliance, and acceptable use guidelines.

Audit Logging and Regulatory Compliance

• Forwarding logs to immutable storage solutions, including Security Information and Event Management (SIEM) systems.
• Correlating API activity logs with user identity and temporal data for accountability.
• Capturing events related to model instance lifecycle management and inference requests.
• Producing periodic compliance reports for internal review and external audit requirements.

Threat Modeling and Incident Response

• Identifying potential threats, including data exfiltration via model outputs, prompt injection, and side-channel vulnerabilities.
• Implementing content filtering and monitoring pipelines to detect malicious inputs.
• Developing incident response procedures for cluster compromise scenarios.
• Isolating compromised nodes, preserving forensic evidence, and restoring environments from known good states.

Physical Security and Hardware Boundaries

• Securing physical ports against unauthorized peripheral connections.
• Leveraging hardware-based secure enclaves and device attestation where supported by government equipment policies.
• Controlling physical access to computing clusters and shared storage infrastructure.
• Documenting hardware lifecycle management and secure decommissioning procedures.

Regulatory Alignment

• Aligning deployment architectures with applicable standards such as GDPR, HIPAA, and SOC 2.
• Maintaining data sovereignty by processing inference requests within on-premise government facilities.
• Assessing and documenting supply chain risks associated with open-source components and model weights.
• Preparing for compliance with emerging artificial intelligence governance frameworks.