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DEFONEOS × DSIT × AI SAFETY INSTITUTE

DSIT AI Safety Institute
Governance Deep-Dive Pack

Sovereign AI governance of UK AI Safety Institute frontier model evaluation, systemic risk assessment, and international AI safety coordination. 12 entry points × 8 transformation priorities × 6 MCPs. Audit-grade. Signed. UK-sovereign.

12
Entry Points
8
Transformation Priorities
6
MCP Servers
7
Backbone Orgs

🏛️ 12 Entry Points

Frontier Evaluation

Frontier Model Evaluation

Pre-deployment evaluation of frontier AI models from OpenAI, Anthropic, Google DeepMind, and Meta. Autonomous capability assessment. Cyber-offence testing. Biological threat uplift measurement. Societal resilience probing. Safeguard evaluation against UK AI Safety thresholds.

Systemic Risk

Systemic Risk Assessment

Cross-model systemic risk evaluation. AI-enabled cyber attack trajectory modelling. Autonomous replication assessment. Deceptive alignment detection. Power-seeking behaviour identification. National security risk classification per DSIT framework.

Red-Teaming

Structured Red-Teaming Operations

Multi-disciplinary red-team exercises across biological, cyber, chemical, and radiological domains. Automated adversarial prompt generation. Jailbreak resistance scoring. Safety fine-tuning robustness testing. Third-party red-team coordination with NCSC and GCHQ.

Third-Party Testing

Third-Party Testing Ecosystem

Accreditation of independent AI testing organisations. UKAS-aligned assessment methodology. Testing lab capability verification. Cross-border testing mutual recognition (Bletchley, Seoul, Paris commitments). Result comparability governance.

Compute Governance

AI Compute Governance

Frontier compute threshold monitoring. FLOP-based classification of AI training runs. UK AI Safety compute cluster registration. Semiconductor supply chain risk intelligence. Export control compliance for advanced AI chips. NVIDIA H100/H200/B200 tracking.

Model Cards

Model Card & System Card Governance

Standardised model documentation requirements. Capability disclosure framework. Training data provenance reporting. Safety evaluation result publication. Deployment context documentation. Cross-reference with EU AI Act Article 50 transparency requirements.

International

International AI Safety Coordination

Bletchley Process coordination. Seoul AI Safety commitments tracking. Paris AI Action Summit alignment. GPAI (Global Partnership on AI) governance. OECD AI Principles compliance. US-UK AI Safety bilateral coordination. G7 Hiroshima AI Process integration.

Incident Response

AI Incident Response Framework

National AI incident reporting mechanism. Severity classification taxonomy. Cross-sector incident correlation. Rapid response protocol activation. Post-incident forensic analysis. Public disclosure governance. NCSC AI cyber incident coordination.

Biosecurity

AI-Biosecurity Governance

AI-enabled biological threat assessment. DNA synthesis screening integration. Dual-use biological knowledge governance. WMD-relevant capability gating. Biosecurity advisory board coordination. CBRN uplift measurement methodology. Porton Down coordination.

Cyber

AI-Cybersecurity Integration

AI-enabled cyber offence capability assessment. Vulnerability discovery model governance. Autonomous exploit generation risk. AI-powered phishing and social engineering detection. NCSC AI threat intelligence sharing. Critical national infrastructure AI risk assessment.

Data

AISI Research Data Lab

Centralised evaluation data repository. Cross-model benchmark harmonisation. Longitudinal safety capability tracking. Open science governance for safety research. Secure data sharing with international partners. Anonymised threat model publication pipeline.

Parliamentary

DSIT Select Committee AI Safety Scrutiny

AI Safety Institute annual report to Parliament. Frontier model evaluation summary publication. International cooperation progress reporting. Funding and resource adequacy evidence. Civil society engagement accountability. Science and Technology Committee coordination.

⚡ 8 Transformation Priorities

1. Automated Frontier Evaluation Pipeline

Continuous pre-deployment evaluation of frontier models. Automated capability threshold detection. Real-time alerting when models cross safety thresholds. Integration with compute cluster monitoring for training run surveillance. Evaluation-as-a-service for UK government departments.

2. Cross-Model Systemic Risk Intelligence

Multi-model convergence risk analysis. AI ecosystem health monitoring. Model capability trajectory forecasting. Compute-capability relationship modelling. Emergent capability prediction. Systemic risk early warning for AI Safety Board.

3. Structured Adversarial Testing Automation

Automated red-team orchestration across 28 risk categories. Adversarial prompt library curation and versioning. Multi-modal attack vector testing (text, image, audio, code). Red-team result reproducibility governance. Cross-lab testing standardisation.

4. International Testing Mutual Recognition

UK-US AI safety testing bilateral framework. EU AI Office coordination for Article 50 convergence. GPAI safety evaluation methodology harmonisation. Testing result portability across jurisdictions. International safety benchmark co-development.

5. Compute Threshold Enforcement

Real-time compute monitoring for UK training clusters. FLOP-based classification automation. Semiconductor export control verification. Cloud compute registration and tracking. Training run notification system. Cross-border compute governance coordination.

6. AI Incident Intelligence Network

National AI incident reporting platform. Cross-sector incident correlation engine. Severity classification automation. Rapid response protocol orchestration. Incident trend analysis and early warning. Public transparency report generation.

7. Biosecurity-AI Convergence Governance

AI-enabled biological threat monitoring. DNA synthesis screening AI governance. Dual-use knowledge access control. WMD capability gating enforcement. International biosecurity-AI coordination. CBRN uplift real-time assessment.

8. Parliamentary Accountability & Transparency

Quarterly AI Safety Institute progress dashboards. Frontier evaluation anonymised summary publication. International cooperation achievement reporting. Civil society engagement metrics. Open science publication pipeline. DSIT Select Committee evidence automation.

🔧 6 MCP Servers

Evaluation

dsit-aisi-frontier-evaluation-mcp

Pre-deployment frontier model evaluation. Capability threshold detection. Safety fine-tuning robustness testing. Automated evaluation pipeline orchestration. Cross-model benchmark harmonisation.

Red-Team

dsit-aisi-red-team-orchestration-mcp

Structured adversarial testing across 28 risk categories. Automated prompt generation. Multi-modal attack vector testing. Red-team result reproducibility governance. Cross-lab coordination.

Systemic Risk

dsit-aisi-systemic-risk-monitor-mcp

Cross-model systemic risk evaluation. Capability trajectory forecasting. Emergent capability prediction. Compute-capability modelling. AI Safety Board alerting.

Incident

dsit-aisi-incident-response-mcp

National AI incident reporting. Severity classification. Cross-sector correlation. Rapid response orchestration. Post-incident forensics. NCSC coordination.

Compute

dsit-aisi-compute-governance-mcp

Frontier compute threshold monitoring. FLOP-based classification. Semiconductor export control. Cloud compute registration. Training run notification. Export compliance.

International

dsit-aisi-international-coordination-mcp

Bletchley Process tracking. Seoul/Paris commitments. GPAI governance. OECD AI Principles compliance. US-UK bilateral coordination. G7 Hiroshima integration.

🚫 Red Lines (Never Crossed)

🤝 5-Step Engagement Model

1
Discovery: Map DSIT AISI evaluation maturity. Identify frontier model access gaps. Benchmark against Bletchley, Seoul, and Paris AI Safety commitments. Assess international testing ecosystem readiness.
2
Governance Design: Deploy DEFONEOS MCP servers against AI Safety Institute use cases. Configure red-line enforcement for frontier evaluation and compute governance. Establish DSIT-NCSC-GCHQ oversight protocols.
3
Pilot: Run 90-day pilot across 3 frontier model evaluations. Measure evaluation throughput, red-team coverage, and incident response speed. Collect AI Safety Board and developer feedback.
4
Scale: Roll out across all AISI evaluation streams. Integrate with UK compute cluster monitoring. Deploy across international testing partner network.
5
Assure: Continuous audit-grade AI safety reporting. Frontier model evaluation transparency. Parliamentary evidence generation. Annual DSIT Select Committee review of AI Safety governance.
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