Five Eyes Gap Controls

The controls Five Eyes guidance implies but does not specify.

Allied cyber guidance on AI systems names the risks but stops short of implementable controls. This brief closes that gap: eight controls mapped to the guidance’s stated concerns, deployable today.

Data & Model Integrity
01
Provenance tracking for training and context data.

Maintain a verifiable chain of custody for what your models learn from and what your agents read at runtime.

02
Memory and context integrity validation.

Detect poisoning of agent memory and retrieval stores before it steers behavior — checksums, source pinning, and anomaly review.

03
Model and prompt version control with rollback.

Every model, system prompt, and policy version pinned, diffable, and reversible.

Operational Controls
01
Cryptographic agent identity.

Every autonomous system carries its own verifiable identity so actions are attributable across organizational boundaries.

02
Scoped, time-bound authority with least privilege.

Agent permissions expire and are re-granted — standing authority is the exception, not the default.

03
Deterministic containment at the execution layer.

Untrusted actions are blocked before they execute, not detected after — prevention over response.

04
Non-repudiable audit across the agent lifecycle.

Tamper-evident logs from provisioning to retirement, sufficient to reconstruct any incident.

05
Cross-domain accountability agreements.

When agents span vendors or agencies, accountability for their actions is contractually and technically assigned in advance.

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