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Research & Analysis

AI GovernanceInsights

Research-backed analysis on AI risk, data sovereignty, and fiduciary duty — written for board directors who need to act, not just understand.

Pillar ArticleMarch 2026

The Pentagon-OpenAI Deal: Why 'Safety Stacks' Are a Fiduciary Risk

When the Pentagon gains access to AI models, GDPR and contractual safeguards become irrelevant. Directors must build technical kill switches — not rely on legal guardrails.

14 min readRead
ClusterMarch 2026

NATO-OpenAI Trust Gap: Cloud Act & Fiduciary Risk for Board Directors

How the US CLOUD Act creates a legal backdoor into your AI infrastructure — and why your fiduciary duty demands you address it before your next board meeting.

10 min readRead
ClusterMarch 2026

AI Bioweapons & Dual-Use Risk: What Board Directors Must Know

AI models trained on biological data present dual-use risks that most boards have not considered. A governance framework for managing existential technology risk.

11 min readRead
ClusterMarch 2026

Data Sovereignty & AI Privacy Kill Switches

When governments can compel access to your AI systems, contractual protections fail. Technical sovereignty controls are the only defence that survives legal override.

9 min readRead
ClusterMarch 2026

Preventative AI Governance: Building Kill Switches Before You Need Them

Reactive governance fails when AI systems move faster than board cycles. How to implement preventative controls that activate automatically when thresholds are breached.

8 min readRead
ClusterMarch 2026

AI Infrastructure Lock-In Risk: Board Fiduciary Duty

When your AI stack creates vendor dependency, it becomes a fiduciary risk. How boards should evaluate infrastructure lock-in and maintain strategic optionality.

10 min readRead

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