Sensitive models never leave sovereign data centers; only encrypted parameter updates travel across networks.
complex negotiations, and face-to-face guidance. Constituents gain friction-free access to services, and governments stretch budgets further by targeting resources with surgical precision.
4
The impact on cybersecurity
AI-native architecture both widens and shrinks the attack surface. On the one hand, more devices and automated pipelines create more entry points. On the other, decentralized intelligence reduces single points of failure: compromise an edge node and it can be quarantined without crippling the whole network.
Governments are adopting a three-layer defense:
1. AI for AI Defense – Machine learning models watch logs and network flows to spot malicious behavior in real time, then isolate assets automatically.
2. Knowledge Sovereignty – Sensitive models never leave sovereign data centers;
only encrypted parameter updates travel across networks. This thwarts exfiltration and future quantum decryption threats.
3. Digital Air Gaps – The most critical algorithms( nuclear command, national identity registries) run on physically isolated hardware, updated via one way data diodes.
Cyber teams also simulate attacks on algorithms, injecting malicious data to test resilience, while zero trust principles ensure every agent verifies the identity and authorization of every other. As AI becomes defender and target alike, cybersecurity transforms into a continuous, automated game of adversarial chess— a game government must play to win public trust.
5
Improving decision-making: The human AI partnership
The real revolution is intellectual. Simulations and scenario planning and testing let leaders stress
Sensitive models never leave sovereign data centers; only encrypted parameter updates travel across networks.
12 Bold ideas to power progress