Digital Sovereignty in Practice: How AI Is Reshaping National Security

Dream is a sovereign AI and national cyber resilience company built specifically for governments and operators of critical infrastructure.

We are not an enterprise cybersecurity company adapting commercial products for public sector use. From the beginning, our focus has been national environments - their scale, regulatory constraints, legacy infrastructure and security requirements.

We pioneered an AI-native approach to cyber defence for governments, which led to the development of our Cyber Language Model - a model trained specifically on cyber data and deployed inside sovereign governmental environments.

What makes Dream different is that we build AI systems designed to operate within national constraints - on-premise, sometimes air-gapped, aligned with regulation, and architected for population-scale infrastructure rather than enterprise networks.

2. Why are you in India?

India is one of the most important AI markets globally, not only because of its engineering talent, but because of its national digital scale.

India has built and successfully operated some of the world’s largest digital public systems. That experience reflects an understanding of deploying technology at population scale while balancing innovation with governance.

AI is increasingly intertwined with national security and cyber defence. India is investing seriously in both domains, guided by a strong emphasis on strategic autonomy and digital sovereignty.

We also see meaningful alignment between India and Israel in cyber, defence and advanced technologies. Under Prime Minister Narendra Modi’s leadership, collaboration between the two countries has deepened significantly in high-technology and security fields. Our presence in India reflects a long-term commitment to cooperation, knowledge exchange, ecosystem development and strategic partnership.

3. What is Sovereign AI in practical terms?

Sovereign AI means that a country can train, deploy and operate artificial intelligence on its own data, inside its own systems, under its own governance.

Sensitive national data does not need to leave the country. Models operate within regulated, on-premise or even air-gapped environments. Infrastructure remains under national control.

It is not about isolation. It is about accountability, control and strategic autonomy.

For governments, particularly those operating at India’s scale and complexity, that distinction is critical.

4. Dream began in cyber. Why expand into sovereign AI?

We began in cyber because governments are among the most targeted entities in the world by nation-state actors and sophisticated threat groups.

Yet almost all cybersecurity companies build primarily for enterprises. Government environments are fundamentally different: legacy systems, air-gapped networks, strict compliance requirements and national-level risk exposure.

We approached cyber as a data challenge, not merely a tooling challenge. That led us to build the Cyber Language Model, trained specifically on cyber data and deployed inside sovereign environments.

After deploying these capabilities, governments began asking whether the same AI architecture could support intelligence, defence coordination, financial oversight, healthcare systems and other national domains.

Sovereign AI therefore emerged as a natural evolution of an architecture already designed for national use.

5. How is AI changing cyber defence?

Attackers are already using AI to automate reconnaissance, vulnerability discovery and targeting.

The imbalance between attackers and defenders is widening.

If defenders do not deploy AI, that gap will continue to grow.

Our focus is defensive AI - improving national visibility, accelerating coordinated response and enabling predictive resilience. The objective is to shift from reactive defence towards proactive and anticipatory capability.

For countries investing in digital infrastructure at scale, including India, cyber resilience is inseparable from economic stability and public trust.

6. How do you see India’s position compared to Europe and other regions?

Globally, the United States and China have built substantial AI ecosystems where governments and commercial companies collaborate closely.

Europe recognises the importance of sovereign AI, but its ecosystem is still consolidating. There are fewer AI companies working directly with governments at national scale, and investment remains fragmented.

India occupies a distinctive position. It combines digital population scale, engineering depth, national ambition and strong leadership direction.

The strategic opportunity for India lies in aligning AI development early with national priorities - security, infrastructure resilience, defence modernisation and digital governance.

Countries that embed sovereignty and security into their AI architecture from the outset retain greater flexibility and strategic independence over time.

The strengthening of India–Israel cooperation in technology and defence provides a solid foundation for this alignment.

7. How does Dream’s system actually work?

At a high level, we treat national cyber and AI challenges as data challenges.

First, we structure fragmented and unstructured data across national systems - logs, alerts, reports and infrastructure information.

Second, we build sector-specific models trained and deployed inside sovereign environments.

In cyber defence, our system operates across three layers: threat intelligence, posture management, and detection and response.

The system is designed to function within controlled environments, including on-premise and air-gapped networks, without intrusive installation.

The objective is to move from searching data to understanding it - and ultimately to predicting risk before it materialises.

For large democracies such as India, that shift is strategic as much as technological. It ensures that as AI becomes central to national capability, decision authority remains sovereign and aligned with national interests.

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