Ex‑Pegasus CEO Urges National AI Control to Protect Security

Jonas Håkan, the former chief of the controversial Pegasus spyware firm, warned governments on Thursday that an over‑dependence on artificial‑intelligence services supplied by U.S. corporations could expose critical national infrastructure to hidden vulnerabilities. In a public statement, Håkan urged policymakers to invest in sovereign AI capabilities that are under domestic oversight, arguing that such an approach would better protect national security interests.

The call comes amid growing scrutiny of Pegasus, a surveillance tool that was allegedly deployed to monitor politicians, journalists and business leaders across several countries. While the software itself has been the focus of investigations and legal actions, Håkan’s remarks shift the conversation to the broader ecosystem of AI technologies that now underpin many governmental functions, from data analysis to threat detection.

Håkan contended that reliance on foreign AI platforms creates a strategic blind spot, as the underlying algorithms, data pipelines and model updates are controlled outside the jurisdiction of the user state. He suggested that sovereign AI development—whether through state‑funded research labs, public‑private partnerships, or regulated domestic firms—could mitigate the risk of backdoors, data leakage or policy manipulation originating from abroad.

Experts note that the push for home‑grown AI is not new; several nations have already launched initiatives to nurture local talent and create regulatory frameworks that limit foreign tech influence. However, the scale and speed of AI advancement pose challenges, especially for smaller economies that may lack the resources to match the research budgets of U.S. tech giants. Balancing security concerns with the need for competitive AI services will likely require coordinated policy measures, including incentives for domestic innovation and clear guidelines on data sovereignty.

While Håkan’s perspective is rooted in his experience with a tool that has sparked international controversy, his remarks underscore a broader debate about digital autonomy in an era where AI is increasingly woven into the fabric of governance. As countries grapple with the implications of AI‑driven decision‑making, the emphasis on sovereign solutions may shape future legislative agendas, funding priorities and cross‑border collaborations in the tech sector.