Securing the systems of the post-quantum era.

Quantum AI Systems Security exists for a moment few organisations are ready for: the point at which quantum computing and artificial intelligence stop being adjacent disciplines and start rewriting the rules of cybersecurity together. The venture treats that convergence not as a distant scenario but as a design constraint for the systems being built today.

Its founding premise is post-quantum resilience — the discipline of making cryptography, data, and architecture robust against adversaries armed with quantum capability and AI at scale. That means mapping where today's protections will fail, charting a path to quantum-safe foundations, and embedding security that holds as the technology underneath it keeps moving.

Two things have changed that calculus. Enterprises are now running fleets of autonomous AI agents — many of them unregistered, over-permissioned and leaving no usable audit trail — which makes agent identity the fastest-growing attack surface on the estate. And the regulatory floor has risen: DORA supervised, NIS2 enforced, Cyber Resilience Act reporting duties live since September 2026, and EU AI Act transparency obligations applying now, with high-risk requirements sequenced for 2027 and 2028.

The work draws on Professor Kai London's standing across the field: Founder & CEO of Quantum AI Systems Security LLC, a CISO and board cyber security advisor with 25+ years across Banking, Aviation, Defence, Government, and Critical National Infrastructure, and an Honorary Professor in Cybersecurity, AI & Quantum Computing and Researcher at UCL. Research depth and operational reality, applied to the same problem.

For partners, clients, investors, and collaborators in deep-tech security, the invitation is simple: build the defences of the next era before its threats arrive.