Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The first to super AI will not only gain a technical edge, but control over the next layer of power, governance and security. If that power concentrates inside a few companies or nations, the future of AI stops being about innovation and starts becoming a fight over control itself.

AI security is making cyber authorities panic because AI is accelerating discovery faster than long term defence planning can keep up. Even post quantum cryptography roadmaps now feel slow against the speed of AI, which means the foundations of trust may need replacing sooner than expected.

Age verification started with pornography. Then social media. Now governments want it on operating systems, in message scanning and across every aspect of your digital life. But nobody is asking the security community how to do this safely. Age verification companies are gathering biometric data, saying they don't retain it, then getting hacked anyway. Encryption backdoors have been discussed for years. And every new regulation is being implemented without consulting the people who actually understand the risks.

Post quantum cryptography could break money by exposing how fragile digital payments and financial trust systems become when encryption starts to fail. Once secure transactions stop being reliably secure, the meaning of value, scarcity and financial control starts to change with it.

The AI singularity may already be here, or far closer than most businesses and governments are prepared to admit. While regulators move slowly, AI capabilities are scaling so fast that power, security and control may already be shifting beneath our feet.

AI coding is disrupting the SaaS market. GRC tools, CRM products and enterprise dashboards that cost hundreds of thousands can now be built internally in weeks using Codex and other AI models. SaaS companies know this is happening, which is why they're locking customers into three to five year contracts. But there's a serious security risk nobody is talking about. If you're vibe coding internal tools and applications, you need continuous security testing to catch vulnerabilities before attackers do. The faster you develop, the faster you need to detect breaches.

AI is breaking modern encryption faster than expected by accelerating attacks on the mathematical problems that protect digital trust. That puts cryptography, secure communications and long term cyber resilience under real pressure as post quantum cryptography becomes more urgent.

AI companies are refusing to release models because the rules around safety, surveillance and misuse are still too weak. When governments cannot keep pace, private companies end up deciding how powerful AI models should be used, controlled and withheld.

The EU just pushed back its AI Act enforcement by 16 months. The US is deregulating. China is governing through infrastructure. And the UK is doing nothing and hoping for the best. Welcome to Razorwire, the podcast where we share our take on the world of cybersecurity with direct, practical advice for professionals and business owners alike. I'm Jim and in this episode, I'm joined by Richard Cassidy, Field CISO at Rubrik, and Jonathan Care, Head of the AI Practice at KuppingerCole.

The AI governance crisis is already here, with innovation moving faster than regulation, oversight and accountability. The real problem is no longer only what AI can do, but who governs it when these systems start reshaping security, business and public life.