AI Has Changed the Speed of Cybersecurity. Your Business Needs to Keep Pace.

Artificial intelligence is no longer a future threat or a future advantage in cybersecurity. It's here. And it's changed the fundamental operating tempo of the entire game.

For years, the security conversation has been binary. AI will either save us or destroy us. Defenders will use it to detect threats faster. Attackers will use it to find vulnerabilities quicker. Both statements are true. But that framing misses the real point. AI hasn't created a new problem. It's accelerated an existing one: the speed mismatch between attack and defence.

Attackers have always been faster. Now they're faster with tools that scale.

What Defenders Can Do Now

The upside is real. Engineers can use AI to detect anomalies in network traffic that would take humans weeks to spot. Developers can identify and patch vulnerabilities before they ship code. Security teams can analyse threat patterns and respond to incidents in hours instead of days.

This is genuinely useful. It changes the economics of defence. Speed of detection and response matters. AI makes that possible at a scale that wasn't realistic before.

But here's the catch: your attackers have access to the same tools.

What Mythos Proved

In April 2026, Anthropic announced Claude Mythos, an AI model it deemed too dangerous to release to the public. That decision alone should tell you something.

Anthropic's own assessment found that Mythos Preview autonomously identified thousands of high and critical severity vulnerabilities across real codebases. When professional security contractors independently reviewed the findings, they agreed on severity ratings in 89% of cases. This wasn't a demonstration in a controlled lab environment with simplified targets. It was autonomous AI security research operating at a level that matches, and in some areas exceeds, human experts.

The UK's AI Security Institute evaluated Mythos and found that prior to April 2025, no AI model could complete expert-level cyber tasks at all. Mythos changed that. The progression from barely completing beginner tasks to autonomously exploiting vulnerabilities across every major operating system and browser happened in under two years.

AI scientist Yoshua Bengio, a Turing Award winner, put it plainly: a new threshold had been breached. Advanced AI was now capable of discovering large numbers of previously unknown zero-day vulnerabilities that could be used to attack banking systems, government networks, hospitals, and critical infrastructure.

Anthropic isn't releasing Mythos publicly. But the capability it demonstrates doesn't stay contained. Other frontier models already have comparable functionality in specific areas. The cost and expertise required to launch sophisticated attacks will keep falling.

Why This Matters for Your Business

You don't need to understand the technical details of how Mythos works to understand what it means for your business.

It means the attacker who previously needed a skilled team of researchers to find vulnerabilities in your systems can now automate a significant portion of that work. It means the time between a vulnerability existing and an attacker finding it is shortening. It means the assumption that you can patch on your own schedule is becoming less safe.

According to SoSafe's Cybercrime Trends 2025 report, 87% of global organisations experienced an AI-powered cyberattack in the past year. That's not a projection. That's the current state of play.

For a founder, the implication is straightforward: your security response time is no longer a nice-to-have. It's a business-critical function.

If your team detects a vulnerability and takes three weeks to patch it, that window is now more dangerous than it was two years ago. If you find evidence of a breach and take days to respond, you're already behind. If your infrastructure hasn't been tested against modern attack patterns recently, you're running blind against an adversary that's getting faster.

Speed Requires Foundation

Speed doesn't come from panic or from bolting on more tools. It comes from knowing what you're protecting, understanding your vulnerabilities before attackers find them, and having processes in place to respond when something goes wrong.

Vulnerability management becomes non-negotiable. Penetration testing shifts from annual tick-box exercise to continuous validation. Incident response planning stops being a document you write and forget, and becomes something you practice and refine.

The businesses that will handle this well aren't necessarily the ones with the biggest budgets. They're the ones with clear visibility of their assets, an honest understanding of their exposure, and the discipline to act on it.

The Honest Assessment

There's no perfect defence against AI-accelerated attacks. There never will be. But there's a significant difference between a business that understands the new speed of the game and is actively preparing for it, and one that assumes their current security posture is still fit for purpose.

Mythos didn't create the threat. It confirmed the direction of travel. The question isn't whether AI will be used to attack businesses like yours. It's whether you'll be ready when it is.

FAQ

What is Claude Mythos?

Mythos is an AI model developed by Anthropic, announced in April 2026. Anthropic deemed it too dangerous to release publicly due to its ability to autonomously discover and exploit security vulnerabilities across major operating systems, browsers, and codebases. It represents a significant step change in what AI can do in a cybersecurity context.

Does this mean every business is now at risk of AI-powered attacks?

The risk isn't theoretical. According to SoSafe's Cybercrime Trends 2025 report, 87% of global organisations experienced an AI-powered cyberattack in the past year. The sophistication and accessibility of these attacks is increasing. No business is too small to be a target.

Should I be using AI tools in my own security?

Yes. If attackers have access to AI-assisted reconnaissance and exploitation, defenders need access to AI-assisted detection and response. The question isn't whether to use it but how to use it effectively.

What's the first step a founder should take?

Understand what you're protecting. Map your critical assets, your data flows, and your biggest exposure points. Then test those against the threat landscape as it exists today. An annual penetration test and quarterly vulnerability analysis is the minimum starting point.