Send your CV

    Attach a CV (Accepted file types: pdf, doc, docx, rtf.)

    Apply for

    From AI Innovation to Cyber Security Risk: What Businesses Are Overlooking in 2026

      Attach a CV (Accepted file types: pdf, doc, docx, rtf.)

      Share a brief

        From AI Innovation to Cyber Security Risk: What Businesses Are Overlooking in 2026

        From AI Innovation to Cyber Security Risk: What Businesses Are Overlooking in 2026

        A recent article in The Guardian covering Anthropic’s latest AI model, Claude Mythos, highlights just how quickly artificial intelligence is evolving. The piece points to a shift towards models with more advanced reasoning, stronger context awareness, and a growing ability to operate with a level of autonomy that goes beyond what most businesses have previously worked with.

        For many organisations, that’s exciting. It promises efficiency, better decision-making, and a real competitive edge.

        But there’s a gap emerging that we’re seeing more frequently in conversations with clients.

        AI adoption is accelerating, but cyber security readiness is not keeping pace.

        The Speed of AI Adoption Is Outpacing Cyber Strategy

        AI is firmly on the boardroom agenda. Investment is being approved, tools are being rolled out, and teams are being encouraged to experiment and innovate.

        What’s often missing is the same urgency around security.

        As models like Claude Mythos become more advanced, they also become more complex and harder to control. Systems are starting to interpret nuance more effectively and operate with greater independence, which introduces a new layer of risk that many organisations are only just beginning to consider.

        From a cyber perspective, this creates challenges around how AI systems are secured, monitored, and governed.

        Sensitive data is being handled in new ways. AI-driven tools are opening up additional entry points. And in many cases, businesses are still working out how to properly audit and understand the decisions these systems are making.

        This is not a future problem. It is already happening.

        A New Kind of Cyber Risk Is Emerging

        Traditional cyber security has focused on protecting infrastructure, networks, and endpoints.

        AI shifts that focus.

        Organisations now need to think about securing models, data pipelines, and the outputs generated by AI systems. When technology starts to operate with more advanced reasoning, the impact of misuse, or even unintended outcomes, becomes much greater.

        There is also the external threat to consider.

        More capable AI does not just benefit businesses. It also gives bad actors access to more sophisticated tools. Phishing becomes more convincing. Social engineering becomes harder to spot. Threats can be developed and deployed faster than before.

        The landscape is changing, and it is changing quickly.

        The Talent Gap Is Growing, Quietly

        This is where the real issue starts to surface.

        Many organisations are investing in AI capability without investing in the people needed to secure it.

        Cyber teams are already under pressure. Introducing AI without the right expertise adds another layer of complexity that is difficult to manage without additional support.

        We are seeing a growing demand for professionals who can bridge the gap between cyber security and AI, including those with experience in governance, risk, and compliance, as well as engineers who understand how to secure AI-driven systems.

        The challenge is that this talent is limited, and competition for it is increasing.

        Why Hiring Strategy Needs to Catch Up

        One of the biggest risks right now is not the technology itself, it is the assumption that existing teams can absorb it.

        In some cases, that may be possible with the right upskilling. In many others, it is not.

        Businesses that are moving quickly with AI need to take the same approach with their cyber hiring strategy. That means thinking more broadly about team structure, identifying where new expertise is needed, and acting early rather than reactively.

        Waiting until a gap becomes obvious often means hiring in a more competitive market, with fewer options available.

        How we can help

        At Broster Buchanan, we are already seeing a shift in how organisations approach cyber security hiring as AI becomes more embedded in day-to-day operations.

        We work closely with clients to identify emerging skill gaps, shape future cyber team structures, and access talent with both cyber and AI exposure.

        Whether it is specialist hires or leadership roles, the focus is on building capability that keeps pace with the technology being introduced into the business.

        AI is not slowing down.

        The organisations that will benefit most will not just be the ones adopting it quickly, but the ones taking a considered approach to managing the risks that come with it.

        That starts with having the right people in place.

        If your business is investing in AI but has not yet reviewed its cyber security capability, now is the time to take a step back and assess whether your team is set up for what comes next.

        Broster Buchanan supports organisations across the UK with specialist cyber and technology recruitment. If you are looking to strengthen your cyber team or want a clearer view of the skills you will need in the next 12 to 24 months, our cyber security recruitment team would be more than happy to chat.

        Get in touch today to discuss how we can support