As a cybersecurity professional with more than 25 years’ experience, I have always known security to be fast-moving. But the pace of change being driven by AI feels different. This is not just another evolution in technology; it is a fundamental shift in how threats emerge, how quickly they scale and how organisations need to respond.

Organisational AI appetite has reached fever pitch. However, beneath this surge of ambition lies a growing disconnect: while the will to innovate is clear, the roadmap for execution is not.

In the rapid evolution of the digital enterprise, 2026 has become the year where the promise of AI met the reality of the cyber frontline. For many IT leaders, the initial excitement surrounding AI has been replaced by a sobering realisation that the technology is maturing faster than our ability to secure it.

Read why penetration testing is evolving from a periodic, report-led exercise into a continuous, platform-driven capability that provides real-time visibility, risk-based prioritisation, and ongoing remediation to reduce cyber exposure.

Read how modern CISOs are shifting penetration testing from a one‑off audit exercise to a continuous, risk‑driven vulnerability management process that ensures issues are prioritised, fixed, and proven closed.

AI is rapidly becoming the defining technology of our time. Across every industry, organisations are experimenting, piloting and scaling AI to drive productivity, accelerate insights and unlock new value. But there is a growing risk that cannot be ignored: deploying AI without the right security foundations turns innovation into exposure.

For many organisations, circularity starts and stops with recycling. It’s visible, easy to measure, and widely understood. But focusing only on what happens at the end of an asset’s life means missing the biggest opportunity: keeping technology in use for longer.

CIOs are being asked to scale AI quickly—without losing control of security, compliance, or cost. As AI moves from “answering questions” to acting through agents, the goal is to let it move fast inside clear guardrails. That’s where data governance comes in: it’s the control plane that decides what an agent can see, what it can do, and what it can change.

The Intelligence Era demands more than isolated technology decisions. Read how Logicalis and Cisco help organisations build the right ecosystem to scale AI securely, transforming complex infrastructure into a platform for growth.