Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For decades, highly regulated sectors have taken a cautious approach to cybersecurity, and for organisations in industries such as banking and finance, healthcare, insurance and critical national infrastructure, the instinct has been to retain ownership of security operations. That model is now under strain. Escalating cyber threats, regulatory scrutiny, and a growing skills shortage are exposing the limits of traditional Security Operations Centres (SOCs). At the same time, AI-driven technologies are maturing rapidly and forcing a strategic rethink.

Cybersecurity loves shiny new things. Nowadays, every vendor preaches the same thing: AI in everything. From AI-powered predictive analysis and autonomous response to behavioral analytics, elements like these have become the underlying notion of cybersecurity.

Artificial intelligence is no longer a future ambition for UK organisations. It is already shaping how decisions are made, how services are delivered, and how quickly businesses can respond to change. From automation and analytics to customer engagement and operational optimisation, AI is becoming an integral part of the modern enterprise.

Most major security breaches in the last five years had one thing in common. Not just unpatched vulnerabilities, but a decision someone made to live with it. A VPN credential that never got rotated, an admin account that outlasted the employee who owned it, or a privilege elevation request approved because it was easier than asking questions. The details change, but the pattern doesn't. This isn't a story about sophisticated attackers. It's a story about blind spots, misplaced trust, and what happens when organizations mistake the absence of an incident for the presence of security.

Self-assurance and confidence is an essential and hard-earned skill for business leaders. Boards are expected to provide clarity during volatility and reassurance during disruption. However, cyber security presents a challenge: technology evolves continuously, threat actors adapt at speed and regulatory scrutiny continues to intensify. Within this environment, many organisations express belief in their cyber resilience, even as the underlying systems and risks evolve beneath them. In this context, confidence rooted in assumption can diverge quickly from assurance grounded in operational evidence.

In recent weeks, the Cybersecurity and Infrastructure Security Agency (CISA), National Security Agency (NSA), and the National Cyber Security Centre (NCSC) have all issued warnings about the growing risk of cyber activity attributed to Iranian-aligned actors. Their message is clear: the geopolitical situation is volatile, and organisations should assume they may be in scope for retaliation. The agencies all highlight similar weaknesses being repeatedly exploited: unpatched vulnerabilities, weak identity controls, and exposed remoteaccess services.

Transforming operations to embrace artificial intelligence (AI) is the leading challenge for organisations in every sector right now. Arguably, urgency is even greater in the technology sector, where leaders are acutely aware of AI's potential to boost productivity and efficiency. In the cybersecurity subset of technology, the drive is stronger still, as vendors seek to mitigate AI-accelerated cyberattacks and help customers react faster, protect better, and achieve more with the limited budgets that characterise today's economy.

The UK government's new £210 million Cyber Action Plan signals an important shift in how cyber risk is being addressed at a national level. Designed to strengthen cyber defences across government departments and the wider public sector, the plan establishes a new Cyber Unit and introduces stronger expectations around resilience, accountability and operational capability.