Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Fake Maccy clipboard manager drops an infostealer that masquerades as Finder.

The generative AI revolution isn't on the horizon. It's already reshaping the way your employees work. Across every industry, workers are adopting AI-powered productivity tools at a pace that far outstrips most organisations' security and governance programmes. The question is no longer whether your organisation will use AI, but whether you're prepared to use it securely. The challenge is real, but so are the misconceptions that keep organisations from acting. Let's break down the four most common excuses and explore what it takes to build a data security foundation ready for the AI era.

Today's Security Operations Centres (SOCs) operate under the pressure of data proliferation, high alert volumes, and tight budgets. Most SOC leaders face a data dilemma: they must choose which data to analyse and which to ignore. That choice directly determines threat detection capabilities and impacts the security posture of the business.

Ask most security leaders how their last significant budget increase came about, and the honest answer is rarely "we made the case and won it." It's usually "something happened." A breach, a near-miss, a competitor's headline, an audit finding that couldn't be ignored or a new regulation with a deadline attached. Security spend still moves in response to events far more often than it moves in response to argument, and that has quietly shaped how the function operates: always slightly behind the risk, always justifying itself against the last incident rather than the next one.

Most organisations now recognise that a serious cyber incident is likely, but the real question is whether they can keep running when it happens. A major incident can disrupt services, damage revenue, expose governance weaknesses and test customer trust as events unfold. The greatest risk often sits in the gap between recognising that reality and having a recovery plan that works under pressure. That is where financial loss, operational disruption and regulatory scrutiny can quickly escalate.

The technology industry is very comfortable talking about the future. We talk about AI, automation, cyber resilience and digital transformation as though the next decade is something we can design, optimise and secure. But there is a more basic question the sector needs to confront. Who gets to be part of it?

In a perfect world, every business would design its network from day one with the need for scalability, connectivity from anywhere and zero-trust security in mind. In the real world, of course, few organisations have this luxury. Most have entrenched technology investments in place, and overhauling them to conform with modern network access and security paradigms isn't always feasible.

Most people have accepted a LinkedIn request from someone they don't know. The profile looks credible. Professional photo, solid work history, a few mutual connections. Their job title says recruiter and you accepted it without thinking twice. That's the point.