As cyber threats grow in scale and complexity, organisations are rethinking how they build resilience. We asked Datacom’s Director of Cybersecurity Consulting, Adam Kirkpatrick, how AI‑driven automation can help organisations respond more effectively – not just by improving efficiency, but by enabling more consistent, prioritised and scalable security operations.
We’re seeing a fundamental shift. The volume, velocity and sophistication of attacks have increased to a point where traditional models no longer scale. You can’t hire your way out of that problem. Simply adding more people isn’t enough.
Automation has historically been framed as an efficiency play, but increasingly it’s a resilience conversation. Organisations need to think about how automation can help them respond consistently and at scale, while maintaining focus on what matters most.
Resilience is about being able to scale deliberately under pressure. In complex environments, the challenge isn’t just processing more data – it’s understanding what’s important.
That means improving the signal‑to‑noise ratio. If teams are chasing false positives or spending time on low‑value alerts, they’re not focusing on real risk. The role of automation and AI is to help prioritise effectively so analysts can concentrate on the issues that matter.
It’s critical. Automation at scale only works if it’s informed by the right inputs. Without that, you risk amplifying noise rather than improving outcomes.
A threat‑informed approach ensures that playbooks and responses are continually updated based on real‑world intelligence. It moves organisations from reacting in the moment to making informed, proactive decisions.
AI adds another layer of capability, but it needs to be introduced carefully. The starting point is always getting your foundations right – understanding your data, your environment and where your risks sit.
Agentic AI can then help break down complex tasks and execute them efficiently, but it should complement existing approaches rather than replace them outright. Scaling AI should be deliberate and measurable, with clear controls in place.
Human expertise remains essential. We talk about the “human in the loop” – having experienced analysts who can apply judgement where it’s needed.
AI can handle repeatable tasks and reduce workload, but there are always decision points where context and experience matter. The goal isn’t to remove people, it’s to enable them to focus on higher‑value work.
Start with the basics and scale deliberately. Make sure your data and processes are well understood, and put the right safeguards in place.
From there, introduce automation and AI in a way that is controlled, measurable and aligned to your broader security objectives. Done well, it becomes a foundation for resilience – not just efficiency.
As cyber threats grow in scale and complexity, AI is proving to be more than just a new tool – it's a fundamental shift in how organisations build resilience. Datacom combines deep local expertise with global AI capability to deliver human-first AI solutions that help enterprise organisations and government departments respond smarter and scale deliberately.
