AI in Cybersecurity: Separating Operational Reality from Speculation

From a cybersecurity perspective, the key value does not lie speculating about extreme scenarios, but in applying structured analysis to understand how these technologies are realistically adopted by threat actors. By studying where AI delivers real operational advantage and where it does not, we can build informed judgments about how attack methods are likely to change over time.

For leadership teams, the hard part is deciding which emerging risks should be prioritized. AI will influence parts of the threat ecosystem, but it does not remove the need for the fundamental security controls and intelligence-led security work. 

The real development is not a single model. It is the pace of change. In less than two years, we have moved from experimentation to systems that can reason, plan, and act across large parts of an attack chain. This means that we are approaching a point where machine-driven operations move faster than humans can track in real time. That changes how attacks are executed and how deffenders should work.

At Truesec, we practice what we preach. As an example, our offensive security teams continuously test and evaluate AI-driven tooling to understand what actually changes attacker capability. We actively use these insights in how we advise clients on detection, response, and security architecture. The focus is pragmatic and evidence-based.

From a threat intelligence perspective, agent-based models are becoming standard tools for threat actors. As these capabilities spread, they lower the barrier for less capable actors while increasing speed, scale, and persistence for advanced and state-aligned groups.

The most meaningful shift is not entirely new tactics, but the way existing activities are executed. Reconnaissance, target selection, and preparation can now be carried out at volumes and tempos that were previously impractical. This affects who attackers choose to target, how quickly they adapt, and how long they can sustain campaigns.

Truesec’s assessment is that agentic AI models do not fundamentally change defensive work overnight but hey do reinforce a trend highlighted in our Annual Threat Report 2026. Attacker speed continues to increase through automation and AI-assisted decision-making. When attackers operate at machine pace, defense cannot remain bound to purely human-paced processes.

For executive leadership, this does not call for panic or wholesale technology shifts. It calls for ensuring that security organizations can adopt automation safely, govern its use, and increase response speed without losing control or accountability.

In uncertain conditions, the sensible approach is vigilance. Review detection and response capabilities, dust off playbooks, pressure-test assumptions about speed and scale, and ensure governance keeps up with automation.

If these developments raise questions for your organization, Truesec can provide guidance. We work closely with boards, executives, and security teams across Europe and understand the operational realities involved. We are available for practical discussions on what matters, why it matters, and what to consider next.