The agentic SOC: how AI is changing detection and response

Every layer in this series produces signals. Identity tools flag suspicious logins, EDR flags odd processes, the network flags unexpected traffic, email security flags impersonation. None of it matters unless someone is watching those signals around the clock and acting on them fast. For most of cybersecurity’s history that job belonged to human analysts in a security operations centre, and they were drowning. AI is now rebuilding the SOC from the inside, and for once the technology is firmly on the defender’s side.

This is the ninth post in our series on how AI is reshaping each layer of your security stack, it is where all the previous layers come together, and the full ecosystem overview ties the whole series together.

The problem the SOC was drowning in

The core failure of traditional security monitoring is alert fatigue. Large security operations centres receive anywhere from 10,000 to 50,000 alerts a day, and industry analysis suggests 30 to 40 percent are never reviewed at all. Manual triage and investigation push response times into hours or days. Set that against attackers who, as the earlier posts described, now move in minutes, and the maths simply does not work. A monitoring setup that cannot keep pace with the threat is not protection, it is a comforting illusion.

What an agentic SOC actually is

An agentic SOC uses AI agents that act on their own rather than waiting to be asked. This is the important distinction: an AI assistant answers a question when prompted, while an AI agent runs a defined workflow autonomously. In a modern SOC, agents pick up each new detection the moment it fires, gather the context a human analyst would have collected by hand, correlate signals across endpoint, identity, network, and cloud, and take initial containment action. It is not a chatbot bolted onto a dashboard. It is intelligence working as the operating layer of the security team.

The numbers that make the case

The gains are not subtle. Leading agentic platforms now automate around 85 to 90 percent of tier-one triage. Time spent per alert drops from roughly 45 minutes of manual work to under two minutes. False positive rates fall from the 60 to 80 percent that plague traditional tooling to under 10 percent. Alert noise is cut by more than half. The point of all this is not to remove people. It is to stop burning your most skilled people on repetitive triage so they can focus on the threats that need real judgement.

AI as the workforce, humans as the strategic brain

That phrase captures the model well. AI handles the volume at machine speed; humans handle judgement, business context, novel threats, and the high-risk decisions that should never be fully automated. The role of the analyst is shifting from clearing a tier-one queue to overseeing AI-driven processes, validating critical actions, hunting for the threats that slip past automation, and investigating the complex cases like lateral movement and genuinely new attack techniques. Containment of a high-confidence threat can happen in seconds, but a human stays accountable for the decisions that carry real consequences.

The honest reality for a small or mid-sized business

Here is the part the vendors tend to skip. You are not going to build an agentic SOC. Almost no Australian SMB can staff a genuine 24/7 security operations centre or justify an enterprise AI-SOC platform on its own. The way you get these capabilities is by partnering with a provider whose SOC already runs them. We deliver detection and response through a 24/7 security operations centre powered by Huntress, combined with our own service desk, so the signals coming off your EDR, your identity tools, and the rest of the stack are watched and acted on at all hours rather than stacking up in a queue nobody reads. That is the backbone of our managed cyber security.

A word of caution on the hype

“AI SOC” is one of the most over-marketed phrases in security right now, and not all of it is real. A large language model wrapped around a dashboard is AI in the SOC, not an agentic SOC. The questions that actually matter are simple: are your mean time to detect and respond genuinely improving, and is a named human accountable for high-risk actions? Be wary of anyone promising full autonomy with no human in the loop. The strongest setups pair machine speed with human judgement, they do not replace it.

What you should do now

Stop measuring whether you have alerts, and start measuring whether they are answered. A pile of unmonitored alerts is a liability, not a defence. The real question is whether every meaningful signal is triaged and responded to, around the clock.

Ask your provider what is automated and what a human signs off. You want machine-speed triage and containment, with human accountability for consequential decisions. If they cannot explain that line clearly, that is a red flag.

Confirm someone is actually watching out of hours. Attacks favour nights and weekends precisely because nobody is home. Contact Epic IT to find out how our 24/7 SOC would cover your environment.

Next in the series: the finale, why no single tool wins and how the whole ecosystem fits together.