Agentic AI in Cybersecurity: Beyond Triage to Strategic Threat Hunting

With a global shortfall of around 4 million cybersecurity workers, agentic AI is edging SOCs beyond triage into proactive threat hunting, enabling security teams to operate at a maturity level once deemed impossible. The piece notes that triage bottlenecks persist: organisations handle about 960 alerts per day across more than 30 tools, and it takes an average of an hour and ten minutes to review each alert, leaving critical issues at risk.

It cites claims that 81% of SOC staffers spend two hours daily on triage and that 62% of alerts are ignored, underscoring the human bottleneck despite abundant telemetry. Agentic AI is described as aggregating telecoms, enriching alerts, investigating autonomously, mapping attack paths and delivering human‑readable reports, thereby freeing analysts for strategic work.

According to CSO Online, agentic AI can reduce mean‑time‑to‑respond by up to 10×, illustrating the potential of AI‑augmented defence to bridge reasoning and human intuition. The article defines agentic AI as AI that thinks and acts through software agents to achieve security goals in collaboration with humans.