Security Operations Centers (SOCs) today face unprecedented alert volumes and increasingly sophisticated threats. Triaging and investigating these alerts are costly, cumbersome, and increases analyst fatigue, burnout, and attrition. While artificial intelligence has emerged as a go-to solution, the term “AI” often blurs crucial distinctions. Not all AI is built equal, especially in the SOC. Many existing solutions are assistant-based, requiring constant human input, while a new wave of autonomous, Agentic AI has the potential to fundamentally transform security operations.
This article examines Agentic AI (sometimes also known as Agentic Security), contrasts it with traditional assistant-based AI (commonly known as Copilots), and explains its operational and economic impacts on modern SOCs. We’ll also explore practical considerations for security leaders evaluating Agentic AI solutions.
Agentic AI is defined by autonomy. Unlike traditional AI tools—which function as powerful assistants—Agentic AI systems independently perceive, plan, investigate, and conclude. In the context of SOC operations, Agentic AI acts much like a skilled Tier-1 analyst, autonomously triaging alerts using industry best practices, thoroughly investigating incidents, and providing actionable outcomes with minimal human oversight.
Assistant AI solutions, by contrast, are essentially smart tools waiting for human guidance. A security copilot, for example, can suggest insights or answer analyst questions about an alert, but it won’t proactively investigate without explicit instruction. Every decision, action, or conclusion must first pass through a human analyst.
Consider a scenario involving potential malware:
The crucial distinction here is initiative and autonomy. Agentic AI isn’t just another SOC automation tool like SOARs, it’s an autonomous member of your security team. Unlike traditional SOAR or Hyperautomation tools, it doesn’t need playbooks or scripted workflows. It adapts in real time, triaging and investigating alerts without you having to map out every move.
Also known as AI SOC Analysts, Agentic AI transforms the core of security operations by automating triage and investigation which is often the most time-consuming, high-volume tasks in the SOC. It doesn’t just accelerate existing workflows, it makes them scalable, consistent, and cost-effective.
Agentic AI evaluates every alert as it arrives, around the clock. It triages based on real indicators of risk, not just severity labels, reducing dwell time and surfacing the right threats faster than any human team could.
Unlike basic enrichment or playbook automation, Agentic AI conducts structured investigations that follow lines of questioning an experienced analyst would pursue. Every alert gets the same level of scrutiny, regardless of priority, removing the need to choose between speed and depth.
Traditional SOCs often ignore low- and medium-priority alerts due to time constraints. Agentic AI closes those gaps by investigating everything and ranking results based on actual risk. The result is better prioritization and fewer missed threats.
With no fatigue or bandwidth limits, Agentic AI maintains quality during alert storms and high-pressure moments. It eliminates triage shortcuts and helps avoid costly oversights, regardless of volume.
By offloading repetitive triage and initial investigations (specially around removing the flood of benign alerts from human analyst queue), Agentic AI frees analysts to focus on high-value work like complex investigations and threat hunting. This reduces burnout and improves team retention, a critical factor in a competitive market with persistent skills shortage.
Agentic AI boosts alert coverage and investigative speed without adding pressure to already stretched teams. It helps organizations scale security operations and add capacity in the face of ongoing cybersecurity skills shortages.
By investigating every alert thoroughly and consistently, Agentic AI improves key metrics like dwell time and Mean Time to Investigate (MTTI). Faster detection and deeper investigations reduce risk exposure and mitigate the financial and reputational impact of breaches.
Agentic AI doesn’t replace analysts, it amplifies them. It helps teams scale efficiently, operate more effectively, and achieve better outcomes with fewer resources. The result: stronger security and a healthier bottom line.
Not all agentic solutions are equal. Security leaders must assess solutions based on:
The introduction of Agentic AI represents a fundamental evolution for SOC teams, not a replacement of human analysts, but an augmentation enabling them to perform at their best. As organizations evaluate this transformative technology, choosing a transparent, accurate, and adaptive solution ensures that the SOC remains effective, efficient, and human-centric.
By handling routine investigations autonomously, Agentic AI empowers human analysts to focus on higher-value tasks, transforming the SOC from reactive to proactive and precise. Embracing this evolution today positions security teams to remain resilient against tomorrow’s advanced threats.
Prophet Security exemplifies this evolution by automating alert triage and investigations with exceptional speed and accuracy. Powered by AI Agents, Prophet AI eliminates repetitive manual tasks, reduces analyst burnout, and significantly improves security outcomes. Visit Prophet Security today to request a demo and see firsthand how Prophet AI can elevate your SOC operations.
