Reinventing the SOC with Agentic AI

An Agentic SOC goes beyond standard automation (SOAR) by using AI agents that can reason, plan, and act dynamically. While traditional automation follows rigid, pre-scripted playbooks, Agentic AI assesses context, connects patterns across disconnected data, and determines the best path to investigate a threat—adapting in real-time just like a human analyst would.

No. Google’s vision is that AI empowers defenders, it does not replace them. Agents act as trusted teammates that handle high-volume, repetitive tasks—like initial triage, data correlation, and report drafting. This "force multiplier" effect frees up human analysts to focus on high-value strategic decisions, threat hunting, and complex incident response where human intuition is required.

The security industry is shifting from assisted experiences (where AI offers chatbots or summaries) to autonomous experiences (where AI agents independently perform work). In an autonomous SOC, agents can execute complete workflows—gathering evidence, running analysis, and delivering a verdict—while keeping the human in the loop for final decision-making and oversight.

The Alert Triage and Investigation Agent is designed to autonomously investigate alerts at machine speed. It automatically gathers evidence, runs complex analyses (like decoding obfuscated scripts), correlates signals across tools, and delivers a clear verdict with an explanation. This allows SOC teams to move from "chasing alerts" to reviewing finished investigations.

Yes. Through support for the Model Context Protocol (MCP), Google’s AI agents can connect and interact with tools across your entire IT and security environment—not just Google products. This allows SOC teams to orchestrate complex, multi-vendor workflows and query data from diverse sources using simple natural language.

Organizations adopting Google SecOps with AI agents are seeing dramatic improvements in operational efficiency. Key outcomes include a 50% faster Mean Time to Respond (MTTR), higher detection accuracy, and significantly reduced analyst burnout. By automating the "grunt work," security teams can manage rising threat volumes without needing to proportionally increase headcount.

Yes. Google Cloud adheres to strict data privacy principles. Your data is your data—it is not used to train Google’s foundation models without your permission. All AI interactions within SecOps are built on Google’s secure-by-design infrastructure, ensuring that your sensitive investigation data remains protected and compliant.

The global talent shortage leaves many SOCs understaffed. Agentic AI addresses this by scaling expertise. It provides junior analysts with the context and guidance of seasoned experts, helping them resolve complex cases faster. Simultaneously, it prevents senior analysts from drowning in low-level alerts, improving retention by keeping them focused on challenging, rewarding work.