Agentic AI is redefining how security operations teams triage and investigate alerts. Traditional SOC automation has focused on executing static playbooks and integrating tools to reduce manual effort. Agentic AI reimagines SOC automation by introducing autonomy and human-level reasoning and analysis.
Agentic AI in the SOC refers to an autonomous system that can carry out investigative workflows without relying on rigid playbooks. It reasons through alerts, dynamically gathers relevant evidence, and explains its conclusions in ways analysts can audit and trust, mirroring how a human would investigate, but with greater scale and consistency.
SOC teams today are tasked with investigating thousands of alerts, often without the time or capacity to give each one the attention it deserves. Static automation helps with volume but lacks adaptability. Agentic AI bridges this gap by bringing investigative reasoning to automation. One additional benefit is its impact on analyst wellbeing. By removing repetitive, low-value investigative work, Agentic AI can help reduce alert fatigue and SOC burnout, contributing to healthier, more sustainable operations.
Unlike SOAR platforms that depend on rigid, prebuilt playbooks and extensive integration work, Agentic AI adapts on its own without manual rules or intervention. This shift from scripted response to reasoning-driven investigation means teams no longer spend cycles building and maintaining automation. Agentic AI is delivering the efficiency, coverage, and adaptability that SOAR never fully realized, which is why many organizations are now treating it as a replacement, not a complement.
Prophet AI is an Agentic AI SOC Analyst built to autonomously triage and investigate security alerts. It doesn’t require users to build playbooks, set up integrations, or manually define logic. Instead, it reasons through alerts using the same signals a human analyst would, only faster, more consistently, and at scale.
Agentic AI marks a shift from automation that follows instructions to automation that thinks. And in the SOC, that shift is long overdue. Request a demo to see Prophet AI in action.
Agentic AI in the SOC is an autonomous system that can independently triage, investigate, and reason through alerts without relying on prebuilt playbooks. It mimics how a human analyst investigates, but at scale.
Agentic AI is different from SOAR because it doesn't rely on rule-based playbooks, brittle integrations, or manual maintenance. It reasons through alerts autonomously, adapts in real time, and investigates without predefined workflows—delivering the efficiency and scalability SOAR was supposed to provide but often failed to achieve.
Agentic AI reduces alert fatigue and burnout by eliminating repetitive, low-value work and autonomously resolving noisy alerts. This allows analysts to focus on meaningful investigations without the distraction of false positives or manual triage overhead.
Agentic AI does not replace SOC analysts. Instead, it augments them by handling repetitive investigative tasks, allowing analysts to focus on high-priority threats and strategic decisions.
Agentic AI can handle identity, cloud, endpoint, and email alerts by correlating data across systems and reaching accurate, explainable conclusions.
Agentic AI does not require playbooks. It learns from the environment and analyst feedback, adapting its investigations without manual workflow definitions.
The benefits of Agentic AI for security teams include faster investigations, fewer false positives, reduced burnout, 24/7 alert coverage, and improved analyst productivity.
Agentic AI is compatible with existing SIEMs, EDRs, email, identity systems, cloud, threat feeds, and more. It pulls data directly from these sources without requiring complex integrations.