Prophet Security builds autonomous AI SOC analysts that investigate alerts end to end, from hypothesis to verdict, with full reasoning transparency.
Prophet’s AI analysts take on the alert triage workload that overwhelms security operations centers. When an alert fires, the system forms hypotheses, queries relevant data sources, reconstructs the timeline, and delivers a verdict with its full reasoning chain attached. Unlike simple summarization tools, Prophet works the investigation the way a human analyst would, pivoting across endpoints, identity, and cloud evidence. Every conclusion links to the evidence considered, so human reviewers can audit the reasoning rather than trust a score. The platform integrates with existing SIEM and EDR stacks, and its outcomes feed back into tuning rules and detection gaps. Teams typically deploy it first on high-volume alert categories and expand as confidence grows. Metrics dashboards track accuracy, investigation depth, and analyst acceptance rates over time, giving security leaders a measurable basis for expanding the platform’s scope across the alert estate.
Prophet Security is sold through enterprise agreements based on alert volume and data-source coverage. Onboarding includes integration engineering and tuning to the organization’s detection environment.
Security operations centers drowning in alerts whose analysts spend their days on repetitive triage, and security leaders who need measurable outcomes from AI rather than another dashboard. It fits organizations that have already invested in detection and data collection but cannot staff enough humans to investigate everything those investments produce. Detection engineers gain visibility into which alerts consistently waste effort, informing smarter tuning priorities.