Fraim
fraim is an open-source framework for security teams to build and deploy AI-powered security operations workflows. It integrates with existing security tooling — SIEMs, asset inventories, ticketing systems — and runs AI agents that triage alerts, enrich findings with business context, and automate remediation steps. It is self-hostable and designed to complement rather than replace existing security infrastructure.
Security operations teams spend significant time on repetitive triage work: resolving asset ownership, checking business context, deciding finding priority, and writing tickets. Traditional SOAR platforms address this but are heavyweight, vendor-locked, and require significant integration investment. fraim takes a lighter approach: security teams define AI-powered workflows in configuration, and agents execute the triage logic against live security data.
Placed in Assess at inner position because AI-augmented security operations is an emerging practice with no equivalent open-source, self-hostable implementation on this radar. The inner position reflects that security teams should be actively evaluating this category now, before it is dominated by proprietary vendors. fraim is an early but concrete implementation that demonstrates the pattern; teams should evaluate it with the understanding that the framework is maturing.
The key differentiator from SOAR is the AI-agent execution model: rather than rigid playbooks, fraim workflows can reason about context and handle cases that deterministic rules cannot.
