Understanding Workflows
Fluency's AI-powered workflows automatically detect, investigate, and respond to security threats. Each workflow is designed to handle specific attack patterns and provide contextual analysis that traditional SIEMs cannot match.
Detect logins from geographically distant locations indicating credential compromise.
Monitor suspicious email forwarding and filtering rules used in BEC attacks.
Detect suspicious new user account creation and privilege escalation attempts.
Monitor and analyze PowerShell execution patterns for malicious activity and privilege escalation.
Analyze file execution patterns and reputation to detect malware and suspicious files.
Detect and analyze lateral movement patterns across your network infrastructure.
The Core Workflow of AI-Driven Security Operations
Effective AI integration in a Security Operations Center (SOC) isn’t about dropping a language model into the loop—it’s about embedding AI into the same disciplined process humans follow. A successful AI-SIEM system mirrors the analyst’s structured approach, progressing through four critical stages: Investigation, Scoping, Response, and Oversight.
Each stage builds on the previous, ensuring that alerts are not only triaged but fully understood, acted upon, and reviewed. This isn’t automation for automation’s sake—it’s a continuous decision-making process, driven by AI but shaped by repeatable logic and human-grade expectations for quality.
The SOC process is to categorize the event, determine if it is valid and actionable.
Before initiating a response, the SOC must identify the relevant entities and objects of interest involved.
Response is a series of processes designed to contain the issue and address its root cause.
The system learns from each incident by evaluating the actions of the oversight analyst and its own actions.
Staff are no longer stuck in repetitive triage. They focus on oversight, tuning, and edge-case escalation — the roles they were meant to play.
Instead of generic playbooks, every workflow is tailored to a specific issue category, such as lateral movement or credential compromise.
The AI operates in the process — not as a tool, but as the triage and scoping layer itself. Humans work on the process, making it better over time.
Workflows operate in seconds, with richer data, deeper historical context, and decisions that scale across your entire environment.