Comparing a streaming SIEM with built-in AI workflows vs. a Google-scale log lake. Speed and intelligence aren’t the same thing.
To be fair, Chronicle is leveraging AI within its rule engine to help craft better detections. But there’s no operational AI responsible for investigating or responding to alerts. Because Chronicle does not reduce the volume of events and alerts, performing atomic AI analysis on each would likely be cost-prohibitive. The result is a system that enriches but does not act—a stark contrast to Fluency, where AI plays an active, decision-making role in the SOC.
Chronicle’s AI Gaps
Fluency’s AI Design and Execution
Chronicle excels at storing, indexing, and correlating logs at scale. But detection happens after the fact. Fluency processes events in real time—building context and triggering responses the moment events arrive.
Chronicle’s Retrospective Design
Fluency’s Real-Time Philosophy
Feature | Fluency | Google Chronicle |
---|---|---|
Detection Engine | MCP with memory & workflows | Rules and correlation layers |
Latency | Sub-second | Batch-based indexing delay |
AI Workflows | Fully integrated into detection/response | Absent—only enrichment support |
Automation | Native action engine with ticketing | No built-in action execution |
Roadmap Transparency | Full (AI, ISO 42001, feedback loop) | Limited and generic |
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