Fluency vs Other SIEM Platforms

Compare Fluency against other SIEM platforms in the market. See how our AI-powered approach differs from traditional alert-heavy security models.

AI Implementation

Grading Results

We evaluated leading SIEMs and security platforms against our AI grading criteria. Here's how they stack up.

It's important to note that this is a rapidly evolving space. As vendors race to add AI capabilities, announcements often outpace real-world implementations. Our grading focuses not just on what's promised—but on what's operational, public, and structurally aligned to long-term AI maturity.

SIEM	ISO 42001	MCP	GenAI Workflow	AI Remediation	Roadmap	Final Grade
Fluency Security	B	B	B	B	A	B
Microsoft Sentinel	B	C	D	C	C	C
Securonix EON	F	C	C	C	C	D+
CrowdStrike Falcon SIEM	F	C	D	C	C	D+
Splunk Enterprise Sec.	F	D	F	C	D	D
IBM QRadar	F	F	F	C	D	D-
Exabeam	D	C	C	D	C	C-
Devo	D	D	C	D	D	D+
Hunters	F	D	D	D	D	D
LogScale (Humio)	F	F	F	D	D	F
Google Chronicle	D	F	D	D	D	D
Wiz	D	D	D	F	C	D+

Philosophy

SIEM vs Data Lake

Every security tool makes a choice: focus on storing data or acting on it. This comparison shows where key platforms stand.

Fluency

SIEM 90%

Streaming-first SIEM with inline processing and real-time detection.

Elastic

SIEM 20%

Data Lake 80%

Search-focused architecture, strong for log lake use cases.

Splunk

SIEM 60%

Data Lake 40%

Traditional SIEM with indexing flexibility, but increasingly used as a log lake.

CrowdStrike Falcon SIEM

SIEM 45%

Data Lake 55%

Newer SIEM extension to Falcon platform with strong endpoint data, but still maturing on broader ingestion and analytics.

Sentinel

SIEM 55%

Data Lake 45%

Cloud-native Microsoft SIEM with Azure integration and KQL analytics.

Panther

SIEM 30%

Data Lake 70%

Serverless architecture with lake-first design, strong in AWS environments.

QRadar

SIEM 70%

Data Lake 30%

Traditional enterprise SIEM, falling behind in cloud support.

Securonix

SIEM 75%

Data Lake 25%

Cloud-delivered UEBA SIEM with strong ML focus.

Rapid7 InsightIDR

SIEM 65%

Data Lake 35%

Focus on detection and response, supports endpoint integration.

Exabeam

SIEM 70%

Data Lake 30%

Behavior-based SIEM with strong UEBA and modernized cloud push.

Devo

SIEM 40%

Data Lake 60%

Cloud-native log platform with SIEM features and fast backend.

Hunters

SIEM 25%

Data Lake 75%

SIEM alternative using data lake and correlation workflows.

LogScale (Humio)

SIEM 25%

Data Lake 75%

Streaming log analysis with minimal delay, used in modern XDR workflows.

Google Chronicle

Data Lake 90%

Google-scale log lake with detection rules layered on top.

Wiz

Data Lake 90%

Cloud-native platform offering posture and threat detection, not a full SIEM.

🟦 SIEM Focus (Detection, Response)

⬜ Data Lake Focus (Storage, Search)