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Index › IT › Products › FireMon · November 2026 Edition

2 categories · Named, not ranked

FireMon

–Too few to rank

7/14Models named it

0First choices

5Warnings

November 2026 Edition · all company sizes counted.

Ranked inMicrosegmentation #43 mid-market Attack surface management #53

What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. FireMon has 3.

Why models recommend it

“Specializes in network security policy management and asset discovery.”Mistral Small · Comparative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as FireMon, over the 15 answers that named it, and how often each was the first choice instead.

Product	Named together	Picked instead
Illumio Segmentation	10	5	View →
Akamai Guardicore Segmentation	10	2	View →
VMware NSX	8	0	View →
Cisco Secure Workload	7	0	View →
Elisity	6	0	View →
Zero Networks Segment	6	0	View →
ColorTokens Xshield	4	0	View →
TrueFort	4	0	View →
Cortex Xpanse	3	2	View →
Ordr	3	0	View →

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named FireMon came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 14 of the 15 answers that named FireMon and are not a share of its labels.

Domains cited

aimultiple.com10

forrester.com8

g2.com6

scribd.com6

zeronetworks.com6

akamai.com5

securityboulevard.com5

cisco.com4

elisity.com4

github.com4

No domain is on file for FireMon, so its own site is not marked.

Pages cited

aimultiple.com/microsegmentation-tools10

forrester.com/report/the-forrester-wave-tm-microsegmentation-solutions-q3-2024/RES1813027

forrester.com/blogs/announcing-the-forrester-wave-microsegmentation-solutions-q3-20246

forrester.com/report/the-microsegmentation-solutions-landscape-q2-2024/RES1807606

scribd.com/document/864450558/reprint-forrester4

zeronetworks.com/files/buyers-guides/zero-networks-microsegmentation-buyers-guide.pdf4

cybersecuritynews.com/best-microsegmentation-tools3

github.com/Tim-Army/Enterprise-Infrastructure-Encyclopedia/blob/main/volumes/volume-087-mi3

Pages are listed as the models cited them.

By model

How each model answered on FireMon across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.20	0	0	0
Mistral Small	1	0	1
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	1	1
MiniMax M2.5	0	1	1
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	0	0