Overview Leaderboard Methodology
Industry Report

Security Analytics Platforms

Platforms that apply advanced analytics, machine learning, and threat intelligence to large security datasets to prioritize alerts and support investigations.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Microsoft
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
CrowdStrike
98

Highest score on the LBA metric.

Authority Leader?
Microsoft
98

Highest score on the Authority metric.

TOM Leader?
Microsoft
100

Highest score on the TOM metric.

Microsoft is the default answer in AI responses for Security Analytics Platforms

Microsoft and Splunk together dominate AI responses for Security Analytics Platforms. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 33 Security Analytics Platforms brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Microsoft
microsoft.com
 88
98
100
95
2
Splunk
splunk.com
 83
82
100
88
3
Elastic
elastic.co
 85
48
65
64
4
IBM
ibm.com
 85
32
76
59
5
Google
google.com
 81
30
80
58
6
CrowdStrike
crowdstrike.com
 98
20
48
46
7
Chronicle
chronicle.security
 68
13
61
38
8
Exabeam
exabeam.com
 70
11
39
31
9
Palo Alto Networks
paloaltonetworks.com
 87
4
42
25
10
Rapid7
rapid7.com
 72
5
38
24
11
Sumo Logic
sumologic.com
 72
7
15
20
12
Securonix
securonix.com
 73
2
16
14
13
Darktrace
darktrace.com
 75
1
1
5
14
LogRhythm
logrhythm.com
 70
0
19
5
15
Graylog
graylog.org
 66
1
1
4
16
ArcSight
arcsight.com
 64
0
5
1
17
Fortinet
fortinet.com
 88
0
1
1
18
RSA NetWitness
netwitness.com
 71
0
1
1
19
AlienVault
att.com
 74
0
0
0
20
Anomali
anomali.com
 63
0
0
0
21
Blumira
blumira.com
 44
0
0
0
22
Coralogix
coralogix.com
 64
0
0
0
23
Devo
devo.com
 69
0
0
0
24
DNIF
dnif.it
 35
0
0
0
25
Hunters
hunters.security
 41
0
0
0
26
LogPoint
logpoint.com
 54
0
0
0
27
ManageEngine ServiceDesk Plus
manageengine.com
 63
0
0
0
28
Netsurion
netsurion.com
 40
0
0
0
29
Panther
panther.com
 49
0
0
0
30
SEKOIA.IO
sekoia.io
 38
0
0
0
31
SOC Prime
socprime.com
 66
0
0
0
32
Stellar Cyber
stellarcyber.ai
 66
0
0
0
33
Vectra AI
vectra.ai
 79
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Security Analytics Platforms prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 263 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →