Overview Leaderboard Methodology
Industry Report

Device Encryption and Data Loss Prevention

Products that enforce full-disk encryption, removable media controls, and policies to prevent unauthorized data exfiltration from endpoints.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 265
Total responses: 1,357
Top Brand Overall?
Microsoft
98/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
95

Highest score on the LBA metric in this industry.

Authority Leader?
Microsoft
100

Highest score on the Authority metric in this industry.

TOM Leader?
Microsoft
100

Highest score on the TOM metric in this industry.

Microsoft is the default answer in AI responses for Device Encryption and Data Loss Prevention

When users ask ChatGPT, Claude, or Gemini about Device Encryption and Data Loss Prevention, Microsoft is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Symantec is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 34 Device Encryption and Data Loss Prevention brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Microsoft
microsoft.com
 95
100
100
98
2
Symantec
symantec.com
 77
32
84
60
3
Forcepoint
forcepoint.com
 70
27
73
52
4
Sophos
sophos.com
 74
18
67
46
5
Trellix
trellix.com
 58
16
67
41
6
Apple
apple.com
 79
8
35
30
7
Digital Guardian
digitalguardian.com
 72
7
38
29
8
Check Point
checkpoint.com
 69
7
32
27
9
Jamf Pro
jamf.com
 79
8
12
22
10
CoSoSys
cososys.com
 66
7
17
21
11
VeraCrypt
veracrypt.fr
 77
8
8
19
12
Acronis
acronis.com
 70
7
7
17
13
Kaspersky
kaspersky.com
 69
7
7
17
14
McAfee
mcafee.com
 70
7
7
17
15
Trend Micro
trendmicro.com
 66
7
8
17
16
DataLocker
datalocker.com
 64
6
6
16
17
DeviceLock
devicelock.com
 61
6
6
15
18
Safetica
safetica.com
 60
6
6
15
19
WinMagic
winmagic.com
 59
6
6
15
20
Fasoo
fasoo.com
 58
6
6
14
21
ManageEngine ServiceDesk Plus
manageengine.com
 54
5
5
14
22
DriveLock
drivelock.com
 53
5
5
13
23
ESET Secure Authentication
eset.com
 49
5
5
13
24
CA Service Desk Manager
broadcom.com
 47
5
5
12
25
Seqrite
seqrite.com
 46
5
5
12
26
Zecurion
zecurion.com
 46
5
5
12
27
CurrentWare
currentware.com
 39
4
4
10
28
GTB Technologies
gtbtechnologies.com
 32
3
3
9
29
Ivanti Service Manager
ivanti.com
 33
3
3
9
30
Matrix42
matrix42.com
 36
4
4
9
31
S
Somansa
somansa.com
 34
3
3
9
32
Beachhead Solutions
beachheadsolutions.com
 32
3
3
8
33
Stormshield
stormshield.com
 31
3
3
8
34
GFI
gfi.com
 24
2
2
7

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 265 shared Device Encryption and Data Loss Prevention 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
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 265 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 →