Data security posture management · October 2026 Edition
Varonis Data Security Platform vs IBM Guardium
Two of fourteen models named Varonis Data Security Platform first on the direct prompt; zero named IBM Guardium. Varonis Data Security Platform was named by fourteen of the fourteen models and IBM Guardium by eight and Varonis Data Security Platform carries 40 labels and IBM Guardium 11, so the shares are not directly comparable.
Named in three categories this edition.
IBM Guardium
criticized challengerNamed in three categories this edition.
First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate28%36%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 12; printed, not drawn.
Labels4011A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Varonis Data Security Platform reading right to left. Rank and label count are printed, not drawn.Cyera was named alongside these two in twelve of the fourteen direct answers. Microsoft Purview vs Varonis Data Security Platform · Microsoft Purview vs IBM Guardium · Sentra vs Varonis Data Security Platform
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data security posture management page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Varonis Data Security PlatformFirst choices, of fourteen modelsIBM GuardiumDirect201 against IBM Guardium
Paraphrase022 against Varonis Data Security Platform · 2 against IBM Guardium
Comparative101 against Varonis Data Security Platform
Budget-constrained004 against Varonis Data Security Platform
Scale-constrained00
Negative004 against Varonis Data Security Platform · 1 against IBM Guardium
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Varonis Data Security Platform and IBM Guardium stood in it.
| Model | DirectIG | ParaphraseIG | ComparativeIG | Budget-constrainedIG | Scale-constrainedIG | NegativeIG |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | IG | |||||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | IG | | | |||
| Perplexity Sonar | IG | IG | IG | |||
| Grok 4.1 Fast | | IG | | | ||
| Mistral Small | ||||||
| DeepSeek V4 Flash | | | ||||
| Llama 4 Maverick | IG | |||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | IG | | | | |
| MiniMax M2.5 | | |||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | |
Varonis Data Security PlatformIG IBM Guardium first choice named as an alternative argued againstblank: not namedEach cell is one answer, Varonis Data Security Platform on the left and IBM Guardium on the right.The direct prompt
The plain question, one answer per model, grouped by where Varonis Data Security Platform and IBM Guardium stood in it.
Varonis Data Security Platform first, IBM Guardium not the choice
2 of 14 modelsIBM Guardium was named in the answer but not as the choice, or not at all.GPT-5.4 miniVaronis Data Security Platform alternatives: Microsoft Purview, Teleskope
GLM 4.7 FlashXSecuriti, Varonis Data Security Platform alternatives: Cyera, Microsoft Purview
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Grok 4.1 FastSentra alternatives: Concentric AI, Cyera, Varonis Data Security Platform
Kimi K2Wiz alternatives: BigID, Varonis Data Security Platform
Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Cyera alternatives: Netwrix, Normalyze, Sentra
Gemini 3.5 FlashWiz alternatives: CrowdStrike, Cyera, Proofpoint DSPM, Sentra
Perplexity SonarSentra alternatives: Concentric, Cyera, Prisma Cloud DSPM, Wiz
Mistral SmallSentra alternatives: Concentric, Cyera
DeepSeek V4 FlashSentra alternatives: Concentric AI, Cyera
Llama 4 MaverickConcentric, Cyera, Sentra
Qwen 3.7 FlashWiz alternatives: Cyera, Microsoft Defender for Cloud, Orca Security
MiniMax M2.5Cyera, Sentra alternatives: Concentric, Forcepoint DSPM, Microsoft Purview
GPT-6 LunaWiz DSPM alternatives: Cyera, Microsoft Purview, Sentra
Muse Glimmer 30BSentra alternatives: Concentric AI, Cyera
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
Varonis Data Security Platform0%#11 of 12IBM Guardium0%#– of 12
The full small business standing →Mid-marketThe figures above
Level: the same share of first choices.
Varonis Data Security Platform4%#5 of 12IBM Guardium4%#6 of 12
The full mid-market standing →Enterprise
Varonis Data Security Platform leads by twenty points.
Varonis Data Security Platform22%#1 of 11IBM Guardium2%#7 of 11
The full enterprise standing →What the models said about Varonis Data Security Platform
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Enterprise-focused, pricing on request” Kimi K2 · budget prompt · hard negative
“Varonis is a market leader with high customer satisfaction, but it is widely cited as having a steep learning curve and complex management.” GLM 4.7 FlashX · negative prompt · soft negative
“Varonis is frequently cited as a friction point: "Hit friction and high operational costs with agent-based, connector-heavy deployment"” Muse Glimmer 30B · comparative prompt · soft negative
“Choose Varonis if you want the most established "data security platform" path and have a broader security program.” GPT-5.4 mini · direct prompt · first choice
“Need pure DSPM with modern cloud focus: Cyera, Varonis.” GPT-5.4 mini · comparative prompt · first choice
“I'd recommend starting with Securiti or Varonis” GLM 4.7 FlashX · direct prompt · first choice
What the models said about IBM Guardium
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“miss the discovery, posture management, access governance, and behavioral detection that define true DSPM platforms” Claude Haiku 4.5 · negative prompt · hard negative
“cannot afford massive, complex enterprise tools (like BigID, IBM Guardium, or Symantec DLP)” Gemini 3.5 Flash · paraphrase prompt · hard negative
“far more accessible than enterprise-heavy tools like IBM Guardium (custom pricing, G2 4.3/5 but enterprise-focused)” Grok 4.1 Fast · paraphrase prompt · soft negative
“IBM Guardium Data Protection and Safetica are recommended sensitive data discovery and protection tools for a mid-sized B2B company.” Llama 4 Maverick · paraphrase prompt · first choice
“Primary choice: IBM Guardium Data Protection – the most complete, highest‑rated solution” GLM 4.7 FlashX · paraphrase prompt · first choice
“Choose IBM Guardium DSPM if you want a cloud-native, agentless approach across hybrid cloud and SaaS.” Perplexity Sonar · comparative prompt · alternative
Also compared
Microsoft Purview vs Varonis Data Security PlatformMicrosoft Purview vs IBM GuardiumSentra vs Varonis Data Security PlatformSentra vs IBM GuardiumWiz vs Varonis Data Security PlatformWiz vs IBM GuardiumCyera vs Varonis Data Security PlatformCyera vs IBM GuardiumVaronis Data Security Platform vs BigIDVaronis Data Security Platform vs SecuritiIBM Guardium vs BigIDIBM Guardium vs SecuritiAll twenty-eight head-to-head pages and the full DSPM standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.