IT AI Index

Index › Products › LangProtect · October 2026 Edition

1 category · Named, not ranked

LangProtect

3Judge labels

0First choices

0Negative labels

3 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. LangProtect was named 1 time in AI security, where SentinelOne Singularity led with 11%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market109 of 233

under the label threshold

Enterprise57 of 155

under the label threshold

In ai security · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named LangProtect for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
AI security platforms	Security operations	0%	109 of 233	0%	1	under 10 labels · led by SentinelOne Singularity at 11%

Movement

This is the first edition on this tier, so no move can be computed for LangProtect yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

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

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Model	Alternative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	1	1
MiniMax M2.5	0	0
GPT-6 Luna	0	0
Muse Glimmer 30B	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase3 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative3 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Alternative: LangProtect (All-in-One Employee AI Governance)” GLM 4.7 FlashX · AI security · paraphrase prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as LangProtect, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LangProtect was named but was not.

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ProductSame answerTook the first choice insteadHead to head

WitnessAI2 of 31Not among the top eight

Cloudeagle1 of 31Not among the top eight

Prompt Security — now part of SentinelOne Singularity1 of 31Not among the top eight

Wiz1 of 31Not among the top eight

Check Point AI Security1 of 30Not among the top eight

Kong AI Gateway1 of 30Not among the top eight

LiteLLM1 of 30Not among the top eight

Noma Security1 of 30Not among the top eight

Prompt Security1 of 30Not among the top eight

WitnessAI Unified AI Security and Governance Platform1 of 30Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named LangProtect. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 3 of the 3 answers that named LangProtect and are not a share of its labels.

Domains cited

edgelabs.ai3

langprotect.comYour site3

reco.ai3

tooljunction.io3

witness.ai3

buildmvpfast.com2

f6s.com2

sentinelone.com2

aisecurityandsafety.org1

checkpoint.com1

Twenty of the twenty-three domain citations in answers naming LangProtect came from somebody else's page.

Pages cited

reco.ai/compare/ai-security-tools-for-enterprises3

tooljunction.io/blog/best-llm-security-tools-enterprise3

buildmvpfast.com/blog/compliance-security-tools-ai-enterprises2

edgelabs.ai/blog/ai-runtime-security2

edgelabs.ai/blog/llm-gateway-security2

langprotect.com/enterprise-ai-governance2

witness.ai/2

aisecurityandsafety.org/en/guides/llm-guardrails1

Pages are listed as the models cited them.

What it publishes

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Addresses on langprotect.com

363

subdomains included

Content

counted in the table below

Documentation

Product · Integration

6 · 0

Kind	Pages	Last 90 days	Latest	Categories named
Blog	58	14	2026-09-30	DLP
Comparison	10	2	2026-09-01
Glossary or explainer	4	2	2026-09-18
Report or ebook	2	undated

Most recent

2026-09-30Memory poisoning ai agents threat model blog
2026-09-29Langprotect gisec global 2026 blog
2026-09-24Runtime protection for llm applications blog
2026-09-18What is llm ai red teaming enterprise guide glossary or explainer
2026-09-16Mcp servers no authentication security risk blog
2026-09-11How guardia policy engine decides enforcement blog

How it is countedHide how it is counted

Every page langprotect.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read October 5, 2026.

Follow LangProtect

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

LangProtect is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: Enterprise AI Security Platform
langprotect.com
For: enterprises
langprotect.com
Price stated: Simple, transparent pricing for AI-driven organizations. Choose between Startups & Teams or Enterprise plans for Guardia, Armor, and Vector. langprotect.com/pricing
Certifications: Certified for quality managementCertified for information securitySOC 2 Type 2ISO 27001GDPR
Not stated on the pages read: Starting price, free plan or trial, integrations, hosting, customers

What LangProtect's own pages state, read October 6, 2026: langprotect.com, langprotect.com/pricing, trust.langprotect.com, langprotect.com/solutions/legal. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when LangProtect's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as LangProtect, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for LangProtect by email, built from the raw record of the edition. It shows:

where LangProtect is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name LangProtect, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.