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Lakera
Api · 305.9K monthly visits

Lakera is an AI-native security platform designed to protect Generative AI applications from threats like prompt injection, data leakage, and compliance violations. It offers real-time runtime protection, continuous threat intelligence powered by the world's largest AI red team, and easy integration with a single line of code. Trusted by enterprises like Dropbox, Lakera secures AI agents and applications across all major models and languages with ultra-low latency.

VS
Mindgard
Testing · 31.9K monthly visits

Mindgard is an advanced AI security platform specializing in automated red teaming and continuous security testing for AI models. It helps organizations identify and mitigate unique AI vulnerabilities like prompt injection, data poisoning, and model evasion. Designed for enterprises, Mindgard supports a wide range of models, including LLMs and generative AI, ensuring AI systems are secure, compliant, and trustworthy throughout their lifecycle.

Lakera vs Mindgard: pricing, features, traffic, and use cases

Compare Lakera and Mindgard across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 19, 2026

Product overview

Lakera Product overview

Lakera is an AI-native security platform designed to protect Generative AI applications from threats like prompt injection, data leakage, and compliance violations. It offers real-time runtime protection, continuous threat intelligence powered by the world's largest AI red team, and easy integration with a single line of code. Trusted by enterprises like Dropbox, Lakera secures AI agents and applications across all major models and languages with ultra-low latency.

Preview

Mindgard Product overview

Mindgard is an advanced AI security platform specializing in automated red teaming and continuous security testing for AI models. It helps organizations identify and mitigate unique AI vulnerabilities like prompt injection, data poisoning, and model evasion. Designed for enterprises, Mindgard supports a wide range of models, including LLMs and generative AI, ensuring AI systems are secure, compliant, and trustworthy throughout their lifecycle.

Preview

Detailed feature comparison

FeatureLakeraMindgard
Primary categoryApiTesting
Added2025-08-132025-08-14
PricingFreemiumPaid
Official websitewww.lakera.aimindgard.ai
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits305.9K31.9K
Monthly growth11.3%-19.3%
Favorites150110
DetailsView detailsView details

Lakera vs Mindgard monthly traffic

Compare Lakera and Mindgard by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Lakera vs Mindgard monthly traffic comparison, Lakera currently shows 305.9K visits and Mindgard shows 31.9K; Lakera has about 9.6 times the visible traffic of Mindgard, an absolute difference of about 274K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Lakera monthly traffic:

Latest traffic

Monthly visits
305.9K
Avg. visit duration
2:49
Pages per visit
3.48
Bounce rate
41.46%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 426.3K Monthly visits
  • 2026/1: 284.9K Monthly visits
  • 2026/2: 271.7K Monthly visits
  • 2026/3: 307.5K Monthly visits
  • 2026/4: 274.8K Monthly visits
  • 2026/5: 305.9K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States35.26%107.8K
🇫🇷France23.89%73.1K
🇮🇳India20.37%62.3K
🇰🇪Kenya11.01%33.7K
🇳🇴Norway9.47%29K

Traffic sources

Source typePercentageTraffic
Direct79.26%242.4K
Referral19.73%60.3K
Email1.01%3.1K

Search keywords

chatglmgandalfgandalf aigandalf lakeralakera ai

Mindgard monthly traffic:

Latest traffic

Monthly visits
31.9K
Avg. visit duration
0:11
Pages per visit
1.54
Bounce rate
41.19%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 44.8K Monthly visits
  • 2026/1: 73K Monthly visits
  • 2026/2: 45.3K Monthly visits
  • 2026/3: 44.9K Monthly visits
  • 2026/4: 39.5K Monthly visits
  • 2026/5: 31.9K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States35.19%11.2K
🇻🇳Vietnam23.38%7.5K
🇮🇳India16.46%5.2K
🇬🇧United Kingdom14.4%4.6K
🇧🇷Brazil10.57%3.4K

Traffic sources

Source typePercentageTraffic
Direct75.94%24.2K
Referral24.06%7.7K

Search keywords

best ai for pen testingcheck art for artifactingdeepseek bypass prompthow to circumvent llm dietection guaranteemindgard
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Lakera first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Lakera and Mindgard

Lakera Core features

Compliance
Api
Ai Security

Mindgard Core features

Compliance
Testing
Model Security

Use cases

Lakera Use cases

AI security
compliance
LLM security
prompt injection
red teaming
API security
data leakage
developer tools
enterprise AI

Mindgard Use cases

AI security
compliance
LLM security
prompt injection
red teaming
DevSecOps
enterprise security
MLOps
model testing
vulnerability assessment

Lakera vs Mindgard:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Lakera vs Mindgard comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Lakera is primarily listed under “Api”, while Mindgard is primarily listed under “Testing”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Lakera: Api; Mindgard: Testing); Pricing (Lakera: Freemium; Mindgard: Paid); Monthly visits (Lakera: 305.9K; Mindgard: 31.9K); Monthly growth (Lakera: 11.3%; Mindgard: -19.3%); Favorites (Lakera: 150; Mindgard: 110). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Lakera vs Mindgard monthly traffic comparison, Lakera currently shows 305.9K visits and Mindgard shows 31.9K; Lakera has about 9.6 times the visible traffic of Mindgard, an absolute difference of about 274K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Lakera first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Lakera and Mindgard currently overlap in shared categories: Compliance; shared tags: AI security, compliance, LLM security, prompt injection, and red teaming. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Lakera's unique categories/tags are Api, Ai Security, API security, data leakage, developer tools, and enterprise AI; Mindgard's are Testing, Model Security, DevSecOps, enterprise security, MLOps, model testing, and vulnerability assessment. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Lakera has no verified rating, 0 comments, 150 favorites, and 140 likes;Mindgard has no verified rating, 0 comments, 110 favorites, and 107 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Lakera first

Put Lakera on the priority trial list when the task aligns with “Api” and especially Api, Ai Security, API security, data leakage, developer tools, and enterprise AI. This follows recorded positioning and does not imply unlisted capabilities are absent.

Lakera also currently records: pricing is freemium, product type is website, 305.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Mindgard first

Put Mindgard on the priority trial list when the task aligns with “Testing” and especially Testing, Model Security, DevSecOps, enterprise security, MLOps, and model testing. This follows recorded positioning and does not imply unlisted capabilities are absent.

Mindgard also currently records: pricing is paid, product type is website, 31.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Lakera and Mindgard, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Lakera and Mindgard?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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