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.
promptfoo is a comprehensive testing and evaluation framework for Large Language Models (LLMs). It helps developers and enterprises compare prompt quality, evaluate model performance, and enhance AI security through systematic testing, benchmarking, and AI-powered red teaming. It supports over 50 LLM providers, including local models, and offers a developer-friendly CLI for seamless integration into development workflows.
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.
promptfoo Product overview
promptfoo is a comprehensive testing and evaluation framework for Large Language Models (LLMs). It helps developers and enterprises compare prompt quality, evaluate model performance, and enhance AI security through systematic testing, benchmarking, and AI-powered red teaming. It supports over 50 LLM providers, including local models, and offers a developer-friendly CLI for seamless integration into development workflows.
Detailed feature comparison
| Feature | Lakera | promptfoo |
|---|---|---|
| Primary category | Api | Low Code No Code |
| Added | 2025-08-13 | 2025-08-03 |
| Pricing | Freemium | Freemium |
| Official website | www.lakera.ai | www.promptfoo.dev |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 305.9K | 160.6K |
| Monthly growth | 11.3% | -14.7% |
| Favorites | 150 | 111 |
| Details | View details | View details |
Lakera vs promptfoo monthly traffic
Compare Lakera and promptfoo by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Lakera vs promptfoo monthly traffic comparison, Lakera currently shows 305.9K visits and promptfoo shows 160.6K; Lakera has about 1.9 times the visible traffic of promptfoo, an absolute difference of about 145.2K 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 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/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 35.26% | 107.8K |
| 🇫🇷France | 23.89% | 73.1K |
| 🇮🇳India | 20.37% | 62.3K |
| 🇰🇪Kenya | 11.01% | 33.7K |
| 🇳🇴Norway | 9.47% | 29K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 79.26% | 242.4K |
| Referral | 19.73% | 60.3K |
| 1.01% | 3.1K |
Search keywords
promptfoo monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 86.7K Monthly visits
- 2026/1: 152K Monthly visits
- 2026/2: 141.3K Monthly visits
- 2026/3: 314.1K Monthly visits
- 2026/4: 188.4K Monthly visits
- 2026/5: 160.6K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.82% | 72K |
| 🇮🇳India | 19.97% | 32.1K |
| 🇻🇳Vietnam | 16.77% | 26.9K |
| 🇩🇪Germany | 10.56% | 17K |
| 🇮🇩Indonesia | 7.88% | 12.7K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 71.16% | 114.3K |
| Referral | 28.69% | 46.1K |
| 0.15% | 241 |
Search keywords
Usage comparison
Compare the core capabilities of Lakera and promptfoo
Lakera Core features
promptfoo Core features
Use cases
Lakera Use cases
promptfoo Use cases
Lakera vs promptfoo:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Lakera vs promptfoo comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Lakera is primarily listed under “Api”, while promptfoo is primarily listed under “Low Code No Code”, 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; promptfoo: Low Code No Code); Monthly visits (Lakera: 305.9K; promptfoo: 160.6K); Monthly growth (Lakera: 11.3%; promptfoo: -14.7%); Favorites (Lakera: 150; promptfoo: 111); Website (Lakera: www.lakera.ai; promptfoo: www.promptfoo.dev). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Lakera vs promptfoo monthly traffic comparison, Lakera currently shows 305.9K visits and promptfoo shows 160.6K; Lakera has about 1.9 times the visible traffic of promptfoo, an absolute difference of about 145.2K 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 promptfoo currently overlap in shared categories: Ai Security; shared tags: AI security, developer tools, 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, Compliance, API security, compliance, data leakage, enterprise AI, LLM security, and prompt injection; promptfoo's are Low Code No Code, Testing, Prompt Engineering, cli, LLM evaluation, model comparison, open source, and prompt engineering. 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;promptfoo has no verified rating, 0 comments, 111 favorites, and 95 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, Compliance, API security, compliance, data leakage, 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 promptfoo first
Put promptfoo on the priority trial list when the task aligns with “Low Code No Code” and especially Low Code No Code, Testing, Prompt Engineering, cli, LLM evaluation, and model comparison. This follows recorded positioning and does not imply unlisted capabilities are absent.
promptfoo also currently records: pricing is freemium, product type is website, 160.6K 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 promptfoo, 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 promptfoo?
Where does this comparison data come from?
What do unknown fields mean?
Related AI tools

Dynamo AI
Dynamo AI is an enterprise platform for deploying secure, compliant, and reliable Generative AI. It offers AI guardrails, hallucination detection, red-teaming, and observability to manage AI risks and accelerate production at scale.
Model Management
Robust Intelligence
Robust Intelligence, now a Cisco company, is an end-to-end AI risk management platform. It secures AI models throughout their lifecycle with a real-time AI Firewall and automated testing, helping enterprises mitigate security, ethical, and operational risks to deploy AI safely and responsibly.
Mlops
BeyondGuard
BeyondGuard is an enterprise AI security platform providing real-time threat blocking, low-code policy control, and unified risk visibility for LLMs, RAG, and AI agents. It protects against prompt injection, data leakage, jailbreaks, and unauthorized tool use, ensuring compliant and safe AI deployment across any stack.
Data Governance
Mindgard
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.
Testing
Maihem
Maihem is an advanced platform for AI security and robotics, specializing in automated red teaming and vulnerability testing for Large Language Model (LLM) applications. It systematically tests for the OWASP Top 10 LLM vulnerabilities, such as prompt injection and data poisoning, to ensure the safe, reliable, and compliant deployment of AI systems.
Testing
ArtisMind
ArtisMind is an enterprise-grade AI prompt engineering platform designed to build, score, and perfect AI prompts using data-driven, multi-model intelligence. It offers a scientific 5-stage workflow to create production-ready, secure, and optimized prompts for various AI models, addressing challenges like prompt injection, hallucinations, and inconsistent quality.
Tools
Pangea
Pangea is a developer-first platform offering a suite of API-based security services. It provides essential security guardrails for web and AI applications, enabling developers to easily embed features like secure audit logging, data redaction, threat intelligence, and authentication. Pangea is designed to accelerate development while ensuring applications are secure and compliant from the start.
Security
Aporia
Aporia is an enterprise-grade platform providing AI Guardrails and Observability for any AI workload. It ensures AI applications are secure, reliable, and compliant by preventing issues like prompt injections, data leakage, and hallucinations, while also offering detailed cost management for LLMs.
Monitoring
Langtail
Langtail is a low-code platform for testing and debugging AI applications powered by Large Language Models (LLMs). It helps teams ensure predictability and safety with a spreadsheet-like testing interface, an AI Firewall to block malicious inputs, and collaborative tools for prompt management. Catch bugs and optimize your LLM outputs before they reach users.
Low Code No Code
Adversa AI
Adversa AI is a leading AI security platform specializing in making AI, ML, and LLM systems secure, trusted, and responsible. It offers continuous AI Red Teaming, vulnerability assessment, and hardening solutions to protect against cyber threats, privacy issues, and safety incidents. Recognized by Gartner and numerous industry awards, Adversa AI helps organizations across various sectors secure their AI transformation.
Testing
ZeroTrusted.ai
ZeroTrusted.ai is an advanced AI security platform offering an AI Firewall, Gateway, and Health Check to protect enterprise AI ecosystems. It enforces Zero Trust principles to safeguard against data leaks, ensure compliance, and secure Large Language Models (LLMs), AI agents, and RAG systems from threats.
Compliance
Learn Prompting
Learn Prompting is a leading educational platform offering comprehensive, research-backed courses on prompt engineering and AI communication. Trusted by over 3 million users and major corporations, it provides free and paid training for all skill levels, from beginners to advanced experts, including specialized topics like AI security and red-teaming.
Api
ModelFusion
ModelFusion is an all-in-one LLM toolkit for developers and researchers. It offers a suite of free tools, including a cost calculator, prompt library, and model comparator for over 30 AI models like GPT-4, Claude, and Gemini. It also provides a unified API and local model running guides to streamline AI development and optimize costs.
Api
Prompto
Prompto is a free, open-source, browser-based interface for interacting with a wide range of Large Language Models (LLMs). It leverages LangChain.js to connect directly to providers like OpenAI, Anthropic, and local models via Ollama, offering advanced features like a model comparison Arena, prompt templates, and multi-AI discussions, all while prioritizing user privacy by storing data locally.
Model Comparison
codegate
Codegate is an open-source security gateway and multiplexing framework for AI agentic systems. Developed by Stacklok, it provides secure workspaces and policy-based access control, enabling developers to build and manage complex multi-agent applications safely and efficiently.
Agentic Frameworks



