Software Alternatives, Accelerators & Startups
Register | Login

ImmuniWeb VS llama.cpp

Compare ImmuniWeb VS llama.cpp and see what are their differences

Lensmor
Lensmor is an AI-native Event Intelligence and GTM Signal platform that empowers B2B enterprises to transform global exhibition attendees into high-intent sales opportunities through real-time data analysis. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

ImmuniWeb logo ImmuniWeb

AI-Enabled Attack Surface Management, Dark Web Monitoring, and Application Penetration Testing solutions tailored to reduce complexity and costs of Application Security Testing, Protection and Compliance.

llama.cpp logo llama.cpp

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
  • ImmuniWeb Landing page
    Landing page //
    2023-06-03

ImmuniWeb SA is a global application security company headquartered in Geneva, Switzerland. The company is profitable, cashflow positive and rapidly growing since its incorporation in 2019. The award-winning ImmuniWebยฎ AI Platform helps over 1,000 customers from more than 50 countries to discover, test and protect their web and mobile applications, APIs and micro services, cloud and network infrastructure, and third-party systems processing corporate data.

Providing one of the most comprehensive offering in the industry, the Platform covers 20 use cases related to cybersecurity, compliance and privacy, including Attack Surface Management, Dark Web Monitoring, Web and Mobile Penetration Testing, Cyber Threat Intelligence, Third-Party Risk Management, and more. ImmuniWebโ€™s proprietary technology is a recipient of numerous awards and industry recognitions for practical usage of AI, including Gartner Cool Vendor, IDC Innovator and SC Awards Europe. Our Machine Learning technology stack considerably reduces application security costs of our customers by intelligent automation of laborious and time-consuming tasks, significantly accelerating those tasks in parallel.

Our free Community Edition helps SMEs, universities and municipal governments to test their cybersecurity, privacy and compliance at no cost, currently running over 100,000 daily tests. ImmuniWeb also contributes to sustainable development of the cybersecurity industry via its strategic partnerships with such organizations as the UN ITU, CyberPeace Institute, national CERTs and law enforcement agencies.

Not present

ImmuniWeb

Website
immuniweb.com
$ Details
paid Free Trial
Platforms
Web Windows iOS Android Mobile Linux
Release Date
2019 January
Startup details
Country
Switzerland
City
Geneva
Employees
10 - 19
Edit details

llama.cpp

Website
github.com
$ Details
-
Platforms
-
Release Date
-
Edit details

ImmuniWeb features and specs

  • Attack Surface Management
  • Dark Web Monitoring
  • Cyber Threat Intelligence
  • Web, Mobile, Cloud, API Penetration Testing
  • Digital Brand Protection
  • Third-Party Risk Management
  • Phishing Websites Takedown
  • Software Composition Analysis
  • Network Security Assessment
  • Web Security Scanning
  • Red Teaming Exercise
  • Cloud Security Posture Management

llama.cpp features and specs

  • Performance
    llama.cpp is designed to run efficiently on a wide range of hardware, from high-end GPUs to more modest CPUs, making it highly adaptable and performant in various environments.
  • Portability
    The codebase is lightweight and can be compiled across different operating systems including Linux, macOS, and Windows, ensuring wide accessibility and ease of deployment.
  • Ease of Use
    The repository provides comprehensive documentation and examples, making it easier for developers to integrate and utilize the library in their projects.
  • Community Support
    Being an open-source project, llama.cpp benefits from community contributions, which help in its continuous improvement and maintenance.
  • Flexibility
    It allows developers to customize and extend the functionality to better fit specific use cases or integrate with other tools and systems.

Possible disadvantages of llama.cpp

  • Limited Features
    Compared to some other machine learning libraries or frameworks, llama.cpp may have fewer out-of-the-box features, requiring more custom development for certain applications.
  • Complexity for Beginners
    Despite good documentation, users without a solid background in machine learning or programming may find it difficult to fully utilize the libraryโ€™s capabilities.
  • Scalability
    While llama.cpp is designed to be performant, scaling it for very large datasets or extensive tasks might require significant optimization or additional resources.
  • Dependency Management
    As with many open-source projects, managing dependencies and ensuring compatibility with evolving third-party libraries can be challenging.

Analysis of ImmuniWeb

Overall verdict

  • ImmuniWeb is considered a good choice for organizations looking for robust cybersecurity solutions. The combination of AI-driven tools and human expertise provides a reliable and efficient way to enhance security posture.

Why this product is good

  • ImmuniWeb is widely regarded as a reputable cybersecurity service due to its comprehensive approach to application security testing and continuous monitoring. It offers AI-driven penetration testing and vulnerability scanning that help businesses identify and remediate security issues efficiently. The platform is known for its user-friendly interface, detailed reporting, and compliance with various standards, which adds to its credibility and effectiveness.

Recommended for

    ImmuniWeb is recommended for businesses of all sizes looking to improve their application security, those needing to comply with regulatory standards, and organizations seeking to identify vulnerabilities before they can be exploited by malicious actors.

Analysis of llama.cpp

Overall verdict

  • llama.cpp is an excellent, high-performance open-source project that has become the de facto standard for running large language models locally on consumer hardware with minimal dependencies.

Why this product is good

  • Written in efficient C/C++ with no heavy dependencies, enabling fast inference even on CPUs
  • Supports GGUF quantization allowing large models to run on limited RAM and modest hardware
  • Cross-platform support including Windows, macOS, Linux, and even mobile and embedded devices
  • Hardware acceleration via CUDA, Metal, Vulkan, ROCm, and more
  • Extremely active community and rapid development with frequent updates and broad model support
  • Free and open-source under the MIT license, with a large ecosystem of tools and bindings built around it

Recommended for

  • Developers wanting to run LLMs locally without cloud dependencies
  • Privacy-conscious users who need offline inference
  • Hobbyists and researchers experimenting with quantized models on consumer hardware
  • Applications requiring lightweight, embeddable LLM inference
  • Users with limited GPU resources who need efficient CPU-based inference

ImmuniWeb videos

No ImmuniWeb videos yet. You could help us improve this page by suggesting one.

Add video

llama.cpp videos

+ Add

Local AI just leveled up... Llama.cpp vs Ollama

More videos:

  • Review - AMD Mi50 32GB Speed Test: Ollama vs Llama.cpp (GPT-OSS & Qwen3 Benchmarks)
  • Review - Ollama vs VLLM vs Llama.cpp: Best Local AI Runner in 2026?

Category Popularity

0-100% (relative to ImmuniWeb and llama.cpp)

ImmuniWeb

llama.cpp

Security
100 100%
Security
0% 0
AI
0 0%
AI
100% 100
Security & Privacy
100 100%
Security & Privacy
0% 0
LLM
0 0%
LLM
100% 100

Questions & Answers

As answered by people managing ImmuniWeb and llama.cpp.

What's the story behind your product?

ImmuniWeb's answer

ImmuniWeb SA is a global application security company headquartered in Geneva, Switzerland. The company is profitable, cashflow positive and rapidly growing since its incorporation in 2019. The award-winning ImmuniWebยฎ AI Platform helps over 1,000 customers from more than 50 countries to discover, test and protect their web and mobile applications, APIs and micro services, cloud and network infrastructure, and third-party systems processing corporate data.

How would you describe the primary audience of your product?

ImmuniWeb's answer

Companies and organizations of all sizes.

Which are the primary technologies used for building your product?

ImmuniWeb's answer

AI, Machine Learning

Who are some of the biggest customers of your product?

ImmuniWeb's answer

  • Ebay
  • ITU
  • BDO
  • Next Bank Credit Agricole,
  • Arab Bank
  • Swissquote
  • Celgene
  • Haymarket
  • BancaStato

What makes your product unique?

ImmuniWeb's answer

ImmuniWeb leverages the award-winning AI technology for intelligent automation and acceleration of laborious tasks and processes, saving as much as 90% of human time compared to traditional MSSPs. Our security experts handle only to the most complicated tasks and processes that truly deserve human intelligence thereby offering the best quality and best price of service on the global market.

Why should a person choose your product over its competitors?

ImmuniWeb's answer

Providing one of the most comprehensive offering in the industry, the Platform covers 20 use cases related to cybersecurity, compliance and privacy, including Attack Surface Management, Dark Web Monitoring, Web and Mobile Penetration Testing, Cyber Threat Intelligence, Third-Party Risk Management, and more. ImmuniWebโ€™s proprietary technology is a recipient of numerous awards and industry recognitions for practical usage of AI, including Gartner Cool Vendor, IDC Innovator and SC Awards Europe. Our Machine Learning technology stack considerably reduces application security costs of our customers by intelligent automation of laborious and time-consuming tasks, significantly accelerating those tasks in parallel.

User comments

Share your experience with using ImmuniWeb and llama.cpp. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare ImmuniWeb and llama.cpp

ImmuniWeb Reviews

10 Best Burp Suite Alternatives For Windows In 2023
Verdict: ImmuniWeb is confident in its ability to accurately detect and report confirmed vulnerabilities that are not false positives. No other tool offers a money-back guarantee on reduced false positives, but ImmuniWeb does. If you seek an AI-powered external web scanner, then ImmuniWeb may be your best bet.
Source: www.softwaretestinghelp.com

llama.cpp Reviews

We have no reviews of llama.cpp yet.
Be the first one to post

Social recommendations and mentions

Based on our record, llama.cpp seems to be more popular. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ImmuniWeb mentions (0)

We have not tracked any mentions of ImmuniWeb yet. Tracking of ImmuniWeb recommendations started around Mar 2021.

llama.cpp mentions (13)

  • Ask HN: How close are we to local LLM models being useful? What's the impact?
    A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 28 days ago
  • llama-bench skipped FA on capable GPUs โ€” b9437 corrects it
    Yes, for a local source build: pull the latest commit from ggml-org/llama.cpp and recompile. Tagged binary releases lag the continuous builds. Check the GitHub releases page for a pre-built artifact if you want to skip compilation, but verify the build number includes the b9437 changes before treating it as current. - Source: dev.to / about 1 month ago
  • Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher
    That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead. - Source: dev.to / about 2 months ago
  • How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio
    LlamaStash spawns the unmodified upstream llama-server. So three different questions follow from that, and there is a benchmark suite for each. - Source: dev.to / about 2 months ago
  • Why MTP doesn't speed up your llama.cpp inference (and how to actually fix it)
    Last week, I spent two days banging my head against a wall. I had just spun up a fresh llama.cpp build with multi-token prediction (MTP) support, loaded a quantized Qwen3 model, and ran my benchmark suite expecting that sweet 2-3x speedup everyone keeps talking about. - Source: dev.to / 2 months ago
View more

What are some alternatives?

When comparing ImmuniWeb and llama.cpp, you can also consider the following products

Tor Browser - Tor is free software for enabling anonymous communication.

LM Studio - Discover, download, and run local LLMs

Pulse Secure - Pulse Secure provides a consolidated offering for access control, SSL VPN, and mobile device security. Contact Pulse Secure at 408-372-9600 to get a free demo.

Ollama - The easiest way to run large language models locally

Flexera Software Vulnerability Manager - Flexera Software Vulnerability Manager provides solutions to continuously track, identify and remediate vulnerable applications.

Ava PLS - Desktop app for running LLMs locally

Loading...