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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 ImmuniWeb® 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. ImmuniWeb’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.
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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 ImmuniWeb® 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.
ImmuniWeb's answer
Companies and organizations of all sizes.
ImmuniWeb's answer
AI, Machine Learning
ImmuniWeb's answer
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.
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. ImmuniWeb’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.
Based on our record, Scikit-learn seems to be more popular. It has been mentiond 27 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.
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
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.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Flexera Software Vulnerability Manager - Flexera Software Vulnerability Manager provides solutions to continuously track, identify and remediate vulnerable applications.
OpenCV - OpenCV is the world's biggest computer vision library
StackPath - Secure Content Delivery Network, DDoS, WAF Service
NumPy - NumPy is the fundamental package for scientific computing with Python