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Intruder VS NumPy

Compare Intruder VS NumPy and see what are their differences

PlexTrac
PlexTrac is the #1 AI-powered platform for pentest reporting and threat exposure management, helping cybersecurity teams efficiently address the most critical threats and vulnerabilities. featured
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Intruder logo Intruder

Intruder is a security monitoring platform for internet-facing systems.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Intruder Landing page
    Landing page //
    2022-05-04
  • NumPy Landing page
    Landing page //
    2023-05-13

Intruder features and specs

  • Automated Vulnerability Scanning
    Intruder offers comprehensive automated vulnerability scanning, helping organizations detect security issues across their infrastructure without requiring manual intervention.
  • Continuous Monitoring
    The platform provides continuous monitoring to ensure that new vulnerabilities are identified and addressed in real-time, enhancing the overall security posture of the organization.
  • User-Friendly Interface
    Intruder is known for its intuitive and easy-to-use interface, making it accessible for users with varying levels of technical expertise.
  • Integration Capabilities
    Intruder integrates well with popular tools and platforms such as Slack, Jira, and AWS, allowing for seamless workflow management and enhanced operational efficiency.
  • Comprehensive Reporting
    Intruder provides detailed and actionable reports that help security teams prioritize and address vulnerabilities effectively.
  • Regular Updates
    The platform is regularly updated with the latest threat intelligence, ensuring that it is capable of detecting the most recent vulnerabilities.

Possible disadvantages of Intruder

  • Cost
    While Intruder offers robust features, it can be expensive for small businesses or startups with limited budgets.
  • Dependence on Automation
    Relying heavily on automated tools may lead to missed context-specific vulnerabilities that could be identified through manual testing.
  • False Positives
    Like many security scanning tools, Intruder can sometimes generate false positives, which can be time-consuming to investigate and resolve.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve for new users to fully leverage all features and capabilities of the platform.
  • Limited Manual Scan Options
    Intruder focuses primarily on automated scanning, which may limit the ability to perform detailed manual scans that are sometimes necessary for specific use cases.
  • Scalability Challenges
    For very large enterprises with extensive and highly complex infrastructures, the platform might face scalability challenges in covering every aspect comprehensively.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Intruder videos

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NumPy videos

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Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Intruder and NumPy)

Intruder

NumPy

Security
100 100%
Security
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Web Application Security
100 100%
Web Application Security
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Intruder and NumPy

Intruder Reviews

10 Best Burp Suite Alternatives For Windows In 2023
Intruder is an online web application scanner that scans your private and publicly accessible servers, endpoints, cloud servers, and websites to ferret out vulnerabilities. It can easily find weaknesses like misconfiguration, weak passwords, SQL injections, and XSS among many others.
Source: www.softwaretestinghelp.com
Best Burp Suite Alternatives (Free and Paid) for 2023
Offering industry-leading security checks, continuous monitoring and an easy-to-use platform, this tool keeps businesses of all sizes safe from malware and hackers. By integrating Intruder with your cloud platforms, you can maintain perfect visibility of your system and synchronize target scans.
Source: www.softwaretestingmaterial.com
10 Best Tenable Nessus Alternatives For 2021 [Updated List]
Verdict: Intruder allows you to continuously monitor your entire IT network infrastructure in a bid to reduce your attack surface. It generates comprehensive technical reports and analysis with the help of a reliable threat intelligence database to instantly detect and suggest remedial actions to patch the vulnerability. It is excellent when it comes to compliance report...
Source: www.softwaretestinghelp.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Intruder. While we know about 119 links to NumPy, we've tracked only 5 mentions of Intruder. 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.

Intruder mentions (5)

  • You do not know, what you do not know.
    We utilize a tool called intruder.io. This is an automated pentest tool. This tool automatically integrates with your cloud environment and allows you to specify targets to check. You can set up checks to be weekly, monthly, or quarterly. It also allows for scans on emerging threats https://help.intruder.io/en/articles/2068984-emerging-threat-scans-explained. We have this running against our environment alongside... - Source: dev.to / 8 months ago
  • Ask HN: Who is hiring? (October 2022)
    Intruder (https://intruder.io) | Various Engineering roles | Full-Time | London | REMOTE optional (UK or nearby timezone required) Intruder is a SaaS platform that helps companies easily identify their cyber security weaknesses, and fix them, before they get hacked. We're a fast growing startup, over 2200 customers from around the world love our product. Tech stack: Ruby on Rails and Python/Django back-end apps.... - Source: Hacker News / over 2 years ago
  • Someone is trying to break into my NAS at my office
    Use something like intruder.io to scan your external IP address and see if its available from the outside, and take action as necessary. Source: over 3 years ago
  • Boss wants vulnerability scans completed on Linux servers and WordPress websites.
    Well the good-(ish) news is that like I said, regardless of the platform, intruder.io if the website (wordpress) is available from the internet intruder will scan it and produce a good report of any vulnerabilities and recommendations to fix. If you need a better report of vulnerabilities (which includes missing patches and what not) you can install the Nessus agent on the hosts and it too will report back to... Source: about 4 years ago
  • Ask HN: Who is hiring? (April 2021)
    Intruder (https://intruder.io) | Mid + Senior Software Engineer | Full-Time | London | REMOTE optional (UK or nearby timezone required) Intruder is a SaaS platform that helps companies easily identify their cyber security weaknesses, and fix them, before they get hacked. We're a fast growing startup, over 1000 customers from around the world love our product. Tech stack: Ruby on Rails and Python/Django back-end... - Source: Hacker News / about 4 years ago

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Intruder and NumPy, you can also consider the following products

Acunetix - Audit your website security and web applications for SQL injection, Cross site scripting and other...

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Nessus - Nessus Professional is a security platform designed for businesses who want to protect the security of themselves, their clients, and their customers.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

HackerOne - HackerOne provides a platform designed to streamline vulnerability coordination and bug bounty program by enlisting hackers.

OpenCV - OpenCV is the world's biggest computer vision library

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