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Description
AppSweep is a specialized tool for testing the security of mobile applications, aimed at assisting developers in pinpointing and addressing vulnerabilities in their Android and iOS applications and SDKs. It provides unlimited scans, accommodating any number of apps and users, which ensures effortless integration into existing DevOps workflows and corporate systems. By aligning its findings with OWASP MASVS criteria, AppSweep delivers a clear classification and prioritization of vulnerabilities, thereby enhancing communication with security teams and empowering developers to make well-informed decisions regarding their app security. Tailored for mobile platforms, AppSweep effectively tackles unique risks by detecting potential threats and supplying actionable recommendations for resolution. Its intuitive interface enables developers to easily navigate through the identified issues and rectify security flaws swiftly. Additionally, AppSweep accommodates both static and interactive application security testing, allowing for a thorough examination of code and dependencies, which bolsters overall application security. Users can rely on AppSweep to facilitate a more secure development environment while improving their apps’ integrity.
Description
Utilize Weights & Biases (WandB) for experiment tracking, hyperparameter tuning, and versioning of both models and datasets. With just five lines of code, you can efficiently monitor, compare, and visualize your machine learning experiments. Simply enhance your script with a few additional lines, and each time you create a new model version, a fresh experiment will appear in real-time on your dashboard. Leverage our highly scalable hyperparameter optimization tool to enhance your models' performance. Sweeps are designed to be quick, easy to set up, and seamlessly integrate into your current infrastructure for model execution. Capture every aspect of your comprehensive machine learning pipeline, encompassing data preparation, versioning, training, and evaluation, making it incredibly straightforward to share updates on your projects.
Implementing experiment logging is a breeze; just add a few lines to your existing script and begin recording your results. Our streamlined integration is compatible with any Python codebase, ensuring a smooth experience for developers.
Additionally, W&B Weave empowers developers to confidently create and refine their AI applications through enhanced support and resources.
API Access
Has API
API Access
Has API
Integrations
Android
Apple iOS
Axolotl
Cuckoo
Disco.dev
Jupyter Notebook
Keras
Lightly
Ludwig
NVIDIA AI Foundations
Integrations
Android
Apple iOS
Axolotl
Cuckoo
Disco.dev
Jupyter Notebook
Keras
Lightly
Ludwig
NVIDIA AI Foundations
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Guardsquare
Founded
2014
Country
Belgium
Website
www.guardsquare.com/appsweep-mobile-application-security-testing
Vendor Details
Company Name
Weights & Biases
Founded
2017
Country
United States
Website
wandb.ai/site
Product Features
Mobile App Testing
Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
