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What is Tisane?

The Tisane API serves as a natural language understanding tool specifically designed for law enforcement and the detection of abusive content. It is adept at identifying various issues, including but not limited to: • Hate speech • Cyberbullying • Criminal behavior • Sexual propositions • Efforts to make unauthorized external contact Furthermore, Tisane not only highlights the problematic areas within the text but can also offer explanations for review or verification purposes. Impressively, the API supports 30 different languages, effectively managing even those that incorporate slang or disguised language. This versatility enhances its utility in diverse linguistic environments.

What is JS-Confuser?

JS-Confuser serves as a powerful open-source utility designed to obfuscate JavaScript code, altering it into a format that is nearly impossible to decipher, thus safeguarding against reverse engineering and unauthorized modifications while keeping the code fully functional. The tool utilizes a variety of obfuscation techniques, including renaming of variables, flattening of control flows, string concealment, and function obfuscation, in addition to protective features like execution locks that depend on the domain or date and integrity checks to detect any runtime alterations. With flexibility at its core, JS-Confuser provides a selection of obfuscation presets, offering transformation layers that range from 10 to more than 21, along with options for complete customization to meet precise performance and security needs. This application operates entirely within a web browser, facilitating swift and private obfuscation tasks, and is enhanced with sophisticated capabilities such as an interactive playground for practical experimentation, customizable settings through JavaScript, built-in code formatting, and debugging support. Furthermore, JS-Confuser is not only user-friendly but also adapts to the evolving needs of developers, making it an indispensable resource for anyone seeking to secure their JavaScript code effectively. Ultimately, JS-Confuser is recognized as a robust solution for developers aiming to enhance the security of their JavaScript applications.

Media

Media

Integrations Supported

GitHub
JavaScript
Make
Maltego
PubNub
Slack
Zapier
Zendesk Sunshine

Integrations Supported

GitHub
JavaScript
Make
Maltego
PubNub
Slack
Zapier
Zendesk Sunshine

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tisane Labs

Date Founded

2017

Company Location

Singapore

Company Website

tisane.ai

Company Facts

Organization Name

JS-Confuser

Company Location

United States

Company Website

js-confuser.com

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

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