Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AuraWatcher is an AI-driven tool designed to monitor reputations by analyzing the comment sections of public social media profiles, currently focusing on TikTok, to identify potential reputation threats before they escalate. Rather than relying solely on keyword matching, its advanced language model comprehensively understands nuances like sarcasm, irony, and slang, categorizing comments into various threat types such as harassment, legal risks, boycott calls, and physical threats, while assigning severity scores ranging from 1 to 100 based on severity, reach, and speed of propagation. The tool also features surge detection to identify coordinated attacks and distinguishes between new hostility and older comments that have resurfaced. Users can easily add any public profile using the handle without needing to log in or provide passwords, and the tool checks recent posts at specified intervals, focusing on the most prominent comments. When the monitored activity surpasses user-defined thresholds, alerts are sent via email, browser notifications, or Telegram, complete with easy-to-understand summaries. Additionally, a user-friendly dashboard provides insights into trends, active alerts, resolution times, and the status of each profile being monitored. For agencies and enterprise users, upgraded tiers offer enhanced features like multi-profile management, team collaboration tools, and the ability to integrate with custom systems, ensuring comprehensive reputation oversight across a broader range of profiles. This multifaceted approach empowers users to stay ahead of potential reputation issues effectively.
Description
Secure your valuable source code and safeguard your sensitive assets with the QShield compiler-obfuscator, which offers robust protection for applications against both static and dynamic analyses. Software deployed in untrusted environments faces significant risks of reverse engineering, as applications operating on devices accessible to attackers are susceptible to numerous tactics aimed at uncovering secrets and intellectual property. To thwart unauthorized access and prevent tampering or recovery of the source code from the binary, it is essential to implement software protection strategies that help maintain revenue streams and safeguard intellectual property. QShield provides over 30 distinct obfuscation techniques, allowing for precise control over the protection settings via a file-based policy or inline comments within the code. Additionally, it supports build diversification, meaning each compiled application is unique, influenced by a user-defined randomness seed. Enhanced security features include integrity checks and the ability to detect debuggers, emulators, and hooking frameworks, ensuring a comprehensive defense against potential threats. Ultimately, this solution not only fortifies your software but also enhances your overall security posture in a competitive landscape.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
TikTok
Pricing Details
$49/month
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
AuraWatcher
Founded
2026
Country
Poland
Website
aurawatcher.com
Vendor Details
Company Name
Quarkslab
Founded
2011
Country
France
Website
www.quarkslab.com/source-code-obfuscation-software/
Product Features
Reputation Management
Campaign Management
Gamification
Response Management
Review Generation
Review Monitoring
Sentiment Analysis
Social Media Metrics
Social Media Monitoring
White Label