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Description
MASST (Mobile Application Security Suite & Tools) serves as an integrated platform focused on ensuring the security of mobile applications by identifying, safeguarding, and overseeing them throughout their development and operational phases. Within its Threat Detection component, the suite incorporates various modules, including CodeLock for analyzing vulnerabilities across more than 50 vectors, RunLock for conducting runtime evaluations and simulating attacks, APILock for identifying and securing API endpoints, and ThreatLock for comprehensive red-teaming evaluations. To mitigate potential threats, the suite provides protective measures such as Defender, which employs RASP for real-time shielding; Shield, designed to prevent reverse-engineering and intellectual property theft; and Guard, which securely manages local storage of sensitive data, keys, and certificates using white-box cryptography. Additionally, the Threat Visibility layer features the ThreatLens Dashboard, which enables real-time surveillance, analytical assessments, and practical insights related to attacks, anomalies, and the overall security status of applications. This holistic approach not only safeguards mobile applications but also empowers developers with the tools necessary to enhance their security measures continuously.
Description
Workplace usage of AI tools such as ChatGPT, Copilot, Claude, and DeepSeek has surged, frequently occurring without the necessary oversight from IT departments. An alarming 78% of employees acknowledge utilizing ChatGPT for professional purposes, thereby exposing sensitive information like financial data, API keys, passwords, source code, and personal records to potential risks. Traditional Data Loss Prevention (DLP) solutions and proxies are inadequately equipped to handle this new form of threat. Enter ZeusLock, a DLP solution specifically designed for the AI-driven landscape. It seamlessly identifies and prevents sensitive data from being transmitted to any AI service, ensuring security. The installation process is rapid, taking merely two minutes through a browser extension and a workstation agent, and it effectively protects web applications, integrated development environments (IDEs), command terminals, and AI agents via its Multi-Channel Protection (MCP) system. When a threat is identified, ZeusLock either notifies the user or blocks the action, depending on established policies, while meticulously recording every incident for comprehensive auditing. Additionally, it offers protection against various attacks, including Prompt Injection and Jailbreak attacks, as well as unauthorized shadow AI applications like DeepSeek. The detection capabilities operate locally, utilizing a machine learning API based in Europe to guarantee data sovereignty, all while maintaining zero latency and ensuring no hindrance to productivity. This innovative approach not only fortifies data security but also empowers organizations to embrace AI tools with confidence.
API Access
Has API
API Access
Has API
Integrations
Model Context Protocol (MCP)
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
Bugsmirror
Founded
2021
Country
India
Website
bugsmirror.com/masst
Vendor Details
Company Name
ZeusLock
Founded
2025
Country
France
Website
zeuslock.ai
Product Features
Static Application Security Testing (SAST)
Application Security
Dashboard
Debugging
Deployment Management
IDE
Multi-Language Scanning
Real-Time Analytics
Source Code Scanning
Vulnerability Scanning
