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Description
SlashNext's solutions for anti-phishing and incident response effectively combat threats in mobile, email, and web environments, significantly minimizing the chances of data breaches, cyber extortion, and theft. They safeguard users on iOS and Android devices against phishing attacks tailored for mobile platforms through a compact, cloud-enhanced agent. Employees are also protected from real-time phishing attempts thanks to cloud-based browser extensions compatible with all leading desktop browsers. By leveraging live threat intelligence, organizations can transform their current network security measures into a proactive, multi-faceted defense against phishing attacks. The process of managing phishing incidents and conducting threat hunting can be automated with precise, on-the-fly assessments of suspicious URLs whenever needed. Attackers often utilize targeted strategies to hijack individual accounts or impersonate specific users, employing deception tactics to coerce victims into revealing sensitive information for illicit purposes. Furthermore, malicious HTML, PDF, and Microsoft Office attachments are frequently deployed to extract credentials or install harmful software on unsuspecting systems. Awareness of these varied threats is crucial for developing effective defenses against evolving cyber risks.
Description
The V-OS Mobile App Protection solution is designed to identify and safeguard mobile applications against a wide range of threats, including reverse-engineering, hooking, tampering, app integrity checks, library signature validation, code injection, and debugging among others. Even in an insecure operating system environment where the device may be compromised, applications utilizing V-OS Mobile Application Protection have mechanisms for detecting rooted and jailbroken devices, ensuring that the app can operate effectively while maintaining its integrity and confidentiality, all without jeopardizing its security or exposing sensitive data contained within. Built upon V-Key’s patented V-OS Virtual secure element, this solution provides an additional layer of tamper resistance and security features. The V-OS Mobile App Protection was developed as a flexible option to balance security with user convenience for enterprise users. By integrating a variety of protective techniques, it exemplifies the essence of true cybersecurity, emphasizing the importance of a multifaceted approach to digital safety. Ultimately, the goal is to create a seamless user experience while upholding the highest standards of protection against potential threats.
API Access
Has API
API Access
Has API
Integrations
Google Chrome
Joe Sandbox
Microsoft Edge
Mozilla Firefox
ThreatConnect Risk Quantifier (RQ)
ThreatQ
V-OS Virtual Secure Element
Integrations
Google Chrome
Joe Sandbox
Microsoft Edge
Mozilla Firefox
ThreatConnect Risk Quantifier (RQ)
ThreatQ
V-OS Virtual Secure Element
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
SlashNext
Founded
2014
Country
United States
Website
www.slashnext.com
Vendor Details
Company Name
V-KEY
Founded
2011
Country
United States
Website
www.v-key.com/products/v-os-mobile-app-protection/
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
Vulnerability Management
Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning