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Description
Businesses are increasingly confronted with the dangers posed by harmful Wi-Fi hotspots and the myriad of applications found on employee-owned devices. Among these applications are not only malware but also what is termed "riskware" – software that, while not directly harmful, can engage in activities that jeopardize the security of company data. These various threats collectively put enterprise users at risk of data leaks, identity theft, and the unauthorized transfer of sensitive information, which can be exploited to conduct sophisticated attacks targeting specific individuals. Employees often connect to public Wi-Fi networks and unwittingly grant extensive permissions to these riskware applications, failing to recognize that their personal and organizational information could be transmitted to distant servers and advertising platforms worldwide, creating opportunities for cybercriminals to exploit this data. As such, organizations must prioritize educating their employees about these risks to safeguard their sensitive information more effectively.
Description
Compile embeddings from past attacks in a vector database to identify and avert similar threats down the line. Employ a specialized model to scrutinize incoming prompts for potential attack patterns. Incorporate canary tokens within prompts to monitor for any data leaks, enabling the system to catalog embeddings for incoming prompts in the vector database and thwart future attacks. Additionally, preemptively screen for harmful inputs before they reach the model, ensuring a more secure analysis process. This multi-layered approach enhances the overall defense mechanism against potential security breaches.
API Access
Has API
API Access
Has API
Integrations
JavaScript
Python
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
Proofpoint
Founded
2002
Country
United States
Website
www.proofpoint.com/us/resources/datasheets/mobile-defense
Vendor Details
Company Name
Rebuff AI
Website
www.rebuff.ai/
Product Features
Application Security
Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation
Endpoint Protection
Activity Log
Antivirus
Application Security
Behavioral Analytics
Device Management
Encryption
Signature Matching
Web Threat Management
Whitelisting / Blacklisting
Product Features
Application Security
Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation