Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
JavaScript
No
Python
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Open Source Component Monitoring
No
Source Code Analysis
No
Third-Party Tools Integration
No
Training Resources
Yes
Vulnerability Detection
Yes
Vulnerability Remediation
Yes
Endpoint Protection
Activity Log
No
Antivirus
No
Application Security
Yes
Behavioral Analytics
No
Device Management
No
Encryption
No
Signature Matching
No
Web Threat Management
No
Whitelisting / Blacklisting
No
Product Features
Application Security
Analytics / Reporting
No
Open Source Component Monitoring
No
Source Code Analysis
No
Third-Party Tools Integration
No
Training Resources
No
Vulnerability Detection
No
Vulnerability Remediation
No