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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

Screenshots View All

Screenshots View All

Integrations

JavaScript
Python

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

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