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What is Rebuff AI?

Gather embeddings from previous attacks into a vector database to recognize and prevent similar threats in the future. Utilize a dedicated model to analyze incoming requests for possible attack signatures. Add canary tokens in the prompts to detect any data breaches, which allows the system to store embeddings of incoming prompts in the vector database, ultimately helping to prevent future attacks. Furthermore, proactively assess harmful inputs before they interact with the model, thereby enhancing the safety of the analysis process. This comprehensive strategy not only strengthens the defense mechanisms but also ensures that potential vulnerabilities are addressed in a timely manner. By continuously evolving the detection methods, the system can adapt to new threats effectively.

What is Proofpoint Mobile Defense?

Companies are increasingly facing threats from dangerous public Wi-Fi hotspots and the various applications present on personal devices owned by employees. These applications include not only harmful malware but also "riskware," which refers to software that may not be overtly dangerous yet can engage in behaviors that compromise the security of corporate data. Together, these threats expose enterprise users to potential data breaches, identity theft, and the unauthorized dissemination of confidential information, all of which can be leveraged for complex attacks against specific targets. Many employees connect to unsecured public Wi-Fi networks and unknowingly grant extensive permissions to these riskware applications, often without realizing that their personal and corporate data could be sent to remote servers and advertising networks globally, thus creating new avenues for cybercriminals to exploit this information. To effectively protect their sensitive data, organizations must place a strong emphasis on educating their workforce about these emerging threats and the importance of cautious online behavior. This proactive approach can significantly reduce the likelihood of a security incident stemming from employee negligence.

Media

Media

Integrations Supported

JavaScript
Python

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Rebuff AI

Company Website

www.rebuff.ai/

Company Facts

Organization Name

Proofpoint

Date Founded

2002

Company Location

United States

Company Website

www.proofpoint.com/us/resources/datasheets/mobile-defense

Categories and Features

Application Security

Not specified

Categories and Features

Application Security

Training Resources
Vulnerability Detection
Vulnerability Remediation

Endpoint Protection

Application Security

Mobile Threat Defense

Not specified

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