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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 Qualys Multi-Vector EDR?

Traditional endpoint detection and response (EDR) systems primarily focus on monitoring endpoint activities to spot potential threats, leading to a limited perspective that often compromises the accuracy of attack assessments and results in an inadequate grasp of security incidents, which may contribute to a high frequency of false positives and negatives. As a result, organizations frequently find themselves compelled to implement various point solutions and maintain extensive teams to handle incident responses effectively. To overcome these challenges, Qualys presents a groundbreaking multi-vector strategy that capitalizes on the powerful features of its scalable Cloud Platform, thereby enriching EDR with critical context and broad visibility that spans the entire attack lifecycle—from prevention to detection and through to response. The Qualys Multi-Vector EDR brings together diverse contextual factors, including asset discovery, an in-depth software inventory, insights into aging assets, vulnerabilities, exploitable conditions, misconfigurations, detailed endpoint telemetry, and network accessibility, all supported by a robust backend architecture that enables precise correlation for thorough assessment, detection, and response, all within a unified cloud-based solution. This innovative approach not only simplifies the overall process but also significantly enhances organizations' ability to react swiftly and effectively to emerging threats, ensuring more resilient security postures. By integrating comprehensive visibility and contextual intelligence, organizations can improve their incident response strategies dramatically.

Media

Media

Integrations Supported

JavaScript
Python

Integrations Supported

Chronicle SOAR
Panaseer
Phoenix Security

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Rebuff AI

Company Website

www.rebuff.ai/

Company Facts

Organization Name

Qualys

Date Founded

1999

Company Location

United States

Company Website

www.qualys.com/apps/endpoint-detection-response/

Categories and Features

Application Security

Not specified

Categories and Features

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