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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

Chronicle SOAR
JavaScript
Panaseer
Phoenix Security
Python

Integrations Supported

Chronicle SOAR
JavaScript
Panaseer
Phoenix Security
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site 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

Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation

Categories and Features

Endpoint Detection and Response (EDR)

Behavioral Analytics
Blacklisting/Whitelisting
Continuous Monitoring
Malware/Anomaly Detection
Prioritization
Remediation Management
Root Cause Analysis

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