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What is RevBits Deception Technology?

RevBits Deception Technology significantly improves the threat-hunting abilities of security teams by offering a sophisticated framework in the realm of deception and honeypot strategies. By utilizing authentic server-based honeypots in resource-constrained environments, the line between real and fake servers becomes virtually indistinguishable. Through the strategic deployment of deceptive honey drop credentials across the network, it becomes easier to pinpoint and isolate potential vulnerabilities. This technology is meticulously designed to attract, capture, and retain any malicious activities or software that may breach the network while seeking out valuable assets. The use of genuine server-based decoys simplifies the differentiation between legitimate applications and harmful entities. Furthermore, the integrated solutions from RevBits promote seamless intelligence sharing across various modules via standardized logging, thereby enhancing detection capabilities, minimizing response times, and bolstering the security of network assets, including honeypots. This comprehensive approach not only strengthens the defenses of organizations against emerging threats but also fosters a proactive security culture within teams. Ultimately, the deployment of RevBits Deception Technology represents a pivotal advancement in organizational cybersecurity.

What is FortiDeceptor?

FortiDeceptor significantly improves the detection and containment of sophisticated threats, both human and automated, by luring attackers into revealing their identities. As a crucial element of the Fortinet SecOps Platform, it effectively pinpoints and mitigates in-network vulnerabilities such as the exploitation of compromised credentials, lateral movement, man-in-the-middle exploits, and ransomware attacks. Integrating FortiDeceptor into your cybersecurity strategy shifts your approach from reactive to proactive, employing intrusion detection combined with contextual insights. The system entices intruders during the reconnaissance phase through a diverse array of deception assets strategically distributed across your network infrastructure. It generates high-fidelity alerts based on real-time interactions with both attackers and malicious software, facilitating comprehensive investigations into attack activities and enabling prompt isolation actions. This functionality significantly alleviates the burden on Security Operations Center (SOC) teams, who regularly contend with a deluge of false-positive notifications. Additionally, FortiDeceptor accommodates a range of deployment options tailored to meet various organizational requirements. Its adaptability and efficiency make it an essential tool for strengthening overall cybersecurity measures, ensuring that organizations remain a step ahead of potential threats.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

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

RevBits

Date Founded

2016

Company Location

United States

Company Website

revbits.com/products/revbits-deception-technology

Company Facts

Organization Name

Fortinet

Date Founded

2000

Company Location

United States

Company Website

www.fortinet.com/products/fortideceptor

Categories and Features

Categories and Features

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