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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 QuillAudits?

We are revolutionizing the security landscape by deploying customized AI agents in conjunction with a decentralized network of distributed intelligence. This groundbreaking strategy transforms the security framework by utilizing a decentralized AI agent network based on EigenLayer AVS. Our AI agent efficiently detects and resolves more than 100 vulnerabilities in Solidity code, allowing developers to outwit cybercriminals and reduce the risk of financial losses. Additionally, our digital asset AI agent acts as a formidable barrier against cryptocurrency fraud, protecting users from risks such as rug pulls and honeypot tokens. By uncovering potential honeypots, elucidating token permissions, and offering in-depth market analytics, we significantly bolster community safety. Our sophisticated rug pull detection system features engaging charts and risk metrics, making it easier for users to evaluate token security across multiple chains through comprehensive assessments of both market conditions and code integrity. This all-encompassing methodology not only enhances security but also fosters greater trust within the community, ultimately contributing to a more secure cryptocurrency ecosystem. Furthermore, our commitment to continuous improvement ensures that we remain at the forefront of evolving threats and protective measures.

Media

Media

Integrations Supported

Binance
Chainlink
Eigenlayer
Ethereum
PancakeSwap
Polygon (Matic)
Rust
Sell-It Suite
Solana
Solidity
Sui
Uniswap

Integrations Supported

Binance
Chainlink
Eigenlayer
Ethereum
PancakeSwap
Polygon (Matic)
Rust
Sell-It Suite
Solana
Solidity
Sui
Uniswap

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

QuillAudits

Company Location

United Arab Emirates

Company Website

www.quillaudits.com

Categories and Features

Categories and Features

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