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What is ZeroHack TRACE?

ZeroHack TRACE is a sophisticated framework for cyber threat intelligence that employs decoy technology alongside various sensors to effectively gather and assess threat information. It features adaptable, intelligent shifting sensors that are not only easily reconfigurable but also possess self-healing properties. With an advanced deep packet inspection (DPI) engine, TRACE is able to capture real-time data, facilitating thorough user analysis. The data processed from specialized honeynets significantly enhances visualization and correlation, empowering analysts to bolster network security in a holistic manner. Furthermore, the Dynamic Intelligent Shifting Sensors (DISS) within ZeroHack TRACE augment protection by frequently changing sensor locations, making it harder for malicious entities to detect them. Additionally, ZeroHack TRACE is designed with honeynets specifically crafted for diverse IT environments, ensuring they function at peak efficiency. Each sensor is capable of self-repairing after an attack and can automatically update, which greatly alleviates maintenance responsibilities for users. Moreover, the deployment of a deep packet inspection engine within each sensor allows for the instantaneous capture of data, supporting meticulous monitoring of networks and swift identification of threats. This cutting-edge framework not only strengthens security protocols but also adapts dynamically to the continuously changing landscape of cyber threats, making it an essential tool for modern cybersecurity efforts. As cyber threats evolve, ZeroHack TRACE remains at the forefront of protective technology.

What is PolySwarm?

PolySwarm introduces a distinctive multiscanner that incorporates financial stakes, whereby threat detection engines back their evaluations with monetary investments tied to specific artifacts, like files or URLs, and encounter monetary rewards or penalties based on the accuracy of their conclusions. This intricate mechanism is governed by automated software that functions almost in real-time, allowing users to submit artifacts via an API or a web interface. Once submitted, the system generates crowdsourced intelligence, providing users with the assessments from various engines along with an overall rating called PolyScore. The funds allocated for bounties, combined with the claims made by the engines, operate as a reward system secured within an Ethereum smart contract. Engines that successfully detect threats receive the initial bounty from the organization, in addition to the contributions from those engines that misidentify the threats, thereby creating a competitive landscape that prioritizes accuracy and dependability. This forward-thinking method not only motivates precision but also guarantees that users obtain reliable threat intelligence promptly, enhancing their overall security posture. Additionally, the architecture of PolySwarm promotes collaboration among engines, further refining the quality of threat detection.

Media

Media

Integrations Supported

Cyberstanc Scrutiny

Integrations Supported

Cyberstanc Scrutiny

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$299 per month
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

WhizHack

Company Location

India

Company Website

whizhack.com/cyber-security-products/zero-hack/trace

Company Facts

Organization Name

PolySwarm

Date Founded

2017

Company Location

United States

Company Website

polyswarm.io

Categories and Features

Categories and Features

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