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features
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Description

Three out of four businesses face the threat of computer breaches or hacking incidents. Despite this alarming statistic, a staggering 90% of these organizations rely on critical security solutions that fail to identify such malicious intrusions. Advanced Persistent Threats (APTs), harmful behaviors, viruses, and crypto lockers are capable of bypassing existing security protocols, with no current method able to effectively recognize these threats. Nevertheless, these cyber attacks leave behind traces that signify their occurrence. The challenge lies in identifying these harmful indicators amidst vast data sets, a task that current security tools struggle to accomplish. Reveelium addresses this issue by correlating and aggregating various logs from an organization's information system, enabling the detection of ongoing attacks or harmful activities. As a vital asset in the battle against cyber threats, Reveelium's SIEM can function independently or be enhanced with tools like Ikare, Reveelium UEBA, or ITrust’s Acsia EDR, creating a comprehensive next-generation Security Operations Center (SOC). Furthermore, organizations can have their practices evaluated by an external party to gain an impartial assessment of their security posture, ensuring a more robust defense against cyber threats. This holistic approach not only strengthens security measures but also provides valuable insights for ongoing improvement.

Description

ZeroHack TRACE is an advanced cyber threat intelligence framework that utilizes decoy technology along with a variety of sensors to create and evaluate threat data effectively. It provides dynamic, customizable intelligent shifting sensors that can be easily reconfigured and possess self-healing capabilities. Equipped with a specialized deep packet inspection (DPI) engine, TRACE captures real-time data for in-depth user analysis. The processed data from honeynets significantly improves visualization and correlation, thereby empowering analysts to strengthen network security comprehensively. The Dynamic Intelligent Shifting Sensors (DISS) within ZeroHack TRACE enhance security further by periodically altering sensor locations to evade detection by malicious actors. Additionally, ZeroHack TRACE incorporates honeynets tailored to specific IT environments, ensuring optimal functionality. The sensors are designed to self-repair from attacks and automatically update, which drastically reduces the maintenance burden on customers. Each sensor is equipped with a deep packet inspection engine that facilitates real-time data capture, allowing for meticulous network monitoring and rapid threat identification. This innovative framework not only bolsters security measures but also adapts to the ever-evolving landscape of cyber threats.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

ITrust.fr

Founded

2007

Country

France

Website

www.itrust.fr/en/reveelium-siem/

Vendor Details

Company Name

WhizHack

Country

India

Website

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

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

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