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Description

CyAmast offers unparalleled insight and forensic capabilities in the realm of IoT security. With a user-friendly interface, it allows individuals to monitor the activities of both individual and grouped IoT devices effortlessly, delivering detailed real-time reports. This innovative Australian company is revolutionizing how enterprises and governmental bodies safeguard their networks against the relentless threat of cyber attacks. By leveraging cutting-edge technology powered by Artificial Intelligence and Machine Learning, CyAmast passively identifies, detects, classifies, and protects organizations from the rapidly expanding IoT attack surface. It meticulously compiles a comprehensive inventory of all existing, new, and replaced IoT devices connected to the network while generating vulnerability reports. Acting much like a security system, CyAmast promptly alerts network operators to any suspicious traffic patterns detected within the IoT and Operational Technology (OT) networks. Furthermore, it diligently logs network behaviors to ensure compliance with regulatory standards, enhancing overall cybersecurity posture. This proactive approach to network security not only mitigates risks but also empowers organizations to respond swiftly to potential threats.

Description

To effectively identify sophisticated threats, it is essential to conduct thorough inspection, extraction, and real-time analysis of all types of content traversing the network. Fidelis' network detection and response technology systematically scans all ports and protocols in both directions, gathering extensive metadata that serves as the foundation for robust machine-learning analytics. By utilizing sensors for direct, internal, email, web, and cloud communications, you achieve comprehensive network visibility and coverage. The tactics, techniques, and procedures (TTPs) of identified attackers are aligned with the MITRE ATT&CK™ framework, enabling security teams to proactively address potential threats. While threats may attempt to evade detection, they ultimately cannot escape. You can automatically profile and categorize IT assets and services, including enterprise IoT devices, legacy systems, and shadow IT, to create a detailed map of your cyber landscape. Furthermore, when combined with Fidelis' endpoint detection and response offering, you obtain a software asset inventory linked to known vulnerabilities, such as CVE and KB references, along with an assessment of security hygiene concerning patches and the status of endpoints. This comprehensive approach equips organizations with the tools needed to maintain a resilient cybersecurity posture.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Fidelis Endpoint
Fidelis LRM
Google Digital Risk Protection
Intellicta
ThreatConnect Risk Quantifier (RQ)

Integrations

Fidelis Endpoint
Fidelis LRM
Google Digital Risk Protection
Intellicta
ThreatConnect Risk Quantifier (RQ)

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

CyAmast

Founded

2020

Country

Australia

Website

www.cyamast.com

Vendor Details

Company Name

Fidelis Security

Founded

2002

Country

United States

Website

fidelissecurity.com/products/network/

Product Features

Product Features

Data Loss Prevention

Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting

Network Traffic Analysis (NTA)

Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption

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