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What is PentenAmio?

CBG Deception is an AI-powered cyber deception and threat engagement platform developed by PentenAmio for organizations protecting sensitive networks, critical infrastructure, and government systems. The software uses artificial intelligence to accelerate the creation of realistic decoy networks that attract, divert, and expose sophisticated cyber adversaries. Unlike conventional honeypots that primarily simulate individual systems or services, CBG Deception generates interconnected digital environments containing realistic users, documents, communications, and operational activities. Its Content and Behaviour Generator creates artificial personas with defined characteristics and patterns of life that resemble legitimate activity within an organization. Simulated users interact with applications and network resources by sending emails, reading documents, editing files, making calls, and communicating with other users. These activities provide contextual realism intended to make decoy environments more convincing to attackers investigating compromised networks. Intelligent workflow tools guide security teams through designing deception environments, configuring attack paths, planning scenarios, and deploying simulated infrastructure. The platform allows organizations to tailor digital artifacts, user behaviors, environmental characteristics, and deception objectives to their operational requirements. Its automated generation capabilities reduce the time and resources needed to construct realistic deception environments compared with manual configuration. CBG Deception can operate through cloud-based or on-premises deployments and integrates with supported third-party deception platforms to complement existing security operations.

What is Defused?

Defused is a cutting-edge cyber deception platform offered as software-as-a-service (SaaS) that simplifies the implementation and management of deception and moving target defense strategies in both on-premise and cloud environments. Our advanced technology for deceiving attackers enables security professionals to create precise decoy sensors, which helps in recognizing threats within their networks and spotting cyber intrusions without the hassle of complicated setup procedures. As a SaaS offering, our platform ensures effortless management, even across complex distributed systems. Users can swiftly download and set up a virtual machine on their local or cloud network, which will automatically distribute our deception decoys throughout that infrastructure. These decoys are connected to a centralized management dashboard that operates in the cloud, sending alerts about any detected attacker activities back to the dashboard via a secure one-way channel. Furthermore, our platform includes strong exploit detection features designed to uncover both new and unpatched vulnerabilities, delivering a thorough approach to safeguarding cybersecurity. Ultimately, Defused empowers organizations to considerably bolster their defenses against possible cyber threats while streamlining their security operations.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

PentenAmio

Date Founded

2014

Company Location

Australia

Company Website

pentenamio.com/ai-cyber-defence/

Company Facts

Organization Name

Aves Netsec

Date Founded

2014

Company Location

Finland

Company Website

www.avesnetsec.com/product

Categories and Features

Deception Technology

Not specified

Categories and Features

Deception Technology

Not specified

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