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    TrapEye - Honeypot & Deception-Based Threat Detection Platform

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    Sold by: Anantis 
    Deployed on AWS
    AWS Free Tier
    TrapEye is an advanced cybersecurity deception platform that detects intruders the moment they interact with your network. Deploy realistic honeypots and decoy assets across cloud and on-premise environments to gain instant visibility into attacker activity, reduce Mean Time to Detect (MTTD), and stop advanced threats before they cause damage.

    Overview

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    TrapEye by ANANTIS is a next-generation cybersecurity deception platform designed to detect and analyze sophisticated threats through active deception.

    By deploying realistic traps, honeypots, and decoy assets, TrapEye detects intruders the moment they interact with the environment, significantly reducing Mean Time to Detect (MTTD).

    High-fidelity, deception-based alerts eliminate noise and false positives, providing security teams with actionable intelligence. TrapEye integrates seamlessly with existing SOC workflows and SIEM platforms, and supports deployment across AWS, hybrid, and on-premise environments. Each detected interaction is automatically mapped to the MITRE ATT&CK® framework, giving analysts clear visibility into attacker tactics and techniques.

    TrapEye appliances can be deployed in minutes via AWS AMI and securely connect to the TrapEye SaaS management console for centralized monitoring, analytics, and alerting. The SaaS platform is hosted in Switzerland under Swiss jurisdiction, ensuring strong data protection and regulatory compliance.

    TrapEye follows a Bring Your Own License (BYOL) model. A valid TrapEye subscription is required to activate and manage deployed appliances.

    Learn more: https://anantis.io 

    Highlights

    • Real-time deception-based intrusion detection using honeypots and decoy assets with near-zero false positives.
    • Deploy in minutes via AWS AMI + SaaS to protect AWS, hybrid, and on-premise environments with a single deception platform.
    • Reduce MTTD dramatically by exposing lateral movement and attacker activity at first interaction.

    Details

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    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

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    Debian 13

    Deployed on AWS
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    Pricing

    TrapEye - Honeypot & Deception-Based Threat Detection Platform

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    Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    License and refund policies are governed by your agreement with Anantis.

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    First AWS version

    Additional details

    Usage instructions

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    Vendor resources

    Support

    Vendor support

    Support is provided via email with responses within 24 hours. Our team offers guidance on setup, deployment, and troubleshooting.

    support@anantis.io 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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