Compare the Top Deception Technology Software that integrates with GitHub as of June 2025

This a list of Deception Technology software that integrates with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

What is Deception Technology Software for GitHub?

Deception technology software, also known as threat deception software, helps organizations detect and respond to cyber threats by creating fake assets, such as decoy servers, files, or databases, to lure attackers away from real systems. It identifies malicious activity by tracking interactions with these decoys, which reveal attempts to exploit vulnerabilities or steal data. The software often includes features like automated deployment of deceptive elements, real-time alerts, and detailed threat analysis to aid in faster response and mitigation. By confusing and misleading attackers, deception technology reduces the risk of breaches and provides valuable insights into attack methods. Ultimately, it strengthens an organization's cybersecurity defenses by detecting threats early and enhancing overall security posture. Compare and read user reviews of the best Deception Technology software for GitHub currently available using the table below. This list is updated regularly.

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    Tracebit

    Tracebit

    Tracebit

    Tracebit generates and maintains tailored canary resources in your cloud environments, closing gaps in stock protection without time and cost intensive detection engineering. Tracebit generates and maintains dynamic cloud canaries. Tracebit alerts have inherent context that can be understood and actioned by the whole team. We cover a full and growing range of cloud resources, and continue to evolve and refresh your canaries instep with your environment to constantly keep your adversaries guessing. Leverage our infrastructure as code integration and automated canary recommendations to scale our cloud canaries across your estate rapidly.
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