> For the complete documentation index, see [llms.txt](https://docs.material.security/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.material.security/email-protections/email-threats.md). # Email Threats ## Overview Protect your organization from sophisticated email attacks with one solution for advanced inbound detection, threat hunting, abuse-mailbox automation, and real-world training—all built to complement the native defenses you already have. Material Email Threat protection extends the security capabilities of Google Workspace and Microsoft 365, and allows your security team to manage the entire phishing lifecycle, from detection, to remediation, to end-user education. {% @arcade/embed url="" flowId="GiRjhOefBo8GxEvLdGg2" %} {% hint style="success" %} :sparkles: [Click here to get started](/getting-started/deployment-guides/your-first-30-days/6-enable-email-remediation/configure-user-reporting.md), then explore the other guides linked below to learn more about all the flexible, custom options. {% endhint %}


Detections	With built-in detection, abuse mailbox integration, and custom rules, Material uses a multi-faceted approach to detect evasive attacks that bypass Microsoft and Google security.		Detections
Issues	Material automatically analyzes reported messages to find similar threats and automatically de-escalate false positives.		Issues
Remediate and Respond	Instantly remediate attacks with unique remediations that balance security and end-user productivity. Streamline your triage workflow with a single feed of all suspicious messages, regardless of attack type or detection source.		Settings
Report		Use multiple reports to analyze trends across issues.	Report
Simulations	Leverage actual attacks seen in your environment for new simulations while avoiding the deliverability and tracking issues that plague legacy simulation tools.		Simulations

[^1]: grouped as cases --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.material.security/email-protections/email-threats.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.