# Reference - [AI and ML terminology](https://docs.vectra.ai/reference/ai-and-ml-terminology.md): Definitions for common AI/ML terms used in Vectra docs. - [Vectra AI prioritization and scoring factors](https://docs.vectra.ai/reference/ai-driven-priortization-faq.md): FAQ for AI-driven Prioritization (Urgency scoring) in Respond UX. - [Appliance support and EOS / EOL policy](https://docs.vectra.ai/reference/appliance-eos-eol-policy.md): Appliance support policies, End-of-Sale (EOS) announcements, and End-of-Sale/End-of-Life (EOL) dates for Vectra appliances. - [Bandwidth used between Sensor and Brain](https://docs.vectra.ai/reference/bandwidth-used-between-sensor-and-brain.md): Expected bandwidth from Sensor to Brain and how to interpret low-bandwidth alerts. - [How detection PCAPs are generated](https://docs.vectra.ai/reference/how-detection-pcaps-are-generated.md): This article discusses how Detection PCAPs are created as part of Detect for NDR. Selective PCAP is a different feature. - [In-App support](https://docs.vectra.ai/reference/in-app-support.md): Enable and manage in-app support, including telemetry fields and outbound endpoints. - [Metadata attributes](https://docs.vectra.ai/reference/metadata-attributes.md): Reference PDFs for Vectra network and cloud metadata fields. - [Vectra AI Platform network metadata attributes](https://docs.vectra.ai/reference/metadata-attributes/vectra-ai-platform-network-metadata-attributes.md): The attached PDF document describes the Vectra AI Platform Network metadata. - [Vectra AI Platform Azure metadata attributes](https://docs.vectra.ai/reference/metadata-attributes/vectra-ai-platform-azure-metadata-attributes.md): The attached pdf document describes the Vectra AI Platform Azure metadata; this metadata is available in Vectra\'s Respond UX (RUX) platform and visible in Investigate. - [Vectra AI Platform AWS CloudTrail metadata attributes](https://docs.vectra.ai/reference/metadata-attributes/vectra-ai-platform-aws-cloudtrail-metadata-attributes.md): The attached pdf document describes the Vectra AI Platform AWS CloudTrail metadata; this metadata is available in Vectra\'s Respond UX (RUX) platform and visible in Investigate. - [Vectra AI Platform Azure AD and M365 metadata attributes](https://docs.vectra.ai/reference/metadata-attributes/vectra-ai-platform-azure-ad-and-m365-metadata-attributes.md): The attached pdf document describes the Vectra AI Platform Azure AD and M365 metadata; this metadata is available in Vectra\'s Respond UX (RUX) and visible in Advanced Investigations. - [Product Security](https://docs.vectra.ai/reference/product-security.md): Product security statements and hardening guidance. - [Vectra stance on LPE (Local Privilege Escalation) appliance vulnerabilities](https://docs.vectra.ai/reference/product-security/vectra-stance-on-lpe-local-privilege-escalation-appliance-vulnerabilities.md): This article describes Vectra's stance on Local Privilege Escalation (LPE) appliance vulnerabilities. - [Vectra statement on Ubuntu 20.04 LTS reaching EOL](https://docs.vectra.ai/reference/product-security/vectra-statement-on-ubuntu-2004-lts-reaching-eol.md): This article provides details for customers who are concerned about the End of Support for Ubuntu 20.04 LTS used as the base OS in Vectra appliances.a - [Detect for AWS compliance brief](https://docs.vectra.ai/reference/product-security/detect-for-aws-compliance-brief.md): This document describes the steps Vectra takes to secure your data. - [Recall security and privacy statement](https://docs.vectra.ai/reference/product-security/recall-security-and-privacy-statement.md): Recall security and privacy statement (PDF). - [Vectra hardening (appliances)](https://docs.vectra.ai/reference/product-security/vectra-hardening-appliances.md): How Vectra hardens appliances, including patching, encryption, and vulnerability management. - [RSPAN and ERSPAN support](https://docs.vectra.ai/reference/rspan-and-erspan-support.md): RSPAN and ERSPAN compatibility for Vectra Sensors, including VLAN tag limits. - [Host ID best practices and functionality](https://docs.vectra.ai/reference/understanding-vectra-host-naming.md): This article helps in understanding Vectra host naming. Host ID is the automated process that performs the naming. Best practices are provided for configuration and traffic engineering. - [Vectra's coverage of MITRE ATT\&CK and D3FEND](https://docs.vectra.ai/reference/vectra-coverage-of-mitre-attandck-and-d3fend.md): See how Vectra maps detections to MITRE ATT\&CK v18 and supports MITRE D3FEND countermeasures, with navigator layers and export files. - [Vectra UI supported browsers](https://docs.vectra.ai/reference/vectra-ui-supported-browsers.md): Supported browsers and version support policy for the Vectra UI. - [Why is metadata sharing important](https://docs.vectra.ai/reference/why-is-metadata-sharing-important.md): How metadata sharing works, what data is shared, and why it matters. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.vectra.ai/reference.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.