Query: SIEM correlation: reconnaissance activity consistent with Query Public AI Services
Matching passage: T1682 Query Public AI Services. Tactics: reconnaissance. Description: Adversaries may query publicly accessible artificial intelligence (AI) services, such as large language models (LLMs), to support targeting and operations. In addition to searching websites or databases directly (i.e., [Search Open Websites/Domains](https://attack.mitre.org/techniques/T1593)), adversaries may use AI services to synthesize, aggregate, and analyze publicly available information at scale. This may include identifying individuals or organizations to target, researching organizational structures and personnel, identifying technologies used by target organizations, researching business relationships to develop plausible pretexts for [Social Engineering](https://attack.mitre.org/techniques/T1684) approaches, identifying contact information for use in [Phishing](https://attack.mitre.org/techniques/T1566) or [Phishing for Information](https://attack.mitre.org/techniques/T1598), or gathering derogatory or sensitive information about individuals that may be used for extortion or coercion.(Citation: MSFT-AI)(Citation: GTIG AI Threat Tracker) Information gathered through AI services may be leveraged for other behaviors, such as establishing operational resources (i.e., [Generate Content](https://attack.mitre.org/techniques/T1683) or [Establish Accounts](https://attack.mitre.org/techniques/T1585). For obtaining access to AI tools and services, see [Artificial Intelligence](https://attack.mitre.org/techniques/T1588/007).
Near-miss passage: T1590.001 Domain Properties. Tactics: reconnaissance. Description: Adversaries may gather information about the victim's network domain(s) that can be used during targeting. Information about domains and their properties may include a variety of details, including what domain(s) the victim owns as well as administrative data (ex: name, registrar, etc.) and more directly actionable information such as contacts (email addresses and phone numbers), business addresses, and name servers. Adversaries may gather this information in various ways, such as direct collection actions via [Active Scanning](https://attack.mitre.org/techniques/T1595) or [Phishing for Information](https://attack.mitre.org/techniques/T1598). Information about victim domains and their properties may also be exposed to adversaries via online or other accessible data sets (ex: [WHOIS](https://attack.mitre.org/techniques/T1596/002)).(Citation: WHOIS)(Citation: DNS Dumpster)(Citation: Circl Passive DNS) Where third-party cloud providers are in use, this information may also be exposed through publicly available API endpoints, such as GetUserRealm and autodiscover in Office 365 environments.(Citation: Azure Active Directory Reconnaisance)(Citation: Office 265 Azure Domain Availability) Gathering this information may reveal opportunities for other forms of reconnaissance (ex: [Search Open Technical Databases](https://attack.mitre.org/techniques/T1596), [Search Open Websites/Domains](https://attack.mitre.org/techniques/T1593), or [Phishing for Information](https://attack.mitre.org/techniques/T1598)), establishing operational resources (ex: [Acquire Infrastructure](https://attack.mitre.org/techniques/T1583) or [Compromise Infrastructure](https://attack.mitre.org/techniques/T1584)), and/or initial access (ex: [Phishing](https://attack.mitre.org/techniques/T1566)).