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MITRE ATT&CK® Technique

T1588.007: Artificial Intelligence

Adversaries may obtain access to generative artificial intelligence (AI) tools, such as large language models (LLMs), to aid various techniques during targeting. These tools may be used to inform, bolster, and enable a variety of malicious tasks, including creating scripts, assisting social engineering, developing payloads, and to Query Public AI Services in support of Reconnaissance.[1]

For example, by utilizing a publicly available LLM an adversary is essentially outsourcing or automating certain tasks to the tool. Using AI, the adversary may draft and Generate Content in a variety of written languages to be used in Phishing/Phishing for Information campaigns. The same publicly available tool may further enable vulnerability or other offensive research supporting Develop Capabilities. AI tools may also automate technical tasks by generating, refining, or otherwise enhancing (e.g., Obfuscated Files or Information) malicious scripts and payloads.[2] Finally, AI-generated text, images, audio, and video may be used for fraud, Impersonation, and other malicious activities.[3][4][5]

EnterpriseT1588.007Sub-techniqueObject v1.2Modified
Glexia's Take · Automated analysis

Security context for executives and security teams

Automation confidenceMedium

T1588.007: Artificial Intelligence describes Adversaries may obtain access to generative artificial intelligence (AI) tools, such as large language models (LLMs), to aid various techniques during targeting. These tools may be used to inform, bolster, and enable a variety of malicious tasks, including creating scripts, assisting social engineering, developing payloads, and to [Query Public AI Services](https://attack.mitre.org/techniques/T1682) in support of [Reconnaissance](https://attack.mitre.org/tactics/TA0043).(Citation: MSFT-AI) For example, by utilizing...

Executive priority

T1588.007: Artificial Intelligence is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.

Technical view

Security teams should validate T1588.007: Artificial Intelligence by reviewing the official ATT&CK relationships, mapped tactics (resource-development), supported platforms (PRE), and available local telemetry before making detection or mitigation decisions.

Likely telemetry

  • Official ATT&CK relationships and object metadata

Detection direction

  • Validate whether T1588.007: Artificial Intelligence appears in your detection coverage and tabletop scenarios.
  • Use the object to align executive risk language with SOC, incident response, and detection engineering work.
  • Do not treat ATT&CK relationship context as attribution without corroborating evidence.

Mitigation priorities

  • Map the object to existing controls and identify missing telemetry or response ownership.
  • Prioritize mitigations that reduce exposure on the listed platforms and tactics.
  • Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits

Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.

This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Official MITRE ATT&CK definition

Artificial Intelligence

Adversaries may obtain access to generative artificial intelligence (AI) tools, such as large language models (LLMs), to aid various techniques during targeting. These tools may be used to inform, bolster, and enable a variety of malicious tasks, including creating scripts, assisting social engineering, developing payloads, and to Query Public AI Services in support of Reconnaissance.[1]

For example, by utilizing a publicly available LLM an adversary is essentially outsourcing or automating certain tasks to the tool. Using AI, the adversary may draft and Generate Content in a variety of written languages to be used in Phishing/Phishing for Information campaigns. The same publicly available tool may further enable vulnerability or other offensive research supporting Develop Capabilities. AI tools may also automate technical tasks by generating, refining, or otherwise enhancing (e.g., Obfuscated Files or Information) malicious scripts and payloads.[2] Finally, AI-generated text, images, audio, and video may be used for fraud, Impersonation, and other malicious activities.[3][4][5]

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

How security teams should use this page

Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.

ATT&CK relationship table

Related techniques

This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.

1 rows
DomainIDNameRelationship / procedure
EnterpriseT1588Obtain CapabilitiesThis object subtechnique of Obtain Capabilities.
Associated objects

Groups, software, and campaigns

GroupEnterprise

G1059: NIMBUS MANTICORE

NIMBUS MANTICORE is a State Sponsored cyber espionage group associated with the Iranian Regime specifically the Iranian Revolutionary Guard Corps (IRGC). NIMBUS MANTICORE has employed social engineering attacks to include HR related themes and has leveraged custom malware against its victims. NIMBUS MANTICORE has sought sensitive information in victims’ environments to include network/IT documentation, intellectual property and emails. NIMBUS MANTICORE has also leveraged compromised organizations as pivot points to access other organizations of interest. NIMBUS MANTICORE has been active since 2021 and has targeted critical infrastructure organizations to include aviation, aerospace, telecommunications and defense and information technology related organizations within the United States, Australia, Midde East and Europe.[1][2][3][4]

GroupEnterprise

G1057: ShinyHunters

ShinyHunters is a cyber criminal collective that has been active since at least 2019 operating under the ShinyCorp persona. ShinyHunters has targeted multiple industries and geographic regions gathering legitimate credentials and personally identifiable information (PII) for resale or extortion of victims. ShinyHunters has been associated with the broader collective called The Community, also known as The Com whose members have also included Scattered Spider and LAPSUS$. Public reporting has mentioned a variety of names for operations ShinyHunters members have reportedly conducted with members of other groups, including “Scattered Lapsus Hunters,” “Scattered Lapsus Shiny Hunters,” and “SLSH.”[1][2][3][4][5][6][7][8]

GroupEnterprise

G0007: APT28

APT28 is a threat group that has been attributed to Russia's General Staff Main Intelligence Directorate (GRU) 85th Main Special Service Center (GTsSS) military unit 26165.[1][2] This group has been active since at least 2004.[3][4][5][6][7][8][9][10][11][12][13]

APT28 reportedly compromised the Hillary Clinton campaign, the Democratic National Committee, and the Democratic Congressional Campaign Committee in 2016 in an attempt to interfere with the U.S. presidential election.[5] In 2018, the US indicted five GRU Unit 26165 officers associated with APT28 for cyber operations (including close-access operations) conducted between 2014 and 2018 against the World Anti-Doping Agency (WADA), the US Anti-Doping Agency, a US nuclear facility, the Organization for the Prohibition of Chemical Weapons (OPCW), the Spiez Swiss Chemicals Laboratory, and other organizations.[14] Some of these were conducted with the assistance of GRU Unit 74455, which is also referred to as Sandworm Team.

MalwareEnterprise

S9039: LazyWiper

LazyWiper is a destructive malware observed targeting a manufacturing sector company during the 2025 Poland Wiper Attacks. LazyWiper is a native Windows PowerShell script that is believed to have been generated by a large language model (LLM). LazyWiper overwrites files on the system using the C# function `WriteRandomBytes()` and can target multiple specific file types by their extensions.[1]

Windows
CampaignEnterprise

C0062: Anthropic AI-orchestrated Campaign

The Anthropic AI-orchestrated Campaign was conducted in September 2025 by a likely China nexus espionage actor identified as GTG-1002. The Anthropic AI-orchestrated Campaign was a highly coordinated operation that manipulated Claude Code to perform reconnaissance, vulnerability discovery, exploitation, lateral movement, credential harvesting, data analysis, and exfiltration operations at approximately 30 entities in the technology, financial, chemical, and government sectors. During the Anthropic AI-orchestrated Campaign, human operators used Claude Code agents and Model Context Protocol (MCP) tools to automate cyber operations. Operators broke attacks into discrete tasks, used crafted prompts, and established personas to bypass AI guardrails, enabling the agents to execute the operations with minimal human involvement.[1][2]

CampaignEnterprise

C0064: AI-Assisted Breach of Mexico's Government Infrastructure

The AI-Assisted Breach of Mexico's Government Infrastructure is a campaign where human operators used Claude Code AI and OpenAI GPT GPT-4.1 AI to perform reconnaissance, vulnerability exploitation, privilege escalation, discovery, credential harvesting, and exfiltration operations. The attack impacted several Mexican government institutions including the Federal Tax Authority (Servicio de Administracion Tributaria), Mexico State Government (Estado de Mexico), Mexico City Civil Registry (Registro Civil de CDMX), Jalisco State Government, National Electoral Institute (Instituto Nacional Electoral), Michoacan State Government, SADM Monterrey Municipal Water Utility (Agua y Drenaje), Tamaulipas State Government, and the Mexico City Health Department (Salud CDMX). The attack resulted in the theft of large amounts of sensitive government data and civilian records. Please note that due to the breadth of this campaign, public reporting only provides select details and as a result this campaign should not be considered comprehensive.[1]

CampaignEnterprise

C0063: 2025 Poland Wiper Attacks

2025 Poland Wiper Attacks is a Russian state-sponsored campaign that conducted destructive cyberattacks against Polish energy infrastructure in December 2025. Targets included more than 30 wind and photovoltaic farms, a combined heat and power (CHP) plant, and a manufacturing sector company. The attacks on the distributed energy resources (DER) disrupted communications between affected facilities and the distribution system operator, but did not impact electricity generation or heat supply. Across the campaign, threat actors deployed two previously undocumented wiper tools, DynoWiper, a Windows-based wiper and LazyWiper, a PowerShell wiper, distributed via malicious Group Policy Objects. At the CHP plant, threat actors had maintained access since at least March 2025, using that foothold to obtain credentials and move laterally before attempting wiper deployment. Some reporting has assessed the activity to be consistent with Russian Federal Security Service (FSB) threat activity group Dragonfly, also tracked as STATIC TUNDRA, while other reporting attributes the destructive wiper activities to the Russian General Staff Main Intelligence Directorate (GRU) threat activity group ELECTRUM, also tracked as Sandworm Team.[1][2][3][4]

Relationship explorer

All related ATT&CK context

Mitigations

Mitigation direction

Change history

Object version and sync metadata

The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.

ATT&CK release
20.0
Object version
1.2
Created
Modified
Raw hash
228fe18a0c3dd869...
Imported snapshots across ATT&CK releases(3)
ReleaseBundle importedObject versionModifiedStatusRaw hash
20.01.2Current bundle228fe18a0c3d…
19.21.1Older bundle10ae5322fd40…
19.11.1Older bundle10ae5322fd40…
Raw source

Mirrored ATT&CK source object

The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    MSFT-AI

    Microsoft Threat Intelligence. (2024, February 14). Staying ahead of threat actors in the age of AI. Retrieved March 11, 2024.

    Open source URL
  2. [2]
    OpenAI-CTI

    OpenAI. (2024, February 14). Disrupting malicious uses of AI by state-affiliated threat actors. Retrieved September 12, 2024.

    Open source URL
  3. [3]
    Google-Vishing24

    Emily Astranova, Pascal Issa. (2024, July 23). Whose Voice Is It Anyway? AI-Powered Voice Spoofing for Next-Gen Vishing Attacks. Retrieved March 18, 2025.

    Open source URL
  4. [4]
    IC3-AI24

    IC3. (2024, December 3). Criminals Use Generative Artificial Intelligence to Facilitate Financial Fraud. Retrieved March 18, 2025.

    Open source URL
  5. [5]
    WSJ-Vishing-AI24

    Catherine Stupp. (2019, August 30). Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case. Retrieved March 18, 2025.

    Open source URL
  6. [6]
    mitre-attackT1588.007
    Open source URL
Source and licensing

Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.