T1700: AI-Enabled Exfiltration
Adversaries may utilize Direct Prompt Injection, Indirect Prompt Injection or other methods to instruct enterprise AI agents to exfiltrate data.[1][2] When enterprise systems incorporate the use of AI assistants or other AI agents, adversaries may abuse these systems to weaponize sanctioned tools available to the agent.[3]
As an AI agent processes queries or ingests data, an injected prompt can cause the agent to use its tool connections in unauthorized or unintended ways. When AI agents are induced to exfiltrate data, other exfiltration techniques likely apply as well to transfer the information out of the network, such as Exfiltration to Code Repository or Exfiltration Over Web Service.[4][5]
Security context for executives and security teams
T1700: AI-Enabled Exfiltration describes Adversaries may utilize [Direct Prompt Injection](https://attack.mitre.org/techniques/T1699), [Indirect Prompt Injection](https://attack.mitre.org/techniques/T1698) or other methods to instruct enterprise AI agents to exfiltrate data.(Citation: Prompt-Injection Exfil)(Citation: Anthropic Report Sep 2026) When enterprise systems incorporate the use of AI assistants or other AI agents, adversaries may abuse these systems to weaponize sanctioned tools available to the agent.(Citation: Google Security State of Prompt I...
Executive priority
T1700: AI-Enabled Exfiltration 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 T1700: AI-Enabled Exfiltration by reviewing the official ATT&CK relationships, mapped tactics (exfiltration), supported platforms (Windows, SaaS), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Network, endpoint, and security-tool telemetry
Detection direction
- Validate whether T1700: AI-Enabled Exfiltration 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.
AI-Enabled Exfiltration
Adversaries may utilize Direct Prompt Injection, Indirect Prompt Injection or other methods to instruct enterprise AI agents to exfiltrate data.[1][2] When enterprise systems incorporate the use of AI assistants or other AI agents, adversaries may abuse these systems to weaponize sanctioned tools available to the agent.[3]
As an AI agent processes queries or ingests data, an injected prompt can cause the agent to use its tool connections in unauthorized or unintended ways. When AI agents are induced to exfiltrate data, other exfiltration techniques likely apply as well to transfer the information out of the network, such as Exfiltration to Code Repository or Exfiltration Over Web Service.[4][5]
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.
All related ATT&CK context
Mitigation direction
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.
Imported snapshots across ATT&CK releases(1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 20.0 | 1.0 | Current bundle | c66b51eacb24… |
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.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]Prompt-Injection Exfil
Md Habibur Rahman and Jaeho Kim. (2026, August 27). The Framing Gap: Indirect Prompt-Injection Exfiltration Defeats Surface-Level Defenses in Tool-Using Agents. Retrieved September 21, 2026.
Open source URL - [2]Anthropic Report Sep 2026
Anthropic Threat Intelligence Team. (2026, September 10). Detecting and countering misuse of AI: September 2026. Retrieved September 21, 2026.
Open source URL - [3]Google Security State of Prompt Injections
Thomas Brunner, Yu-Han Liu, and Moni Pande. (2026, April 23). AI threats in the wild: The current state of prompt injections on the web. Retrieved September 21, 2026.
Open source URL - [4]Google Cloud AI Risk Sep 2026
Google Cloud Security. (2026, September). AI risk and resilience | A Mandiant special report. Retrieved September 21, 2026.
Open source URL - [5]Barracuda Prompt Injection Phishing Emails
Guruprasad Kenja. (2026, October 6). Threat Spotlight: Email attacks target both humans and AI in the same message. Retrieved October 8, 2026.
Open source URL - [6]mitre-attackT1700Open source URL
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.
