OtherVerified
Reviewed and published by trentmaziarz, July 7, 2026. Discovered and drafted by our automated research pipeline.
MITRE offers ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems), a publicly available knowledge base launched in June 2021 that catalogs the tactics and techniques adversaries use to attack AI and machine learning systems. It is freely accessible to security teams worldwide and is continuously updated.
Details
ATLAS is modeled on the structure of MITRE's ATT&CK framework but covers attack surfaces specific to AI, including data poisoning, prompt injection, model extraction, and adversarial examples. As of November 2025 (version 5.1.0), the framework contains 16 tactics, 84 techniques, 56 sub-techniques, 32 mitigations, and 42 real-world case studies. The framework is built in collaboration with academic researchers, industry partners, and government agencies, and includes free companion tools such as ATLAS Navigator. In October 2024, MITRE's Center for Threat-Informed Defense launched an associated AI Incident Sharing initiative at ai-incidents.mitre.org.
Products affected
MITRE ATLASATLAS NavigatorAI Incident Sharing initiative
Sources & Evidence
Company Disclosure
Cite this record
Trace Foundation. (2026). MITRE: MITRE offers ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems), a publicly available knowledge base launched in June 2021 that catalogs the tactics and techniques adversaries use to attack AI and machine learning systems. It is freely accessible to security teams worldwide and is continuously updated (data as of 2026-07-07) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/cac777fd-fdbb-4409-b986-1c3c25efd20b. Accessed October 6, 2026.
- Stable link
- https://www.aitrace.org/r/practice/cac777fd-fdbb-4409-b986-1c3c25efd20b
- Data as of
- July 7, 2026
- Last verified
- Not recorded
Other practices by MITRE
OtherMITRE deployed its AI Assurance and Discovery Lab in March 2024 at its McLean, Virginia headquarters to evaluate risks in AI-enabled systems for federal agencies and private companies. The lab uses simulated environments, AI red teaming, and large language model evaluation to identify security, bias, and performance risks before agencies adopt AI systems.OtherMITRE announced in December 2025 that it will operate two new AI Economic Security Centers on behalf of NIST, funded by a $20 million NIST investment, focused on applying AI to U.S. manufacturing productivity and securing critical infrastructure from cyberthreats. Both centers will leverage MITRE's Federal AI Sandbox and existing tools.Data AnalysisMITRE's Center for Threat-Informed Defense offers TRAM (Threat Report ATT&CK Mapper), an open-source tool that uses machine learning and large language models to automatically identify and classify adversary tactics and techniques in cybersecurity threat intelligence reports. The tool assists security analysts who previously had to map reports manually.
Have evidence about MITRE's AI practices? Submit a report.
Report a Sighting →