AI Usage at a Glance
Timeline
Aug 1, 2023
Data AnalysisPractice documented: MITRE'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.
Practice DocumentedView practice →Aug 24, 2023
Data AnalysisNew evidence: Threat Report ATT&CK Mapper (TRAM) | Center for Threat-Informed Defense
Evidence AddedView practice →Jan 1, 2024
OtherPractice documented: 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.
Practice DocumentedView practice →Mar 1, 2024
OtherPractice documented: MITRE 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.
Practice DocumentedView practice →Mar 25, 2024
OtherNew evidence: MITRE Opens New AI Assurance and Discovery Lab
Evidence AddedView practice →Mar 26, 2024
OtherNew evidence: MITRE launches lab to test federal government AI risks
Evidence AddedView practice →May 7, 2024
OtherPractice documented: MITRE deployed the Federal AI Sandbox, a supercomputer powered by an NVIDIA DGX SuperPOD, to train and evaluate large-scale AI foundation models for U.S. federal agency missions. The Sandbox, located in Ashburn, Virginia, became operational in late 2024 and is accessible to federal agencies through existing FFRDC contracts.
Practice DocumentedView practice →Jun 20, 2024
Data AnalysisNew evidence: Our TRAM Large Language Model Automates TTP Identification in CTI Reports
Evidence AddedView practice →Oct 1, 2024
OtherNew evidence: MITRE's Federal AI Sandbox Unleashes AI's Potential for Public Good
Evidence AddedView practice →Oct 2, 2024
OtherNew evidence: MITRE Launches AI Incident Sharing Initiative
Evidence AddedView practice →Oct 9, 2024
OtherNew evidence: MITRE Federal AI Sandbox to Train AI Models for Weather Prediction, Cybersecurity, Benefits Processing
Evidence AddedView practice →Apr 28, 2025
ProductivityPractice documented: MITRE deployed an internal generative AI tool called MITREChatGPT — built on OpenAI's GPT-4 — for use by its approximately 10,000 employees starting in May 2023. The tool helps staff research, write reports, generate code, and analyze large policy and legislative documents significantly faster than before.
Practice DocumentedView practice →Dec 22, 2025
OtherPractice documented: MITRE 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.
Practice DocumentedView practice →Recent activity
MITRE 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.
The lab features configurable physical space accommodating up to 50 people in person and 4,000 via remote connections, tailored for specific mission scenarios. It offers capabilities including AI red teaming, large language model evaluation, human-in-the-loop experimentation, and assurance plan development. Federal agencies can bring their AI-enabled systems to the lab to assess whether systems perform effectively, consistently, and safely, and to test for harmful bias and security vulnerabilities. MITRE uses a proprietary AI Assurance Process consistent with existing engineering standards for risk assessment. The lab is intended for consequential applications including national security, healthcare, and transportation.
MITRE 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.
The AI Economic Security Center for U.S. Manufacturing Productivity focuses on strengthening U.S. manufacturing through AI-driven efficiency and quality improvements. The AI Economic Security Center to Secure U.S. Critical Infrastructure from Cyberthreats focuses on developing and adopting AI-driven tools and agents to protect critical infrastructure. Both centers will partner with NIST experts, industry, and academia, and will leverage MITRE's AI Lab, Federal AI Sandbox, and publicly available tools including ATLAS, CALDERA, and ATT&CK frameworks.
MITRE'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.
TRAM takes prose-based cyber threat intelligence (CTI) reports as input and outputs classifications mapping sentences or phrases to specific MITRE ATT&CK techniques. The latest version uses fine-tuned large language models to improve speed and accuracy of technique identification. The platform works out of the box to identify up to 50 common ATT&CK techniques and supports analyst validation of results. TRAM was developed in collaboration with industry partners including CrowdStrike, JPMorgan Chase, and HCA. The tool is freely available on GitHub and is actively maintained.
All practices by category
MITRE 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.
MITRE 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.
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.
MITRE deployed the Federal AI Sandbox, a supercomputer powered by an NVIDIA DGX SuperPOD, to train and evaluate large-scale AI foundation models for U.S. federal agency missions. The Sandbox, located in Ashburn, Virginia, became operational in late 2024 and is accessible to federal agencies through existing FFRDC contracts.
Cite this record
Trace Foundation. (2026). MITRE: documented AI practices (data as of 2026-07-07) [Data set record]. AI Trace. https://www.aitrace.org/r/company/0a96d7a3-278a-4abb-a503-c2289ac6a763. Accessed October 4, 2026.
- Stable link
- https://www.aitrace.org/r/company/0a96d7a3-278a-4abb-a503-c2289ac6a763
- Data as of
- July 7, 2026
- Last verified
- Not recorded
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