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Frontier Model Forum - Technical Report: Frontier Mitigations

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Credibility Rating

3/5
Good(3)

Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.

Rating inherited from publication venue: Frontier Model Forum

Published by the Frontier Model Forum, an industry body comprising major AI labs; this report is relevant for understanding the current state of industry-agreed safety mitigations and how leading developers approach risk reduction for frontier models.

Metadata

Importance: 62/100organizational reportreference

Summary

This technical report from the Frontier Model Forum examines mitigation strategies for risks posed by frontier AI models, covering approaches that leading AI developers use to reduce potential harms. It provides an industry-consensus framework for understanding and implementing safety measures across the development and deployment lifecycle of frontier models.

Key Points

  • Documents mitigation strategies employed by major frontier AI developers to address safety and misuse risks
  • Covers a range of technical and procedural interventions applicable across the model development pipeline
  • Represents a collaborative industry effort by FMF members (Anthropic, Google, Microsoft, OpenAI) to standardize safety practices
  • Serves as a reference for policymakers and researchers seeking to understand state-of-practice risk mitigations
  • Bridges technical safety measures with governance frameworks for responsible frontier model deployment

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[![Frontier Model Forum](https://www.frontiermodelforum.org/uploads/2023/12/FMF-Logo-Dark.svg)](https://www.frontiermodelforum.org/)

## **TECHNICAL REPORT**

## Frontier Mitigations

Posted on:

30th June 2025

**REPORT SERIES**

[Implementing Frontier AI Frameworks](https://www.frontiermodelforum.org/updates/introducing-the-fmfs-technical-report-series-on-frontier-ai-safety-frameworks/)

**TABLE OF CONTENTS**

[Executive Summary](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#executive-summary)

1. [Overview of Frontier Mitigations](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#overview)
2. [Capability Limitation Mitigations](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#capability-limitation-mitigations)
3. [Behavioral Alignment Mitigations](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#behavioral-alignment-mitigations)
4. [Detection and Intervention Mitigations](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#detection-and-intervention-mitigations)
5. [Access Control Mitigations](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#access-control-mitigations)
6. [Supporting Ecosystem Mitigations](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#supporting-ecosystem-mitigations)
7. [Effectiveness Assessments for Frontier Mitigations](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#effectiveness-assessments)
8. [Continuing Work](https://www.frontiermodelforum.org/technical-reports/frontier-mitigations/#continuing-work)

**DOWNLOAD**

[REPORT PDF](https://www.frontiermodelforum.org/uploads/2025/06/FMF-Technical-Report-on-Mitigations.pdf)

## **Executive Summary**

**Frontier mitigations** are protective measures implemented on frontier models, with the goal of reducing the risk of potential high-severity harms, especially those related to national security and public safety, that could arise from their advanced capabilities.

This report discusses emerging industry practices for implementing and assessing frontier mitigations. It focuses on mitigations for managing risks in three primary domains: chemical, biological, radiological and nuclear (CBRN) information threats, where AI could be misused to lower barriers to developing weapons of mass destruction; advanced cyber threats, where AI could be misused to enable sophisticated attacks against critical infrastructure; and advanced autonomous behavior threats, including AI systems that could recursively self-improve or conduct autonomous AI research and development (R&D).

Given the nascent state of frontier mitigations, this report describes the range of controls and mitigation strategies being employed or researched by Frontier Model Forum (FMF) members and documents the known limitations of these approaches. The report focuses on model- and system-level mitigations, and therefore 

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