実践におけるメディア真正性手法：能力、限界、方向性

*Insights from Microsoft’s Media Integrity and Authentication: Status, Directions, and Futures report*

It has become increasingly difficult to distinguish fact from fiction when viewing online images and videos. Resilient, trustworthy technologies can help people determine whether the content they are viewing was captured by a camera or microphone—or generated or modified by AI tools.

We refer to technologies aimed at helping viewers verify the source and history—that is, the provenance—of digital content as *media integrity and authentication* (MIA) methods. This technique, driven by the Coalition for Content Provenance and Authenticity (opens in new tab) (C2PA), a standards body dedicated to scaling these capabilities, as well as complementary methods such as watermarks and fingerprinting, have become critically important with the rapid advance of AI systems capable of creating, realistic imagery, video, and audio at scale.

A convergence of forces

Our team recognized an inflection point in the evolution of online content integrity, driven by the convergence of four forces:

• Growing saturation of synthetic media, driven by proliferation of high-fidelity content-generation tools and the explosion of AI generated or modified media online

• Forthcoming legislation both nationally and internationally seeking to define what “verifiable” provenance should mean in practice

• Mounting pressure on implementers to ensure authentication signals are clear and helpful, especially as signals increase when legislation goes into effect in 2026

• Heightened awareness of potential adversarial attacks that attempt to exploit weaknesses in authenticity systems

The usefulness and trustworthiness of provenance signals, whether certifying content as synthetic or as an authentic capture of real-world scenes, will depend not only on advances in technology, but also on how the broader digital ecosystem adopts, implements, and governs these tools. Aligning around implementation choices that promote consistency and clarity is essential to ensure transparency signals strengthen, rather than erode, public confidence.

To address these challenges, we launched a comprehensive evaluation of the real-world limits, edge cases, and emerging “attack surfaces” for MIA methods. Today, we are publishing our findings in the Media Integrity & Authentication: Status, Directions & Futures report. The report distills lessons learned and outlines practical directions for strengthening media integrity in the years ahead.

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Findings and directions forward

Our research recognizes that different media integrity and authenticity methods serve differing purposes and offer distinct levels of protection. After defining each method in detail, we focused on secure provenance (C2PA), imperceptible watermarking, and soft hash fingerprinting across images, audio, and video.

Grounded in our evaluation of these MIA methods across modalities, attack categories, and real-world workflows, several new findings emerged including two new concepts:

• High-Confidence Provenance Authentication: a critical capability for verifying, under defined conditions, whether claims about the origin of and modifications made to an asset can be validated with high certainty.

• Sociotechnical Provenance Attacks: attacks aimed at deception and capable of inverting signals, making authentic content appear synthetic, and synthetic content appear authentic.

Drawing on our findings, we identified four promising directions for further strengthening media authentication, along with suggestions to support more effective implementation strategies and future decisions. We’ve summarized the findings and directions below, with additional detail available in the report.

The journey continues

This report marks the beginning of a new chapter in our media provenance journey (opens in new tab), building on years of foundational work, from developing the very first prototype in 2019 to co-founding the C2PA in 2021 and helping catalyze an ecosystem that has since grown to more than 6,000 members and affiliates (opens in new tab) supporting C2PA Content Credentials. This research represents the next evolution of that long‑standing commitment.

We hope that by sharing our learnings will help others prepare for an important wave, especially as generative technologies accelerate and provenance signals multiply. This work is already underway across our products at Microsoft. Together, these directions highlight opportunities for the ecosystem to align, harden, and innovate, so authentication signals are not merely visible, but robust, meaningful, and resilient throughout the content lifecycle.