Why deepfake safety is no longer just about spotting visual clues — and why verification, prevention, reporting and resilience matter more.
Latest Insights & Resources
Why prompts, files and connected accounts create their own risks — and how to decide what is safe to share.
Why workflow design, verification cost and genuine human oversight determine whether AI is useful or risky.
Why realistic voices, images and video are no longer sufficient proof — and why independent verification matters.
Why confident AI answers can still be wrong, what calibration means, and how to make uncertainty part of your workflow.
Why AI can sound convincing while still getting specific facts wrong — and how to verify what matters.
Provenance and AI detection answer different questions. Learn how C2PA, watermarking and forensic detectors complement each other when verifying digital media.
AI watermarks such as SynthID can provide durable provenance signals inside generated media. Learn what they can detect, what they cannot prove, and why they work best alongside C2PA and verification.
A practical workflow for checking whether an online video is trustworthy using source verification, key-frame search, context, provenance, audio checks and detector results.
AI and deepfake detectors can be useful, but their scores are not proof. Learn why false positives, compression, unseen generators and context matter when interpreting detector results.
What C2PA and Content Credentials actually tell you about the origin and editing history of digital media — and the important things they do not prove.
A practical guide to checking whether an online image is trustworthy using source checks, reverse search, context, provenance, Content Credentials and forensic clues.