TRST helps people read media evidence responsibly.

TRST is an MVP for evidence-based digital media interpretation. It analyzes submitted images and produces Investigation Briefs that explain what the available evidence supports, what it does not support, and what cannot be determined from the file alone.

TRST is built around the DAI Methodology™, a media-agnostic framework for reducing uncertainty across signals such as provenance, origin metadata, processing history, synthetic-generation indicators, material modification evidence, known online history, reference comparison, and claim context.

TRST was created to sit above individual detectors and provenance tools. Its goal is to organize evidence into a clear, responsible assessment that humans can understand and challenge.

Gerardo created TRST because misinformation is not only a content problem; it is a trust problem. Fake, altered, reused, cropped, generated, and decontextualized media can shape what people believe before anyone has time to ask what the file actually supports.

His view is that digital media should not be forced into a simple real-or-fake answer. A responsible assessment has to look at context, file history, metadata, forensic signals, AI indicators, online history, and the limits of what can be known. That led him to define Digital Authenticity Intelligence: a practical discipline for reducing uncertainty around media so people can make better-informed decisions.

Gerardo Garcia-Jurado is an award-winning creative director with extensive experience in marketing and branding, as well as a longtime technology enthusiast and AI early adopter. TRST.center is the first app built around the DAI Methodology™: an evidence interpretation system for assessing what available media evidence supports.

TRST is an early-stage project by EEMAGEEN LLC.