Reality Inc. Launches Trustable AI to Combat AI-Powered Fraud and Verify Digital Authenticity
Reality Inc. has introduced Trustable AI, an artificial intelligence trust engine designed to help businesses verify the authenticity of digital documents, photographs, voices, videos, and AI agents. The platform aims to address the growing threat of AI-powered fraud by identifying fabricated or manipulated content and attaching a digitally signed authenticity record that can be accessed by subsequent recipients.
As generative AI becomes increasingly sophisticated, fraudulent content is becoming easier to produce and more difficult to detect. Trustable AI seeks to address this challenge by helping organizations establish greater confidence in the information, identities, and digital interactions they rely on to make business decisions.
The platform is designed to examine a wide range of digital materials, including documents submitted with applications, photographs used as supporting evidence, voices heard during telephone calls, faces appearing in video meetings, and AI agents acting on behalf of other organizations. By identifying potential manipulation and recording its findings, Trustable AI aims to help businesses make more informed decisions about the authenticity of the information they receive.
Addressing the Growing Threat of AI-Powered Fraud
Artificial intelligence has created new opportunities for innovation and productivity, but it has also introduced significant challenges for fraud prevention. Criminals can use AI tools to alter financial documents, generate realistic images, clone voices, and create convincing synthetic identities with relatively little effort.
According to figures cited by Reality Inc., the FBI linked more than $893 million in reported losses during 2025 to AI-assisted crime. Deloitte has also estimated that losses from generative AI-enabled fraud in the United States could reach $40 billion by 2027. The company further cited a survey published in October 2026 in which nearly one in five borrowers admitted to altering loan documents using AI.
Reality These developments highlight the difficulties faced by organizations that depend on digital evidence to assess applications, authorize transactions, and evaluate claims.
Financial institutions, including banks, lenders, and credit unions, are particularly exposed to manipulated documentation submitted during underwriting. Insurance companies may encounter AI-altered photographs used to support claims, while corporate finance teams could face impersonation attempts involving deepfaked executives and cloned voices.
Traditional verification methods may struggle to identify these increasingly sophisticated forms of deception. Reality Inc. also cited research suggesting that experienced underwriters detect only 10% of documents forged using AI, while people perform no better than chance when identifying certain AI-edited images.
Against this backdrop, businesses need verification systems that can examine digital content more systematically rather than relying solely on human judgment.
How Trustable AI Verifies Digital Content
Trustable AI is designed to analyze incoming digital materials, identify signs of fabrication or alteration, and create a signed authenticity record documenting its findings.
For documents, the platform aims to identify manipulated information, such as a retyped financial balance. For photographs, it can flag images that appear to have been altered using AI. It also addresses the verification of cloned voices and synthetic faces, which can be used to impersonate individuals during calls and video meetings.
Beyond media verification, Trustable AI is designed to assess AI agents operating on behalf of businesses. The system checks whether an agent is the entity it claims to be and whether its actions align with the permissions it has been granted.
A Reality key feature of the platform is its approach to preserving verification results. Rather than limiting the findings to a single inspection, Trustable AI attaches a digitally signed record to the relevant file, call, or session. The record is intended to remain accessible as the information moves between systems and organizations.
This approach could help reduce repeated verification efforts by allowing subsequent recipients to review an existing authenticity record. Businesses can use the recorded findings and supporting evidence to better understand whether content has been altered and what the verification process identified.
The goal is to establish a more consistent way of assessing digital trust across business transactions and interactions.
Building Trust Into Business Workflows
Dr. Ben Simiao Ren, co-founder and Chief Executive Officer of Reality Inc., said AI has made it easier to fabricate digital content while making fraudulent material harder to recognize.
“AI made it easy to fake anything and hard to catch. We built the defensive AI that makes it effortless to check,” Ren said.
He explained that Trustable AI examines the content a business receives, identifies potential fabrication, and signs the resulting verification record so that subsequent recipients can review the findings without necessarily repeating the entire process.
Ren described the approach through the principle of “Verified once, trusted everywhere,” emphasizing the company’s vision of creating trust infrastructure for an increasingly AI-driven business environment.
By incorporating verification into existing workflows, the company aims to help organizations evaluate digital information more efficiently. This is particularly relevant in industries where decisions depend on the reliability of submitted documents, recorded communications, visual evidence, and digital identities.
The platform’s focus on signed records also seeks to make verification results easier to communicate between systems. Instead of treating authenticity as a one-time judgment, the approach emphasizes maintaining accessible evidence of what was checked and what the verification process found.
Establishing Trust Infrastructure for the AI Era
The introduction of Trustable AI reflects a broader shift in cybersecurity and fraud prevention as organizations adapt to the growing use of generative AI.
While AI tools can improve productivity and automate routine tasks, their ability to generate convincing content creates new risks for businesses that rely on digital communications and documentation. Effective responses increasingly require approaches that combine content analysis, identity verification, and reliable records of verification outcomes.
Reality Inc. aims to address these needs by developing a platform that supports the verification of multiple forms of digital information through a unified trust engine.
For financial institutions, insurers, and other organizations, such capabilities could support more informed reviews of applications, transactions, and claims. Verification tools may also help businesses scrutinize suspicious communications and evaluate whether automated agents are operating within authorized boundaries.
However, the effectiveness of any verification platform depends on its detection capabilities, implementation, and suitability for the specific risks an organization faces. Trustable AI is positioned by Reality Inc. as a solution intended to reduce uncertainty surrounding digital authenticity and help businesses respond to increasingly sophisticated AI-enabled fraud.
About Reality Inc.
Reality Inc. develops trust infrastructure for the AI era. Its AI trust engine, Trustable AI, is designed to verify documents, photographs, voices, videos, and AI agents used in business interactions. The platform identifies potential fabrication or manipulation and attaches a digitally signed authenticity record to the relevant content.
Founded in 2025 and backed by Berkeley SkyDeck, Reality Inc. also operates Scam.ai, a scam-prevention service designed for consumers.
Through its products, the company aims to help individuals and organizations navigate a digital environment in which distinguishing authentic information from fabricated content is becoming increasingly challenging.
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