Digital Integrity & AI Assurance

When authenticity becomes material

Generative AI can produce convincing text, images, audio, video and supporting digital identities. The practical risk is not limited to an obvious deepfake. A fabricated or manipulated item may sit inside an otherwise credible chain of emails, profiles, corporate records, documents and genuine information.

Carratu International approaches digital integrity as an investigative question: what is the source, what can be independently established, what has changed, which elements corroborate one another and what remains unresolved?

Synthetic media investigation

Suspected AI-generated or manipulated images, audio, video and communications can be assessed in context rather than by relying on a single detection score. Relevant enquiries may include source history, file and publication context, associated accounts or domains, chronology, corroborating records and inconsistencies between the media and external facts.

Identity authentication and synthetic identities

A synthetic identity may combine genuine and invented information. Research can test whether a claimed person, professional history, corporate affiliation, address, online profile, image or supporting narrative is internally consistent and independently corroborated.

Provenance and information integrity

Provenance analysis considers where material originated, how it moved, what transformations are identifiable and whether the claimed source can be supported. Information-integrity enquiries can also examine networks of copied claims, coordinated personas, fabricated websites, false attribution or misleading material designed to create an appearance of independent confirmation.

AI evidence assessment

Where digital material may influence litigation, an investigation, a transaction or another consequential decision, the useful question is not simply whether AI was involved. The material should be tested for authenticity, provenance, corroboration, material inconsistencies and the significance of any unresolved gaps.

AI governance and independent assurance

For organisations using AI in consequential processes, Carratu can review the surrounding governance and evidential controls: what system is used, what information enters it, what outputs are relied upon, who verifies them, how decisions are recorded and whether stated controls operate in practice.

Where an instruction requires source-code review, adversarial model testing, penetration testing, formal conformity assessment or specialist machine-learning engineering, Carratu can define the investigative requirement and, where appropriate, work alongside suitably qualified technical specialists. We do not present governance-focused assurance as a substitute for accredited or specialist technical testing.

Typical areas of enquiry

• Suspected deepfake, voice-clone or manipulated media.
• Synthetic or misrepresented personal and corporate identities.
• Origin and provenance of documents, images, communications or online claims.
• AI-enabled impersonation, fraud and reputation manipulation.
• Corroboration of digital material before litigation or major decisions.
• Independent review of AI governance, output verification and human oversight.
• Information-integrity assessment within enhanced due diligence.

What clients receive

Depending on the brief, outputs may include an integrity assessment, identity and provenance report, source-referenced chronology, discrepancy schedule, corroboration matrix, governance review or focused intelligence note. Reporting distinguishes established facts, source information, analytical indicators and unresolved questions.