As AI-generated photos, documents, audio, and video become more realistic, insurers need broader validation workflows to reduce fraud, leakage, and manual review.
Photo and document validation can help insurers reduce claim leakage by identifying reused images, AI-generated or manipulated files, metadata inconsistencies, document errors, missing information, and mismatches against claim context before submitted files influence settlement decisions.
Attestiv CEO and Co-Founder Nicos Vekiarides recently joined SecureITWorld to discuss DeepScan, digital trust, and why file validation is becoming more important as generative AI advances.
The need for AI Accuracy sounds simple, but in real business workflows it can hide the more important issue: what kind of mistake is most costly?
AI-generated content detection is quickly becoming an important enterprise control, but as part of a broader set of workflows to validate content suitability and make decisions.
Attestiv’s DeepScan platform helps organizations validate submitted files before they influence claims, underwriting, lending, fraud, compliance, payment, or other high-risk decisions.