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.
AIToolAdvi evaluates two similar products with distinctly different use cases
The recent trend of deep fakes in images, claims evidence, fake ID, and fake financial docs can cause headaches for insurance brands.
Attestiv DeepScan highlighted as one of Help Net Security’s infosec products of the week.
Secure IT World’s coverage of Attestiv’s launch of DeepScan.
Briefglance.com reports on Attestiv’s launch of DeepScan and its potential impact
DeepScan enables organizations to validate submitted files using forensic signals, configurable business rules, and workflow data before critical decisions are made
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?
Attestiv’s DeepScan platform helps organizations validate submitted files before they influence claims, underwriting, lending, fraud, compliance, payment, or other high-risk decisions.