Deepfakes Are a Fraud Tool. File Validation Is the Defense.
As AI-generated photos, documents, audio, and video become more realistic, insurers need broader validation workflows to reduce fraud, leakage, and manual review.
7 Ways Submitted File Validation Can Help Reduce Claim Leakage
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.
SecureITWorld Interview: Attestiv CEO on DeepScan, Digital Trust, and File Validation
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.
Accuracy, Precision, or Recall: Which Matters More for AI File Validation?
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 Content Detection Is a Signal. Validation Is the Workflow.
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.
How to Build a Validation Workflow for Submitted Files
Organizations increasingly rely on submitted files to make important business decisions. File validation workflows enable automation file processing efficiencies without risk and exposure.
From Deepfake Detection to File Validation
File validation is how organizations can begin to build stronger controls around digital decision-making.
Media and Document Validation Isn’t One-Size-Fits-All. Why Rule Customization Changes Everything.
Businesses are coming to the realization that validation and fraud detection aren’t the hard part. Decisioning is. Here’s what can be done.
Automated Validation Doesn’t Just Reduce Fraud — It Saves Money Everywhere
Automated validation solutions can pay for themselves beyond stopping fraud—because they reduce costs across everyday operations.