Resistant AI provides document forensics and fraud detection technology that identifies manipulated, synthetic, or forged documents submitted in insurance applications and claims. Using computer vision and ML, the platform detects subtle document tampering, synthetic identity signals, and AML risks that human reviewers miss. It integrates into onboarding and claims intake workflows. It is fraud detection at the document layer, paired naturally with identity verification at intake.
Key features: Document manipulation and forgery detection · Synthetic identity and deepfake document screening · AML and transaction pattern anomaly detection · Real-time API integration into application and claims workflows · Audit-ready decision explanations
Pros: Detects sophisticated document fraud beyond metadata-level checks · Fast API integration into existing underwriting and claims intake · Explainable outputs support compliance and appeals processes · Applicable across insurance, lending, and financial services
Cons: Focused on document fraud specifically; not a general fraud platform · Requires access to document images in the intake workflow · Pricing not publicly listed
Pricing: Quote-based, not publicly listed.
Best for: carriers and insurtechs processing digital applications
Audience: carrier
