Incode Executive Recommends Faster Defenses Against AI-Driven Identity Fraud
Summary
An Incode strategy executive argues that AI-enabled impersonation and synthetic-identity fraud require defenses updated within 7–10 days, and urges enterprises to assess identity-verification vendors on certifications, error reporting, update speed and intelligence分享.
Key points
- Fernanda Sottil of Incode claims synthetic identities increased 100-fold and deepfake impersonations sevenfold over 24 months; the article gives no methodology for these figures.
- The article cites a Deloitte forecast of $40 billion in U.S. AI-enabled fraud losses by 2027, up from $12.3 billion in 2023.
- It recommends that defenses identify new attack vectors, retrain models and deploy mitigations within 7–10 days.
- The vendor-evaluation checklist recommends checking independent biometric spoof testing, audited false-positive and false-negative rates, and the ability to update technology quickly.
- The article describes Incode’s Deepsight as combining machine learning with behavior and device checks to identify camera injections and synthetic-document fraud.
Article Details
- Topic
- AI-enabled fraud and identity spoofing, and the need for agile identity-verification defenses
Vendors
Products
Industries
banksDeepfake-driven attacks are rising across banks, fintechs, telcos, and critical infrastructure sectors.Critical infrastructureEnterprise leaders, especially in critical infrastructure, must adopt agile identity verification tools and vendor strategies that can update within days to keep pace with threats like Incode and other advanced fraudfintechsDeepfake-driven attacks are rising across banks, fintechs, telcos, and critical infrastructure sectors.TelcosDeepfake-driven attacks are rising across banks, fintechs, telcos, and critical infrastructure sectors.