Incode Launches Deepsight Deepfake Detection

Incode Technologies has launched Deepsight, an AI-driven defense system designed to detect and block deepfakes and synthetic identity attacks in under 100 milliseconds. For fintech professionals, this represents a critical shift in security as generative AI makes traditional identity verification increasingly vulnerable to automated fraud during onboarding and authentication.

What was announced

Deepsight is a multi-modal AI defense tool that analyzes video, motion, and depth data to identify inconsistencies that synthetic media cannot reproduce. The system operates across three primary layers: a Behavioral Layer to spot subtle interaction anomalies from AI bots, an Integrity Layer to block virtual cameras and injected media, and a Perception Layer that distinguishes genuine human users from deepfakes through multi-modal analysis. According to internal tests, the technology is ten times more accurate than trained human reviewers.

The solution was benchmarked in a Purdue University study titled “Fit for Purpose? Deepfake Detection in the Real World,” published in October 2025. In this evaluation of 24 detection systems across commercial, government, and academic providers, Incode’s tool achieved the highest accuracy and the lowest false acceptance rate among commercial providers. The technology is designed to identify the specific "fingerprint" of the generative model used to produce fraudulent content, providing enterprises with deeper visibility into the nature of the threat.

Deepsight is currently available through the Incode Identity Platform and is already being utilized by organizations including TikTok, Scotiabank, and Nubank. To date, it has protected more than six million live identity sessions. The technology also forms part of Incode’s broader investment in "Agentic Identity," which aims to link verified humans to the AI agents operating on their behalf. Experian is also integrating Deepsight into its own suite of identity and fraud solutions to counter AI-generated threats.

The companies involved

Incode Technologies is a global provider of identity security and fraud prevention solutions. The company focuses on developing frontier AI research to establish trust in digital interactions, particularly as autonomous AI systems become more prevalent in financial transactions. Its platform is used across various sectors for KYC onboarding, step-up verification, authentication, and age verification.

Experian is a leading global data and technology company specializing in credit reporting and fraud prevention. The firm maintains a significant presence in the fintech ecosystem, providing the infrastructure for identity verification and credit risk assessment. Experian’s 2025 Identity and Fraud report indicates that 72% of business leaders view AI-generated fraud as a primary operational challenge heading into 2026. By partnering with Incode, Experian is expanding its defensive capabilities to include real-time deepfake detection, addressing a specific gap in the market created by the rapid advancement of generative AI tools that can bypass traditional biometric checks.

What FF News has reported before

FF News has extensively tracked Experian’s recent strategic moves to modernize credit and fraud infrastructure. In late 2026, the company entered a significant collaboration with Vanquis to enhance lending eligibility, as detailed in Experian and Vanquis Launch Strategic Partnership to Transform Lending and Fraud Prevention. This followed the launch of a new initiative to broaden credit access through alternative data, reported in Experian Launches Cashflow Data Bureau to Revolutionize Underwriting and Credit Access. Additionally, the firm has focused on the integrity of the data powering AI systems, a move covered in Experian and Solidatus Partner to Secure AI Data Lineage and Trust.

What this means

This announcement signals a decisive shift in the arms race between fraudsters and security providers. As generative AI becomes commoditized, the "liveness" checks that were once the gold standard for KYC are becoming obsolete. The industry is under immense pressure to move beyond simple biometric matching toward multi-modal analysis that can detect the subtle technical artifacts of synthetic media. For the fintech sector, the integration of these tools into major platforms like Experian suggests that deepfake defense is no longer a niche requirement but a core component of digital banking infrastructure. The primary challenge for the sector will be maintaining this detection accuracy as generative models continue to iterate.