Jscrambler offers comprehensive client-side protection for KYC and identity verification platforms to prevent sensitive biometric and identity data leakage, SDK reverse engineering, and unauthorized third-party data access, ensuring every verification session is secure, compliant, and optimized for conversion.
Identity verification and biometric vendors embed SDKs directly into browser environments to collect and process the most sensitive data in the digital economy: government-issued documents, facial recognition inputs, behavioral signals, and authentication factors. With deepfake-driven fraud attempts up more than 2,000% in three years, bot traffic representing nearly a third of all internet activity, and identity fraud accelerating during digital onboarding, the browser execution layer has become the highest-risk surface in the verification workflow, where data leakage, workflow manipulation, and unauthorized third-party access directly impact institutional trust and regulatory compliance.
91%
of identity fraud cases have been perpetrated through online platforms
94%
of banking organizations have been affected by identity fraud
34%
of fraud cases involve manipulating biometric data to deceive verification systems in the U.S.
Jscrambler’s client-side security platform enforces governance directly inside identity verification sessions, hardening verification logic and workflow validation mechanisms against tampering and automation abuse, enforcing least-privilege access to biometric and identity fields, blocking unauthorized outbound data transmission, and governing contextual data before it reaches external systems or AI models, giving identity vendors stronger runtime control and greater client confidence in platform security.
Harden client-side verification SDKs and workflow validation logic against reverse engineering, tampering, and runtime analysis, including AI-assisted attacks that use large language models to accelerate code analysis and bypass detection. Prevent attackers from exploiting or replicating identity verification mechanisms and protect the proprietary technology your platform is built on.
Enforce least-privilege access to identity and biometric fields during live verification sessions, restrict which scripts can read or access sensitive inputs, and block unauthorized outbound transmission before government-issued documents, facial recognition data, or behavioral signals leave the page.
Protect identity verification workflows from bot-driven automation abuse, deepfake injection attempts, and manipulation of verification logic, including LLM-powered attacks capable of analyzing and mimicking legitimate verification patterns at scale. Ensure onboarding and authentication flows execute as intended.
Restrict what third-party scripts, pixels, and AI services can access and collect during live identity sessions, preventing unauthorized extraction of biometric inputs and behavioral signals into external platforms, and maintaining the regulatory alignment and institutional trust that identity verification vendors depend on to win and retain financial-sector clients.
"We jumped on a call with the Jscrambler team and got very good guidance about what we needed to do. It was easy to set up, easy to fine-tune when it needed fine-tuning, and that was it. Then we let it run."