Generative AI turned a convincing face and a clean-looking ID into a thirty-second job. We build the forensic layer that catches synthetic identities before they clear onboarding, without wrongly rejecting the real customers you want.
Every fintech, lender and exchange has to verify identity at signup. It is legally required and it happens millions of times a day. But the tools that guard that door were built for a world before deepfakes. A fraud ring now spins up hundreds of synthetic identities, drains loans and credit lines, and disappears before a human ever looks.
TrueSecurix exists to close that gap, with detection that is current with the generators attackers actually use, and honest enough that a risk team can defend every decision it makes.
Math decides. AI advises. A real customer is never auto-rejected on a guess.
Only deterministic checksum math can hard-flag a document. AI signals must reach multi-family consensus before a confident flag, and anything uncertain routes to a human, not a rejection. It is the difference between a tool a compliance team trusts and one they switch off.
Every decision ships with the reasoning behind it, so your fraud, risk and compliance teams can audit and defend it.
When the system is unsure, it asks for a human, not a wrongful reject. Uncertainty is routed, not guessed.
We publish our method and dataset and would rather you test us on your own fraud than take a number on faith.
Identity images are analysed in memory and never stored as files. We keep a one-way hash for audit, never the document.
India runs one of the largest digital-identity and lending ecosystems on earth, and it is a front line for synthetic-identity fraud. We tune our detection for Indian faces and document formats, Aadhaar, PAN, passports, bank statements and payslips, and run our infrastructure in India, so data stays in-country.
The same API works anywhere identity is verified. We start where the problem is hardest and the need is clearest.
100 verifications free, no card. Point it at the fraud you are seeing today and see what it catches before you pay a rupee.
