Aroosa Virk

Shufti catches AI-generated faces, face swaps, synthetic identities and document deepfakes using 40+ ensemble models, not basic image scanning. - Reads skin texture, motion, lighting and depth irregularities - Detects the digital fingerprints unique to AI generators - Holds accuracy after compression, screenshots and stripped metadata - Three layers: capture integrity, liveness, forensics - Catches AI-generated IDs and splicing that OCR misses iBeta Level 3 conformance, 0% APCER and 0% BPCER.

Shufti gives you three ways to check age instead of one rigid flow, so the method matches the risk. - Database lookups against government and telco registries, no upload - Facial age estimation from a live selfie, processed on-device - Document verification across 10,000+ documents for regulated sectors Backed by iBeta Level 3 conformance and deepfake detection that blocks stolen IDs, 3D masks and AI faces. Meets COPPA, KOSA and GDPR-K. Dual Leader in Liminal's age indexes.

Shufti AI is one intelligence layer across every verification, every AML hit, and every monitoring rule. - Upload a KYC or AML policy and it drafts verification journeys for review - Describe a risk and it writes candidate monitoring rules -Co-Pilot triages every AML hit with reasoning and a confidence score - Ask about your live data in plain language, inside Claude