GenAI Fraud Detection
GenAI Fraud Detection
Defend against deepfake fraud attacks
Battle-tested AI technology to detect and prevent fake identities synthetically-generated by AI.
Evasive AI has turned fraud into a mainstream threat, making traditional defenses dangerously obsolete.
Deepfakes are no longer niche; both organized networks and casual fraudsters use cheap tools to impersonate people, manipulate conversations, and erode digital trust. Costs are falling, quality is rising, and abuse is accelerating.
The real danger is blind spots. Most companies have little visibility into how exposed they already are, leaving them vulnerable to fraud, reputational damage, and regulatory scrutiny.
Our proven, mature and innovative machine learning models detect synthetic ID documents and biometrics.
Proprietary Synthetic Data
Our in-house AI team creates over 100,000 synthetic IDs monthly, building an unmatched proprietary dataset for red hat anti-deepfake training and testing. This scale and diversity gives our machine-learning models a decisive edge against evolving fraud tactics.
Perfect Benchmark Results
Tested against the largest public, independent deepfake dataset backed by DHS, Microblink caught 100% of deepfakes with 0% false accepts. Performance held at a tolerance threshold aligned to an estimated FRR of 1.38–3.3%, setting a new standard for accuracy.
Adaptive Universal Defense
The Microblink universal intelligence platform delivers multi-layered protection, dynamically adapting to new attack vectors. Designed for resilience, it future-proofs enterprises against both today’s mainstream deepfake exploitation and tomorrow’s unknown fraud threats.
How To Measure Deepfake Detection
We pressure-tested Microblink against a US Department of Homeland Security-backed dataset.
Assess the resultOur Solution: Fluid Digital Certainty
Intelligence That Anticipates Threats – Our multi-layered Fraud Lab replicates attacks and builds countermeasures, preventing fraud patterns before they emerge and strengthening with every breach attempt.
Cross-Modal Learning Power – Dynamic liveness detection across documents, biometrics, and cards ensures smarter, adaptive defenses against stolen identities, account takeovers, and GenAI-driven fraud.
Proven Business Impact – 97% customer satisfaction, NPS of 74, 40% capture rate improvement, and 50% fraud reduction—protecting revenue, reputation, and long-term trust.
Our best-in-class universal identity intelligence platform is built for fluid digital certainty, leveraging our proprietary dynamic AI architecture to consistently surpass industry benchmarks in speed and accuracy.
Customer satisfaction score
ID documents scanned every month
of in-house R&D in AI for identity verification
Explore an interactive tour of the Microblink Platform, and download free SDK demo apps.
Go to demosNo code workflow management, including ID card scanning and verification, biometrics, AML/CTF screening, PII data matching and risk signal.
A fully automated solution to quickly check and analyse if an ID is fake or real.
Fast and accurate credit card scanning and checking that reduces card-not-present fraud and increases conversions.
FAQ
What is a deepfake in the context of fraud?
How can businesses prepare for evolving deepfake threats?
Why are deepfakes a growing threat to businesses?
How can deepfakes be detected in real time?
What types of algorithms are effective for deepfake detection?
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Among all participating vendors, Microblink was the only provider to meet RIVR “high performing” system benchmarks across every measured accuracy metric.
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