Protects Automation and Al Systems From Manipulation and Attack
Resistant Al subjects every customer interaction to forensic analysis to detect document forgery, serial fraud, synthetic identities, bots, account takeovers, money laundering, and unknown financial threats operating at scale.
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Taking the Offensive Against Financial Crime
Smooth and instant decisions are key aspects to any modern financial service. Al systems that power such decisions are under constant attack by fraudsters capable of committing fraud with convenience and anonymity.
Fraud
Cost of fraud globally US$5 trillion p.a.
Financial Crime
Between 2% (€715Bn) and 5% (€1.87Tn) of global GDP is laundered annually; only 1.1% is recovered
Forgery
Up to 1% of payment transactions and lending applications we inspect are
Identity Forensics
At Resistant Al, we've been using machine learning to hunt cybercriminals for over 15 years, and we've followed them into the field of financial crime. We've developed state of the art machine-learning techniques we call Identity Forensics to make the Al and automation systems you rely upon resilient to manipulation and attack.
What We Offer
Smooth and instant decisions are key aspects to any modern financial service. Al systems that power such decisions are under constant attack by fraudsters capable of committing fraud with convenience and anonymity
Document Forensics
Detect forgeries and modifications on any document.
Transaction Forensics
Add a protective layer enhancing the existing Fraud, AML or scoring systems.
What Our Customers Are Saying
Michal Krocil
Chief Risk Officer | Twisto
