One AI engine for your two biggest risk areas
Transaction Forensics detects both novel fraud and money laundering behaviors—without replacing your existing transaction monitoring system.
TRUSTED BY
The system you know made better
Keep your existing transaction monitoring system and enhance it with ready-built ensembles of smaller, focused models that deploy within days. No switching costs, lower maintenance costs, and better understanding for your analysts.
There's no such thing as a perfect model
Modular ensembles give you near off-the-shelf deployment capabilities. Layer detectors trained to look for specific behaviors with those looking for undefined threats, and tweak and adapt them without taking the whole offline.
Personalize your risk monitoring
Create hyper-granular risk profiles for each customer by segmenting your transactional data with features available to your system and dynamically peer-grouping your audiences based on behaviors.
Enrich your monitoring with non-transactional data
Bring in data from interactions with your digital services, PII, devices, the geographic locales of your customers, and more to unearth relations beyond your transactions stream and get richer context for cyber-fraud and money-laundering detection.
Connect the dots between seemingly separate identities
Break down departmental silos and data lakes to uncover the controlling entities behind multiple different accounts, and stop fraud and money laundering rings in their tracks.
Financial risk prevention at cybersecurity speeds
Make real-time decisions in the transaction stream at sub-50 ms speeds on an architecture built to handle data volumes that dwarf the world’s largest payment networks.
The system you know made better
Keep your existing transaction monitoring system and enhance it with ready-built ensembles of smaller, focused models that deploy within days. No switching costs, lower maintenance costs, and better understanding for your analysts.
There's no such thing as a perfect model
Modular ensembles give you near off-the-shelf deployment capabilities. Layer detectors trained to look for specific behaviors with those looking for undefined threats, and tweak and adapt them without taking the whole offline.
Personalize your risk monitoring
Create hyper-granular risk profiles for each customer by segmenting your transactional data with features available to your system and dynamically peer-grouping your audiences based on behaviors.
Enrich your monitoring with non-transactional data
Bring in data from interactions with your digital services, PII, devices, the geographic locales of your customers, and more to unearth relations beyond your transactions stream and get richer context for cyber-fraud and money-laundering detection.
Connect the dots between seemingly separate identities
Break down departmental silos and data lakes to uncover the controlling entities behind multiple different accounts, and stop fraud and money laundering rings in their tracks.
Financial risk prevention at cybersecurity speeds
Make real-time decisions in the transaction stream at sub-50 ms speeds on an architecture built to handle data volumes that dwarf the world’s largest payment networks.
Resistant AI dramatically reduces false positives and detects advanced fraud and manipulation at the same time. Under the protection of Resistant AI, our Nikita engine can fully focus on credit risk assessment excellence.
We use Resistant AI’s technology in our KYC process. We greatly value the insights gained to help us validate the authenticity of documents submitted by customers.
Resistant AI prevents the manipulation of invoices submitted to our marketplace. It allows our investors to trade in security and saves my team a huge amount of manual work.
Resistant AI has helped us to drastically reduce both the time it takes to catch fraud, and the amount of fraud that makes it past us to lenders.
