Our team has 12 years of experience in Security Machine Learning.
We have started working together at Czech Technical University with US Government funding, created a spin-off company Cognitive Security based on our technology and took it through VC financing (in 2011) to successful acquisition by Cisco in 2013.
After 6 years of building global-scale security analytics at Cisco, we have decided to create a new startup and started Resistant AI with the aim of protecting the machine learning-based systems and automated processing systems from the new generation of security threats and fraud.
Integration Use Case Description
We are able to detect and correctly report fraudulent, forged or suspicious PDF documents that are being processed within your internal workflow.
Resistant AI solution inspects the financial documents and bank statements submitted to our customers for signs of manipulation and raises an alert when a modification, file corruption, inconsistency with past behavior, or other anomaly is found by the system.
The system receives PDF documents via a secure API or a secure Web interface and classifies the document as either trustworthy and suitable for automated processing, suitable for manual processing only (often due to resolution or document quality issues) or as an outright fraud attempt.
The user interface then highlights the problematic parts of the document.