Identities and users are strongly authenticated with at least two factors. Access to TrustBills' marketplace is protected by advanced tools like phishing-resistant TrustKeys.
Knowing your counterpart mitigates fraud risk and financial crime. TrustBills verifies business identities of marketplace participants for itself and for all marketplace participants.
ML and AI help avoid verity and moral hazard risks and enable undisclosed assignments. When selling receivables, customers ideally do not want to include their debtors. But how do you ensure the existence of the trade receivable without confirmation by the debtor? TrustBills uses legal chains and, in addition, uses state-of-the art ML and AI fraud prevention procedures.
Unsupervised learning algorithms make the many years of experience of banks and factoring companies obsolete. TrustBills' Moriarty-AI - fed with the rules of TrustBills and trained solely by self-play reinforcement learning - generates more fraud scenarios in less than three days than the whole history of banking and factoring experienced. Using these fraud scenarios, the Holmes-AI classifies whether uploaded trade receivables are suspicious of fraud.
TrustBills only uses tier 3+ data centers featuring a layered security model and being monitored by operation teams that can respond to threats to the infrastructure 24/7/365.
Data stored on our infrastructure is automatically encrypted and distributed for availability and reliability.
Communication over the Internet to our cloud services are encrypted in transit. Our network and infrastructure have multiple layers of protection to defend our marketplace participants against Denial-Of-Service attacks.