.png)
Solutions for Fraud and AML
Suspicious Account Sharing
Assess account trust without exposing raw data. Financial institutions collaborate in a privacy-preserving space to share flagged accounts.
These are enriched with external risk signals (e.g. from clearing houses, PSPs, or telcos) to generate a multi-source fraud score. Insights help prioritize investigations and assess trust before payments are made, without exchanging sensitive data.
Investigation Agents
Boost analyst productivity—without exposing sensitive data. An enterprise AI agent helps AML and fraud teams query internal and external sources using natural language.
It orchestrates secure, PII-free queries and delivers insights fast. Teams can quickly define new patterns and adapt workflows—accelerating investigations.
Collaboratively detect exposure to risky entities — without compromising privacy.
Banks, insurers, leasing companies, and other institutions securely contribute lists of flagged entities to a shared, privacy-preserving environment.
Only anonymized risk signals are exchanged never sensitive business data. Participants can proactively detect exposure to high-risk companies during onboarding, periodic due diligence, or investigations.
Watchlist Collaboration
-
Can I share intelligence without exposing my data?Yes — that’s our core innovation. Datavillage enables you to collaborate securely with other institutions using privacy-preserving technologies like trusted execution environment and confidential computing. Your data never leaves your perimeter, yet you benefit from shared intelligence.
-
What makes your AI agents safe and trustworthy to use in finance?Our agents are designed for regulated industries from the ground up. They operate within strict privacy boundaries and can be orchestrated securely inside your infrastructure or in a shared collaboration environment with zero data leakage including to LLMs.
-
How long does it take to get started?Not long. We’ve designed this to be easy. Depending on your use case, onboarding typically takes between a few days to a couple of weeks. Our team supports integration, policy setup, and onboarding at every step.
-
Is Datavillage compliant with GDPR, PSD3, and AMLR?Yes, and we’re already aligned with what’s coming. Datavillage is fully compliant with GDPR. We're ahead of the curve in supporting PSD3 and the Payment Services Regulation (PSR) by enabling secure, auditable data sharing across Payment Service Providers (PSPs). We provide governance tooling and compliance hooks out-of-the-box.
-
How does Datavillage support compliance-driven collaboration between PSPs?Through orchestration, traceability, and zero data exposure. Our platform supports the formation of shared compliance spaces where PSPs can contribute data signals, run distributed analytics, and produce risk insights — all without sharing raw data. This aligns with PSR mandates for enhanced fraud monitoring and AML cooperation.
-
How does Datavillage help reduce fraud and AML false positives?By turning fragmented signals into a connected picture. We allow banks, PSPs, and telcos to combine behavioral, transactional, and device intelligence without breaking silos. You gain access to richer signals for real-time detection, leading to fewer false positives and faster fraud interdiction.
-
What types of fraud use cases can you support?From real-time scam prevention and mule account detection to onboarding checks and transaction monitoring, Datavillage powers multi-party intelligence sharing for: Investment scams Authorized push payment (APP) fraud SIM-swap and device hijacking Mule account tracking All while staying compliant and respecting customer privacy.
Let's discuss
Let’s explore how privacy-preserving collaboration can help you detect risk exposure while keeping sensitive data fully protected.