Conversational AI Solutions for Fraud Detection and AML Compliance
Financial Institutions Gain Unparalleled Agility in Combating Financial Crime with Conversational AI Agents
The landscape of financial crime has evolved significantly in recent years, with fraudsters leveraging AI to scale their attacks and exploit vulnerabilities faster than ever before.
According to a recent report:
DataVisor has introduced Vera, a suite of conversational AI agents designed to enhance the efficiency and adaptability of financial crime operations.
Vera Enables Institutions to Manage Risk Using Natural Language
- Vera allows teams to issue instructions that AI agents execute across the entire fraud and anti-money laundering (AML) lifecycle.
- This revolutionary approach reduces manual workflows, empowering a more agile and proactive operating model for modern financial crime prevention.
As CEO Yinglian Xie emphasizes, “With Vera, financial institutions can finally outpace AI-driven attackers, unlocking unparalleled speed and intelligence to redefine the playing field.”
Vera System Capabilities
- Speed: Detecting threats, deploying countermeasures, and adapting defenses faster and easier, without the constraints of traditional manual workflows or no-code/low-code tools.
- Intelligence insights: Surfacing valuable insights from business and behavioral data and signals, enabling more effective and reliable decision-making.
- Agility and adaptability: Combining Vera with cutting-edge unsupervised machine learning to uncover emerging criminal patterns, identifying new trends, and tailoring risk strategies proactively at the earliest possible stage.
- Enterprise-grade governance and control: Providing full transparency and control, with logged interactions, human approval for actions, auditability, and rollback.
Early results from DataVisor customers, such as NASA Federal Credit Union and a digital financial platform serving 10 million customers, demonstrate the meaningful impact of Vera:
- Detection strategy design: Converting emerging fraud patterns or regulatory requirements into detection strategies through plain language, increasing detection coverage by 2-3 times.
- Optimization: Continuously evaluating performance, simulating scenarios, and refining thresholds and rules, reducing false positives by 40%.
- Investigation: Surfacing key signals and guiding analysts through investigations, reducing investigation time by 20-30 times while improving consistency.
- Regulatory reporting: Automatically generating SAR narratives from case data, reducing preparation time by 90%+ with full transparency and human review.
