Sigma360 and Consilient have announced a strategic partnership aimed at transforming financial crime prevention through advanced AI and collaborative technologies. By combining their respective strengths, the companies are working to deliver a unified, next-generation solution that enhances risk intelligence, compliance, and financial crime detection. Moreover, this collaboration reflects a broader industry shift toward more integrated and intelligent compliance systems.
“Consilient’s mission is to transform financial crime prevention through collaboration and advanced AI,” said Ajit Tharaken, CEO of Consilient. “Partnership with Sigma360 allows us to embed our federated learning capabilities into the workflow of pKYC (perpetual KYC) and transaction monitoring, creating one seamless solution – a formidable barrier against illicit actors – while protecting data privacy.”
At the same time, Sigma360 emphasized the importance of moving beyond traditional compliance approaches. As financial institutions face increasingly sophisticated threats, legacy systems often struggle to keep pace due to fragmented data and siloed operations.
“The industry has reached a tipping point where traditional, siloed defenses are no longer sufficient,” said Stuart Jones, Jr., CEO of Sigma360. “Through integration with Consilient, Sigma360 has moved beyond data aggregation. We deliver an integrated ‘always-on brain’ for compliance departments that learns, adapts and identifies risk at scale.”
Importantly, this partnership introduces a first-of-its-kind solution designed to address the growing complexity of global financial crime. By integrating Sigma360’s real-time risk intelligence platform with Consilient’s federated learning technology, the companies aim to eliminate the long-standing “silo effect.” As a result, financial institutions can gain a more comprehensive and unified view of risk across their operations.
Furthermore, the joint solution enhances existing detection systems by enabling continuously improving AI models. These models operate collaboratively across organizations without requiring the transfer of sensitive data, thereby preserving privacy while strengthening detection capabilities. Consequently, institutions can adopt a more proactive approach to identifying and preventing illicit activities with greater accuracy and efficiency.
In addition, the partnership aligns with the industry’s transition from periodic compliance reviews to continuous risk assessment. Sigma360’s platform automates the shift to perpetual KYC (pKYC), allowing organizations to monitor risk in real time using dynamic entity intelligence. Meanwhile, Consilient’s federated learning framework enables cross-institutional collaboration, ensuring that AI models evolve continuously without exposing personally identifiable information (PII).
Another key advantage lies in the enhanced monitoring capabilities delivered by the integration. Sigma360’s entity resolution, sanctions screening, and adverse media analysis combined with Consilient’s advanced AI enable the detection of complex financial crimes that often go unnoticed by traditional, rules-based systems. Therefore, organizations can significantly improve detection precision while reducing false positives, or “noise,” that typically overwhelms compliance teams.
As a result, compliance professionals can focus their efforts on the most critical threats, improving both operational efficiency and risk management outcomes. This shift not only strengthens financial crime prevention but also supports regulatory compliance in an increasingly demanding environment.
“There is a fundamental need to apply new technology to transform the discovery and prevention of financial crime risk,” said Juan Zarate, Chair and Co-Founder of Consilient. “The Sigma360 and Consilient partnership advances this and represents the leading-edge of dynamic, effective compliance risk management enabling federated collaboration across data sets, institutions, and borders.”
Overall, the Sigma360 and Consilient partnership sets a new benchmark for AI-driven financial crime prevention. By leveraging federated learning and real-time intelligence, the collaboration empowers financial institutions to move toward a more connected, adaptive, and resilient compliance framework.
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