Insights

This month’s Regulatory Roundup highlights regulators focusing on clarifying crypto market structure, increasing scrutiny of AI systems, and strengthening accountability in compliance programs.

In this thought-provoking article, Innovative Systems’ COO, Deborah Overdeput, explores why adaptability and continuous reinvention are becoming essential leadership skills—particularly for women navigating the AI-driven economy.

FinScan® has been recognized in the Chartis Financial Crime and Compliance50 (FCC50) 2026 Rankings, highlighting its market influence and technology leadership.

Strategic partnership combines FinScan’s real-time data quality and screening technology with Nexus AML’s expert-led outsourced financial crime operations.

Join the FinScan team at Transform Finance’s 4th Annual FinCrime Leaders Summit Europe.

Deborah Overdeput, Chief Operating Officer (COO) at Innovative Systems has ranked #23 in the 2026 TechRound50 “Women in Startups & Tech” awards.

Meet the FinScan team at Smarter Faster Payments 2026 and be sure to stop by our booth to discuss your AML compliance needs with our team or to talk about partnerships.

FinScan’s Kieran Holland reframes the challenge at the heart of modern financial crime defense: it’s no longer just about volume or resourcing, but about how quickly institutions can gather, harmonize, and act on fragmented data to reach defensible decisions.

FinScan’s head of product management, Chris Ostrowski, makes a compelling case that complacency isn’t just a risk; it’s a competitive disadvantage.

The organization recently completed strategic migrations to FinScan in the cloud (SaaS) in EMEA and the US to unlock improved performance, streamline access, and enhance compliance capabilities.

FinScan, the anti-money laundering (AML) compliance solution of Innovative Systems, Inc., is proud to announce a series of successes it has achieved over the last 12 months.

At the recent Dow Jones Risk Journal Summit in Dubai, Ibrahim Bennani Doubli of FinScan sat down to discuss a topic that's often overlooked in the rush toward artificial intelligence: data itself.