Flagright Closes $12.5M Series A as Demand for AI Compliance Software Grows
The transaction monitoring systems that most banks rely on were designed for a world of batch-processed payments and paper trails....
John Carrington
AMLA 2026: EU Anti-Money Laundering Authority Rules, Timeline, and Impact
Roughly $750 billion in dirty money moved through Europe's financial system in 2023. Nearly $195 billion of it crossed national...
Banks Turn to AI Agents for AML, Fraud Detection and Risk Monitoring
The global financial industry spends roughly $206 billion a year trying to stop money laundering. It intercepts less than 1%...
Haast, the AI Compliance Startup Quietly Winning Over Regulated Industries
Haast, a New York-based startup that automates marketing compliance reviews for large enterprises, closed a $12 million Series A in...
Agentic AI and RegTech: Automating Compliance and Risk Detection
The compliance industry has a ratio problem. Between 90% and 95% of all alerts generated by anti-money-laundering transaction monitoring systems...
Change Management: 4 Barriers Slowing Organisational Adoption
In 2024, the Financial Conduct Authority issued 27 enforcement actions worth a combined £176 million, a 230% increase on the...
Sunhat Helps 500+ Enterprises Close Compliance Proof Gap With AI Platform
Sunhat has raised €14.2 million since its 2022 founding to solve what its chief executive calls a proof problem, not...
Commerzbank adopts Hawk AI to strengthen AML controls
In a move that signals how seriously Europe's largest lenders are taking the threat of financial crime, Commerzbank adopts Hawk...
Yonda Tax: From Start-Up to 40-Jurisdiction Compliance Provider
For any fast-growing business selling across borders, navigating indirect tax obligations is one of the most complex operational challenges imaginable....
Secfix Raises $12M Series A to Close Enterprise Security-Compliance Gap
Secfix, a Munich-based startup that automates cybersecurity compliance for European businesses, has raised $12 million in a Series A funding...
