Financial crime detection is broken
$3.1 trillion in illegal transactions were made in 2023. More than $800 billion was connected to drug trafficking, $350 billion to human trafficking, and $11.5 billion to terrorism. Another $500 billion was lost to fraud.
1% of these crimes are brought to justice.
That feels like an error of focus. Not an error of ability.
$350 billion
More than a third of a trillion dollars is generated each year by human trafficking.
50 million
There are more than 50 million people trapped in modern slavery.
1%
Only 1% of financial crimes are brought to justice.
Research report
Banks think they are 8 months behind criminals
New research by the RedFlag Accelerator reveals banks think they are 8 months behind criminals.
That’s according to 300 anti-fraud and AML professionals at US banks.
Some of the largest institutions believe the gap could be as wide as 23 months.
However, they’re confident they can catch up.
23 months
Most banks think criminals are around 8 months ahead of the banks, with the largest institutions believing the gap is as wide as 23 months.
27%
Over a quarter of banks blame internal governance as the main reason banks are so far behind.
57%
More than half of banks believe AI will make it more difficult to detect financial crimes.
Comprehensive source
How can the RedFlag Accelerator help?
The RedFlag Accelerator is the world’s most comprehensive source of contextual persona-based typologies. We help AML vendors and anti-fraud teams to:
Know where to start
The RedFlag Accelerator consolidates typologies, personas, and red flags for AML predicate offenses into a single source.
Know what to look for
The RedFlag Accelerator gives visibility over the data by indicating what to look for, where to look, and what you are seeing.
Take action
With full visibility and practical indicators, the RedFlag Accelerator helps banks, AML vendors, and law enforcement set a practical framework for high-quality alerts, investigation, and training.
A persona-based approach
How it works
We’ve compiled scenarios based on hundreds of trusted intelligence sources to build the red flags for perpetrators, victims, money launder personas, and everyone in between.
Persona-based approach
Our ground-breaking approach identifies behavioral patterns found across individuals involved in specific financial crimes.
Analytics
Persona-centric analytics embedded in your AML tools offer an efficient and effective alternative to rules-based detection.
Free Investigation Guides
Know what to look for and how to find it
Better detect crimes hidden within your financial data.
Our financial crime investigation guides provide the context, personas, and step-by-step instructions to help you spot crimes such as sex trafficking, pig butchering scams, elder abuse, online child sexual exploitation, and more.
What can the RedFlag Accelerator offer you?
Gold Standard Typologies
Typologies for AML predicate offenses including human trafficking, drug trafficking, child sexual exploitation, fraud, scams, and other human crimes.
Contextual Profiles
Persona-based customer profiles, behaviors and scenarios.
Data-driven Red Flags
The world's most comprehensive source of enriched, up-to-date, data-driven red flags.
Investigation Guides
Step-by-step guides to target specific personas and predicate offences.
Data Mapping
Comprehensive internal and external data mapping.
AI Assistant
Access AskSilvija, our AI assistant trained on the RedFlag Accelerator typologies, personas, flags, and regulatory data to accelerate training and investigations.
Register for the RedFlag Accelerator Portal
Get free access today
Register for individual access to the RedFlag Accelerator Portal – the most comprehensive source of persona-based red flags in financial services.