• Lived experience matters. Different backgrounds bring different perspectives to research, technology, and fraud prevention.
• Technology can replicate existing bias: AI trained on flawed or unrepresentative data risks scaling societal inequalities.
• Accountability changes behaviour: Personal responsibility for executives may drive change where corporate fines have failed.
• Criminals specialize and collaborate: Fraud, money laundering, malware, and organized crime increasingly operate as interconnected ecosystems.
• Financial crime fuels wider organized crime: Disrupting the movement and laundering of money can have an impact far beyond individual fraud cases.
• Learn from other countries: Fraud patterns seen in more digitized markets can provide an early warning for markets following similar paths.
• Friction is not always bad: Removing too much friction from banking and digital services can also remove barriers for criminals.
• Social engineering is becoming more important: As technical defenses improve, criminals increasingly target the person instead of the system.
• Small security choices matter: Reusing the same PIN for a phone and banking apps can turn a stolen or compromised device into an account takeover.
• Shame can delay scam reporting: Better education and clearer support can help people ask for help before it is too late.

Nicola’s message is ultimately one of learning and collaboration. Individuals, organizations, and countries should resist the assumption that fraud happening elsewhere “won’t happen here.” By sharing evidence, learning from others, designing smarter safeguards, and putting harm reduction first, the industry can make both people and systems harder targets.