Artificial intelligence is reshaping the landscape of fraud, presenting both a significant threat and a powerful defense for American families. During a recent meeting of the U.S. House Committee on Financial Services, experts highlighted how criminal organizations are leveraging AI to enhance their fraudulent activities, creating sophisticated phishing emails, compelling voice clones, and convincing deepfakes that can deceive even the most vigilant citizens.

However, the same technology that fuels these threats can also be harnessed to combat them. Companies like Gen are utilizing AI to analyze vast amounts of data in real-time, detecting fraud and preventing scams before they reach consumers. Yet, experts emphasized that technology alone is insufficient. A multi-faceted approach is essential.

Key recommendations from the meeting included three primary priorities for Congress:

1. **Prevent Fraud Before It Happens**: This involves raising awareness through national education campaigns focused on scams and identity theft, modernizing breach notifications, and investing in public-private partnerships to enhance digital literacy.

2. **Disrupt the Scam Supply Chain**: Experts called for better regulation of social media networks and data brokers that facilitate scams, alongside empowering law enforcement to tackle international fraud networks effectively.

3. **Empower Victims and Support Local Law Enforcement**: Local authorities need the tools and education to address scams, while victims should have access to a centralized repository for breach information and remediation steps.

The meeting underscored that fraud poses a systemic threat to the digital economy and consumer trust. A collaborative effort among government, industry, and civil society is crucial to protect American families and secure the integrity of the digital landscape. As the discussion concluded, the urgency for action was clear: the fight against fraud requires immediate and coordinated responses to safeguard the future of American consumers.