Cybercrime is now a $14 trillion industry, and healthcare remains one of its most vulnerable targets. With cyberattacks growing in sophistication, and healthcare data frequently exploited, the industry must shift from reactive defenses to proactive, coordinated security strategies.
By 2030, AI will play a central role in fraud prevention, moving beyond detection to real-time containment and prediction. Technologies like federated learning will allow fraud models to instantly adapt and protect networks based on new threats. Quantum computing also looms on the horizon, threatening to upend current encryption methods, but also creating opportunities for next-generation defense.
This matters deeply for healthcare. The five largest breaches in 2024 affected millions of patients and eroded trust. With “card not present” fraud accounting for 66% of consumer-directed healthcare fraud, AI-powered, networked defenses are the only viable path forward.