Background The digital age has fueled both unprecedented innovation and a relentless surge in fraud. Organizations across industries are bleeding billions annually, with telcos and financial institutions among the hardest hit. Telcos alone face estimated losses of $38 billion annually, and the financial sector is projected to lose a staggering $40 billion by 2027. These vast losses highlight the increasingly sophisticated tactics employed by fraudsters and the urgent need for new approaches. Problem Statement Traditional fraud investigations, often resource-intensive and slow, simply cannot match the speed and adaptability of modern fraud schemes, especially with the rise of 5G and new digital services. This leaves telcos increasingly vulnerable. Simultaneously, financial institutions desperately need comprehensive customer data to build accurate risk profiles. However, their access to data is often limited, making it impossible to perform truly thorough credit risk assessments. This gap in intelligence leaves them dangerously exposed to financial risk. The result: an urgent need for a new, collaborative approach to combatting fraud – one that leverages the unique data assets held by telcos and harnesses the latest advances in technology. This Catalyst project isn't just about defense; it's about transformation. Our objectives are: * AI-Powered Defense: Deploy adaptable AI agents that learn, predict, and act in real-time, thwarting fraud in its tracks. * Unlock Data's Power: Harness the unique insights within telco data, while upholding strict privacy standards, to empower financial institutions with unprecedented risk assessment capabilities. * Break Down Silos: Foster secure, collaborative data sharing that benefits both telcos and financial institutions. * Turn Defense into Revenue: Enable telcos to ethically monetize their data, opening a vital new revenue stream. The Bigger Picture: This Catalyst aims to change the game. We envision a future where AI-powered defenses, cross-industry collaboration, and secure data-sharing create a powerful, proactive shield against fraud. Follow our catalyst for more updates.