The third CyberAId tutorial introduces CyberAId, an innovative AI-driven multi-agent platform developed to strengthen cybersecurity and regulatory resilience across the financial services sector. By combining specialized AI agents with existing security infrastructures, the project seeks to address the growing complexity of cyber threats, regulatory obligations, and security operations faced by modern financial institutions.

Using this vision as a foundation, the tutorial examines how CyberAId enhances threat detection, incident investigation, threat intelligence, and compliance activities through a coordinated ecosystem of expert AI agents. Particular attention is given to the platform’s architecture, including the Central Router Agent, human-in-the-loop oversight, tiered autonomy, and alignment with regulatory frameworks such as DORA and the EU AI Act.

It also provides an accessible introduction to key concepts underpinning the project, including multi-agent AI systems, federated knowledge sharing, digital twins for adversarial testing, and quantum-token authentication. Through this exploration, learners will gain insight into the objectives, innovations, and expected impact of CyberAId and its role in advancing secure and resilient digital finance.