CyberAId: AI-Driven Cybersecurity for Financial Service Providers
European financial institutions face mounting regulatory pressure while their security operations centres remain constrained not by data or staffing but by reasoning capacity: enterprise SIEMs cover only a fraction of MITRE ATT&CK techniques, two thirds of SOC teams cannot keep pace with alert volumes, and the majority of breaches are preceded by alerts that are generated but never investigated. Frontier large language models now achieve state-of-the-art results on isolated cybersecurity tasks (one-day vulnerability exploitation, code-level patching, intrusion detection) yet no narrow win constitutes a platform that can compose across functions, persist multi-tenant state, map findings to...
| Authors | George Fatouros, Georgios Makridis, John Soldatos et al. |
|---|---|
| Primary category | cs.AI |
| Published | 3 May 2026 |
| Last updated at source | 3 May 2026 |
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