Patient Relevant Osteoarthritis endpoints using Big data Evaluation
The increasing complexity and frequency of cyberattacks necessitate advanced, adaptive security solutions, which the AIAGENT4CYBER project addresses by introducing a cutting-edge multi-AI agent security technology designed to enhance the detection, prevention, and response to cyber threats in real-time. This system leverages the coordinated efforts of multiple AI agents, each with specialized roles in attack simulation, defence strategy formulation, and business continuity testing, fostering adaptive and dynamic protection mechanisms that anticipate and mitigate emerging threats, including those targeting generative AI models.
Operating within a secure and privacy-compliant framework, the AI agents enable automated, scalable threat monitoring and mitigation without the need for constant human oversight, representing a shift from reactive to proactive cybersecurity and improving resilience against both known and unknown threats. The project further aims to enhance Europe’s cybersecurity capabilities by developing AI-driven agent-based solutions for real-time threat monitoring, intrusion detection, and incident response.
SBA Research is among other aspects responsible for:
- Development of Multi AI Agent-Powered Security Tools
- Real-Time Malware Detection and Analysis Using Multi-Agent AI – Federated Learning
Official Project Lead: ITCL Technology Centre