Malware analysis, agentic AI and adversarial ML.

Research questions

• RQ-001Can SI models integrating deep learning, reinforcement learning, and reasoning modules accurately predict previously unseen malware behaviours before execution?In development
• RQ-002How can agentic cognitive SI infer malware intent from incomplete or evolving behavioural indicators?Planned
• RQ-003What combination of pattern recognition, reinforcement learning, and reasoning strategies yields optimal predictive and preventive malware defence?Planned
• RQ-004How can autonomous SI agents execute reliable, pre-emptive mitigation actions while maintaining low false-positive rates and avoiding collateral disruption?Planned
• RQ-005How can community-submitted malware samples enhance the learning and predictive capability of the agentic SI framework?Planned

Ten-stage lifecycle