Exploring the frontier where AI augments defensive and offensive security capabilities: adaptive automation, neural threat modeling and intelligent analyst support.
Defines a framework enabling security analysts to direct complex multi-tool workflows through semantic instruction layers backed by reinforcement-tuned policy models.
Comparative evaluation of temporal embedding strategies for distinguishing benign vs emergent threat traffic signatures in high-noise enterprise telemetry.
Contextual ranking pipeline that fuses exploit chatter, telemetry anomalies and asset criticality to surface highest-risk exposures ahead of mass exploitation.