How Darktrace Uses Machine Learning for Real-Time Autonomous Cyber Threat Detection and Response

Darktrace leverages machine learning to establish baselines of normal network and user behavior, detecting deviations indicative of cyber threats in real time. Its AI autonomously responds to threats like ransomware, isolating compromised devices and blocking malicious activity to minimize damage across finance, healthcare, and energy sectors.

Traditional security tools relying on signatures and rules failed to detect novel and stealthy cyber threats, leaving organizations vulnerable to data breaches and ransomware.

Deployed self-learning AI that continuously models normal network behavior, detects anomalies, and autonomously intervenes using Darktrace Antigena technology to contain threats without disrupting operations.