Traditional rule-based security fails against novel attacks. AI Defense leverages Machine Learning to establish behavioral baselines, detecting subtle anomalies that signal a breach in real-time, without human fatigue.
Detects insider threats by learning 'normal' user patterns (login times, data access) and flagging deviations.
Automates triage and containment. AI executes playbooks (e.g., disable user, isolate host) instantly upon alert.
Scrapes the dark web and global sensors to predict attacks on your sector before they hit your perimeter.
AI ingests TBs of logs from firewalls, clouds, and endpoints, normalizing data formats for analysis.
Machine Learning models compare live traffic against baseline behavior to identify anomalies (Zero-Day).
AI correlates alerts into a single 'Incident', reducing alert fatigue by filtering 99% of false positives.
Pre-approved playbooks execute immediately: blocking IPs, killing processes, or resetting passwords.