Centralises logs across the ecosystem; applies AI/ML for anomaly detection, correlation, and compliance.
Automates security workflows for faster incident response and reduced manual effort.
Detects insider threats and anomalous activity by monitoring users and devices.
AI-driven deep packet inspection and behavioural analysis for real-time network threat detection.
Continuous monitoring and response at endpoints against malware, ransomware, and APTs.
Contextualises global and local threat feeds, enriching alerts with adversary TTPs.
Proactively finds, prioritises, and validates exposure points before adversaries exploit them.
Scalable ingestion, AI-driven abstraction, and fast cross-domain analysis.
Autonomous triage, noise reduction, escalation of true positives, and action recommendations.
Visual, intuitive risk scoring for real-time situational awareness.
AI assistant that guides analysts, suggests remediation, and accelerates decision-making.
