AI-Driven Threat Detection & Security Analytics
5 Days
Course Overview
Course Overview Telecom networks generate massive operational and security data across RAN, Core, IP, cloud, and OSS/BSS systems. Traditional security monitoring cannot handle this scale or detect sophisticated attacks in real time. AI-driven threat detection and security analytics enable proactive monitoring, anomaly detection, and predictive incident response. This course provides a comprehensive understanding of AI-powered security analytics, covering threat intelligence, anomaly detection, predictive security, operational dashboards, and governance considerations. Participants will learn to leverage AI to detect, analyze, and mitigate threats while ensuring transparency and compliance.
Upcoming Trainings
Feb 9, 2026
Feb 23, 2026
Mar 9, 2026
Mar 23, 2026
Target Audience
- Telecom network security teams (SOC, NOC, security ops)
- Government and regulatory authorities
- Critical infrastructure protection teams
- Security architects and analysts
- AI/analytics leads in telecom
- Technical consultants and auditors
Prerequisites
- Basic understanding of: Telecom networks (2G–5G overview), Security concepts (CIA triad, threat landscape)
- Familiarity with: Basic data analytics or dashboards (helpful)
- No prior AI/ML programming experience required