Security Engineering with AI
Date and time is TBD
|Location is TBD
Gain proficiency in cybersecurity risk assessment, management, and mitigation augmented by AI. Cover predictive risk analysis, automated scoring, and threat modeling. Explore adversarial machine learning for attack detection, defense strategies, and cyber attack attribution.
Time & Location
Date and time is TBD
Location is TBD
About the event
Learning Objective - Gain proficiency in cybersecurity risk assessment, management, and mitigation augmented by AI. Cover predictive risk analysis, automated scoring, and threat modeling. Explore adversarial machine learning for attack detection, defense strategies, and cyber attack attribution. Learn visualization techniques, secure AI model development, vulnerability assessment, application security testing, IAM, secure communication protocols, biometric authentication, and regulatory compliance automation, all with AI integration.
Audience – Any intermediate-senior level professional in cybersecurity
Pre-Requisite: Proficiency in Cyber Threat Intelligence, Cybersecurity Data Analysis, Anomaly Detection in Networks, IDS, and IPS is essential. Additionally, expertise in Malware Analysis, Threat Hunting with AI, SIEM with AI, Endpoint Security with AI, and Cybersecurity Forensics with AI is required. This includes enhancing SIEM with ML, AI-driven anomaly detection, NLP for event categorization, AI predictive modeling, deploying AI-driven EDR, ML for telemetry data analysis, AI-based EPP, integrating AI-powered endpoint security with threat intel feeds, utilizing ML for digital…