CONTACT FOR DEMO CLASS : (+91) 8951869553/52
CONTACT FOR DEMO CLASS : (+91) 8951869553/52
Course Start Date: 18th December 2025
Participants will design and implement AI-powered threat detection systems, automate incident response workflows, and integrate machine learning models into their existing security operations, all within the session itself.
Learn to use AI tools for automated threat detection, intelligent alert triage, and rapid incident response.
No boring theory. Every session includes real tools, real prompts, real workflows, real AI agents, giving you skills you can use the same day.
AI evolves every week. Micro-learning ensures you stay updated with latest tools, frameworks, and use-cases without wasting time on outdated content.
Micro-sessions fit perfectly into your day
In this intensive micro session, cybersecurity professionals will learn how to leverage AI and machine learning to revolutionize threat detection and incident response. The session covers real-time anomaly detection, automated threat hunting, predictive security analytics, and AI-driven incident response orchestration.
Through hands-on labs and live demonstrations, participants will explore how to integrate AI models into Security Operations Centers (SOC), automate alert triage, detect zero-day threats, and build intelligent response playbooks. By the end of the training, participants will have practical experience deploying AI-powered security tools and creating automated workflows that enhance their organization's cyber defense posture. EarlyRise's AI Powered AI in Threat Detection and Incident Response Micro Session Key Features
Detect threats faster with AI-powered analytics
Reduce incident response time by 70%
Automate repetitive security operations
Improve threat prediction and prevention
Build AI-driven security workflows
Enhance SOC efficiency with machine learning
Customized to your team's needs
Key Learning Objective: Understand how AI and machine learning transform modern cybersecurity operations. Learn the difference between supervised, unsupervised, and reinforcement learning in security contexts.
Key Learning Objective: Learn how AI aggregates and analyzes threat intelligence from multiple sources to predict emerging threats.
Key Learning Objective: Build and deploy machine learning models that identify abnormal network behavior, user activity, and system anomalies in real-time.
Key Learning Objective: Implement AI-driven behavioral analytics to detect insider threats, compromised accounts, and privilege escalation attempts.
Key Learning Objective: Master SOAR platforms and learn how to create automated playbooks for common security incidents like phishing, malware, and DDoS attacks.
Key Learning Objective:Use AI algorithms to automatically classify, prioritize, and route security alerts, reducing false positives and analyst fatigue.
Key Learning Objective: Learn to connect AI/ML models with existing SIEM solutions (Splunk, QRadar, Sentinel) for enhanced threat detection and correlation.
Key Learning Objective:
4 Hours
4 Hours
Upon successful completion of the course, participants will receive a certificate from EarlyRise. This certificate is widely recognized and signifies that the holder has acquired specialized skills.
Get In Touch
Our team will be happy to assist you make the right decision
Leading industry professionals who bring current best practices and case studies to sessions that fit into your work schedule.
Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.
This session is ideal for cybersecurity analysts, SOC engineers, security operations managers, incident responders, IT security professionals, and anyone responsible for threat detection and incident response in their organization.
Basic understanding of cybersecurity concepts is recommended, but no prior machine learning or coding experience is required. The session covers practical implementation using existing AI-powered security tools and platforms.
You'll work with industry-leading platforms like SIEM solutions (Splunk, Microsoft Sentinel), SOAR tools, AI-powered threat detection systems, and open-source machine learning frameworks for security.
Yes. The session is 100% practical with live labs, real-world threat scenarios, simulated attacks, and guided exercises using actual security tools and AI platforms.
You'll be able to implement AI-driven threat detection, automate incident response workflows, reduce alert fatigue, improve SOC efficiency, and deploy machine learning models for proactive security operations.
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