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Home >Courses >AI-Powered Cyber Threat Intelligence: Dark Web Analysis & Proactive Defense

08/17/2025

Registration closes 08/17/2025
Virtual Workshop

AI-Powered Cyber Threat Intelligence: Dark Web Analysis & Proactive Defense

Unlock the Power of AI to Detect, Analyze, and Defend Against Cyber Threats

  • Mode: Virtual / Online
  • Type: Mentor Based
  • Level: Advanced
  • Duration: 6 Days
  • Starts: 17 August 2025
  • Time: 9 PM ( Indian Standerd Time ) IST

About This Course

This 6-day workshop offers a comprehensive, hands-on learning experience in AI-powered Cyber Threat Intelligence (CTI). Participants will gain in-depth knowledge of advanced techniques for analyzing the Dark Web, detecting threats using AI, and developing proactive defense strategies. The workshop blends theory with practical labs, focusing on real-world applications like threat detection, risk mitigation, and integrating CTI into security operations. By the end, participants will be equipped to anticipate, detect, and counteract cyber threats effectively, leveraging cutting-edge AI tools and frameworks.

Aim

To equip participants with advanced skills in AI-driven Cyber Threat Intelligence, enabling them to effectively analyze Dark Web data, detect emerging threats, and implement proactive defense strategies to safeguard digital infrastructures from cyber adversaries.

Workshop Structure

Day 1: Introduction to Cyber Threat Intelligence (CTI) and Threat Actors

  • Overview of CTI, its lifecycle, and types of intelligence

  • Understanding threat actors and attack vectors (phishing, malware, APTs)

  • OSINT tools: WHOIS, Shodan, Maltego

Day 2: Collection and Processing of Threat Data

  • Sources: Open-source, closed-source, and internal data

  • Data collection techniques: Passive vs active, legal and ethical considerations

  • Using tools like MISP and ThreatConnect for IOC analysis

Day 3: Advanced Threat Analysis and Attribution

  • Techniques for anomaly detection, pattern recognition, and correlation

  • Malware analysis for CTI: Static vs dynamic

  • Threat attribution and case studies (APT29, Lazarus Group)

Day 4: AI-Powered Threat Detection and Monitoring

  • Introduction to AI/ML applications in CTI

  • Building and applying threat detection models

  • Practical lab: Using AI for real-time threat monitoring

Day 5: Operational Integration and Threat Intelligence Sharing

  • Integrating CTI into SIEM and SOAR platforms

  • Automating threat detection and response

  • Sharing intelligence: ISACs, STIX/TAXII standards

Day 6: Capstone Project and Final Exercise

  • Simulated cyber incident scenario

  • Collecting and analyzing threat intelligence

  • Creating actionable intelligence reports and recommendations

Who Should Enrol?

This workshop is ideal for:

Security Analysts, SOC Engineers, and Incident Responders looking to enhance CTI skills.

Network/Security Administrators transitioning into CTI.

Risk and Compliance Officers seeking advanced threat intelligence knowledge.

AI/ML Engineers or Data Scientists interested in cybersecurity applications.

Graduate Students or Professionals in Cybersecurity, AI, or Information Security.

Pre-requisites: Basic understanding of cybersecurity principles and a willingness to learn AI techniques.

Important Dates

Registration Ends

08/17/2025
IST 8 PM

Workshop Dates

08/17/2025 – 08/22/2025
IST 9 PM ( Indian Standerd Time )

Fee Structure

Student Fee

₹2999 | $95

Ph.D. Scholar / Researcher Fee

₹3999 | $115

Academician / Faculty Fee

₹5999 | $135

Industry Professional Fee

₹9999 | $225

Student Fee

₹ | $

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

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As I mentioned earlier, the mentor’s English was difficult to understand, which made it challenging to follow the training. A possible solution would be to provide participants with a PDF version of the presentation so we could refer to it after the session. Additionally, the mentor never turned on her camera, did not respond to questions, and there was no Q&A session. These factors significantly reduced the quality and effectiveness of the training.

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