AI-Based Dark Web Analyst
Illuminate the Dark Web: Use AI to Detect Threats, Analyze Patterns, and Secure the Digital World
About This Course
The dark web is a growing hub for illicit trade, cybercrime forums, and data breaches. Traditional monitoring methods are ineffective in this anonymous and encrypted domain. This workshop introduces participants to AI-powered techniques for scraping, classifying, and analyzing dark web content—from forums to marketplaces and hidden services.
Topics include natural language processing (NLP), threat pattern recognition, data mining, darknet search engines, and ML-based risk scoring. Participants will explore how to build detection models, visualize cyber threat trends, and integrate findings into threat intelligence systems.
Aim
To equip participants with the skills and tools needed to use Artificial Intelligence (AI) for monitoring, analyzing, and generating actionable intelligence from dark web sources, enhancing cybersecurity, threat detection, and digital forensics capabilities.
Workshop Objectives
- Introduce foundational knowledge of the dark web ecosystem
- Train participants in AI and NLP tools for darknet surveillance
- Encourage ethical, responsible use of AI in cyber intelligence
- Enable real-time threat detection and forensic capabilities
- Bridge cybersecurity and AI skill sets for advanced protection systems
Workshop Structure
Day 1: Introduction to Dark Web & AI in Cyber Intelligence
🧠 Topics:
- Surface, Deep & Dark Web: Differences and Myths
- Use of Tor, I2P, and Freenet
- Dark Web Marketplaces, Forums, and Crypto Use
- Introduction to AI/ML in Cybersecurity
- Types of AI used in dark web monitoring (NLP, anomaly detection, image recognition)
🛠️ Tools/Activity:
- Live demo: Tor Browser navigation (safe content)
- Overview of AI pipeline for threat intelligence
- Group discussion: Dark web ethics and legal considerations
Day 2: OSINT & Data Mining from Dark Web
🧠 Topics:
- What is OSINT? Applications in dark web intel
- Web scraping techniques (Python + BeautifulSoup / Scrapy)
- Use of AI for content classification
- Introduction to Maltego, Spiderfoot
🛠️ Tools/Activity:
- Practical: Extracting data from onion sites (using simulation environment)
- Scraping and structuring content
- Lab: Classifying forum posts using pre-trained NLP model (HuggingFace/BERT)
Day 3: AI-Powered Threat Detection and Monitoring
🧠 Topics:
- Sentiment Analysis, Keyword Extraction from forums/chats
- Entity Recognition (products, people, locations)
- AI models for anomaly detection (e.g., drug trade, malware sales)
- Introduction to Dark Web Monitoring Platforms (DarkOwl, DarkSearch, IntSights)
🛠️ Tools/Activity:
- Lab: Use Python to detect malicious intent using sentiment classifier
- Visualize network of actors using Gephi/Maltego
- Demo: Alert generation using keyword + AI classifier
Day 4: Case Study & Mini Project
🧠 Topics:
Real-world cases: Ransomware, Human Trafficking, Fake Passport Networks
Project walkthrough: AI pipeline for real-time dark web alerting
- Ethical AI and bias issues in dark web monitoring
Career paths: Threat Intel Analyst, SOC Analyst, OSINT Investigator
Project/Activity:
- Mini Project: Build a Dark Web Alert System using scraped data + AI model
- Team presentation on case study: Choose one dark web threat area and outline how AI could detect it
Who Should Enrol?
- Cybersecurity professionals and SOC analysts
- AI/ML engineers in security and fraud detection
- Law enforcement and digital forensics officers
- Risk and compliance managers in financial institutions
- Graduate students in cyber intelligence, AI, or information security
Important Dates
Registration Ends
08/17/2025
IST 8 PM
Workshop Dates
08/17/2025 – 08/22/2025
IST 9 PM ( Indian Standerd Time )
Workshop Outcomes
- Understand how the dark web operates and hosts criminal activity
- Use AI and NLP to extract meaningful threat signals
- Build classifiers and dashboards for dark web surveillance
- Learn to integrate darknet intelligence into broader threat response systems
- Receive a certificate in AI-Based Dark Web Threat Intelligence
Fee Structure
Student Fee
₹2599 | $65
Ph.D. Scholar / Researcher Fee
₹3599 | $75
Academician / Faculty Fee
₹4599 | $95
Industry Professional Fee
₹6999 | $115
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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