Held on 28th & 29th April 2025

Venue: D Block Seminar Hall

Objective:
To mentor students and explore the integration of Artificial Intelligence (AI) in cybersecurity—focusing on building intelligent systems that can detect, prevent, and respond to cyber threats. The goal was to promote a secure and resilient digital future through the use of advanced technologies.

Event Summary:
A two-day workshop on Cybersecurity and AI Integration was successfully conducted for B.Tech 2nd-year IT students, featuring Mr. P. V. N. Raghavendra, CEO & Founder of Synthoquest Private Limited, as the esteemed resource person.

Day 1 Highlights:

The first day covered a blend of fundamental and advanced cybersecurity concepts:

• Importance of Cybersecurity
• Cyber Kill Chain Model
• CIA Triad (Confidentiality, Integrity, Availability)
• Cyber Laws & Key Certifications (CEH, CISSP, Security+)
• Career Opportunities in Cybersecurity
• Web Application Security & OWASP Top 10 Vulnerabilities
• CVSS Scoring, Bug Hunting & Vulnerability Reporting

Day 2 Highlights:

The second day focused on practical tools and real-world simulations:

• Security Operations Center (SOC) Roles
• SIEM Tools: Splunk & QRadar
• Log Analysis Techniques
• Live Demonstrations: Email Spoofing, Phishing, and Brute-Force Attacks
• Hands-on Practice: Steganography, Cryptography, Automotive Security
• Discussion on the Future of AI in Cybersecurity

The workshop concluded with interactive sessions showcasing how AI is transforming cybersecurity through threat detection and automation.

Participation:

• Students: 50
• Faculty: 8

Key Takeaways:

Participants gained:

• A solid foundation in cybersecurity principles
• Practical knowledge on secure application development
• Insights into how AI is reshaping cybersecurity strategies

Benefits of AI in Cybersecurity:

• Enhanced Threat Detection: Real-time analysis of large datasets to detect anomalies and threats faster.
• Automated Incident Response: Streamlined threat mitigation with reduced manual effort.
• Predictive Analytics: Proactive threat prevention through data-driven predictions.
• Advanced Malware Analysis: Behavior-based detection of new and unknown malware.

This workshop not only empowered students with technical knowledge but also opened new avenues for academic and professional growth in the evolving world of cybersecurity and AI.