AI & Cybersecurity: Threats, Opportunities, and Securing the Future

An Exclusive, Three-Hour Gabelli School Cybersecurity Workshop (GSCW) at
ICCS 2025

As cyber threats become more advanced and relentless, the need for intelligent, adaptive defenses has never been more urgent. This exclusive three-hour workshop—AI & Cybersecurity: Threats, Opportunities, and Securing the Future—offers a unique opportunity to explore how Artificial Intelligence is revolutionizing modern cybersecurity.

Led by expert faculty and distinguished alumni from Fordham University, this session is designed for government officials, executive leaders, law enforcement professionals, educators, and cybersecurity practitioners seeking to stay ahead of rapidly evolving cyber risks.

You’ll gain a strategic understanding of how AI and machine learning power next-generation defenses, witness live demonstrations of AI-driven threat detection in action, and take part in hands-on labs focused on securing AI systems from emerging threats.

Discover how adversaries are now targeting AI itself—through data poisoning, adversarial machine learning, and prompt injection attacks—and learn how to defend against these cutting-edge techniques. The Secure AI segment of the workshop will give you the tools and insights needed to harden your AI systems and ensure they remain reliable, ethical, and secure.

Seats are limited—don’t miss this dynamic learning experience at ICCS 2025, hosted by Fordham University’s Gabelli School of Business and the FBI.

Speakers

Agenda

Part 1: Introduction to AI and Cybersecurity (45 min)

The Cybersecurity Landscape Today (10 min)

• Escalating cyber threats and the need for advanced defenses
• Limitations of traditional cybersecurity approaches

What is AI? (15 min)

• Core concepts: Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP)
• AI’s ability to process data, detect patterns, and automate responses

AI Governance & Ethical Considerations (10 min)

• Bias, fairness, and transparency challenges in AI-driven cybersecurity
• Ethical dilemmas in automated decision-making

The Intersection of AI and Cybersecurity (10 min)

• Why AI is a critical enabler for modern cybersecurity?
  • Example: CrowdStrike IDS detection for
    
    

Part 2: AI for Cybersecurity (70 min)

AI-Driven Threat Detection

• AI-powered malware analysis, anomaly detection, and behavioral analytics
• Case study: AI in intrusion detection and endpoint security

Automation and Incident Response

• How AI accelerates threat triage, incident containment, and SOC automation
• Benefits and limitations of AI-driven decision-making in cyber defense

Code-Based Threat Identification (Live Demonstration- Optional)

• Using AI models to analyze code for security vulnerabilities
• Demonstrating AI static and dynamic analysis for threat detection
• Case study: CNN for malware detection 

AI for Risk Assessment and Fraud Prevention

• AI’s ability to predict security gaps and assess vulnerabilities
• AI’s role in detecting fraud patterns in financial transactions

Part 3: Secure AI (65 min)

Adversarial AI & Attack Vectors

• How attackers manipulate AI models (e.g., adversarial samples, poisoning attacks)
• Case study: Real-world attacks on AI-based security solutions

Securing AI Models and Data

• Protecting AI models from tampering, model inversion, and data poisoning
• Compliance frameworks for AI security

Prompt Engineering & Ethical Hacking Using Large Language Models (Live Demonstration)

• How attackers exploit AI using prompt engineering to manipulate LLM outputs
• Live demonstration of prompt injection attacks and security bypass techniques
• Defensive strategies: Fine-tuning, content filtering, and secure deployment of AI models