Speakers
Synopsis
AI-Driven Cybersecurity Defense and Offense
Topic 1: Introduction
- Title: AI-Driven Cybersecurity Defense and Offense
- Subtitle: Exploring the Role of Artificial Intelligence in Securing Digital Environments
- Objective: To understand the impact of AI on both defensive and offensive cybersecurity strategies.
Topic 2: Overview of AI in Cybersecurity
- Definition of AI in Cybersecurity
- Importance of AI in Cybersecurity
- Evolution of AI in Cybersecurity
Topic 3: AI in Cybersecurity Defense
- Detection: How AI is Used for Threat Detection
- Prevention: AI-Based Intrusion Prevention Systems (IPS)
- Response: AI-Powered Incident Response and Remediation
- Case Study: Real-world Examples of AI in Cyber Defense
Topic 4: AI in Cybersecurity Offense
- Malware Development: AI-Generated Malware
- Phishing Attacks: AI-Assisted Social Engineering Attacks
- Automated Exploitation: AI-Driven Vulnerability Exploitation
- Case Study: Notable Instances of AI-Driven Cyber Attacks
Topic 5: Challenges and Limitations
- Data Quality and Bias
- Adversarial Attacks Against AI Systems
- Scalability and Resource Requirements
- Regulatory and Ethical Considerations
Topic 6: Future Trends and Opportunities
- Advancements in AI-Driven Cybersecurity Technologies
- Integration of AI with Other Emerging Technologies (e.g., Blockchain, IoT)
- Collaboration Between AI Researchers and Cybersecurity Professionals
Topic 7: Recommendations for Organizations
- Investing in AI-Driven Cybersecurity Solutions
- Building AI-Ready Cybersecurity Teams
- Establishing Ethical Guidelines for AI Use in Cybersecurity
Topic 8: Conclusion
- Recap of Key Points
- Importance of AI in the Future of Cybersecurity
- Call to Action: Embrace AI for Effective Cybersecurity Defense and Mitigation of Offense
Topic 9: Q&A
- Open the floor for questions and discussions.
Topic 10: Thank You
- Acknowledge the audience for their participation.
- Contact Information for Further Inquiries.
