Outline:
1. Introduction to AI in Cybersecurity
2. Enhanced Threat Detection and Response
- Case Study: IBM's Threat Detection and Response service
- Case Study: Darktrace's machine learning technology
3. The Progression of Adversarial AI
- Case Study: DeepArmor's endpoint protection platform
4. AI-Enhanced Authentication
- Case Study: BioCatch's behavioral biometrics
5. AI-Powered Automated Response
- Case Study: Rapid7's InsightIDR
6. Democratization of AI Security Solutions
- Case Study: Akto's API Discovery and scanning
7. Discussion on adversarial AI tactics and countermeasures
8. Conclusion and Future Predictions

Sources of Information:

1. MarketsandMarkets Report on AI in Cybersecurity
2. Capgemini Research Institute Survey
3. Case studies from IBM, Darktrace, DeepArmor, BioCatch, Rapid7, and Akto
4. Ponemon Institute Study on Data Breaches

Session Format:

This 25-minute session will start with a brief 5-minute introduction to the role of AI in cybersecurity.
I will then dedicate 3 minutes to each of the five key trends, utilizing real-world examples and case studies for a more tangible understanding.
I will discuss the implications each trend has for the cybersecurity landscape.
A concise 2-minute Q&A segment will follow each trend discussion to address immediate questions.
I will conclude with a quick 2-minute summary and a brief discussion on future predictions.