⦾ Session overview: Importance of AI in security.
⦾ Threat detection and predictive analytics.
⦾ Automation in incident response.
⦾ Real-world examples.
⦾ Adversarial attacks on AI.
⦾ Bias and flaws in AI models.
⦾ Privacy concerns.
⦾ Secure AI model training and deployment.
⦾ Regular monitoring and updates.
⦾ Ethical considerations and frameworks.
⦾ AI in zero-trust .
⦾ Future of AI-enhanced tools.
⦾ Preparing for AI-driven challenges.
⦾ Open floor for questions.
⦾ Practical application insights.