Automate Cyber Defense with GenAI: Building and Deploying AI-Driven Solutions

In the rapidly evolving field of cybersecurity, automating workflows with generative AI offers a transformative approach to defending your organization against potentially devastating threats. In this course for security practitioners, instructor Laurentiu Gabriel Raducu provides a comprehensive overview of ways to build and deploy AI-driven solutions for real-time threat detection, automated vulnerability scanning, and streamlined incident management.

Learning objectives
Analyze the role of generative AI in enhancing threat intelligence processes, including gathering, analyzing, and acting upon threat data to improve the efficiency and effectiveness of threat detection and response.
Construct AI-powered systems for vulnerability detection and management, leveraging generative AI to identify and mitigate software vulnerabilities, enhancing the ability to protect systems against potential exploits.
Develop automated incident response strategies using generative AI, including the creation of AI-driven incident response playbooks and processes to streamline incident detection, triage, and resolution, improving overall security posture.
Integrate generative AI with existing cybersecurity tools and workflows, such as SIEM systems and security orchestration, to seamlessly automate and optimize cybersecurity operations.
Evaluate the ethical considerations and potential implications of utilizing generative AI for cybersecurity, ensuring responsible and effective implementation of these technologies.