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.