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Home > Professional Development Skills > Artificial Intelligence > Mastering AI Security Boot Camp
The Mastering AI Security Boot Camp, a three-day course geared for technical users keen to explore the intersection of artificial intelligence and cybersecurity.
The Mastering AI Security Boot Camp, a three-day course geared for technical users keen to explore the intersection of artificial intelligence and cybersecurity. With AI transforming the cybersecurity landscape, a deep understanding of AI in security can enhance your efficiency in tackling security issues, formulating defense strategies, and fortifying your organization's security stance. Whether you're tackling security issues, designing advanced defense mechanisms, or simply looking to stay ahead of the curve, these skills can streamline your daily tasks and significantly contribute to your organization's security posture.Working in a hands-on learning environment guided by our AI security expert, you’ll explore AI in cybersecurity, AI threats and vulnerabilities, defense mechanisms, forensics, incident response for AI systems, and future trends in AI security. You’ll gain an understanding of AI's role in security and threat intelligence, enabling you to better predict and understand emerging threats, resulting in proactive rather than reactive defense strategies. You’ll also learn about AI vulnerabilities and their mitigation. Identifying potential weaknesses in AI systems allows for more robust security measures, reducing the risk of breaches. You’ll also master incident response for AI systems. Handling security incidents effectively can drastically reduce the potential damage caused by breaches, ensuring business continuity.The hands-on labs are designed to provide real-world scenarios that simulate challenges faced in the field. You will be analyzing AI-driven threats, identifying vulnerabilities in AI systems, designing an AI-driven Intrusion Detection System, conducting a basic AI forensic analysis, and developing an incident response plan for an AI system. Tools and skills used in the class include Python, Scikit-learn and open-source threat intelligence platforms. Upon completing the course you’ll be well equipped to understand and mitigate AI threats, design and implement AI defense systems, and effectively respond to incidents in AI systems.
Category
ID
Duration
Level
Price
Artificial Intelligence
13838
3 Day(s)
Intermediate
$2,775.00
Objectives
Lesson objectives help you become comfortable with the course, and also provide a means to evaluate learning. In the Mastering AI Security Boot Camp training course, you will learn to:· Gain a clear understanding of AI and its integral role in the realm of cybersecurity, providing a solid foundation for the rest of the course.· Learn to identify and understand various types of AI threats and vulnerabilities, improving your ability to predict and mitigate potential risks.· Acquire the knowledge to design and implement robust AI defense mechanisms and AI Driven Intrusion Systems (IDS), equipping you to safeguard your systems effectively.· Delve into the fascinating world of AI forensics and learn how to conduct basic forensic analyses on AI systems.· Master the art of creating and executing incident response plans for AI systems, a vital skill for any security professional.· Learn specific techniques to detect deepfakes and understand their potential security implications, equipping you to counter one of the emerging threats in the AI security landscape.· Get hands-on experience with innovative open-source tools such as Python, Scikit-learn, and Suricata IDS, enhancing your ability to use these tools effectively in AI security.· Get insights into future trends in AI security, ensuring that you're well-prepared for what's around the corner in this rapidly evolving field.
1. Introduction to AI in Securityo Understand the role of AI in the field of cybersecurity and the evolution of threats.o The basics of AI and its relevance to securityo Cybersecurity landscape: traditional threats vs. AI-enabled threatso Real world examples of AI in securityo Understanding the role of AI in Threat Intelligenceo Lab: Simulating AI-driven threat analysis using open-source threat intelligence tools2. Playing Detective: Identifying AI Threats and Vulnerabilitieso Grasp the inherent threats and vulnerabilities of AI systemso Understanding the different types of AI threatso Learning about common AI vulnerabilitieso Exploring case studies of major AI-based security breacheso AI and data privacy concernso Lab: Identifying vulnerabilities in an AI system (2:30 - 4:00)o Tools Used in Lab: Python, Scikit-learn, OWASP Dependency-Check3. Building the AI Fortress: Defense Mechanisms 101o Gain knowledge on how to safeguard AI systems from security threats.o Importance of AI Security Measureso Learning about AI Defense Mechanismso AI in intrusion detection and prevention systemso AI in risk assessment and vulnerability managemento Lab: Designing a basic AI-driven Intrusion Detection System4. CSI Cyber: A Foray into AI Forensicso Understand how forensic techniques are applied in AI security.o The role of forensics in AI Securityo Basics of AI Forensic Analysiso Case studies of forensic analysis in AI security incidentso AI in forensic data analysiso Lab: Conducting a simple forensic analysis on an AI system
5. Crisis Averted: Crafting Your AI Incident Response Plano Learn how to respond to incidents in AI systems effectively.o Basics of Incident Response (IR) in AI systemso AI in IR: Automated and adaptive responseo Designing an incident response plan for AI systemso Lab: Creating a mock incident response plan for an AI system6. What's Next? Preparing for Future AI Security Challengeso Get insights into the future trends of AI in cybersecurity.o Future threats: Deepfakes, autonomous weapons, etc.o AI in quantum computing securityo AI-driven Security Orchestration, Automation, and Response (SOAR)o The role of AI in zero-trust architectureso Lab: Simulating the detection of a deepfakeCourse Wrap· Next steps in becoming an AI Security Expert
Questions?
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To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills:· A foundational understanding of artificial intelligence, including the basic principles, applications, and types of AI.· Familiarity with basic cybersecurity principles, understanding of threats, defense mechanisms, and incident response.· Basic Python programming skills and / or a general comfort with coding· Basic knowledge of computer networks, systems, and how they interact· Some basic experience in data analysis or basic statistical concepts.
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