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Mastering AI Security Bootcamp
Description
Mastering AI Security Bootcamp Introduction
Mastering AI Security Bootcamp is a three-day course designed for technical users, including cybersecurity professionals, system administrators, developers, and IT managers.
This course dives into the intersection of artificial intelligence and cybersecurity, offering insights on how AI transforms the cybersecurity landscape.
You will learn to tackle security issues, formulate defense strategies, and strengthen your organization’s security stance through AI.
Under the guidance of our AI security expert, you’ll explore various aspects of AI in cybersecurity, including AI threats and vulnerabilities, defense mechanisms, forensics, incident response for AI systems, and future trends in AI security.
Acquire skills in predicting and understanding emerging threats, identifying weaknesses in AI systems, and handling security incidents effectively.
Mastering AI Security Bootcamp Objectives
Upon completion, you will:
- Gain a robust understanding of AI in cybersecurity.
- Learn to identify AI threats and vulnerabilities.
- Acquire knowledge to design AI defense mechanisms.
- Dive into AI forensics and incident response.
- Stay updated on future trends in AI security.
Prerequisites
- Foundational understanding of AI.
- Familiarity with basic cybersecurity principles.
- Basic Python programming skills.
- Basic knowledge of computer networks and data analysis.
Audience
This course is suitable for:
- Experienced Cybersecurity Professionals
- System Administrators
- Developers
- IT Managers
Mastering AI Security Bootcamp Outline
Introduction to AI in Security
- Understand the role of AI in the field of cybersecurity and the evolution of threats.
- The basics of AI and its relevance to security
- Cybersecurity landscape: traditional threats vs. AI-enabled threats
- Real-world examples of AI in security
- Understanding the role of AI in Threat Intelligence
- Lab: Simulating AI-driven threat analysis using open-source threat intelligence tools
Playing Detective: Identifying AI Threats and Vulnerabilities
- Grasp the inherent threats and vulnerabilities of AI systems
- Understanding the different types of AI threats
- Learning about common AI vulnerabilities
- Exploring case studies of major AI-based security breaches
- AI and data privacy concerns
- Lab: Identifying vulnerabilities in an AI system
- Tools Used in Lab: Python, Scikit-learn, OWASP Dependency-Check
Building the AI Fortress: Defense Mechanisms 101
- Gain knowledge on how to safeguard AI systems from security threats.
- Importance of AI Security Measures
- Learning about AI Defense Mechanisms
- AI in intrusion detection and prevention systems
- AI in risk assessment and vulnerability management
- Lab: Designing a basic AI-driven Intrusion Detection System
CSI Cyber: A Foray into AI Forensics
- Understand how forensic techniques are applied in AI security.
- The role of forensics in AI Security
- Basics of AI Forensic Analysis
- Case studies of forensic analysis in AI security incidents
- AI in forensic data analysis
- Lab: Conducting a simple forensic analysis on an AI system
Crisis Averted: Crafting Your AI Incident Response Plan
- Learn how to respond to incidents in AI systems effectively.
- Basics of Incident Response (IR) in AI systems
- AI in IR: Automated and adaptive response
- Designing an incident response plan for AI systems
- Lab: Creating a mock incident response plan for an AI system
What’s Next? Preparing for Future AI Security Challenges
- Get insights into the future trends of AI in cybersecurity.
- Future threats: Deepfakes, autonomous weapons, etc.
- AI in quantum computing security
- AI-driven Security Orchestration, Automation, and Response (SOAR)
- The role of AI in zero-trust architectures
- Lab: Simulating the detection of a deepfake
Course Wrap
- Next steps in becoming an AI Security Expert
$2495.00
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3 Days Course |