Hands-on AI Security | Essentials, Threat Detection, Vulnerabilities, Forensics, Incident Response & Future Trends.

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.

Who Should Attend?

This intermediate-level course is a fit for experienced cybersecurity professionals, system administrators, developers and IT managers seeking to enhance their understanding of artificial intelligence in the context of security. Individuals in roles responsible for threat analysis, incident response, and system defense will find the course particularly beneficial.

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We can host this training at your preferred location.

Prerequisites

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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What You Will Learn

Throughout the course you’ll:

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.

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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 (2:30 - 4:00)
- 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

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Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Mastering AI Security Boot Camp Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

Mastering AI Security Boot Camp Training in Finland

Who Should Attend?

Prerequisites

What You Will Learn

Outline

Avaible Training Dates