Training: Leidinggeven aan Security Teams in een tijdperk van Generatieve AI
Cybersecurity
15 uur
Engels (US)

Training: Leidinggeven aan Security Teams in een tijdperk van Generatieve AI

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In deze training leer je alles over leidinggeven aan security teams in een tijdperk van generatieve AI. Je begint deze training met het verbeteren van de online beveiliging door opkomende generatieve AI-technologieën te benutten. Vervolgens leer je over de raakvlakken van generatieve AI met veelvoorkomende beveiligingsrisico's en cyberbeveiligingstoepassingen, ontwikkel je effectieve verdedigingsstrategieën en maak je gebruik van machine learning voor cyberbeveiliging. Door de focus op de bescherming van intellectueel eigendom krijg je inzicht in detectietechnieken, juridische overwegingen en toekomstige trends in de bescherming van intellectueel eigendom. Je verkent ook best practices op het gebied van governance, naleving van regelgeving en de voordelen van AI-auditing om ethisch AI-gebruik te waarborgen.

Inhoud van de training

Leidinggeven aan Security Teams in een tijdperk van Generatieve AI

15 uur

Leading Security Teams for GenAI Solutions: Enhancing Security Posture

Enhancing your security posture is an essential part of protecting yourself against generative artificial intelligence (AI) technologies. Monitoring and leveraging emerging generative AI technologies help organizations stay safe and secure while reducing manual work. In this course, discover why enhancing security posture is important, common security and cyber threats organizations are facing today, and the applications and advantages of using AI in cybersecurity. Next, examine the components of a successful cyberattack defense strategy and how to leverage machine learning (ML) in cybersecurity. Lastly, explore AI cybersecurity considerations and possible future trends of AI in cybersecurity. Upon course completion, you'll recognize how to monitor and utilize emerging generative AI technologies to help improve an organization's overall security posture.

Leading Security Teams for GenAI Solutions: Protecting Intellectual Property

Protecting intellectual property (IP) is an important part of any business. In this course, you will learn the fundamentals of intellectual property including copyright, trademarks, patents, and trade secrets. Discover how to defend against intellectual property infringement in the realm of generative AI, how using generative AI can result in IP infringement, and considerations to have when using generative AI solutions for yourself or your business. Then you will learn how to detect when your intellectual property has been infringed upon, identify risk areas, and determine what detection tools are available. Finally, you will explore legal considerations surrounding intellectual property and AI and investigate future trends of intellectual property in the era of AI. After completing this course, you will be ready to the crucial steps to detect and protect the intellectual property within your organization.

Leading Security Teams for GenAI Solutions: Generative AI Governance

Generative artificial intelligence (AI) creates a variety of concerns in a number of different ways, so we must create governance to regulate these concerns. In this course, you will discover why governance in the realm of generative AI is crucial, how and by whom governance can be achieved, as well as the challenges and opportunities that arise with the use of generative AI. In addition, you will also explore how governments and legal bodies can regulate generative AI, and what regulations are already in place in the public sector. Then you will examine AI governance best practices, including engaging stakeholders, managing AI models, and building internal governance structures. Next, you will investigate the benefits of AI auditing and monitoring. Finally, you will learn how to implement a governance approach that includes user education, data and AI risk management, and regulatory compliance.

Leading Security Teams for GenAI Solutions: Use of Generative AI

When using generative artificial intelligence (AI) content within your business, you need to know how to leverage it safely and effectively. In this course, you will learn about techniques used to identify AI-generated content and how to avoid possible misinformation that it can produce. You will investigate deepfakes and learn how to detect them. You will discover how to provide proper attribution when using generative AI content and how to avoid having any copyright issues. Next, you will explore industry use cases for generative AI, and more specifically, discover common use cases for boosting cybersecurity using generative AI. Then you will examine stakeholder considerations and possible generative AI challenges. Finally, you will focus on security protections, security risks, and mitigating risks associated with generative AI. Upon course completion you will be able to confidently take steps to secure your organization when using generative AI solutions.

Leading Security Teams for GenAI Solutions: Security Implications

The introduction of generative AI has created security, privacy, ethical, and moral implications for everyone involved. In this course, you will learn how and why generative AI is being used in security attacks, how to put countermeasures in place to defend against these attacks, and how to navigate and mitigate those attacks from happening. You will also explore the ethical and moral concerns that generative AI has created, how privacy plays a role in those concerns, and how to manage those risks. Then you will discover how generative AI can be leveraged by threat actors to perform data breaches, create malware threats, and coordinate social engineering attacks. Next, you will investigate how generative AI can be used maliciously to perform model manipulation and data poisoning. Finally, you will examine how to enhance protection controls using processes, governance, and ethics, and focus on common considerations for securing AI systems.

Final Exam: Generative AI Security Considerations

Final Exam: Generative AI Security Considerations will test your knowledge and application of the topics presented throughout the Generative AI Security Considerations track.

Kenmerken

Docent inbegrepen
Bereidt voor op officieel examen
Engels (US)
15 uur
Cybersecurity
180 dagen online toegang
HBO

Meer informatie

Doelgroep Manager, Teamleider
Voorkennis

Geen voorkennis vereist. Ervaring in het vakgebied is een pré.

Resultaat

Na afronding van deze training weet je hoe je opkomende generatieve AI-technologieën kunt monitoren en gebruiken om de algehele beveiliging van jouw organisatie te helpen verbeteren.

Positieve reacties van cursisten

Training: Leidinggeven aan de AI transformatie

Nuttige training. Het bestelproces verliep vlot, ik kon direct beginnen.

- Mike van Manen

Onbeperkt Leren Abonnement

Onbeperkt Leren aangeschaft omdat je veel waar voor je geld krijgt. Ik gebruik het nog maar kort, maar eerste indruk is goed.

- Floor van Dijk

Hoe gaat het te werk?

1

Training bestellen

Nadat je de training hebt besteld krijg je bevestiging per e-mail.

2

Toegang leerplatform

In de e-mail staat een link waarmee je toegang krijgt tot ons leerplatform.

3

Direct beginnen

Je kunt direct van start. Studeer vanaf nu waar en wanneer jij wilt.

4

Training afronden

Rond de training succesvol af en ontvang van ons een certificaat!

Veelgestelde vragen

Veelgestelde vragen

Op welke manieren kan ik betalen?

Je kunt bij ons betalen met iDEAL, PayPal, Creditcard, Bancontact en op factuur. Betaal je op factuur, dan kun je met de training starten zodra de betaling binnen is.

Hoe lang heb ik toegang tot de training?

Dit verschilt per training, maar meestal 180 dagen. Je kunt dit vinden onder het kopje ‘Kenmerken’.

Waar kan ik terecht als ik vragen heb?

Je kunt onze Learning & Development collega’s tijdens kantoortijden altijd bereiken via support@aitrainingscentrum.nl of telefonisch via 026-8402941.

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