Opleiding: Securing AI

Securing AI.

The Securing AI E-Learning Training is designed for cybersecurity professionals, AI practitioners, developers, and technical specialists who need to protect Artificial Intelligence and Large Language Model (LLM) applications against modern security threats.

This comprehensive training begins with the fundamentals of LLM security and threat modeling, including risks aligned with the OWASP Top 10 for LLM Applications. You'll learn how attackers exploit AI applications through prompt-based attacks and adversarial techniques, while developing practical strategies for identifying vulnerabilities and implementing effective mitigations.

The curriculum extends beyond application-level security to address the protection of data, AI models, infrastructure, and AI supply chains. You'll also explore secure deployment practices, API security, defense-in-depth architectures, and security tools that help protect AI systems throughout their development lifecycle.

AI governance forms another important part of the training, covering ethics, compliance, risk management, and the relationship between cybersecurity and responsible AI.

Advanced threats, emerging AI security trends, and a capstone project guide complete the learning experience, preparing you to design and manage secure, resilient, and trustworthy AI systems.

Deze LearningKit met meer dan 6 leeruren is verdeeld in drie sporen:

Cursusinhoud

Securing AI: LLM Threat Modeling & OWASP Alignment

Course: 49 Minutes

• Course Overview
• The LLM Threat Landscape and Adversarial Risks
• OWASP LLM Top 10 Risk Categories
• Threat Modeling Frameworks
• Knowledge Check: Understanding LLM Threats and Risk Modeling
• Traditional Threats Within an LLM Context
• The CIA Triad and Generative AI
• Conducting LLM Threat Modeling
• Knowledge Check: Applying Traditional Threat Principles to LLMs
• Course Summary

Securing AI: Introduction to LLM Security

Course: 43 Minutes

• Course Overview
• Generative AI and LLM Fundamentals
• Historical AI Security Incidents
• Enterprise Relevance of LLM Security
• Knowledge Check: Exploring LLM Security Foundations and Enterprise Risk
• LLM Terminology and Key Concept
• Agentic AI and Tool Calling Risks
• Exploring LLM Behavior and Risk Awareness
• Knowledge Check: Examining LLM Behavior and Agentic AI Risk Essentials
• Course Summar

Securing AI: Prompt-Based Attacks and Mitigations

Course: 43 Minutes

• Course Overview
• Direct Prompt Injection
• Indirect Prompt Injection
• Defensive Prompt Engineering
• Knowledge Check: Securing LLMs: Prompt Injection and Defense Strategies
• Input Pre-Filtering and Sanitization
• Real-World Attack Case Studies
• Simulating and Defending Against Prompt Attacks
• Knowledge Check: Defending LLMs: Input Pre-Filtering and Attack Analysis
• Course Summary

Securing AI: Data, Model, & Infrastructure Security

Course: 48 Minutes

• Course Overview
• Data Poisoning Risks
• Model Theft and IP Protection
• Sensitive Information Leakage
• Supply Chain and Third-Party Risks
• Knowledge Check: Securing the AI Stack: Data, Models, and Third Parties
• Threat Mitigation Frameworks
• Dataset Lineage, Consent, and Data Residency
• Model Registry and Artifact Integrity
• Detecting Poisoned Data and Using a Model Registry
• Knowledge Check: Managing AI Risk: Lineage, Registries, and Detection
• Course Summary

Securing AI: Secure Deployment & API Security

Course: 47 Minutes

• Course Overview
• Secure Deployment Practices
• API Security for LLMs
• Downstream System Safety
• Knowledge Check: Reviewing Security Practices for AI Deployments and LLMs
• RAG and Multi-Tool Security
• Secure AI SDLC and CI/CD
• Configuring Secure Deployments
• Knowledge Check: Building Secure RAG Pipelines: Logging and CI/CD
• Course Summary

Securing AI: AI Governance, Ethics, & Compliance

Course: 54 Minutes

• Course Overview
• Responsible AI Principles
• Regulatory Compliance Affecting AI Systems
• AI Governance Frameworks
• AI Bias Detection and Mitigation
• Knowledge Check: Reviewing Responsible AI Policy, Governance, and Fairness
• Transparency and Reporting in AI Systems
• AI Ownership, Oversight, and Shutdown Authority
• Mapping Internal AI Policy to External Standards
• Performing a Governance Framework Review
• Knowledge Check: Assessing AI Governance Ownership, Reporting, and Mapping
• Course Summary

Securing AI: Defense-in-Depth Strategies & Security Tools

Course: 55 Minutes

• Course Overview
• Defense-in-Depth Architecture
• Monitoring and Anomaly Detection
• Red Teaming LLMs
• AI Security Tool Evaluation
• Knowledge Check: Reviewing Layered AI Security: Monitor, Test, and Evaluate
• Continuous Improvement Practices
• AI Incident Response and Abuse Handling
• Balancing Security and Velocity
• Implementing Monitoring and Incident Response
• Knowledge Check: Assessing AI Security Response, Monitoring, and Balance
• Course Summary

Securing AI: Advanced Threats, Future Trends, & Capstone Project Guide

Course: 29 Minutes

• Course Overview
• Emerging Threats and LLM Trends
• Advanced Defensive Techniques for AI Security
• Knowledge Check: Applying Advanced Defenses to LLM Threats
• Capstone Project Guidance
• AI Security: Case Study Analysis
• Knowledge Check: Building a Secure RAG Assistant: Capstone Guide
• Course Summary

Assessment:

• Final Exam: Agentic AI - Foundations, Architectures, and Frameworks

Specificaties
Taal: Engels
Kwalificaties van de Instructeur: Gecertificeerd
Cursusformaat en Lengte: Lesvideo's met ondertiteling, interactieve elementen en opdrachten en testen
Lesduur: 6:08 uur
Assesments: De assessment test uw kennis en toepassingsvaardigheden van de onderwerpen uit het leertraject. Deze is 365 dagen beschikbaar na activering.
Online Virtuele labs: Ontvang 12 maanden toegang tot virtuele labs die overeenkomen met de traditionele cursusconfiguratie. Actief voor 365 dagen na activering, beschikbaarheid varieert per Training.
Online mentor: U heeft 24/7 toegang tot een online mentor voor al uw specifieke technische vragen over het studieonderwerp. De online mentor is 365 dagen beschikbaar na activering, afhankelijk van de gekozen Learning Kit.
Voortgangsbewaking: Ja
Toegang tot Materiaal: 365 dagen
Technische Vereisten: Computer of mobiel apparaat, Stabiele internetverbindingen Webbrowserzoals Chrome, Firefox, Safari of Edge.
Support of Ondersteuning: Helpdesk en online kennisbank 24/7
Certificering: Certificaat van deelname in PDF formaat
Prijs en Kosten: Cursusprijs zonder extra kosten
Annuleringsbeleid en Geld-Terug-Garantie: Wij beoordelen dit per situatie
Award Winning E-learning: Ja

Tip! Zorg voor een rustige leeromgeving, tijd en motivatie, audioapparatuur zoals een koptelefoon of luidsprekers voor audio, accountinformatie zoals inloggegevens voor toegang tot het e-learning platform.