Reviews 5,0
Reviews 5,0
AI+ Security Strategist™
Expert-level AI security enables precise, adaptive defense against complex and evolving cyber threats. Combining technical depth with strategic judgment, this level prepares professionals for the most demanding security environments.
Key topics
- Modeling and assessing risks with AI-driven tools
- Building dynamic protection architectures for complex systems
- Automating security responses through AI-powered workflows
- Designing and implementing zero-trust security models
- Proactive security operations driven by predictive analytics
Prerequisite
Participants should have hands-on experience in cybersecurity and solid knowledge of AI concepts and technical security principles.
Target group
This course is designed for experienced security professionals from IT, data, compliance, and security operations who want to embed AI strategically into their defense architectures.
AI makes security more anticipatory, faster, and more resilient. Level 3 equips professionals with the tools to consistently apply these advantages in real-world environments.
Course content
AI and Machine Learning as a Foundation for Security Technology
- Core principles of AI and ML in security contexts
- Real-world scenarios for AI in modern security environments
- Building and optimizing AI pipelines for security processes
- Limitations and risks of AI adoption in IT security
Threat Detection and Response with Machine Learning
- Feature engineering for security-relevant datasets
- Classifying attacks using supervised learning techniques
- Anomaly detection through unsupervised ML methods
- Building and testing real-time threat detection systems
Deep Learning Applied to Security Scenarios
- Using CNNs to identify and classify threats
- RNNs and LSTMs in security analysis workflows
- Detecting anomalies with autoencoder model architectures
- Attack techniques and countermeasures in adversarial deep learning
Adversarial AI: Attacks and Defense Strategies
- Types and mechanisms of adversarial AI attacks
- Strategies to mitigate and counter adversarial threats
- Red-team approaches for AI security testing
- Strengthening AI system resilience against adversarial manipulation
Network Security Enhanced by AI
- Designing and configuring AI-based intrusion detection solutions
- Early DDoS detection using AI-powered analysis
- Analyzing network anomalies with machine learning techniques
- AI-assisted planning and hardening of network infrastructures
Endpoint Security Powered by AI
- Identifying and categorizing malware with AI
- Deploying AI-enhanced EDR systems in practice
- Proactive threat hunting with AI-driven analysis
- Running efficient AI models on resource-constrained endpoints
Security-Focused AI System Architecture
- Core principles for building secure, robust AI systems
- Cryptographic methods in the context of AI-powered security
- Explainability and transparency of AI models in security contexts
- Optimizing the efficiency and performance of AI security systems
Securing Cloud and Container Environments with AI
- Protecting cloud infrastructures through AI-driven approaches
- Container security with AI-powered monitoring and threat response
- Operating serverless architectures securely with AI
- Integrating AI into DevSecOps workflows and pipelines
AI and Blockchain Working Together for Security
- Core concepts of AI-blockchain integration
- Detecting fraud and manipulation in blockchain with AI
- Security considerations for smart contracts and AI interfaces
- Optimizing consensus mechanisms through AI
Identity and Access Management Enhanced by AI
- Behavioral analysis of users in IAM contexts
- Developing and deploying AI-enhanced MFA solutions
- Implementing zero-trust principles through AI
- Making RBAC systems smarter with AI integration
Physical Security and IoT Protection with AI
- Protecting connected urban infrastructures with AI
- Securing industrial IoT systems through AI-driven monitoring
- AI-powered security solutions for autonomous mobility
- Smart home and consumer IoT security with AI
Final Project: Building an AI Security System
- Defining the problem statement and project objectives
- Designing and technically implementing the AI solution
- Deploying and monitoring the completed AI system
- Presenting and reflecting on project results
Optional Module: AI Agents in Cybersecurity – Level 3
- The concept, architecture, and operation of AI agents
- Real-world examples of AI agents in security operations
- Hands-on: configuring and deploying AI agents
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
