AI+ Security Compliance Practitioner™
Effective digital security demands more than technical expertise – it calls for strategic clarity, regulatory awareness, and confident use of AI-powered methods.
Key topics
- Applying AI models for risk analysis and security assessments.
- Building automated compliance processes with clear control frameworks.
- AI technologies in regulatory contexts and their impact on standards.
- Requirements for transparency, governance, and auditability.
- Security-oriented use and analysis of critical data sets.
Prerequisite
Those who understand digital workflows and have an interest in AI-powered security solutions can get started right away.
Target group
This profile is designed for professionals working in security, audit, or governance who want to integrate AI-based compliance methods into their work.
Mastering AI compliance means more than protecting systems – it means actively shaping digital responsibility.
- Core concepts and principles of cybersecurity compliance
- Applicable international standards and frameworks
- Building effective compliance programs
- Deploying and rolling out compliance measures
- Use cases for AI in security compliance
- Practical examples and real-world applications
- Overview of risk management frameworks
- Methods for conducting security risk assessments
- AI-driven analysis of security risks
- Compliance requirements and AI solutions
- Responding to security incidents with AI support
- Systematic data classification and protection
- AI-powered data protection measures
- Efficient asset management through AI
- Practical examples and established approaches
- Principles for building secure systems
- Cryptographic techniques and AI applications
- AI-powered detection and analysis of vulnerabilities
- Security models in conjunction with AI
- Core concepts of secure network communication
- AI applications in network monitoring
- Automated network defense through AI
- Regulatory requirements in network security
- Concepts and core principles of IAM systems
- AI-powered identity verification methods
- Intelligent access management with AI
- Risks and attack vectors for IAM systems
- Methods and procedures for security assessments
- AI-driven execution of security tests
- Ongoing monitoring with AI support
- Structured preparation for security incidents
- Managing and responding to cyberattacks
- Legal frameworks in the context of security incidents
- Building and operating a Security Operations Center (SOC)
- Structured data categorization and protective measures
- Handling regulatory data protection requirements
- AI-supported disaster recovery planning
- Automating and orchestrating security processes with AI
- Foundations of a security-oriented development process
- AI-driven analysis of application security
- Integrating security into DevOps processes with AI
- Structured threat analysis with AI support
- Conducting internal and external security audits
- Ongoing monitoring and quality assurance
- New AI technologies and their security potential
- Using AI to analyze current cyber threats
- Impact of quantum computing on security strategies
- Ethical principles and governance in AI use
- Real-world implementation examples
- Definition and core concept of AI agents
- Core functions of AI agents in compliance environments
- Use cases and current developments for AI agents
- How AI agents function and are structured
- Characteristic properties of modern AI agents
- Different types and variations of 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.