AI+ Security Compliance™

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Price
Net: 1.985,00
VAT.: 377,15

Duration
5 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
WalkIn®

Modern security strategies are rapidly gaining importance, while AI-supported technologies are setting new standards for risk and compliance management. This text introduces an environment that combines digital responsibility, automation, and smarter security decisions.

Key topics

  • AI-based risk analysis and security assessments.
  • Automated compliance workflows and control mechanisms.
  • Regulatory trends in interaction with AI.
  • Transparency, auditability, and governance.
  • Handling security-related data models.

Prerequisite
Basic understanding of digital processes and openness to AI-supported security methods.

Target audience
Professionals from security, IT, audit, governance, and compliance who want to integrate AI-based approaches.

Future-oriented security concepts arise where modern automation, regulatory clarity, and AI expertise come together. This profile strengthens the ability to assess digital risks more accurately and confidently embed AI in compliance structures.

Print as PDF
Course content
  • Overview of cybersecurity compliance
  • International compliance standards
  • Development of compliance programs
  • Implementation of compliance programs
  • AI in cybersecurity compliance
  • Case studies and applications
  • Risk management frameworks
  • Conducting risk assessments
  • AI in risk assessment
  • Compliance and AI
  • Incident response and AI
  • Data classification and protection
  • AI in data protection
  • Asset management with AI
  • Case studies and best practices
  • Principles for secure design
  • AI in cryptography
  • AI in vulnerability analysis
  • Security models and AI
  • Fundamentals of network security
  • AI in network monitoring
  • AI-driven network defense
  • Compliance in Network Security
  • Fundamentals of IAM
  • AI in identity verification
  • Access control and AI
  • Threats to IAM and AI solutions
  • Techniques for security testing
  • AI in security testing
  • Continuous monitoring and AI
  • Incident response planning
  • Cybersecurity incident management
  • Legal and regulatory considerations
  • Security Operations Center (SOC)
  • Data classification and protection
  • Data protection compliance
  • Disaster recovery and AI
  • AI in Security Orchestration
  • Secure software development lifecycle (SDLC)
  • AI in application security testing
  • AI in secure DevOps
  • Threat modeling and AI
  • Internal and external audits
  • Continuous monitoring
  • Emerging AI technologies
  • AI in cyber threat analysis
  • Quantum computing and AI
  • Ethical considerations and AI governance
  • Practical applications
  • What are AI agents?
  • Key functions of AI agents for cybersecurity compliance
  • Applications and trends for AI agents in the field of security compliance
  • How does an AI agent work?
  • Key features of AI agents
  • Types of AI agents

Frequently asked questions

  • Security compliance describes adherence to legal and industry-specific regulations relating to data protection, IT security, and AI use.
  • Important regulations include the GDPR, NIS2, ISO/IEC 27001, and the EU AI Act. They specify how data and systems must be protected.
  • Ideal for professionals in IT, compliance, law, data science, or management who want to use AI securely and in compliance with the law.
  • The seminar covers cloud-based security and compliance tools such as Microsoft Purview, AWS Security Hub, Google Security Command Center, and AI-powered solutions for risk analysis, data classification, access control, and audit automation.
  • It combines IT security with specific AI rules, ethical standards, and regulatory requirements for automated systems.
  • AI systems process large amounts of data autonomously—this requires new control mechanisms, testing procedures, and legal clarity.
  • Data leaks, legal violations, damage to reputation, and uncontrollable systems can have massive consequences.
  • Demonstrates up-to-date expertise, increases career opportunities, and is a plus for companies that value security and transparency.

Do you have any further questions? Please contact us.