Artificial Intelligence Security

Course overview

Course Description Artificial Intelligence Security is gaining significant importance in a world where automated systems increasingly take over critical processes. Ensuring the integrity and confidentiality of data within AI models is a fundamental pillar of modern IT security. As attack vectors such as Data Poisoning or Adversarial Attacks increase, a deep understanding of protective mechanisms in cybersecurity is essential. Securing algorithms requires a holistic view of IT security, ranging from data acquisition to the deployment of models. Companies face the challenge of establishing robust structures that are resistant to both external manipulations and internal vulnerabilities. By employing modern cybersecurity methods, risks can be minimized, and trust in automated decision-making can be sustainably strengthened. Course Content Fundamentals and Threat Analysis * Identification of attack scenarios on Machine Learning models Analysis of vulnerabilities in data processing Assessment of risks to the digital infrastructure Security Architectures for AI Systems * Implementation of encryption techniques in cloud environments Monitoring of model outputs to detect anomalies Securing interfaces and networks Incident Response and Forensics * Development of strategies for responding to AI-specific incidents Forensic investigation of manipulated datasets Documentation and reporting according to international standards Certifications The content is based on internationally recognized standards such as ISO/IEC 27001 as well as specific frameworks for trustworthy artificial intelligence. Conclusion Mastering complex protection concepts is crucial for the success of technological projects. With a solid strategy for Artificial Intelligence Security, digital potentials can be safely exploited, ensuring long-term stability.

Upcoming dates

• 2026-08-16T22:00:00.000Z · 2027-05-12T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-08-16T22:00:00.000Z · 2028-02-06T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-13T22:00:00.000Z · 2027-06-22T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-13T22:00:00.000Z · 2028-03-02T23:00:00.000Z · Virtuelles Klassenzimmer