Vielen Dank für die Zusendung Ihrer Anfrage! Eines unserer Teammitglieder wird Sie in Kürze kontaktieren.
Vielen Dank, dass Sie Ihre Buchung abgeschickt haben! Eines unserer Teammitglieder wird Sie in Kürze kontaktieren.
Schulungsübersicht
Foundations of Gemini 3 Safety
- How Gemini 3 improves safety and reliability
- Understanding vulnerability reduction mechanisms
- Overview of threat categories for AI systems
Governance Principles and Policy Alignment
- Mapping organizational policies to AI usage
- Configuring Gemini 3 for regulated environments
- Governance workflows for continuous oversight
Prompt Injection Defense
- Types of prompt-based attacks
- Building resistant prompt structures
- Evaluating and testing vulnerability surfaces
Responsible Data Handling
- Managing sensitive or high-risk data
- Ensuring ethical dataset usage
- Mitigating leakage and confidentiality risks
Auditing and Monitoring AI Behavior
- Setting up behavior monitoring pipelines
- Identifying anomalous outputs
- Audit trails for compliance assurance
Risk Assessment and Scenario Planning
- Assessing risks for AI-assisted operations
- Designing mitigation strategies
- Simulating adverse scenarios for preparedness
Secure Deployment Strategies
- Configuring deployment boundaries
- Integrating Gemini 3 with secure infrastructure
- Leveraging least-privilege architectural patterns
Organizational Readiness and Best Practices
- Building cross-functional AI safety processes
- Ensuring staff readiness and capability
- Long-term governance maturity strategies
Summary and Next Steps
Voraussetzungen
- An understanding of cybersecurity fundamentals
- Experience with AI or ML-based systems
- Familiarity with governance or compliance workflows
Audience
- Security engineers
- Compliance teams
- AI ethics professionals
14 Stunden
Erfahrungsberichte (1)
Flow, Stimmung und Themenstellung bei der Präsentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Kurs - Google Gemini AI for Data Analysis
Maschinelle Übersetzung
