Secure and Responsible Gemini 3: Safety, Governance & Prompt Injection Protection Training Course
Gemini 3 is a multimodal AI system engineered with advanced safeguards, robust governance capabilities, and heightened resilience against adversarial manipulation.
This instructor-led, live training, available either online or on-site, is designed for intermediate-level professionals seeking to deploy Gemini 3 in a secure, responsible, and policy-compliant manner.
By the end of this course, participants will be equipped to:
- Leverage Gemini 3's safety features to mitigate risks of misuse.
- Establish governance frameworks that align seamlessly with organisational policies.
- Fortify systems against prompt injections and adversarial inputs.
- Assess deployments to ensure both compliance and operational integrity.
Course Format
- Expert-led instruction featuring real-world safety case studies.
- Hands-on laboratories centred on governance strategies and secure prompting techniques.
- Practical exercises conducted within controlled test environments.
Customisation Options
- Tailored governance scenarios or security-focused labs can be incorporated upon request.
Course Outline
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
Requirements
- 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
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Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
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