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Course Outline
Foundations of Gemini 3 Safety for Government
- How Gemini 3 Enhances Safety and Reliability
- Understanding Mechanisms to Reduce Vulnerabilities
- Overview of Threat Categories for AI Systems in Public Sector Environments
Governance Principles and Policy Alignment for Government
- Aligning Organizational Policies with AI Usage
- Configuring Gemini 3 for Regulated Government Environments
- Establishing Governance Workflows for Continuous Oversight in Public Sector Operations
Prompt Injection Defense for Government
- Identifying Types of Prompt-Based Attacks
- Constructing Resistant Prompt Structures
- Evaluating and Testing Vulnerability Surfaces in Government Systems
Responsible Data Handling for Government
- Managing Sensitive or High-Risk Data within Government Contexts
- Ensuring Ethical Usage of Datasets in Public Sector Applications
- Mitigating Leakage and Confidentiality Risks for Government Operations
Auditing and Monitoring AI Behavior for Government
- Establishing Behavior Monitoring Pipelines for Government Systems
- Identifying Anomalous Outputs in Public Sector Applications
- Maintaining Audit Trails for Compliance Assurance in Government Operations
Risk Assessment and Scenario Planning for Government
- Assessing Risks for AI-Assisted Operations in the Public Sector
- Designing Mitigation Strategies for Government Scenarios
- Simulating Adverse Scenarios to Enhance Preparedness in Government Agencies
Secure Deployment Strategies for Government
- Configuring Deployment Boundaries for Government Use
- Integrating Gemini 3 with Secure Government Infrastructure
- Leveraging Least-Privilege Architectural Patterns in Government Systems
Organizational Readiness and Best Practices for Government
- Building Cross-Functional AI Safety Processes within Government Agencies
- Ensuring Staff Readiness and Capability for Government Operations
- Developing Long-Term Governance Maturity Strategies for the Public Sector
Summary and Next Steps for Government
Requirements
- A comprehensive understanding of cybersecurity fundamentals for government
- Practical experience with artificial intelligence (AI) or machine learning (ML) systems
- Knowledge of governance and compliance workflows in the public sector
Audience
- Security engineers for government agencies
- Compliance teams within federal, state, and local governments
- Professionals focused on AI ethics in the public sector
14 Hours
Testimonials (1)
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