What Will Be Covered
- Data Security: Best practices for protecting AI training data, outputs, and sensitive information
- Model Security, Integrity & Authenticity: Safeguarding AI systems from adversarial attacks, manipulation, and unauthorized access
- Security of Third-Party Models & APIs: Assessing risks in open-source AI and third-party integrations
- Information Security Threats: Identifying and mitigating cybersecurity risks targeting AI-driven applications
- Governance & Audit: Establishing policies to track AI decision-making, ensure compliance, and mitigate liability
- Human Oversight: Balancing automation with human intervention to prevent errors and biases
Who Should Attend
- In-house counsel
- General counsel
- Chief compliance officers
- Risk management officers
- C-suite executives
- Business leaders integrating AI into their operations
- Telecommunications Providers
- Tech Leader
- AI Practicioners
