Gracias por enviar su consulta! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Gracias por enviar su reserva! Uno de los miembros de nuestro equipo se pondrá en contacto con usted en breve.
Programa del Curso
Introduction to Secure Agent Systems
- Security risks in multi-agent systems
- Overview of CrewAI security capabilities
- Compliance concerns in AI-driven workflows
Agent Identity and Authentication
- Managing identities and roles
- Secure communication between agents
- Token-based authentication and OAuth integration
Data Privacy and Confidentiality
- Data minimization and anonymization
- Secure data exchange between agents
- Encrypting sensitive inputs and outputs
Governance and Audit Logging
- Audit trails for agent actions
- Centralized logging and monitoring strategies
- Enforcing governance policies across agents
Policy Enforcement and Compliance Frameworks
- Aligning with industry compliance standards (e.g., GDPR, SOC 2)
- Custom policy engines and compliance guards
- Dynamic rules and policy-based decision making
Design Patterns for Secure Agent Collaboration
- Event-driven task orchestration
- Isolation of agent responsibilities
- Fault tolerance and incident response strategies
Deployment and Monitoring at Scale
- Security in CI/CD pipelines
- Containerized deployment with Docker and Kubernetes
- Monitoring compliance violations in real-time
Summary and Next Steps
Requerimientos
- Experience with Python programming
- An understanding of agent-based systems
- Familiarity with cybersecurity and compliance principles
Audience
- Security specialists
- Enterprise AI leads
- Compliance officers
14 Horas
