Secure Agentic AI Training in Kuala Lumpur, Malaysia

The Secure Agentic AI Training is a specialized program designed to help organizations design, deploy, and operate agentic AI systems securely, with strong focus on security, privacy, governance, and risk management.

The course teaches how to build safe, auditable, and compliant agent-based AI workflows, ensuring that autonomous and semi-autonomous agents operate within defined security and policy boundaries.

Introduction to Security for Agentic AI

• Why agentic AI introduces new security risks
• Differences between chatbot and agent security
• Threat landscape for AI agents
• Regulatory and compliance context

Agentic AI Threat Models

• Threat modeling for agent-based systems
• Common attack vectors (prompt injection, tool abuse, data leakage)
• Insider and external threat scenarios
• Risk assessment frameworks

Secure Agent Architecture

• Defense-in-depth for agent systems
• Segmentation of agent components
• Secure agent orchestration patterns
• Isolating tools and execution environments

Identity, Access & Least Privilege

• Role-based access for agents
• Least-privilege tool permissions
• Credential and secret management
• Separation of duties for agents

Tool Security & Sandboxing

• Securing file system access
• API and service access controls
• Sandboxing agent tool execution
• Preventing unauthorized actions

Data Security & Privacy

• Handling sensitive and regulated data
• Data minimization strategies
• Masking and redaction
• Data retention and deletion policies

Prompt Injection & Manipulation Defense

• Understanding prompt injection attacks
• Input validation and sanitization
• Output filtering and constraints
• Defense strategies for agent prompts

Human-in-the-Loop Security Controls

• Approval gates for high-risk actions
• Supervisor and reviewer agents
• Manual override mechanisms
• Escalation workflows

Audit Logging & Traceability

• Logging agent actions and decisions
• Traceability for compliance
• Forensic analysis of agent behavior
• Audit-ready documentation

Policy Enforcement & Guardrails

• Business rules and policy engines
• Enforcing operational boundaries
• Automated policy checks
• Compliance-by-design patterns

Secure Integration with Enterprise Systems

• Connecting agents to ERP, CRM, and IT systems securely
• Network segmentation and firewall considerations
• API gateway and proxy patterns
• Monitoring external integrations

Testing & Red Teaming Agentic Systems

• Security testing for agent workflows
• Adversarial testing and red teaming
• Simulating misuse scenarios
• Continuous security validation

Incident Response for Agentic AI

• Detecting security incidents
• Containment and rollback strategies
• Root cause analysis
• Improving agent security post-incident

Governance, Compliance & Regulatory Alignment

• AI governance frameworks
• Mapping to ISO, NIST, SOC2, GDPR, HIPAA
• Documentation and evidence collection
• Regulatory readiness for AI agents

Best Practices & Secure Deployment Patterns

• Secure-by-design agent workflows
• Environment separation (dev/test/prod)
• Secrets rotation and key management
• Ongoing security monitoring

Hands-on Exercises

Summary and Conclusion