AI Agent Cybersecurity

About This Course

AI Agent Cybersecurity equips participants with practical skills to deploy and manage autonomous AI agents for cybersecurity operations using OpenClaw and Hermes Agent. Learners will explore how AI agents can monitor security events, analyze system and network logs, identify suspicious behaviour, assess vulnerabilities, and support faster incident investigation and response.

Through hands-on activities, participants will configure agents with appropriate tools, skills, memory, context, and permissions to perform security-related tasks. They will develop agentic workflows for threat intelligence analysis, vulnerability assessment, phishing detection, security reporting, risk prioritization, and remediation planning. The course also covers human-in-the-loop approvals and multi-agent collaboration for coordinating complex security operations.

Emphasis is placed on securing the AI agents themselves through access controls, sandboxing, least-privilege permissions, secure tool integration, prompt-injection defence, sensitive-data protection, audit trails, and operational guardrails. Participants will learn to validate agent findings and prevent unsafe or unauthorized actions. By the end of the course, learners will be able to use OpenClaw and Hermes Agent responsibly to automate repetitive security tasks, strengthen threat detection, and improve organizational cyber resilience.