What did we learn?
That's a wrap for now; but don't lose your passion for learning every day.
What we learned
We've brought you safely through the Skills, Agents and MCP Cybersecurity Course.
A quick recap of the places we visited and practiced:
- What AI agents, Skills and the MCP protocol are
- Use cases and typical architecture of agent-based solutions
- Risk differences between traditional AI models and autonomous agents
- Prompt injection and instruction manipulation risks
- Risks of tools and permissions granted to agents
- Exposure of sensitive data through agents and integrations
- Security principles for connecting agents and MCP servers
- Managing credentials and permissions in MCP integrations
- Validating connected data sources and tools
- The principle of least privilege applied to agents and skills
- Sandboxing and limiting the scope of agent actions
- Logging and traceability of actions executed by agents
- Risk assessment before deploying agent-based solutions
- Human oversight and approval mechanisms (Human in the Loop)
- Continuous monitoring and response to anomalous agent behavior
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Thank you so much for joining us on this journey 🤘🏽