Tutorials¶

40+ step-by-step guides covering every aspect of AI agent governance.

Foundations¶

#	Tutorial	What you'll learn
01	Policy Engine	Core policy evaluation, rule authoring
02	Trust & Identity	Agent identity, trust tiers, verification
03	Framework Integrations	Connect AGT to LangChain, CrewAI, OpenAI, etc.
04	Audit & Compliance	Logging, evidence collection, compliance mapping
05	Agent Reliability	SLOs, monitoring, graceful degradation

#	Tutorial	What you'll learn
06	Execution Sandboxing	Privilege rings, runtime isolation
07	MCP Security Gateway	Per-tool policy enforcement for MCP servers
08	OPA / Rego / Cedar Policies	Policy engines comparison and integration
09	Prompt Injection Detection	Detecting and preventing prompt injection
25	Security Hardening	Production security best practices
26	SBOM & Signing	Software bill of materials, artifact signing
27	MCP Scan CLI	Static analysis for MCP server security
45	Shift-Left Governance	Pre-commit hooks, CI gates, build-time enforcement
46	Contributor Governance	Contributor reputation, spam detection, cross-project scanning

#	Tutorial	What you'll learn
10	Plugin Marketplace	Marketplace governance, trust scoring
11	Saga Orchestration	Multi-step agent workflows with rollback
12	Liability & Attribution	Decision tracing, blame assignment
13	Observability & Tracing	Distributed tracing for agent systems
14	Kill Switch & Rate Limiting	Emergency controls, throttling
15	RL Training Governance	Governing reinforcement learning agents
16	Protocol Bridges	Cross-protocol agent communication
17	Advanced Trust	Behavioral analysis, reputation systems
18	Compliance Verification	Automated compliance checks
23	Delegation Chains	Agent-to-agent authorization
24	Cost & Token Budgets	Resource governance

#	Tutorial	What you'll learn
19	.NET package	Agent governance in C# / .NET
42	C# MCP extension	Govern MCP servers built with the official C# SDK
20	TypeScript package	Agent governance in TypeScript
21	Rust crate	Agent governance in Rust
22	Go module	Agent governance in Go