Log agent decisions, detect policy failures, stop unsafe runs, and recover with evidence.

Design network, identity, TLS, rate, logging, update, and recovery controls for a local AI service.

Run your first local model, measure fit and speed, then expose a controlled API through a secure server design.
#llama.cpp
#self-hosted AI
Trace prompts, model files, tools, logs, network exposure, and power costs before choosing local inference or a hosted AI service.
Illustration of local and hosted AI data paths#local inference
#self-hosted AI
#llama.cpp
#AI security
Design AI agents and MCP connections with narrow authority, explicit approval, isolated execution, and useful audit evidence.
#Model Context Protocol
#Least Privilege
Test your understanding of agent authority, MCP tools, prompt injection, approval, logging, and recovery.

Build a safer release path with dependency review, SBOMs, limited pipeline permissions, Scorecard, SLSA provenance, attestations, and release verification.

Test dependency, SBOM, pipeline, Scorecard, provenance, attestation, and tampered-release decisions before viewing the separate answer key.

Check and explain the ten Secure CI/CD course questions before the release gate capstone.

Build and defend a release decision with dependency evidence, SBOM scope, pipeline permissions, provenance policy, and a tampering test.
