Defend agentic systems in motion.
This program teaches teams how to operate runtime defense as an engineering discipline. The focus is not abstract policy, it is real-time control design, incident handling, and the safety layers required when agents can act on tools, data, and downstream systems.
Build control logic for the earliest point in the attack chain.
How attacks vary across direct instructions, retrieved context, and tool outputs.
Where statistical and rule-based controls help most.
Configure layered defenses for a sample agent workflow.
Move from detection to containment and safe execution.
Preventing unsafe disclosures and downstream unsafe use.
Constraining what agents can actually do in production.
Define and validate per-agent access rules for an enterprise topology.
Make runtime defense operationally sustainable for the teams that own it.
What observability and evidence patterns matter in runtime defense.
Review attack sequences and decide response actions under time pressure.
Operate a simulated runtime incident from first alert to decision log.
Built for teams running agentic workflows in production who need a concrete security operating model around tools, prompts, policies, and incident response.
Recommended next steps after this course include ai-compliance.