You're the oversight engineer on night shift. Your company's AI agent, MERCURY-7, just started going off-script. Ten decisions stand between you and a very bad morning standup. Prefer pressure? The war-games mode gives you 10 minutes to contain a leaked API key — scored and logged.
Key figure: 63% of organizations in IBM's 2025 breach study had no AI governance policy, and 97% of AI-breach victims had no proper AI access controls (IBM, Cost of a Data Breach Report 2025).
All scenarios are fictional training scenarios — any resemblance to real incidents is coincidental. Built by Ingenious AI.
— Ingenious AI training simulation.
The sun is up. Time to see how the night went.
A new rogue AI agent incident scenario every month. Edition #1 is playable now: your support agent just emailed a customer your internal API key. You have 10 minutes. Five decisions. Every choice is scored and written into a Flight-Recorder-style incident log. This is a simulation — training, not a real incident tool.
Scenario #1 — "The Leaked Key". Friday, 4:47 PM. Your AI support agent just emailed a customer a message that contains your internal sk-prod API key. The customer hasn't replied yet. The clock is running.
Rules: 10:00 on the clock. Answer all 5 decision points before it hits zero. Points reward containment, honest communication and prevention. Your incident log is graded at the end.
Yes — if you practice the containment sequence before it happens. This free training puts you inside two realistic incidents: a night-shift meltdown with ten decisions and a timed leaked-key scenario with scoring. Every wrong choice shows you the incident report and the guardrail that would have stopped it, so the right moves become reflex.
An AI agent that acts outside its intended instructions — misusing tools, ignoring constraints, leaking secrets, changing data, or contacting people it shouldn't. War-gaming these scenarios trains your team to contain the damage fast.
Kill switches, action approval queues, permission allowlists, and tamper-evident logs — the controls this simulator lets you practice.
The practice of monitoring, constraining, and auditing autonomous agents so a human stays in control.
Common causes: overly broad tool permissions, prompt injection from untrusted web or document content, poisoned memory, and missing human approval on irreversible actions. Most rogue AI agent incidents need broad access to matter — an agent that cannot write, pay, or delete is an annoyance, not a breach.
Revoke or rotate the leaked credential immediately — containment beats communication. Then freeze the agent's permissions, audit what it touched, notify the affected party, and escalate to your incident-response owner. Play the war-games mode above to practice the sequence under time pressure so it is automatic in a real rogue AI agent incident.
Contain first: revoke the leaked credential, freeze the agent's permissions and tool access, then audit what it touched via your incident log. Escalate to your incident-response owner, notify affected parties, and keep a tamper-evident record. Practice the sequence here before it happens for real.
No — this is a SIMULATION for training and awareness. It does not connect to your systems and cannot contain a real incident. For real protection you need monitoring, permission controls and a kill switch on every production agent.