Phishing Simulation
Test a decision.
Not just a click.
Rehearse the attacks your people actually get: email, SMS and RCS, voice calls from IVR or an agentic AI caller, WhatsApp, Microsoft Teams and Slack. Every simulation starts with a real decision (open, trust, disclose, pay, verify or report) and ends with a lesson. See every channel and attack type.
Context before content
Make the scenario
fit the role.
A payment-change request matters differently to finance than a password-reset request does to IT. Define the audience, the pretext and the safe behavior before writing the message.
AI assistance belongs in that preparation: helping a security team develop a realistic draft from a specific objective. Explore AI Scenario Studio to see how intent becomes a complete simulation. People still review accuracy, tone, boundaries and suitability.
Choose a context.
A preset illustration of scenario planning, not live AI generation.
Verify a supplier’s payment change.
Email creates urgency around a revised invoice. The safe response is to confirm the change using a known contact, then report the suspicious request.
Security-team review required before any campaign.One behavior, multiple contexts
Social engineering
doesn’t stay in the inbox.
| Channel | Decision to practice | What needs context |
|---|---|---|
| Email phishing | Verify identity before trusting a request. | Sender, language, links and business context. |
| QR phishing / quishing | Inspect the destination before signing in. | Where the code appears and what it promises. |
| SMS / smishing | Resist urgency on a small screen. | Sender ambiguity and compressed URLs. |
| Voice / vishing | Use an independent callback process. | Authority, pressure and requests for disclosure. |
| WhatsApp / messaging | Confirm an unexpected identity or request. | Familiarity, profile cues and channel switching. |
| Credential / attachment scenarios | Pause before disclosing or opening. | The requested action and how interaction is measured. |
Questions worth asking
Before you evaluate.
What makes a scenario useful?
It should test a clearly defined behavior in a believable situation. Document audience, objective, expected safe response and how results will be interpreted before launch.
Does AI launch campaigns automatically?
No autonomous launch is claimed here. This website describes AI-assisted preparation and a security-team review step; exact campaign controls require product verification.
Can a click rate prove risk reduction?
No. Exposure, scenario difficulty, repeated tests and automated link activity can change the interpretation. Compare meaningful behavior in context.