Everything else is in your stack. Awareness should be too.
You already have an identity system, a SOC, a ticket queue and a policy that says where data is allowed to live. Awareness is usually the one control that sits outside all four, in a vendor portal somebody exports a spreadsheet from once a quarter. Cyberdise runs inside your boundary instead.

On your servers if the policy says so. Against the directory you already maintain.
Where it runs is your decision, and it does not change what you get. What your people report arrives where your analysts already work, not in a separate console someone has to remember to open. And when data is not allowed to leave, the AI layer runs on your own model or an open one. This is built for organizations that want to engineer the human layer themselves, rather than accept generic content and fixed playbooks.
- Multiple Active Directory and Entra ID domains, and LDAP
- Learning aligned with your own security policies, not generic course content
- Reports arriving in your SOC and SOAR tooling instead of a separate console
- Your own LLM or an open model, when data is not allowed to leave
- Evidence in a format the board already reads
Measured, not asserted.
Source: Pugnetti, C. and Stacho, P., Improving Cyber Risk Behavior through AI-Enabled Spearphishing, A Comparative Analysis. Institute of Financial Services Zug IFZ, Lucerne School of Business, and Cyberdise AG. N = 539.
As a globally operating technology group, protecting our data and know-how from cyber threats is a high priority. With Cyberdise's support, we were able to run a global phishing simulation in five languages for the first time. The platform combines hands-on, real-world scenarios with targeted training and can be flexibly adapted to the requirements of our industrial environment. The AI-driven approach in particular ensures a high degree of authenticity in the simulations and helps us to sustainably strengthen cybersecurity awareness.
Bring your architecture diagram. We will show you where this sits.
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