What do phishing simulation results tell you?
Simulations measure behaviour, not just knowledge. Over time, the trend matters more than any single result. We look for falling click rates and, just as important, rising report rates.
A team that reports suspicious emails quickly gives you time to remove a real phishing email from other mailboxes before more people see it. That is why the program pairs well with layered email security, which filters many attacks before staff ever see them, and why our reports focus on teams rather than naming individuals.
For example, a baseline might show several staff entering their details on a fake Microsoft 365 sign-in page. Short, targeted training then follows, and later simulations track whether clicks fall and reporting rises.
How do you cover AI-enabled scams and deepfakes?
Attackers now use AI tools to write convincing phishing in fluent English, clone voices and create fake video calls. The old advice to look for spelling mistakes is no longer enough.
Our training focuses on habits that work regardless of how real a message looks: verify urgent payment or data requests through a known phone number, and never act on pressure alone. ASD’s Small business cyber security handbook lists the same habit among its key actions: train staff to spot scams and phishing, and verify payment requests through a trusted channel. If your organisation is adopting AI tools, our AI security and governance service covers the policies and controls that go with them.
Should training sit inside a wider security service?
Training reduces the chance that a person is the way in. It is most effective when the reports staff make are acted on, and when the same team can see what got past the filters. If you want training, email security and alert response run by one team, the program can sit inside managed security. It also produces the training records an ISO 27001 ISMS needs.