Phishing Protection for Websites

When a criminal clones your login page on a domain one character off your own, your customers are the victims and your brand takes the blame. They enter their credentials, the attacker drains their account or places fraudulent orders, and the angry call comes to you. An anti-phishing service watches for these impersonations as they appear and gets them taken down fast, before they can harvest much. The faster a phishing page is killed, the fewer of your customers it catches, and the less chance a browser warning ever attaches itself to your name.

The other half is your own team. A single employee who enters their password into a convincing fake, or approves a fraudulent invoice because the email looked like it came from the finance director, can hand an attacker everything. Technology helps, but people are the target, so phishing attack prevention has to include the human layer. That is what simulation and training are for.

The first fix is often the most neglected: email authentication. Correctly configured SPF, DKIM, and DMARC records tell the world’s mail servers which systems are allowed to send email as your domain, so an attacker cannot simply forge your address. We set these up and move DMARC to an enforcing policy carefully, so legitimate mail keeps flowing while spoofed mail gets rejected. Many domains have these records half-configured or in monitor-only mode, which stops nothing.

We watch for newly registered domains that resemble yours, cloned copies of your site, and phishing pages using your branding. When one appears, we move to have it taken down through the hosting provider, registrar, and browser blocklists. Speed matters here, because a phishing kit does most of its damage in the first hours before it is flagged.

A phishing simulation service sends your staff safe but realistic phishing emails and measures what happens: who clicks, who enters credentials, who reports it. This is not about catching people out. It is about finding where the risk actually sits and giving those people targeted help. The first campaign always surprises leadership, and the numbers improve quickly once training follows. We agree the scope and tone with you in advance, so the exercise lands as support rather than a gotcha.

Annual slideshow training that everyone clicks through changes nothing. We deliver short, practical sessions tied to the results of the simulation, showing your team the exact tricks used against them and how to spot the next one. When someone does report a suspicious email, that is a win worth reinforcing, so we build a culture of reporting rather than blame. A team that reports quickly gives you early warning of a campaign, which is worth far more than a clean simulation score.

Not all phishing is a mass email full of typos. The dangerous ones are targeted. Spear phishing crafts a message for a specific person using details from your website and social media. Business email compromise impersonates an executive or supplier to authorise a payment, and it costs European businesses enormous sums every year with no malware involved at all. We build your simulations and training around these real scenarios, not a generic “click here to win” example that fools no one. If your industry has a signature scam, a fake delivery notice, a spoofed invoice, a bogus password-reset, that is the one we model.

The first month is about the fundamentals: getting email authentication to enforcement, standing up impersonation monitoring, and running an initial simulation to see where you really stand. This baseline is honest, and it is usually the moment leadership realises the risk is larger than assumed.

Rather than train everyone on everything, we focus effort where the baseline showed weakness. The department that clicked most gets the most attention, with examples drawn from the actual emails that fooled them. Short and specific beats long and generic every time.

Each quarter brings a fresh simulation using new scenarios, so people cannot simply memorise last time’s test. We track click rate and, just as importantly, report rate over time, and adjust the scenarios to reflect what attackers are actually sending. The trend line, not any single result, is what shows the programme working.