AI phishing simulations that mirror real attacks

A phishing simulation is a safe, simulated phishing attack sent to employees to measure how they respond to a deceptive email. It identifies who clicks, submits credentials, or reports the message, letting you find risky behavior and train it before real attackers exploit it.

You reduce phishing click rates by running regular, role-based simulations and assigning short training the moment someone fails. With progressive difficulty and in-context micro-learning, organizations running continuous programs typically fall below a 5% click rate, versus roughly 30% for untrained staff.

The AI matches each employee to the attack a real attacker would most likely use on them, based on their role and context, then personalizes it. This ensures your finance team receives convincing vendor invoices while marketing gets relevant ad platform alerts, all without any manual configuration.

All of our email templates—including our highly targeted AI-powered OSINT spear-phishing simulations—are strictly aligned with the NIST Phish Scale. This allows administrators to structure campaigns with progressive difficulty, moving employees from basic spam recognition to identifying advanced, open-source intelligence-driven spear-phishing attempts as their awareness improves.

Our template library is extensive. You can simulate Business Email Compromise (BEC), CEO/executive fraud, and highly specific vendor impersonation (targeting your actual vendors, consumer apps, or widely trusted brands). Furthermore, attacks are categorized by department fit (Sales, Finance, Legal, IT) and geography. We also cover advanced credential harvesting, such as fake login pages, password reset links, and SSN extraction, as well as hybrid attacks that combine a phishing email with a trackable AI voice call.

Brightside's automation prevents simulation fatigue. An employee will never receive the exact same attack twice. Additionally, once a specific sender domain is used in a simulation against an employee, our system enforces a strict, automatic 3-month cooling period for that domain across all workspaces before it can be used against them again.

Brightside handles this with automated remediation. The simulation tracks five distinct actions: Delivered, Opened, Clicked, Entered credentials, and Reported. If an employee fails by clicking a link or submitting credentials, the platform instantly assigns a bite-sized, relevant micro-learning module. This turns the failure into an immediate teachable moment without requiring manual intervention from your team.