---
title: "Best Vishing Simulation Features for Employee Training"
description: "Compare the vishing simulation features that help teams spot AI voice scams, train employees, and measure risk over time."
category: "Deep dives"
date: 2026-04-06
canonical: https://www.brside.com/blog/best-vishing-simulation-features-for-employee-training
source: "Brightside AI"
image: https://www.brside.com/assets/best-vishing-simulation-features-for-employee-training.C0Qa8SUh.avif
---

# Best Vishing Simulation Features for Employee Training

The best vishing simulation tools for employee training share seven features: live AI conversations that adapt to what the employee says, voice cloning for executive impersonation, a social engineering tactic builder, hybrid voice and email attacks, a generated opening line with an explicit caller persona, a preview before launch, and vishing-specific metrics. Together, they let security teams put employees through the AI voice scams they now face and measure whether behavior changes over time.

Voice phishing has changed. Attackers now use AI to clone executive voices, run coordinated call-plus-email campaigns, and hold convincing real-time conversations with employees who have no idea they're being manipulated. The organizations still running basic awareness training or playing pre-recorded "test calls" are preparing their teams for a threat that no longer exists in its original form.

If you're evaluating a vishing simulator, the feature set matters more than the vendor name. This guide breaks down the seven capabilities that separate a genuine training tool from a checkbox product, and shows how the leading platforms stack up against each one.

## What Vishing Looks Like in 2026: Realistic AI-Enabled Call Scams

A CFO receives a call from what sounds exactly like the CEO, asking for an urgent wire transfer before the end of the business day. An IT helpdesk employee gets a follow-up call "from the service desk" referencing an email they just received: the email was fake, the caller is AI, and the reference number was generated in seconds. Both of these are standard attack patterns, not outliers.

AI fraud surged 1,210% in 2025, according to [Pindrop's analysis of its fraud data](https://www.pindrop.com/resources/report/the-year-trust-broke-inside-the-2025-ai-fraud-spike), and [Deloitte projects](https://www.deloitte.com/us/en/insights/industry/financial-services/deepfake-banking-fraud-risk-on-the-rise.html) that generative AI could push US fraud losses to $40 billion by 2027. Training employees with a generic awareness course is not enough. They need to experience these attacks in a controlled environment, and that requires a simulator sophisticated enough to replicate the real thing.

## Feature 1: How Live, Adaptive AI Conversations Test Employees

The most basic "vishing simulators" on the market play a pre-recorded message and log whether the employee stayed on the line. Playing a pre-recorded message and logging whether someone stayed on the line tells you almost nothing about how that employee would behave under actual social pressure.

A real vishing simulator conducts a live, two-way conversation where the AI responds to whatever the employee actually says. If the target asks a clarifying question, the AI answers it. If they push back, the AI escalates. This is what attackers do, and it is the only way to genuinely test whether an employee would comply under realistic conditions.

Among the major platforms, live adaptive conversations are available in Jericho, Hoxhunt, Arsen, and Brightside. KnowBe4, SoSafe, Phished, and Riot rely on pre-recorded or scripted flows regardless of how the employee responds, which means employees trained on those platforms have never experienced a real conversational attack.

## Feature 2: How Voice Cloning Enables Executive Impersonation Tests

The most psychologically effective vishing attacks impersonate someone the target already trusts. A CFO receiving a call that sounds like the CEO responds differently than they would to an unknown number. A finance team member hearing the head of IT will cooperate in ways they otherwise would not.

This is also the attack pattern that does the most damage in the real world. AI-enabled CEO fraud is a fast-growing and well-documented threat. In one [documented case](https://www.wsj.com/articles/fraudsters-use-ai-to-mimic-ceos-voice-in-unusual-cybercrime-case-11567157402), a UK energy firm lost about $243,000 after attackers used AI to mimic the voice of its parent company's chief executive on a phone call. A vishing simulator that only offers generic AI voices skips the scenario that matters most.

The best platforms let admins upload a short voice recording and generate a realistic clone for use in simulations, turning the exercise into the kind of targeted, executive-impersonation attack employees need to learn to recognize. The psychological effect of hearing a familiar voice asking for unusual information is specifically what builds the pattern recognition employees need. A generic AI voice does not produce the same result.

Voice cloning is self-serve at Brightside and Adaptive Security, built by the vendor at Hoxhunt for its deepfake video product, managed at Arsen, and claimed without public documentation by Jericho and Revel8. Arsen offers multilingual, emotionally nuanced AI voices, and voice cloning as a managed service: the customer supplies a short recording and consent proof and Arsen's team adds the voice, so executive impersonation is possible but not self-serve. KnowBe4 has no cloning support at any pricing tier.

## Feature 3: A Social Engineering Tactic Builder

Vishing works because it exploits predictable human behaviors, not technical vulnerabilities. Authority impersonation, urgency creation, fear of consequences, social proof, reciprocity, commitment escalation. These tactics have measurable psychological effects, and different employees are vulnerable to different combinations of them.

A vishing simulator without tactic configuration gives security teams no ability to target those specific vulnerabilities. The admin sets a scenario, the AI uses whatever default approach it falls back on, and the simulation's outcome depends entirely on whether that default happened to probe the right weakness. That is not a repeatable training method.

Brightside is the only major platform with a full social engineering tactic builder. Admins choose the tactics explicitly, set the conversation tone, and can add delivery notes such as speaking slowly or leaving more pauses. Arsen exposes a single free-text pretext field, and Keepnet's agent offers a strict-versus-adaptive switch; neither names the tactics.

## Feature 4: How Hybrid Voice and Email Attacks Are Simulated

Real attackers rarely stop at a single channel. A common and effective pattern is to send a phishing email first, then call the target pretending to follow up on it. The email creates a reference point. The call applies social pressure. Together, they make both vectors more convincing than either would be alone, because the target now has two seemingly independent signals confirming the same story.

This coordination is also what makes the attack harder to recognize in the moment. An employee who receives a suspicious email might ignore it. But if they then get a call from someone referencing that email, the cognitive effect changes. The call validates the email, the email validates the call, and the employee is operating inside a constructed scenario that feels entirely legitimate.

A vishing simulator that runs calls in isolation is testing one dimension of a multi-dimensional threat. If your employees have never experienced a coordinated call-plus-email attack in training, they are unprepared for the version they will encounter in practice.

Brightside runs this as a single template, Voice + BEC: one campaign that places the call and sends a phishing email with a trackable link, with the email landing before or after the call. Arsen documents an equivalent, called Phone to phish, and Adaptive Security chains email and phone inside one scenario. Revel8 offers a multi-channel playlist rather than a single workflow, and Hoxhunt combines email with Teams and Slack, but not a phone call.

## Feature 5: How Generated Opening Lines and Explicit Personas Speed Setup

Security teams do not have unlimited time. If configuring a single realistic vishing simulation requires an hour of manual scripting, writing the caller's name, job title, organization, opening line, and contextual details, that simulation will either be skipped or done poorly.

The useful split is between what the admin should decide and what the platform can draft. The persona, who the caller claims to be and what they know, is a design decision. The opening line can be generated from the goal and persona already chosen, then edited.

Brightside works this way: the admin defines the caller's name, position, and organization, adds optional free-text context such as a ticket number or recent account activity, and can leave the first message as the default, write it, or generate it from the setup already chosen. Arsen offers a comparable First Phrase field with a generate option.

## Feature 6: Why Previewing Vishing Calls Before Launch Matters

No security team wants to discover that a simulation sounds unconvincing or breaks mid-call after it has already gone out to hundreds of employees. A preview feature lets admins run the actual call from their own device, verify voice quality, test how the AI responds under different scenarios, and catch configuration errors before they reach anyone's phone.

Brightside is the only major platform that lets admins conduct a live browser-based test of the call before saving or launching the template.

## Feature 7: Which Vishing-Specific Metrics Teams Should Track

Click-through rate and credential submission tracking are built for email simulations. Vishing requires a different measurement framework: answer rate, call duration, failed rate over time, and per-employee breakdown. Without these metrics, security teams cannot tell whether their vishing program is producing any behavioral change at all.

Brightside includes a dedicated vishing dashboard with failed rate, answer rate, median call duration, and a trend graph across 7, 30, or 90-day windows, with full CSV export. Among all major competitors, only Arsen and Keepnet Labs offer any comparable vishing-specific analytics.

## How Major Platforms Differ in Vishing Capability

The table below shows how the seven vendors most commonly evaluated for vishing capability perform against each feature.

SoSafe, one of the most widely deployed security awareness platforms in Europe, offers a one-off managed vishing demo designed to demonstrate risk to executives, not a self-serve tool for running recurring employee simulation campaigns at scale. KnowBe4 offers template-based, keypad-driven vishing test calls on its SAT Advanced or Diamond tier, with callback phishing campaigns at Diamond tier. Neither tier delivers a live adaptive AI conversation. The gap between what most enterprise platforms offer and what realistic vishing training actually requires is significant.

## Platform Profiles

**Brightside** is an AI-native Swiss cybersecurity awareness platform built around the full attack surface: email phishing, vishing, and deepfake simulations, plus structured employee training courses. Its vishing simulator is the most complete on the market, covering all seven criteria in this guide within a single platform. For security teams that specifically need to train employees against AI-generated voice threats, it is the only option that handles the full workflow from simulation design to analytics.

**KnowBe4** is the largest security awareness training vendor by market share and offers the most extensive phishing template library in the industry. Scripted, keypad-driven vishing test calls require the SAT Advanced or Diamond tier, as do callback phishing campaigns, but no tier delivers live adaptive AI conversations, voice cloning, or hybrid attack workflows. Teams that primarily need phishing simulation at scale will find it capable. Those focused on vishing realism will run into the platform's limitations quickly.

**Jericho Security** is one of the stronger vishing-capable platforms available. It supports live adaptive conversations and voice cloning, and positions itself specifically around AI-powered social engineering simulation. Its public documentation does not describe a social engineering tactic builder, a hybrid attack workflow, or a pre-launch preview, which limits configuration depth for more experienced security teams.

**Hoxhunt** is a gamified security awareness platform with broad phishing simulation capability and vishing functionality that was in limited early access at the time this comparison was researched. Voice cloning is supported, but AI automation for call design is absent. The platform's strength is in phishing and behavioral nudging. Vishing is a secondary offering rather than a core capability.


## Training Employees to Recognize AI Voice Scams

The metric that matters is behavioral change over time, not simulation volume. The most effective programs combine three elements, in sequence:

1. **Simulate first.** Before any formal training, run a baseline vishing simulation to establish where employees actually stand. Baseline data (answer rate, failed rate, call duration) gives security teams something to measure against. Without it, all subsequent training claims are unverifiable.
2. **Train on the mechanics.** Employees who fail a simulation need to understand why they were vulnerable, not just that they made a mistake. Structured courses on vishing, AI voice threats, CEO fraud, and social engineering tactics give employees the conceptual framework to recognize the same attack pattern the next time it appears, even in a different form.
3. **Re-simulate and track trend.** A single simulation is a data point. A quarterly or continuous simulation program is a measurement of behavioral change over time. Failed rate trend across 90 days is the metric that tells you whether your program is working.

Brightside delivers all three layers within a single platform: simulation campaigns, automated follow-up training triggered by simulation failures, and a trend dashboard that tracks failed rate across any time window. Every other major platform in this comparison requires a separate training tool to close that loop.