Recommended Solutions for Vishing Attack Simulation in 2026

In August 2026, The Straits Times reported that Point72, Citadel, Millennium Management, Two Sigma, and several private-equity firms had been targeted in a wave of attempted cyberattacks. Phone-based social engineering was central to the reporting. Two Sigma said it stopped the attempt without an impact on its systems or data, while Point72’s initial review found no client information had been stolen.

These were attempted attacks, not confirmed breaches across every named firm. Even so, they give security leaders a useful test for their awareness programs. If attackers are calling employees at sophisticated financial institutions, an email-only simulation program no longer covers the decisions that matter.

Choosing a vishing attack simulation solution should therefore start with the attack path, not the voice demo. The platform needs to reproduce the requests an employee may face, measure whether they follow an approved verification process, and provide useful remediation when they do not. A realistic voice is valuable, but it is only one part of that job.

What a Vishing Attack Simulation Should Actually Test

A vishing attack simulation is a controlled phone exercise that tests how employees respond to social engineering over voice. It may use a prerecorded message, an interactive call built around defined branches, or a live AI agent that adapts its response during the conversation. Those formats are not equivalent.

A voicemail can test whether an employee calls an untrusted number or follows a link. An interactive template can test several predictable responses. A live conversational agent can apply urgency, answer objections, change tactics, and continue when the employee hesitates. Buyers should identify which level they are evaluating before comparing products that all use the word “vishing.”

The goal is not to prove that employees can identify synthetic audio. A 2026 study of automated voice-phishing capability, involving 4,100 US adults, reported 16.5% self-reported compliance across five scam categories. More importantly for simulation design, persuasiveness predicted compliance more strongly than whether a voice seemed human. The study measured stated willingness rather than observed financial loss, but it supports a practical conclusion: scenario pressure and the requested action matter as much as vocal fidelity.

Measure whether employees:

• Pause before acting on an unexpected request.
• Verify the caller using a number or channel obtained independently.
• Refuse to disclose credentials, one-time codes, or sensitive information.
• Follow the correct approval process for payments, access changes, and data releases.
• Escalate and report the call quickly enough for the security team to respond.

Simulation does not block malicious calls or detect every cloned voice in production. It rehearses the decisions that remain safe even when the caller sounds convincing.

Build Scenarios Around the Requests Attackers Make

Generic “suspicious bank call” templates may be suitable for broad consumer awareness, but they are a weak test of enterprise risk. Start with employees who can change access, release money, expose sensitive data, or authorize a third-party application. Then build scenarios around their real procedures.

Service-desk identity and MFA resets

The caller claims to be an employee who has lost a phone, cannot access an account, or needs a new authentication factor before an urgent meeting. The story may include accurate details gathered from public profiles or internal information exposed elsewhere.

The simulation should test whether the analyst follows the full identity-verification process, refuses unsupported exceptions, calls back through a directory-sourced number, records the request, and escalates pressure or anomalies. It should also allow the “employee” to challenge the process so the analyst practices holding the line.

Finance and executive impersonation

The caller poses as an executive, client, or vendor and requests a confidential payment, bank-detail change, document release, or exception to the normal approval chain. A cloned executive voice can increase realism, but authority, secrecy, and urgency are the real mechanisms being tested.

The safe behavior is procedural. The target must verify the request through a pre-established second channel and obtain the required approval regardless of how familiar the voice sounds. Executive assistants, treasury teams, accounts payable, investor relations, and client-service employees are natural audiences for this scenario.

SaaS authorization and hybrid attacks

The caller impersonates IT support and asks an employee to approve an application, enter a code, open a login page, or accept an MFA prompt. The call may follow an email or SMS that establishes context. A platform’s multi-channel capability becomes important here: the messages and call should form one coherent attack rather than unrelated tests.

Measure the full response: whether the employee refused the request, verified support through an official channel, reported the email and call together, and gave the security team enough context to investigate.

How to Evaluate Vishing Simulation Solutions

The most impressive demonstration is not necessarily the best program. Use a consistent evaluation rubric so voice quality does not hide operational gaps.

1. Conversation type: Ask whether the product delivers prerecorded audio, menu-driven branching, adaptive two-way conversation, or a combination. Interrupt the agent, ask an unexpected question, refuse once, and see how it responds.
2. Scenario control: Administrators should be able to set the role, objective, pretext, permitted tactics, failure conditions, and safe boundaries. A long template library is less valuable if none of the scenarios match your procedures.
3. Multi-channel sequencing: If real attackers combine email, SMS, voice, and collaboration tools, the platform should preserve context across those steps and report them as one campaign.
4. Voice and impersonation governance: Review consent, access controls, retention, deletion, and approval workflows before cloning a named person. Voice cloning can be useful, but it is not automatically lawful or appropriate in every jurisdiction.
5. Behavior-level measurement: Look beyond answer rate and call duration. The platform should capture whether the employee disclosed information, approved an action, verified independently, refused, ended the call, or reported it. Those outcomes are more useful for measuring training effectiveness than course completion alone.
6. Remediation: A failed simulation should trigger short, relevant feedback while the decision is still fresh. Check whether the follow-up reflects the action the employee took instead of assigning a generic course.
7. Integrations and evidence: Review identity synchronization, campaign targeting, ticketing or incident-reporting workflows, export options, audit logs, and executive reporting. Confirm that the data can support action without turning into a punitive scoreboard.
8. Language and regional delivery: Test the actual voices, phone coverage, accents, timing, and reporting in the countries where employees work. A language count on a product page does not prove equivalent scenario quality.
9. Safety and administration: Look for previews, test calls, scheduling controls, cooling periods, opt-outs or exclusions, and clear data-handling settings. The team should be able to run the program without creating unnecessary employee distress.

The best platform for a particular organization is the one that can reproduce its likely attack paths, capture the correct policy decisions, and operate within its legal and cultural constraints.

Five Recommended Vishing Attack Simulation Platforms

The following solutions have current first-party evidence of voice-simulation capability. They are listed alphabetically, not ranked. Features may vary by plan or region, so each recommendation includes a question to validate during a proof of concept.

Adaptive Security

Best for AI-native, personalized multi-channel programs.

Adaptive Security describes AI-generated simulations spanning email, SMS, voice, and coordinated multi-channel attack chains. Its product page highlights custom AI voice personas, scenarios informed by public information, employee-level risk scoring, and automated remediation after failures.

That combination fits teams that want to test a voice call as one step in a wider social-engineering sequence. It can also help organizations target scenarios by employee role and public exposure. During evaluation, ask Adaptive to separate live two-way calls from voicemails and callback requests. Test what the agent does when an employee interrupts, challenges the pretext, or attempts an approved callback. Review what public data is collected, how it is stored, and whether administrators can limit personalization.

Pros

• Email, SMS, voice, deepfake, and multi-channel coverage
• Public-data personalization and custom personas
• Automated employee-level remediation

Cons

• Public-data personalization requires careful privacy controls
• Exact live-call mechanics and regional availability need proof-of-concept validation

Arsen

Best for adaptive call scenarios and European-oriented teams.

Arsen says its generative-AI simulations deliver dynamic, unscripted calls that adapt in real time. Administrators can tailor scenarios to their business, adjust voice, tone, urgency, and tactics, and coordinate voice exercises with email follow-ups. The platform also describes reporting from organizational to individual level, with PDF, CSV, and API access.

Arsen is a strong candidate when conversational flexibility and scenario authoring are priorities. Its European footprint may also appeal to teams that want a vendor familiar with regional requirements, though location alone does not resolve a buyer’s privacy or telecom obligations. In a proof of concept, confirm supported countries and languages, test how the system classifies partial or ambiguous responses, and inspect the approval, consent, and retention controls around cloned voices and call records.

Pros

• Dynamic call behavior rather than a voicemail-only approach
• Control over scenario, voice, urgency, and tactics
• Coordinated email follow-ups and detailed reporting

Cons

• Language and telephony coverage should be verified for each region
• Buyers need to inspect consent, retention, and outcome-classification workflows

Brightside

Best for self-serve live vishing and controlled hybrid call-plus-email exercises.

Brightside’s vishing simulator is designed around live AI-powered phone calls and detailed campaign setup. Administrators define the attack goal and caller context, then configure the persona, opening message, social-engineering tactics, voice, tone, and urgency. The platform supports voice-only and hybrid campaigns that combine a call with a trackable phishing email. It also offers preset voices, custom voice cloning from a short recording, and an in-browser preview before launch. A separate walkthrough of the live-call workflow shows how those controls fit together.

Vishing-specific reporting covers answer and failure rates, call duration, totals, and trends. Cooling periods reduce repeated targeting, while failed simulations can trigger follow-up training. This makes Brightside a good fit for teams that want voice to be a first-class simulation channel rather than a small feature inside a broad course library.

Brightside is a simulation specialist, not a production call filter or deepfake detector. Teams seeking the largest general-purpose awareness catalog may prefer a wider suite. Custom cloning of an executive or other named person also requires documented consent and governance.

Pros

• Guided live-call design with persona, tactics, tone, and urgency controls
• Voice-only and hybrid call-plus-email campaigns
• Preview, vishing-specific metrics, cooling periods, and automatic follow-up training

Cons

• More specialized than broad awareness and LMS platforms
• Does not block malicious calls or detect synthetic audio in production

Hoxhunt

Best for large enterprises adding voice to a broader behavior-change program.

In July 2026, Hoxhunt introduced interactive voice-phishing training using AI voice agents. Its published material describes role-aware scenarios involving internal IT, finance, and help-desk requests, with measurement focused on whether employees verify, escalate, or comply. Voice sits within Hoxhunt’s wider adaptive phishing, human-risk, and security-operations workflows.

That wider context makes Hoxhunt relevant for enterprises that want voice simulation connected to an established behavior-change program rather than purchased as a separate specialist tool. The voice capability is new, however. Buyers should check where it is currently available, how administrators create or modify scenarios, whether reporting captures organization-specific verification steps, which integrations are live, and how voice exercises are packaged and licensed.

Pros

• Interactive AI voice-agent scenarios
• Role-aware IT, finance, and help-desk exercises
• Fits within a broader enterprise human-risk program

Cons

• Voice capability is newly introduced and may evolve quickly
• Availability, authoring depth, reporting, and licensing require current validation

Keepnet Labs

Best for broad multi-channel programs and widely distributed workforces.

Keepnet Labs offers a dedicated vishing simulator within a wider human-risk platform. Its product page describes customizable scenarios, AI text-to-speech, uploaded voice recordings, campaign reporting, immediate feedback, and targeted awareness training. It also claims support for more than 160 languages, which makes it worth evaluating for organizations with globally distributed employees.

Keepnet is suited to teams that want vishing alongside phishing, smishing, reporting, and training in a broad suite. Buyers should not assume that text-to-speech equals fully adaptive conversation. In a proof of concept, test how the call branches when an employee goes off script, how the system distinguishes refusal from confusion or silence, and whether the voices and training experience remain useful in each required language.

Pros

• Dedicated vishing workflows inside a broad human-risk suite
• Custom scenarios, uploaded recordings, reporting, and follow-up training
• Extensive claimed language coverage

Cons

• Text-to-speech and template interactivity are not the same as unscripted dialogue
• Conversation branching and language quality need direct testing

Use the Same Proof of Concept for Every Vendor

A controlled proof of concept is more useful than comparing marketing pages. Give every shortlisted vendor the same service-desk, finance, and SaaS scenarios. Use a small group that represents the relevant roles, with the appropriate approvals and employee-safety controls. Buyers who need a wider market scan can use the broader vishing simulation software buyer’s guide before narrowing the test group.

Score each platform on:

• Time required to build, review, and launch each scenario.
• How the call handles interruption, hesitation, refusal, unexpected questions, and callback attempts.
• Whether administrators can define and measure the exact policy actions that count as safe or unsafe.
• Coherence across email, SMS, and voice steps.
• Reporting accuracy, remediation quality, exports, audit evidence, and workflow integrations.
• Voice-consent controls, recording and transcript handling, retention, deletion, and regional delivery.
• Employee experience after both successful and failed responses.

Do not select a winner based on which platform produces the highest failure rate. A difficult scenario will naturally outperform an obvious one, and a system that misclassifies ambiguous answers can inflate results. Compare every product against the same scenarios and success criteria. Then choose the solution that fits the attack paths, operating model, languages, and governance requirements your organization actually has.

Vishing Attack Simulation FAQs

What is a vishing attack simulation?

It is a controlled security exercise that places simulated voice-phishing calls to employees and measures how they respond. The goal is to practice safe verification, refusal, escalation, and reporting without exposing the organization to a real attack.

What is the difference between a live AI vishing call and a prerecorded simulation?

A prerecorded simulation plays a fixed message or voicemail. A live AI call can respond during a two-way conversation, answer objections, and change tactics. Interactive template systems sit between those formats, using predefined branches rather than open-ended dialogue.

Which employees should receive vishing simulations first?

Start with roles that can reset access, move money, release sensitive data, authorize applications, or support senior leaders. This usually includes service-desk staff, finance and treasury, executive assistants, privileged users, contact-center teams, and executives.

How often should an organization run vishing simulations?

There is no universal cadence. Base frequency on role exposure, risk assessments, onboarding, changes to procedures, and recent incidents. Repeated practice is useful, but excessive targeting can create fatigue and undermine trust. Use cooling periods and vary scenarios deliberately.

Is it legal to clone an executive’s voice for a security simulation?

That depends on consent, employment and privacy law, telecom rules, data handling, and jurisdiction. Obtain documented permission from the person being cloned and review the campaign with legal, privacy, and HR stakeholders. Limit access to the recording and derived voice, define retention and deletion, and provide a non-cloning alternative when the governance case is unclear.