Best Vishing Simulation Platforms 2026: Top 7 Compared
Best Vishing Simulation Platforms 2026: Top 7, Scored on What Each One Can Actually Run
Almost every vendor in this category can now hold a live AI phone conversation. What separates the best vishing simulation platforms is what happens around the call: the research that makes it a spear vishing pretext, the voicemail that starts it, the callback that finishes it, and whether each step knows what the last one did.
Attackers do not make one call. Why does your simulation?
How we scored them
Each platform below is scored on what the vendor publicly documents as of October 2026: their own product pages, launch announcements, pricing pages and published comparisons. A blank cell means we could not find a public claim, which is not the same as the capability being absent. Several of these vendors gate documentation behind a demo.
Full disclosure: Breacher.ai is one of the seven, which is exactly why every cell is sourced to public documentation and open to vendor correction. Hold our column to the same standard as everyone else's. For the wider deepfake category, see our deepfake simulation platform buyer's guide.
If your goal is measuring real exposure to voice-led social engineering, the order below is the order we would shortlist in. If you only need a stock compliance library with voice added as one more module, each entry says which platform suits that program best.
Security is not a one-size-fits-all approach.
Three bands of vishing simulation
Before the vendors, the architecture. Every product here sits in one of three bands, and the band decides what the report can contain.
Recorded or IVR
Reproduces a phone call, but not a conversation. Pre-recorded messages and press-a-key prompts, scored on whether the target pressed a button.
Does well. Cheap, scalable, and easy to evidence for an auditor.
Stops at. Nothing answers back. It cannot test a help desk, an objection, or a target who asks a question, which is where real calls are won.
Live AI voice
Reproduces the conversation, but not the campaign. Live adaptive voice agents, cloned voices, objection handling. Most of the platforms on this list are here, and the better ones are very good.
Does well. Believable calls at scale, multilingual voices, and real two-way pressure on the target.
Stops at. Each call runs as its own campaign and is scored on its own. The voicemail, the callback and the meeting invite, if they exist at all, are separate events that do not know about each other.
Orchestrated
Reproduces the campaign as one connected event. A voicemail lures the callback. The agent that answers already knows which voicemail the target heard. Hesitation escalates to a text or a live meeting invite from the same persona. Every step reads what the target did in the step before, and the sequence terminates at a named consequential action. This is the band we build in, under OSES® (Orchestrated Social Engineering Simulations).
Does well. One result for the whole sequence, a report that names the process rather than the person, and metrics anchored to action and verification rather than engagement.
What it asks. A short scoping step: naming which processes are in scope and which consequential action ends the sequence. That decision is what makes the result defensible in front of a board or an auditor.
Ten criteria, seven platforms, scored on public evidence
Start here if you are shortlisting. Live AI voice no longer separates anyone; every platform scores there. The rows that separate them are AI spear vishing, callbacks, voicemail, orchestration and live meeting delivery.
- ● Documented
- ◐ Partial, or documented with a material caveat
- ○ No public claim found
| Criterion | Breacher.ai | Adaptive | Arsen | Hoxhunt | Doppel | Brightside | Mirage |
|---|---|---|---|---|---|---|---|
| Live two-way AI voiceA real conversation, not a recording | ●YesConversational agents, outbound and inbound | ●YesReal-time cloned-voice calls | ●YesUnscripted, handles objections | ●YesInteractive AI voice agents | ●YesConversational attack simulation | ●YesAdapts in real time to responses | ●YesAI-generated voice calls |
| Voice cloningAn approved real voice, not a stock one | ●YesCloned executive voices | ●YesFrom a few seconds of audio | ●YesPlus multilingual, accent-aware voices | ●YesApproved executives | ●YesVia an ElevenLabs integration | ●YesClone created in seconds | ●YesCloned executive voices, per its voice vendor's case study |
| AI spear vishingPretext built from OSINT on the specific target | ●YesOSINT research anchored per target feeds persona and pretext | ●YesVoice simulations generated from employee OSINT | ◐PartialLeadership-focused vishing; OSINT framed as exposure monitoring | ○No claimPersonalizes difficulty per user, not the pretext | ◐PartialPublic data and detected threats shape scenarios; per-target voice tailoring not stated | ●YesOSINT-driven personalization | ◐PartialExecutive impersonation focus; OSINT research not documented |
| Callback simulationTarget dials a number and reaches an agent | ●YesSpoofed number answered by an autonomous voice agent | ○No claimLures documented; inbound agent not described | ●YesCallback scenarios, self-serve | ●YesCallback phishing added | ○No claim | ○No claim | ○No claim |
| Voicemail dropsA voicemail that starts the sequence | ●YesVoicemail into callback, run in live engagements | ●YesDeepfake voicemail shown on product page | ○No claim | ○No claim | ○No claim | ○No claim | ○No claim |
| OrchestrationA later stage branches on what the target did earlier | ●YesOSES® conditional sequencing is the product | ◐PartialChannels reinforce one another; branch logic not stated | ◐PartialMulti-step with follow-up emails; branch logic not stated | ○No claimAdapts training difficulty per user, not the attack chain | ◐PartialMulti-step campaigns; branch logic not stated | ◐PartialHybrid voice plus email; branch logic not stated | ○No claimVoice, SMS and email; sequencing not described |
| Deepfake video | ●YesLive avatar that joins the call and converses | ●YesVideo avatars; live meeting delivery not documented | ●YesExecutive likeness inside a replica call | ●YesVideo scenarios are pre-scripted | ◐PartialVideo documented for training content | ◐PartialManaged engagement only | ◐PartialZoom impersonation referenced; format not documented |
| Microsoft TeamsSimulated attack delivered in a Teams meeting | ●YesLive in the real app | ○No claimChat messages only | ◐PartialReplica of the Teams interface | ◐PartialSimulated meeting window | ●YesMeetings documented | ○No claim | ○No claim |
| Zoom | ●YesLive in the real app | ○No claim | ◐PartialAnnounced as coming next | ○No claim | ●YesMeetings documented | ○No claim | ◐PartialZoom impersonation referenced, not documented by the vendor |
| Google Meet | ●YesLive in the real app | ○No claim | ◐PartialAnnounced as coming next | ○No claim | ○No claim | ○No claim | ○No claim |
Compiled from each vendor's public materials on 27 October 2026. Capability behind a login is real capability, it is simply not something we can check. If you represent a vendor listed here and a cell is wrong or out of date, tell us and we will correct it.
The seven platforms
In the order we would shortlist them for a program whose goal is measuring exposure to voice-led social engineering. If your goal is training coverage, the order changes, and each entry says who it is best for.
Breacher.ai
Orchestrated vishing and deepfake simulationDoes well. OSINT-researched AI spear vishing, voicemail drop, inbound callback to a live AI voice agent, and a two-way live deepfake avatar inside Teams, Zoom and Meet, run as one conditional sequence under OSES®. Reports action, verification and process hold rates against a named consequential action rather than per-user click scores.
By design. Training is generated from your own policies, procedures and findings in minutes, so it matches your runbook instead of a stock catalogue. Findings name the procedure, not the person, and every engagement is scoped to the consequential actions that matter to you.
Best for. Teams that need a defensible exposure figure and want help desk, finance and IT support procedures tested end to end.
Adaptive Security
AI-native awareness platform with deepfake voiceDoes well. Real-time cloned-voice calls from a few seconds of audio, deepfake voicemail lures, video avatars, SMS and email from one admin console, plus a large training library and per-employee risk scores. Well funded and shipping fast.
Stops at. No live meeting simulation, inbound callback agent, or branch logic between stages publicly documented. Leads with deepfake artifact-spotting content, which we treat as a decaying control.
Best for. Organizations replacing a legacy awareness vendor that want deepfake voice included in the same contract.
Arsen
Voice-first social engineering simulation, self-serveDoes well. Unscripted generative voice agents that handle objections, multilingual and accent-aware cloned voices, callback scenarios, and multi-step campaigns with follow-up emails. Its deepfake video call product reports a clean funnel from invite to compromise.
Stops at. The video call is a pixel-accurate replica of the meeting interface rather than the real app, available for Teams with Zoom and Meet announced. Branch logic between stages is not publicly described.
Best for. Security teams that want to configure and launch vishing scenarios themselves, at scale.
Hoxhunt
Human risk management with AI voice agentsDoes well. Interactive voice phishing with AI voice agents, callback phishing, Teams and SMS channels, deepfake video, and an engine that adapts difficulty to each user. Large review base and original threat research from its own volume.
Stops at. Voice is one channel inside an adaptive training program rather than an attack chain, and meetings are a simulated window rather than a live call. Measurement centres on the individual.
Best for. Programs built around behaviour change and per-user training cadence.
Doppel
Simulation fed by live threat intelligenceDoes well. Turns attacks its brand protection product detects into simulations in one click, includes conversational vishing with cloned voices for simulation customers at no extra cost, and documents helpdesk process testing in detail.
Stops at. The strongest value assumes you also run Doppel's digital risk protection. Callback and voicemail flows are not documented, and video centres on training content.
Best for. Organizations already using Doppel for brand and executive protection.
Brightside AI
Vishing-focused, with published pricingDoes well. Live AI voice calls with cloned voices, hybrid voice plus email sequences, OSINT-driven personalization, and per-seat pricing on its own site, including a free entry tier and a standalone vishing option.
Stops at. Voice only on the self-serve side; video is a managed engagement. No published SOC 2, SCIM or named enterprise customers as of this review.
Best for. Mid-market teams that want affordable live vishing running quickly.
Mirage Security
AI voice impersonation aimed at the help deskDoes well. AI-generated voice, SMS and email simulations with a clear focus on executive impersonation against IT help desks, and training tailored to each employee's behaviour, role and company policy. Its voice vendor reports cloned executive voices that most participants believed were real.
Stops at. The thinnest public record on this list: no published customers, reviews, certifications or pricing, and no documented callback, voicemail or sequencing logic. Expect to validate everything in a proof of value.
Best for. Teams whose first concern is help desk impersonation and who are comfortable evaluating an early-stage vendor.
Have us run this against your organization
Describe the call you actually worry about: who would ring, what they would ask for, and where the loss would land. We will reproduce it end to end, voicemail to callback to live meeting, and show you where it terminated and what your process did.
No obligation, and nothing runs against your people without a signed scope. If you would rather just talk it through first, that is fine too.
Callbacks and voicemail are where vishing programs go blind
Many real voice attacks never start with an outbound call. They start with a voicemail, an email or a text that persuades the target to dial a number, and the damage happens on that inbound call, where the target feels in control because they placed it.
Spear vishing makes it worse. When the voicemail names the target's real manager, real vendor and real deadline, the callback feels like due diligence rather than risk. See how that plays out in our AI spear vishing field findings.
A platform that can only place outbound calls cannot test that moment. A platform with nothing answering the callback cannot measure what the target disclosed once they dialled. And a platform where the voicemail, the callback and the follow-up are separate campaigns reports three tidy numbers that never add up to the one that matters.
Full write-up: agentic voice red team case study.
Multi-channel is not orchestrated
Vendors use the two words as if they mean the same thing. They do not, and the difference is the gap between the second band and the third.
The platform can reach someone by voice, text, email and video. Each channel runs as its own campaign and is scored on its own. Some platforms fire them in a preset order, which is sequencing, not orchestration.
One campaign with shared state. An ignored email triggers a voicemail. The agent that answers the callback knows what the target already clicked. A target who verified independently at stage two never sees stage three, and that fact is itself a finding.
Six questions to ask every vishing vendor
- Where does the pretext come from? If every target hears the same script, you are testing a generic call, not AI spear vishing. Ask what research feeds each call and how it is recorded.
- What answers when the target calls back? If the answer is nothing, or a recording, you cannot test callback attacks.
- Can you leave a voicemail, and does the callback know which voicemail it is answering? If not, the two are separate campaigns.
- What does stage two do differently when stage one succeeds? Ask them to describe the branch logic out loud. A vendor who can only list channels is describing multi-channel.
- Is the video a live participant in our real Teams, Zoom or Meet tenant, or a replica? A replica is easier to deploy. A real tenant also tests your guest banners, external participant warnings and lobby controls.
- Where does the sequence terminate? Name the consequential action before the run: an MFA re-enrollment, a payment change, a remote session accepted. If nobody can name it, the report has nothing to anchor to.
Why the best platform is the one that shows you the procedure
A workforce that invokes process defeats our red teams. Users who only spot fakes do not, consistently. Across our engagements, what separates organizations that hold from those that do not is whether a verification procedure exists and executes under pressure: whether the help desk can say no to an executive's voice, and whether people were taught what to do rather than what to spot.
That is the job an orchestrated platform does. It runs the full sequence through to the decision point, shows you procedure by procedure where it held, and generates training aligned to your own runbook for where it did not. You cannot fix a failure you have never observed. The methodology behind this is in our 2026 deepfake benchmark.
“Kudos to your entire team. We haven't even seen the report and the whole company is talking about the risks of voice cloning. It's been a huge win for us already.”
Measure your risk.
Train for what you find.
Prove it changed.
Bring your own sequence. We will run it end to end and show you where it terminates.
Book Your DemoFrequently asked questions
A vishing simulation platform places controlled voice phishing calls to employees, or answers calls they place back, to measure whether people and procedures hold up against phone-based social engineering. Modern platforms use live AI voice agents and cloned voices rather than recorded messages.
AI spear vishing simulation is a targeted voice phishing test in which the pretext for each call is built from open-source research on the specific person or role: who they report to, which vendors they work with, which approvals they hold. An AI voice agent then delivers that pretext live and adapts to the conversation, instead of reading one generic script to everyone.
At minimum: hold a live two-way conversation, clone an approved voice, research a target well enough to run a believable spear vishing pretext, answer when a target calls a number back, and leave a voicemail that starts the sequence. The strongest platforms also connect those steps so each one reacts to what the target did in the step before, and carry the sequence into a live Teams, Zoom or Google Meet call.
Multi-channel means the platform can reach a target by voice, SMS, email and video, with each channel run and scored on its own. Orchestrated means one campaign with shared state: what the target did on one channel decides the next move on another. If a vendor cannot describe the branch logic between stages out loud, they are describing multi-channel.
Many real voice attacks start with a voicemail, an email or a text that persuades the target to call a number, and the damage happens on that inbound call. A platform that can only place outbound calls cannot test the moment the target dials, and a platform with nothing answering the callback cannot measure what the target disclosed once they did.
Based on public documentation as of October 2026: Breacher.ai documents live delivery inside Teams, Zoom and Google Meet. Doppel documents Teams and Zoom meetings. Arsen runs a replica of the Teams meeting interface, with Zoom and Meet announced. Hoxhunt uses a simulated meeting window. The other platforms reviewed did not publicly document meeting delivery.
Visibility into your procedures. What separates organizations that hold from those that do not is whether a verification procedure exists and executes under pressure, such as a callback to a known-good number before a credential reset or payment change. A platform earns its place when it can run the full sequence through to that decision point and show you, procedure by procedure, whether it held.
See an Orchestrated Vishing Run
Thirty minutes. We walk a real OSES® engagement from voicemail to callback to live meeting, and you decide whether your process would have held.
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About the Author: Jason Thatcher
support@breacher.ai
