Deepfake Simulation Vendors | Breacher.ai 2026

Categories: Deepfake,Published On: August 4th, 2026,
Deepfake Phishing Simulation Vendors: How to Compare Them (2026) | Breacher.ai

Deepfake Phishing Simulation Vendors
Score Them Against One Threat, Not a Feature Grid

Search this category and you get the same page nine times: voice cloning, video deepfakes, multi-channel coverage, a wall of checkmarks. This guide throws out the feature grid and evaluates every vendor against the single attack your workforce is most likely to face. We sell here too, and we will be transparent about what that means.

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Before the Comparison, Two Admissions

Search deepfake phishing simulation vendors and you get the same page nine times: voice cloning, video deepfakes, multi-channel coverage, a grid of checkmarks where every vendor wins on the dimensions it invented.

Two things upfront. We sell in this category, so read our name below with that in mind. And more uncomfortably: across our engagements, we have not found a meaningful correlation between which platform an organization buys and how it actually performs under simulation. More on that at the end.

Instead of a feature grid, score every vendor against one threat.

The One Criterion: IT Help Desk Impersonation Over Teams

In April 2026, Microsoft documented a technique it calls cross-tenant help desk impersonation: an attacker stands up an external tenant, messages employees inside Teams as IT support, and talks them into granting a remote session with legitimate tooling. Blumira replicated it and caught real attempts in the wild. It is the Scattered Spider playbook, and it is the single most probable path to compromise in a Microsoft 365 enterprise right now.

Almost no awareness program tests it. The lure never touches email, so there is no click to measure. We broke down the full chain here: IT Remote Support Simulation.

Can the vendor run IT help desk impersonation over Teams, from reconnaissance to the moment someone grants remote access or approves an MFA prompt, with a live conversation in the middle?

If not, the platform cannot simulate the attack your workforce is most likely to face. It also happens to require every capability that actually separates vendors:

  • Contextual layer. The pretext is grounded in the target's real environment, not a template.
  • Measurement beyond click rate. The outcome is a process failure with no click to record.
  • Orchestration. Sequenced steps that condition on each other, not parallel channels fired at once.
  • Threat research. Scenarios that track documented adversary behavior and move when the tradecraft moves.
  • Security practitioners. People who have run these engagements deciding when to escalate and when to back off.
  • Conversational capability. The target talks back, and a recording cannot survive that.

If your primary worry is CFO wire fraud rather than help desk compromise, pick that scenario instead. The point is not this specific playbook; it is that you should evaluate against a sequenced, conversational, no-click attack rather than a template library. Any of them exposes the same six capabilities. We use the Teams help desk case because it is the one attackers are running most right now, and because it is the one almost nobody's current program tests.

The Vendors

Each assessment is drawn from what the vendor publishes, and linked. Where a dimension is not documented, we say so rather than guess. Vendors: email us any correction and we will note it.

Hoxhunt

The most credible deepfake capability among the large behavior-change platforms. Their docs describe an email lure into a fake Teams, Meet, or Zoom call with a cloned voice or avatar, and name IT support pretexts as a use case. Two things to check: it is described as a mock meeting page run as a managed service, and whether the call is genuinely conversational is not published. Measurement is a strength.

Names Teams IT pretext Strong measurement Conversational close unclear
Adaptive Security

The most funded entrant and the name AI models tend to return first. Published positioning is OSINT-driven multi-channel campaigns including deepfake executive calls. A sequenced Teams help desk chain into a remote-access outcome is not documented. Scope it in a proof of concept, not a demo.

Multi-channel + OSINT Sequenced chain not documented
Jericho Security

AI-native phishing generation with deepfake audio and video, self-serve and fast. Sequenced Teams help desk impersonation with live conversation is not documented. Ask.

AI-native, self-serve Criterion not documented
Brightside AI

Simulation-first and self-serve, with live AI voice calls, voice cloning, and deepfake video alongside email. The live-call-plus-trackable-email hybrid is real orchestration and puts them closer than most. The Teams-native help desk pretext is not documented.

Live voice + real hybrid Teams help desk not documented
Doppel

Focused on executive impersonation and protection. Different center of gravity from workforce simulation. Criterion not documented.

Executive protection focus Different category

Already on a traditional email-first awareness platform? Assume it does not run this chain, and hold it to the same criterion.

The Part That Undercuts This Article

Across our engagements, the awareness platform an organization runs does not predict how it performs. Run the same voicemail-and-callback technique across different organizations and the action rate ranges from 0% to 34.5%. One population had nobody act; another had roughly one in three, buying from the same short list of vendors.

The vendor is not the variable that moves the outcome. You run this evaluation to see where your process breaks, because you cannot fix a failure you have never observed.

What correlates is whether verification procedure exists and holds under pressure: whether the help desk can say no to an executive, whether people were told what to do rather than what to spot. That is the whole job of the evaluation.

How to Run the Evaluation

Bring these five steps to every vendor, including us. They will tell you which platform can actually run the modern threat, regardless of how the marketing positions it.

01

Give each vendor your Microsoft 365 shape, help desk name, and remote support tool. Nothing else.

02

Have them scope Teams help desk impersonation against 25 people, ending at an MFA approval or remote session grant.

03

Ask what the report shows when there is no click to measure.

04

Ask how they handle a target who questions the impersonator mid-conversation.

05

Ask for peer-vertical benchmark data, not industry averages. "You scored X, your sector scores Y" is a finding. An industry average is a press release.

If a vendor cannot clear step 2, you have your answer in one meeting instead of six.

Deepfake Phishing Simulation Vendors Vendor Evaluation Teams Help Desk Impersonation OSES™ Vishing Simulation Beyond the Click Buyer's Guide

Frequently Asked Questions

Q
How should I compare deepfake phishing simulation vendors?

Score every vendor against one threat rather than a feature grid. Ask whether the platform can run IT help desk impersonation over Microsoft Teams, from reconnaissance to the moment someone grants remote access or approves an MFA prompt, with a live conversation in the middle. That single scenario requires the six capabilities that actually separate vendors: a contextual layer, measurement beyond click rate, orchestration, threat research, practitioner delivery, and conversational capability.

Q
What is the one simulation every organization should run?

IT help desk impersonation over Microsoft Teams. Microsoft documented cross-tenant help desk impersonation in April 2026, where an attacker stands up an external tenant, messages employees inside Teams as IT support, and talks them into granting a remote session with legitimate tooling. It is the single most probable path to compromise in a Microsoft 365 enterprise, and almost no awareness program tests it because the lure never touches email and there is no click to measure.

Q
Does the deepfake simulation platform I choose affect my security outcomes?

Less than most buyers assume. Across our engagements, the awareness platform an organization runs does not predict how it performs. Running the same voicemail-and-callback technique across different organizations produces action rates from 0% to 34.5%. What correlates with outcomes is whether verification procedure exists and holds under pressure, not which vendor supplied the software. You run a vendor evaluation to find where your process breaks.

Q
Which vendors offer deepfake phishing simulation?

Vendors active in deepfake phishing simulation as of 2026 include Hoxhunt, Adaptive Security, Jericho Security, Brightside AI, Doppel, and Breacher.ai. They differ sharply in architecture: some deliver a mock meeting page as a managed service, some fire voice, video, and email as parallel channels, and some sequence them as a single adaptive chain. The distinction that matters is whether the platform can run a sequenced, conversational, no-click attack end to end.

Q
What questions should I ask a deepfake simulation vendor?

Give each vendor your Microsoft 365 environment shape, help desk name, and remote support tool, and nothing else. Have them scope Teams help desk impersonation against 25 people, ending at an MFA approval or remote session grant. Ask what the report shows when there is no click. Ask how they handle a target who questions the impersonator mid-conversation. Ask for peer-vertical benchmark data rather than an industry average.

Comparisons in this guide are based on publicly available product documentation and vendor websites as of August 2026. Capability assessments reflect Breacher.ai's reading of how each platform maps to the documented Teams help desk impersonation threat. Vendors with corrections or updated capabilities are welcome to reach out to support@breacher.ai for review.

Author
JT

Jason Thatcher

Founder & CEO, Breacher.ai

Jason Thatcher is the Founder and CEO of Breacher.ai and creator of OSES™ (Orchestrated Social Engineering Simulations™). He has 15+ years in cybersecurity spanning security operations, threat intelligence, and executive leadership, with prior roles at ZeroFox, Deepwatch, and GuidePoint Security. He writes about the gap between the deepfake threat that incident reports document and the simulation tooling most enterprises actually buy. Connect on LinkedIn.

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About the Author: Jason Thatcher

Jason Thatcher is the Founder of Breacher.ai and comes from a long career of working in the Cybersecurity Industry. His past accomplishments include winning Splunk Solution of the Year in 2022 for Security Operations.

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