Deepfake Phishing Simulations | OSES™ by Breacher.ai

Categories: Deepfake,Published On: June 25th, 2026,
Deepfake Phishing Simulations: How OSES Testing Works (2026) | Breacher.ai
OSES™ · Orchestrated Social Engineering Simulations

Deepfake Phishing Simulations:
Test the Process, Not the Click.

Deepfake phishing simulations are authorized security exercises that test your organization against AI-generated voice, video, and multi-channel social engineering, the way real attackers now operate. Unlike an email-only phishing test that records whether one person clicked, an orchestrated simulation measures whether your process holds when a cloned voice, a spoofed video call, and a follow-up message all arrive together.

What Are Deepfake Phishing Simulations?

A deepfake phishing simulation is an authorized security test that uses AI-generated voice, video, and multi-channel messaging to imitate a real attacker and measure how your people and processes respond. Where a traditional phishing test records whether an individual clicked a link, a deepfake phishing simulation tests whether your verification and escalation controls hold when synthetic media and messaging arrive together as one coordinated campaign.

For fifteen years, security awareness measured one thing: did the user click? That was a reasonable proxy when email was the whole attack surface and the worst outcome was a credential on a fake login page. It no longer describes the threat. The financially motivated attacker running a wire-fraud or vendor-fraud play is no longer sending one email and hoping.

In Breacher.ai testing, the gap is stark. The numbers below come from our own orchestrated assessments across enterprise environments, and they explain why an email-only click rate tells you almost nothing about whether you would survive a real deepfake campaign.

92%of organizations are vulnerable to deepfake social engineering
78%rate as highly vulnerable under orchestrated pressure
63%of users cannot distinguish synthetic media from real
8%show no susceptibility, not enough to save the other 92%

A phishing test asks “did a person fail?” An orchestrated simulation asks the question that matters: “did the organization?”

What Is Deepfake Social Engineering?

Deepfake social engineering is a coordinated attack that combines AI-cloned voice, live deepfake video, and messaging across channels so that each touch corroborates the last. Instead of a single deceptive email, the attacker builds trust the way a real operator does. A voice call sets up an email, the email references a calendar invite, and the chain continues until a request to move money or grant access feels fully verified.

The tradecraft is now cheap and widely available. Attackers reconstruct a voice from a few seconds of conference audio, spin up a live video likeness of a finance executive, and sequence those across Teams, phone, and email so each channel vouches for the next. By the time a wire request lands, three independent-feeling channels have already endorsed it.

A click rate tells you nothing about whether your organization survives that. It tests the weakest link in isolation and ignores the only thing that actually stops the attack: the process that is supposed to catch it.

Why the Email-Only Phishing Simulation Has Aged Out

When a single email gets a 14% click rate, the remediation is more training and a sterner memo, and next quarter the number drifts back. You have measured human fallibility, which is a constant, and tried to train it to zero, which is impossible.

That is the trap. The 8% of users who show no susceptibility at all in our testing do not save you, because the attacker only needs the other 92% to find one path through. An email-only program optimizes the one metric that an orchestrated attacker is happy to let you keep improving.

An orchestrated deepfake phishing simulation produces a different artifact: a map of where your process held and where it collapsed. If a cloned-voice request for an emergency wire sailed past three people but was stopped by a mandatory call-back-on-a-known-number control, you have proof the control works. If it was not stopped, you have found a specific, fixable gap in a named procedure that no amount of awareness training would have surfaced.

How OSES Orchestrated Deepfake Simulations Work

OSES™ (Orchestrated Social Engineering Simulations) is built on a simple observation: real social engineering is a campaign, not a message, so the simulation has to be one too. Four properties separate an orchestrated deepfake simulation from a phishing test: it is multi-channel, it uses authorized synthetic media as the payload, it is sequenced over time, and it is targeted at your process rather than at individuals. From there, every engagement moves through four disciplined phases, each one scoped and authorized before anything is sent.

Phase01

Scope the Process, Not the Population

We start from the controls that are supposed to stop fraud (wire authorization, vendor changes, credential resets, executive requests) and design the campaign to apply pressure precisely where those controls live.

  • Control-mapped objectives
  • Wire & vendor-change paths
  • Rules of engagement defined
  • Authorized scope, agreed up front
Phase02

Build the Orchestrated Campaign

Authorized synthetic audio and video of a known, trusted figure are produced under controlled conditions and sequenced across channels into a realistic, internally consistent narrative. It is the same tradecraft a motivated adversary would use, run safely.

  • Voice cloning from short sample
  • Live deepfake video
  • Multi-channel sequencing
  • Bespoke personas
Phase03

Execute and Observe the Control Points

As the campaign unfolds over hours or days, we track every decision point: who verified, who escalated, who confirmed out-of-band, and where the chain of corroboration should have broken but did not.

  • Decision-point tracking
  • Verification & escalation capture
  • Out-of-band confirmation checks
  • Timed, staged touchpoints
Phase04

Report Against Controls, Not Blame

Findings name the procedure that failed and the owner who can fix it, mapped to your control framework and benchmarked against peers, so the work converts directly into hardened process and board-ready evidence.

  • Control-framework mapping
  • Named owner per finding
  • Peer benchmarking
  • Board-ready evidence

What Makes the Best Deepfake Phishing Simulation Platform?

The best deepfake phishing simulation platform tests process resilience, not individual click rates. It orchestrates across voice, video, email, and chat; uses authorized synthetic media of a known figure rather than generic templates; sequences campaigns over time; maps success to your verification and escalation controls; is delivered by practitioners under defined rules of engagement; and reports findings that name the failed control and benchmark you against peers.

The fastest way to evaluate a vendor is to hold their approach against the attack you are actually trying to survive. Most "deepfake" offerings are an email phishing platform with a synthetic-media add-on; an orchestrated platform is built around the campaign from the start.

Email-Only Phishing Platform

Tests the Person

  • Single channel, single touchpoint
  • Measures individual click rate
  • Generic templates, no trusted likeness
  • Remediation is more training
  • Tests the weakest link in isolation
  • Result drifts back every quarter
Orchestrated Deepfake Platform (OSES)

Tests the Process

  • Multi-channel, sequenced campaign
  • Measures process resilience
  • Authorized synthetic media of a known figure
  • Remediation is a specific control fix
  • Tests the system that catches failure
  • Result is a verifiable, durable finding

If you are comparing the best deepfake phishing simulation platforms, use these criteria as a checklist:

  • Multi-channel orchestration across voice, video, email, and chat, not email alone
  • Authorized synthetic media of a known, trusted figure
  • Campaigns sequenced over time, not single-shot blasts
  • Success criteria mapped to your verification and escalation controls
  • Practitioner-led delivery with defined rules of engagement
  • Reporting that names the failed control and its owner
  • Peer benchmarking that produces board-ready evidence
  • Authorized, bounded execution with a sound security posture

The Bottom Line

Individuals will always be fooled by good-enough fakes: that is why 63% cannot tell synthetic from real, and why training to zero is a fantasy. A resilient organization does not depend on nobody ever being deceived. It depends on a process that catches the consequences of deception before money moves or access is granted.

An orchestrated deepfake phishing simulation is the only way to find out, before an attacker does, whether yours actually holds. The point is not to catch people. It is to prove your controls work, or to find the exact gap where they do not.

The point is not to catch people. It is to prove your controls hold, on your terms, not the attacker’s.

Deepfake Phishing Simulations Deepfake Social Engineering Best Deepfake Phishing Simulation Platform OSES™ Orchestrated Social Engineering Deepfake Red Team AI Social Engineering

Frequently Asked Questions

Direct answers to the questions security leaders ask most about deepfake phishing simulations and orchestrated social engineering testing.

Q
What is a deepfake phishing simulation?

A deepfake phishing simulation is an authorized security test that uses AI-generated voice, video, and multi-channel messaging to imitate a real attacker and measure how your people and processes respond. Unlike an email-only phishing test that records whether an individual clicked, it tests whether your verification and escalation controls hold when a cloned voice, a spoofed video call, and a follow-up message arrive together as one campaign.

Q
How is deepfake social engineering different from traditional phishing?

Traditional phishing is usually a single email designed to harvest a credential. Deepfake social engineering is a coordinated campaign that combines AI-cloned voice, live deepfake video, and messaging across channels so each touch corroborates the last. By the time a request to move money or grant access arrives, several independent-feeling channels have already vouched for it, which is why detection that relies on individual suspicion fails.

Q
What makes the best deepfake phishing simulation platform?

The best deepfake phishing simulation platform tests process resilience, not individual click rates. Look for multi-channel orchestration across voice, video, email, and chat; authorized synthetic media of a known, trusted figure; campaigns sequenced over time; success criteria mapped to your verification and escalation controls; practitioner-led delivery with defined rules of engagement; reporting that names the failed control and its owner; and peer benchmarking that produces board-ready evidence.

Q
Are deepfake phishing simulations legal and safe to run?

Yes, when they are run as authorized engagements with rules of engagement agreed in advance. A professional deepfake phishing simulation is scoped, bounded, and authorized by the organization being tested, with synthetic media produced under controlled conditions of a consenting internal figure. The objective is to test controls safely before a real attacker does, not to deceive staff without oversight.

Q
Can deepfake phishing simulations test voice and video, not just email?

Yes. The whole point of an orchestrated deepfake phishing simulation is that it is not limited to email. It uses AI voice cloning from a short audio sample and live deepfake video on common conferencing tools, sequenced alongside email and chat, so the test reflects how a real attacker chains channels together rather than testing a single inbox.

Q
How does Breacher.ai’s OSES methodology work?

OSES (Orchestrated Social Engineering Simulations) is Breacher.ai’s practitioner-led methodology. It scopes the controls that are supposed to stop fraud, builds an authorized multi-channel deepfake campaign, executes it while tracking every verification and escalation decision point, and reports findings against your control framework, naming the procedure that failed and the owner who can fix it, then benchmarking the result against peers.

Statistics cited (92% vulnerable, 78% highly vulnerable, 8% no susceptibility, 63% unable to distinguish synthetic from real) are drawn from Breacher.ai orchestrated social engineering assessments across enterprise environments. Figures reflect aggregate testing results and will vary by organization, sector, and engagement scope.

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 built Breacher.ai from a practitioner’s view of defender blind spots and writes about how enterprise security teams can move beyond awareness training into realistic deepfake readiness. Connect on LinkedIn.

Does your security awareness training test people, process, and technology? Breacher.ai does.

See Where Your Process Breaks, on Your Terms, Not Theirs

Scope an OSES™ deepfake phishing simulation against the controls that matter most. Breacher.ai orchestrates live AI social engineering across voice, video, and email, then benchmarks the results so you can show the board where you stand and what improved.

Live engagement scoping
Multi-channel deepfake test
Sample deepfake demo
Board-ready benchmarking
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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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