Deepfake Phishing Simulations | Breacher.ai
We run the entire attack, so you see exactly where your defenses break
We design, launch, and operate every engagement end to end: voice cloning, live video, and multi-channel scenarios built around your environment. Zero footprint, no IT integration, no lift from your team, just board-ready evidence of where your defenses hold and where they fail. And because every simulation runs on OSES™ (Orchestrated Social Engineering Simulations), you get the one thing click-rate tools and detection quizzes can't deliver: an accurate measure of whether your processes and controls actually hold when a coordinated adversary applies pressure across every channel at once.
Three methods. Only one measures risk.
- Single channel, single stage
- Stops at the click, never the outcome
- Blind to voice, video, and multi-channel chains
- Reports behavior, not control failure
- No view of how far an attacker gets
- Grades a skill almost no one reliably has
- Assumes eyesight is the defense
- Ignores the process that should catch it
- Score doesn't translate to real exposure
- No connection to money, access, or identity
- Orchestrated, conditional, multi-stage kill chain
- Tests process resilience, not individual gullibility
- Full coverage: voice, video, chat, email, live
- Stage-by-stage map of where controls fired or failed
- Board-ready risk tied to real business outcomes
Three ways conventional testing measures the wrong thing
If your assessment produces a click rate or a "spot-the-fake" score, it is measuring individual behavior in a single moment, not the organizational resilience that determines whether money moves, access is granted, or an identity is trusted.
Click rates measure a moment, not an outcome
A click is one action inside a much longer chain. It tells you nothing about whether a wire got approved, an MFA reset was granted, or a caller was verified out of band. The failure that matters happens several steps later, and click-rate tooling never sees it.
Detection tests grade the individual, not the control
Only a small fraction of people can reliably distinguish synthetic voice and video from the real thing, and that number won't move enough to matter. Testing whether an employee can "spot the deepfake" measures a skill no one can be trained to reliably possess. The defense was never supposed to be human eyesight.
Single-channel sims test an adversary that no longer exists
Real attacks are orchestrated across voicemail, SMS, email, chat, and live video, each stage engineered to make the next one land. A standalone phishing email is a museum piece. If your test fires one channel in isolation, it cannot reproduce the trust an orchestrated chain manufactures.
What OSES™ actually does differently
Orchestrated Social Engineering Simulations replicate the attacker's kill chain, not a checklist of channels. Where legacy platforms fire every channel in parallel and count who bit, OSES runs a conditional, multi-stage sequence, with each move gated on the response to the last, exactly the way a human adversary escalates. A ringless voicemail seeds familiarity. The follow-up SMS goes "hot" because the platform has already transcribed the voice. A cloned-voice call converts that familiarity into urgency. A live video deepfake closes it.
Because every stage is orchestrated, we don't measure whether a person noticed something. We measure whether your process held at the exact point it was designed to: Did the wire approval demand out-of-band verification? Did the service desk enforce identity proofing before resetting MFA? Did KYC reject a synthetic face? The result isn't a gullibility score. It's a map of which controls fired, which failed, and how far an attacker travels before something real stops them.
Process resilience: the only number that predicts real loss
Does the process hold under pressure?
We test the verification workflow, not the individual. When a trusted face demands an urgent, out-of-policy action, the question is whether your control forces a second channel, regardless of who's being fooled in the moment.
How far does an attacker get?
Every engagement produces a stage-by-stage progression map. We show precisely where the chain was interrupted, or where it ran unimpeded all the way to money movement, access, or a fraudulent hire.
Does verification actually happen?
Policies say to "verify out of band." OSES tests whether that verification occurs when a convincing impersonation makes it inconvenient: the gap between a written control and a control that fires under stress.
A conditional kill chain, gated at every stage
Each stage advances only when the previous one succeeds, the same escalation logic a real adversary uses. At every gate, we record whether a control fired.
Seed familiarity
Ringless voicemail or benign contact establishes a perceived prior relationship the target's tools now treat as trusted.
Warm the channel
A follow-up SMS or email lands "hot": auto-transcription and prior contact quietly bypass link-protection layers.
Apply the clone
Cloned-voice call or live video of a trusted leader converts familiarity into urgency and an out-of-policy request.
Force the action
The wire, the reset, the access grant. The decisive test: does an out-of-band verification requirement stop it?
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About the Author: Jason Thatcher
support@breacher.ai
