Deepfake Awareness Training
Your awareness platform teaches people about deepfakes. We let them experience one, then train them the second it happens.
A deepfake awareness training platform built on live OSES™ simulation. Run voice, video, and Teams scenarios against your own people, train everyone who engages in the moment, and use the AI Concierge to build tailored awareness training from your own policy.
Augment the platform you have, or replace it outright.
"The entire company is already talking about voice cloning and the risks. It's been a huge win for us, without even seeing any of the actual results yet."
CISO, Bank (North America)
Why standard security awareness training leaves you exposed
Most platforms measure whether someone clicked. That number tells you almost nothing about whether your organization would survive the attack.
Email tests don't reflect how attacks actually start.
Orchestrated campaigns open with a voice call, a video message, or a meeting invite, and only then follow up by email. A single-channel test measures what happens at the inbox. It cannot simulate the contact that made the email believable in the first place, which is the part that does the real work.
People can't recognize a threat they have never encountered.
A training module about voice cloning is not the same as taking a call from a convincing clone of your CFO. Reading about synthetic media builds awareness. Experiencing it under controlled conditions builds recognition. Only one of those holds up when it happens for real.
Click rate is the wrong number.
When a fraudulent wire actually goes out, three things failed: the tooling did not stop it, the process did not hold, and a person took the wrong action. A click rate captures none of that. Your people are the first line of defense and the last one, and the training has to reflect both roles. Measuring individuals misses where the risk actually lives.
Everything runs on OSES™
OSES™, Orchestrated Social Engineering Simulations, is our framework for multi-vector attack simulation and the spine of every AI-powered social engineering training program we run. Real adversaries build trust across several touchpoints before they ask for anything. OSES™ reproduces that sequence, and every capability below plugs into a stage of it. That is what makes the training land: your people rehearse the attack in the order it will actually arrive.
OSES™ is a trademark of Breacher.ai. It was built for orchestrated, multi-channel synthetic media attacks from the ground up, not adapted from an email phishing playbook. The contextual layer is the part most simulation frameworks leave out, and it is the part that makes the attack work.
One engine. Every capability, mapped to a stage.
Simulation and training are two halves of the same system. The simulation layer creates the moment. The training layer uses it. Buy them together or separately, and run them with your own team.
Simulation layer
Creates the teachable moment · OSES™ stages 01 to 04We map what an attacker would see: your org chart, your executives, your vendor relationships, your published processes. Every scenario is built from that reconnaissance, so the pretext matches how your business actually operates instead of a generic template.
Cloned voice campaigns that place outbound calls, hold a live conversation if answered, leave a callback voicemail if not, and handle the inbound callback autonomously. This is where most orchestrated attacks begin, and where most awareness programs have no coverage at all.
Synthetic video impersonation delivered inside the collaboration tools your people already trust: Teams, Meet, Zoom. A meeting invite from a familiar face carries authority that no email ever will, which is exactly why it needs to be rehearsed.
Email, SMS, and calendar sequencing timed against the earlier contact. This is the stage a standard phishing platform runs in isolation, and running it in isolation is why the results have stopped meaning anything.
Pressure-test the verification steps themselves. Can a convincing voice talk your help desk into a password reset? Can a synthetic face clear your identity check? The control either holds under a real attempt or it does not.
Facilitated scenarios for leadership and incident response teams, driven by the same synthetic media the simulations use. Useful when you need decision-makers to feel the problem rather than read a summary of it.
Training layer
Uses the moment · OSES™ stage 05 · builds on any topicDescribe the risk you want covered and the Concierge builds the awareness training around it: scenarios, narrative, assessment. Any topic, not just synthetic media. Phishing, insider threat, data handling, physical security, whatever came out of your last risk assessment. Your team gets a working module out of a conversation instead of a content request and a six-week wait.
Point it at your own policy documents and it generates training that teaches your actual rules: your wire approval thresholds, your acceptable use policy, your data classification tiers, your escalation path. Works across your whole policy set, not one threat category. Training that matches what people are held to, rather than a generic best practice.
A conversational agent picks up immediately after an interaction and walks the person through what just happened, in dialogue rather than a slide deck. It answers the question they actually have, which is usually some version of "how was I supposed to catch that?"
Video that stops and asks. The scenario plays out, the viewer decides what they would actually do, and the branch follows their choice through to the consequence. Built from your own engagement footage rather than stock actors in a generic office, so people recognize the org chart, the tooling, and the situation on screen.
Scenario-based modules mapped to how each function is actually targeted: wire fraud for finance, credential resets for the help desk, onboarding fraud for HR. Delivered as SCORM so they drop straight into the LMS you already run.
Short reinforcement sequences that run between engagements, including deepfake simulation for security awareness, so recognition does not decay in the eleven months after annual training. Built to be scheduled and forgotten about, not managed.
Independent assessment documentation covering scenario design, susceptibility by function, and remediation priorities. The artifact auditors, insurers, and regulators ask for when they want proof the testing happened.
Your results set against 1,000+ simulations across enterprise engagements, reported at the organizational level. We measure the odds of an action occurring across the population, not a risk score attached to individual employees.
Training aligned to how each team gets targeted
Attackers do not treat finance and facilities the same way, so the training should not either. Each module is built around the scenarios that function is most likely to face, based on role, department, and access level, and tied directly to what the simulation surfaced. These ship as a starting library covering synthetic media. Your team edits any of them, or builds new ones on any subject in your program: phishing, data handling, insider threat, physical security, whatever your risk assessment put on the list.
From kickoff to trained, tested people
Fully managed the first time through, then handed to your team to run. No IT integration, no software to install, nothing touching your stack.
OSINT and scenario design
We gather open-source intelligence and build scenarios around your actual attack surface: your executives, your vendors, your workflows. Your security team controls the tailoring and signs off before anything runs.
Orchestrated simulation delivery
A multi-channel OSES™ campaign runs against the agreed population: AI voice, deepfake video inside Teams or Meet, and coordinated follow-up sequenced to build trust before anything is asked for.
Immediate role-specific training
Anyone who engages moves straight into training: an agentic bot conversation, a custom video, or a scenario module aligned to exactly what just happened and why it worked on them.
Reporting and benchmarking
You get susceptibility by function, attack vector breakdown, comparison against our engagement benchmark, and prioritized remediation. Written for your auditors and insurers as well as your team.
Bring it in-house
The end state is your team running deepfake security awareness training on their own schedule with Breacher.ai as the tooling: scheduling simulations, and building modules from your policy or through the AI Concierge without waiting on us. We think that is where security awareness training is heading, and we would rather build the tool than sell you a dependency.
Built for AI-driven threats from the first line of code
We publish what we find
Including the results that undercut our own products. Our data shows platform choice barely correlates with outcomes, and how seriously an organization invests does. We would rather say that than sell against it.
Augment or replace
Run alongside your existing platform and add what it was never built for, or take the whole program. The builder covers your full awareness curriculum, not only synthetic media, so replacing is a real option rather than a partial one. Your call, not a licensing constraint.
One of the first in the category
We were one of two companies working on deepfake social engineering simulation when the category began. That head start is why the engine is built around orchestration rather than bolted onto a phishing tool.
Simulation engine first
Training is generated from real engagement data, not written in advance and filed under a topic. The simulation comes first and the curriculum follows from what actually happened.
Audit and insurance evidence
Independent assessment documentation and attestation you can hand directly to auditors, underwriters, and regulators that require proof of testing.
Discretion by default
We do not name clients, publish logos, or use engagements as marketing. For most of the organizations we work with, that is a reason they engaged in the first place.
From security leaders who've seen it firsthand
Users were surprised with how good the deepfakes were. I'm really impressed. Really crazy talking to a deepfake.
I was expecting a demo, not an episode of Black Mirror. This is really good. I'm surprised at how advanced it's gotten.
The entire company is already talking about voice cloning and the risks. It's been a huge win for us already, without even seeing any of the actual results.
The training was well-structured, clear, and provided valuable insights into the growing threat landscape associated with deepfakes.
Common questions
Do we run this alongside our existing platform, or instead of it?
Either. Plenty of teams keep what they have and use us for what it was never designed to do: live AI voice simulation, deepfake video, multi-channel orchestration, and training generated from what their own people actually did. Others move the whole program across, since the module builder and Concierge cover the general awareness curriculum too. We would rather you pick based on what you need than on what we can support.
What separates this from standard security awareness training?
Standard programs teach the topic and test a single channel. This runs the attack across voice, video, and messaging in sequence, then trains at the moment of engagement. The distinction that matters is contextual: attackers build credibility before they ask for anything, and training that skips that step prepares people for an attack nobody is running anymore.
Which deepfake awareness training platforms should we be comparing?
Compare on whether the platform can actually generate and deliver synthetic voice and video, whether training is tied to real engagement results or pre-written, whether scenarios are tailored by your team or drawn from a library, and what the reporting supports for audit. Those four questions separate the field faster than a feature matrix will. Seat count, SCIM, and compliance library depth matter too, and depending on your situation they may point you somewhere else.
Is this only for deepfakes?
The simulation engine is purpose-built for synthetic media, because that is the threat nobody else can properly reproduce. The training side is not limited that way. The Concierge and policy builder generate modules on any subject in your awareness program, which is what makes it viable as your only platform rather than a specialist add-on. Deepfake is where we are strongest, not where we stop.
Can we use this for compliance and cyber insurance documentation?
Yes. Deepfake simulation training for compliance produces a formal vulnerability report with third-party assessment documentation and attestation, suitable for auditors, underwriters, and frameworks that require evidence of awareness testing.
How fast does training reach someone after a simulation?
Within seconds of the interaction. That timing is most of the value. An agentic bot conversation or scenario module delivered while the call is still fresh does more than the same content delivered a month later.
Will this disrupt operations or need IT involvement?
No. It runs fully managed and external. No integration, no software install, no changes to your security stack. We operate the way an adversary would, from the outside in.
Can we build our own training modules?
Yes, two ways. Upload your policy documents and the builder generates modules that teach your actual rules rather than generic guidance, which matters because most training failures are people following a policy they were never really taught. Or use the AI Concierge: describe the risk in plain language and it produces the scenarios, narrative, and assessment for you. Neither is limited to synthetic media. Build phishing, insider threat, data handling, physical security, or anything else in your program. Either output can be edited by your team and exported to your LMS.
Can our own team run the program instead of you?
That is where we think this is heading, and it is what we build for. Most organizations start with a managed engagement, then take it in-house and use the platform as tooling. Your security team controls scenario tailoring either way.
How often should we run simulations?
Quarterly is a reasonable default. Scenarios change each cycle so people build genuine recognition instead of learning to spot our particular tells, which is a real failure mode in programs that reuse templates.
Do you score individual employees on risk?
No, and we think per-user risk scoring is the wrong frame for this threat. We report at the organizational level: the likelihood of a given action occurring across a population, and where process broke down. Secure behavior spans people, process, and technology, and naming individuals rarely improves any of the three.
See what your people are up against
Book a live demo and sit through an OSES™ simulation yourself. Twenty minutes, no pitch deck.
support@breacher.ai
