Deepfake Red Team Engagement
Nothing here is a package. The scenario is built for your threat model.
We start from the adversary your organization would actually face, design the scenario against the processes you are accountable for, build the synthetic identities from scratch, and run every channel ourselves. A fake candidate in the hiring pipeline, a cloned executive in a meeting, an AI voice on the help desk line, or all three inside one chain.
Designed per engagement, run end to end by us, fully external. Nothing is installed and nothing touches your security stack.
The capabilities we compose into your scenario
These are not three products to choose between. They are the ways a synthetic identity gets inside an organization, and your engagement uses whichever ones your threat model calls for. Most use more than one, because a real adversary moves between them.
Fake Candidate
A synthetic applicant built against a role you are genuinely hiring for, with a history that survives a reference check, a live face on the interview, and a voice that holds a conversation. Constructed for your pipeline, not a generic persona.
- Resume, references, and footprint built for your open role
- Live avatar on the video interview
- Right-to-work and ID checks put under real pressure
- Reported as how far the candidate got, and who stopped them
Deepfake Impersonation
A named executive from your organization, cloned in face and voice, joining a call on the platform your teams already use. The test is not whether anyone notices. It is whether your specific approval procedure holds when the request comes from someone with authority to make it.
- Live video avatar inside your own collaboration tools
- Cloned voice built from public executive audio
- Aimed at your approval chain, mapped in scoping
- Reported as process hold rate, not click rate
AI Vishing
An AI voice agent scripted against your actual verification procedure, placing the call, holding a live conversation if answered, leaving a callback voicemail if not, and handling the inbound callback itself. This is where most orchestrated intrusions begin.
- IT support and help desk impersonation
- Your credential reset and MFA re-enrolment steps, as written
- Wire threshold and callback verification in finance
- Scales to concurrent sessions without an operator per call
A scenario nobody else has ever been sent
A templated simulation tells you how your organization performs against a template. That is not the same as knowing whether the process an adversary would target actually holds. Every engagement here is designed from your threat model, and we do the building and the running.
From your threat model to a signed finding
The bespoke variant of OSES™, our orchestrated simulation framework. The first two stages are the part that makes no two engagements match. Everything is authorized in writing before it runs, and every impersonated identity is agreed with you in advance.
Threat model intake
What are you actually worried about, which process would hurt most if it failed, who has authority over it, and what would leadership need to see. That conversation sets the objective, not a menu.
Build the scenario
Open-source intelligence establishes who an adversary would impersonate and how they would reach your people. The pretext, the sequence, and the synthetic voice, video, and identity assets are then built for that one scenario.
Execute across channels
We run it across whichever channels the scenario calls for: the interview, the meeting, the phone line, the follow-up message. Coordinated under one objective, not sent one at a time.
Follow it past the click
The engagement continues into the help desk approval, the callback procedure, the hiring decision, or the payment authorization. That is where the loss would actually occur.
Report and benchmark
Findings at the organization level, written for a board and an auditor, with your position against your own vertical rather than a generic population.
Re-test
The same paths run again after remediation, so the improvement is a measured delta rather than a completion rate. A course completion is not a control.
Every engagement runs under signed authorization, with named approvers, agreed impersonated identities, and documented abort conditions. Findings are reported at the organization level with no named individuals. For teams who want to run and re-run simulations themselves on an ongoing basis, see the OSES™ platform.
Evidence, not a slide with a click rate on it
Organization-level findings
Which procedures held, which were bypassed, and at what point in the chain. Written to be handed to a board without translation.
Third-party attestation
Independent assessment documentation suitable for auditors, cyber insurance underwriters, and frameworks that require evidence of control testing.
Peer benchmark
Your measured exposure reported next to the position of your own sector, so the number arrives with the context that makes it actionable.
Regulated environments, where the process is the control
Organizations where a bypassed verification procedure is a loss event and a regulatory one, and where change control usually blocks testing.
Practitioners first, vendors second
Bespoke only means something if the people designing it have run the real thing.
Built by operators
Designed by practitioners who spent their careers in security operations and red teaming before the platform underneath it existed. The scenarios come from what is being used against organizations right now, not from a library written last year.
Detection is not a control
Training people to spot a fake fails as generation quality improves, because the artifacts they were taught to look for keep disappearing. Testing the verification procedure does not degrade the same way.
Orchestrated, not single-channel
A real intrusion moves between a voicemail, a callback, a meeting, and a message. Testing one of those in isolation measures the wrong thing. Your engagement coordinates whichever of them the scenario needs, under one objective.
Real scenarios, real findings
A credential reset request placed against a written verification procedure, and what happened at the step where the procedure asked for something the caller could not have.
Read the engagement Agentic AIAutonomous agents driving synthetic media generation and delivery end to end, with no human operator in the loop.
Read the case studyWhat CISOs ask before the first engagement
What is a deepfake red team engagement?
An authorized security assessment in which AI-generated voice, video, and identity are used to impersonate trusted people, in order to test whether your people and processes can be manipulated into the wrong action. Unlike a phishing simulation, which ends at the click, the engagement continues into the callback, the help desk approval, the hiring decision, or the payment authorization.
Is this a fixed package?
No. There is no scenario library and no tier to pick from. The engagement is designed from your threat model, which means the adversary, the pretext, the channels, the identities impersonated, and the objective are all decided for your organization specifically. Two clients in the same sector will get materially different engagements. We then do the research, the media generation, the execution, and the reporting, so your team's involvement is a scoping call, a signed authorization, and the readout.
How do you test for fake candidates?
A synthetic applicant is built against a role you are genuinely hiring for and submitted through your real process, with a constructed history and online footprint, then appears on the video interview as a live avatar with a conversational voice. The finding is how far the candidate progressed and which control stopped them, whether that was a recruiter, an interviewer, or an identity verification step. If nothing stopped them, that is the finding.
Is this safe to run against real employees?
Yes, and it is the standard way we work. Every engagement is authorized in writing, every impersonated identity is agreed with you in advance, and findings are reported at the organization level rather than naming individuals. The objective is to test the procedure, not to catch a person.
Can this run in a regulated environment?
It is a large share of the work. Because engagements run fully external with no software installed and no changes to your stack, most of the change-control burden that blocks testing in regulated environments does not apply. Deliverables include third-party assessment documentation and attestation for auditors and underwriters. Clients include financial services, banking, global law, energy, and public sector organizations.
How is this different from the OSES™ platform?
Same engine, different delivery. The platform is for teams who want to run and re-run simulations themselves on an ongoing basis, at scale. The red team engagement is bespoke and run for you, typically to establish a baseline, satisfy an audit requirement, or answer one specific question leadership is already asking. Many programs start with an engagement and move onto the platform once they know what to measure.
Find out how far a synthetic identity gets
Thirty minutes on your threat model: which process would hurt most if it failed, who has authority over it, and what the report needs to prove. The scenario gets designed from that conversation.
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