Security Awareness Training That Matches Modern Threats
No canned content. No generic modules. No calendar assignments.
Training generated by the OSES™ simulation engine and run by your own team. An orchestrated sequence goes against your real process first, using deepfake voice and video the way an attacker would. What it finds becomes the curriculum, written for your organization and released where the gap actually is. Then the same sequence runs again, so the change is measured rather than asserted.
Layers onto the awareness platform you already run. Nothing to rip out, nothing to install.
Three failure modes of the annual module
Generic awareness training creates the appearance of preparedness without reducing much real risk. The reasons are structural, not a matter of picking a better vendor library.
The content predates the attack
Library modules were written against a threat model where synthetic media was expensive and obvious. Your people are being asked to recognize an attack that no longer looks anything like the one they were shown.
Assignment runs on a calendar
A module delivered in the compliance window lands nowhere near a moment of failure. Retention is highest immediately after someone gets caught, and a calendar cannot know when that happened.
The metric measures the wrong thing
Completion rates and click rates say a person touched something. They say nothing about whether the wire went out, the credential was reset, or anyone escalated. The number falls without the organization getting safer.
Simulation first, then the curriculum
The order is the whole argument. Everything downstream is built from evidence rather than assumption.
Every module traces back to active threat intelligence and to what the simulation found in your environment. Your people learn the tactics being used against organizations like yours, not a composite scenario written years ago.
The OSES™ engine runs an orchestrated multi-stage sequence first. Training is then triggered by what happened during it and lands in the moment of failure, which is the only moment where retention is reliably high.
The heavy lift in an awareness program is producing content nobody has seen and proving it worked. The engine does both from your engagement data. Your team keeps ownership of the program and stops spending the quarter authoring modules.
Written for you, not licensed to you
We do not hand over a login to a content library. Every module is produced for your organization, scoped to one objective, and retired when it stops being the thing that broke.
Three ways into a module: generate it from a policy document, generate it from what the simulation found, or start from scratch.
How the cycle runs
OSES™ is Orchestrated Social Engineering Simulation. One cycle from threat mapping through to attestation, running on a single dataset so the last stage can prove something rather than restate the first.
Reporting is organizational. No named individuals, no department leaderboards, because the failures worth fixing are procedural and naming people turns a process finding into a personnel one. This is the shape Gartner now calls Secure Behavior Management, the named successor to Human Risk Management. See the OSES Risk Index or how the assessment is scored.
The full program
A library and a dashboard, or a program
Traditional awareness platforms give you content and reporting and leave the work to you. This is the other shape.
Organizations that cannot afford canned
If your executives are worth impersonating and your finance team can move money on a phone call, generic content is leaving the expensive part of the org untested.
What leaders say after a cycle
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
What is OSES and how does it drive the training?
OSES is Orchestrated Social Engineering Simulation, our simulation methodology. Instead of assigning modules and hoping something sticks, a coordinated multi-channel sequence runs first. Training is then built and delivered against what that sequence actually found, so the content lands against a real failure rather than a hypothetical one.
What does custom-built content actually mean?
Every module is written for your organization rather than pulled from a library or white-labeled from another vendor. Content uses your terminology and branding and is scoped to one objective. If finance needs to recognize a cloned voice on a transfer request, we build the module that teaches that and nothing else.
Does training actually reduce risk?
Partly, and we would rather say so plainly. Measured against untrained baselines, training reduces the action rate by roughly a third and then plateaus. The rest is a process gap, which is why the program also tests the procedures around wire transfers, credential resets, and vendor verification instead of stopping at the person.
Do you report on individual employees?
No. Reporting is organizational, with no named individuals and no department leaderboards. Training is targeted where the simulation found a gap, but the findings a leader sees describe the organization and the process, not a list of people who failed.
Who runs the program day to day?
You do. Your awareness team runs the cycle from the platform: launching the sequence, reviewing findings, and releasing the modules the engine generates. What the platform removes is the authoring work, not the ownership. If you would rather hand delivery over entirely, that is our Managed delivery mode and it is priced separately.
Do we have to replace our current awareness platform?
No. This layers on top of whatever you already run and covers what those platforms do not: live deepfake voice and video, multi-channel sequences, and process testing. Organizations that eventually consolidate usually do it after the first re-test, not before.
Is there anything to install?
No. Everything runs externally with no agent, no software, and no integration into your stack. That is deliberate, because it is the same position a real attacker starts from and it means the program does not wait on an internal deployment.
Will this satisfy our auditors and insurers?
The program produces third-party evidence of what was tested, what failed, what training was delivered, and what changed on re-test, in a format written for auditors and insurers rather than reformatted afterwards. It supports frameworks including NIS2, DORA, and SOC 2.
Training built for your threats, not a catalogue
Thirty minutes. We walk a full cycle end to end, scenario design through to the re-test delta, and you decide whether your current program would have caught any of it.
Want us to run it instead? That is Managed delivery. Or see the micro module format.
support@breacher.ai
