Private Equity Phishing Simulation: How Breacher.ai Helps
How We Help Private Equity Firms, One Phishing Simulation Program Across Every Portfolio Company
Breacher.ai gives private equity firms one phishing simulation program for the whole portfolio. Every portfolio company runs in its own private tenant, and the fund gets one rollup showing which companies would stop a fraudulent payment, which would not, and which are getting better.
A fund does not have one social engineering exposure. It has one per portfolio company, and the weakest one is the one that gets the call.
What is a private equity phishing simulation program?
A private equity phishing simulation program runs one set of authorized social engineering simulations across every portfolio company from a central hub. Each company gets its own private tenant and results. The fund sees a rollup that benchmarks every company on the same procedures, so operating partners know which portfolio companies would stop a fraudulent payment and which would not.
of 325 private equity portfolio leaders surveyed by Kroll reported cyber-related disruption during the hold period in the past year
of the 300+ portfolio companies assessed by ACA Group in 2026 carried elevated or high cyber risk
of 300 private equity firms surveyed by QBE provide security awareness training to their portfolio companies
Private equity has always run on one idea: build a playbook once, then apply it across the portfolio. Finance, procurement, pricing, talent. Cybersecurity is joining that list fast. A Kroll survey reported by Help Net Security found cyber risk now shows up in valuations, exits and deal execution, not only in the IT budget.
Social engineering is where that risk turns into money. It is the shortest path from a phone call to a wire transfer, and portfolio companies sit right on that path. The hub and spoke model brings the portfolio playbook to the human layer: one program, run the same way in every company, measured on one scale.
Why portfolio companies are where social engineering lands
Threat actors go where the money moves and the controls are uneven. A private equity portfolio offers both. Large sums move on deal timelines, finance teams are lean, and every company built its own verification habits before the fund arrived.
In August 2026, Proof documented a voice phishing campaign that called employees at six of the largest private equity firms in the world and collected MFA codes through 72 spoofed sites. Proof notes those firms already had security teams, written wire verification policies and MFA. The policy existed. The question nobody had answered was whether it would hold on a live call.
RSM makes the same point about business email compromise inside PE-backed companies: policies alone do not stop it, tested controls do, especially around bank detail changes and payment workflows. That is the gap a portfolio simulation program closes.
A written wire policy in twenty companies is one claim. A tested wire policy in twenty companies is twenty answers.
How hub and spoke phishing simulation works
The fund is the hub. Each portfolio company is a spoke. Breacher.ai is the engine that runs the simulations and scores the results the same way everywhere. The access model is built into the Breacher.ai multi-tenant platform today.
| Layer | Who | What they see and control |
|---|---|---|
| Hub | The fund, operating partners, the portfolio CISO | The OSES™ score for every portfolio company side by side, the shared scenario library, and the access policy. Only the hub can restrict hub visibility into a spoke. |
| Spoke | Each portfolio company | Its own private tenant. It authorizes its own simulations and sees its own findings and score. It never sees the fund's data or a sibling company's results. |
| Engine | Breacher.ai | Runs orchestrated simulations across email, voice, SMS, collaboration platforms and deepfake video, scores every spoke on the same model, and generates training from what each company's results show. |
Access model as built in the Breacher.ai multi-tenant platform.
The design solves two problems at once. Portfolio companies keep autonomy and confidentiality, which matters to management teams who do not want their results passed around the portfolio. The fund gets the one thing it cannot get from a questionnaire: evidence of what happened when a realistic request arrived.
Benchmark the procedure, not the click
The fastest way to ruin a portfolio benchmark is to rank companies on click rate. In the Breacher.ai Deepfake Benchmark 2026, across 16 authorized engagements and 1,407 targets, 7.6% of targets clicked but 12.0% took the risky action, and 5 of 16 engagements had no measurable click at all. Voice and video simulations often have nothing to click. A finance employee who approves a wire after a call from the "CFO" never touched a link.
Questionnaire answers and email click rates. They confirm a control exists on paper and measure curiosity, not whether a payment would have left the building.
Whether verification held on consequential actions: payments, vendor bank detail changes, credential resets and access grants. Same scenarios, same actions, same scoring in every company.
Every portfolio company is scored with the OSES™ Risk Index. Depth records how far the furthest simulation progressed toward a consequential action. Spread records how much of the workforce went along with it. One wire approved is enough to set a company's depth, because one wire is enough to lose the money.
OSES™ score = Depth + Spread
Like-for-like is what makes the comparison fair. Every spoke runs the same scenario set against the same consequential actions, rates are reported only where a company has enough targets to support one, and smaller companies are reported by event instead. Our broader thinking on benchmarking AI social engineering resilience goes deeper on the method.
How to roll it out across a portfolio
Baseline every spoke
Run the same scenario set in every portfolio company. Executive impersonation on voice, a vendor bank detail change by email, and a help desk credential reset. Each company authorizes its own run inside its own tenant, so management stays in control of timing and scope.
Benchmark at the hub
Compare companies on the procedures that protect value. The fund sees every company's score next to its peers, broken down by consequential action, so the operating partner knows exactly which finance team needs a callback rule and which already holds the line.
Train for what you find, then retest
Close the specific gap, then prove it closed. OSES™ Behave generates awareness training built from each company's own findings and its own policies. The retest produces new counts, and the improvement shows up in the rollup next to the baseline.
What the fund gets out of it comes down to three things.
- One view of portfolio exposure. Every company on one scale, so cyber risk sits in the same portfolio review as every other operating metric.
- A playbook that travels. When one company's finance team builds a callback rule that holds, the same rule and the same training roll to the next company, and the next.
- Evidence for the exit. Buyers ask how a business handles fraud and social engineering. A tested record of verification holding, with retest results, is a stronger answer than a policy document.
How we help private equity firms
Breacher.ai runs orchestrated social engineering simulations, OSES™, that go well beyond a single phishing email. A simulation can open with an email, follow with an AI voice call from a familiar executive, and close on a live deepfake video meeting, with each stage adapting to what the target did at the last one. That is what modern fraud against a portfolio company looks like, and it is what the procedures need to survive.
For a fund, it comes as a managed program with a self-managed option. Breacher.ai practitioners run the engagements and the fund gets the rollup, or portfolio companies run their own simulations from the simulation platform inside their own tenant while the hub keeps the portfolio view. Either way, findings are named against procedures, never against people, which keeps management teams engaged instead of defensive.
We built the same multi-tenant foundation for the channel, which is why it is already proven for managed service providers running many clients. Private equity is the natural next step: one owner, many companies, one standard to hold them to.
Measure your risk.
Train for what you find.
Prove it changed.
See how a portfolio of companies looks on one OSES™ rollup.
Book Your DemoFrequently asked questions
A private equity phishing simulation program runs one set of authorized social engineering simulations across every portfolio company from a central hub. Each company gets its own private tenant and results. The fund sees a rollup that benchmarks every company on the same procedures, so operating partners know which portfolio companies would stop a fraudulent payment and which would not.
The fund is the hub and each portfolio company is a spoke with its own private tenant. Each company authorizes its own simulations and sees its own findings and score. The hub sees every company's score side by side, and only the hub can restrict its own visibility into a spoke.
No. A portfolio company sees its own data and score and never sees the fund's data or a sibling company's results. The fund sees the rollup across the portfolio, which keeps results confidential to each management team while giving the fund one view of exposure.
Click rate measures the wrong event. Across 16 authorized engagements and 1,407 targets in the Breacher.ai Deepfake Benchmark 2026, 7.6% of targets clicked but 12.0% took the risky action, and 5 of 16 engagements had no measurable click at all. Voice and video simulations often have nothing to click.
Run the same scenario set against the same consequential actions in every company and score them on the same model. Report rates only where a company has enough targets to support one, and report smaller companies by event. Companies measured on different scenarios are never ranked against each other.
Yes. Buyers ask how a business handles fraud and social engineering, and cyber risk now affects valuations and deal terms. A tested record of verification procedures holding, with retest results showing improvement, is evidence a seller can put in front of diligence instead of a policy document alone.
Hold every portfolio company to one standard
One program across the portfolio. Private results for every company. One rollup that shows the fund where verification holds and where it needs work.
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About the Author: Jason Thatcher
support@breacher.ai
