Protect
The scam epidemic is growing. So is what we can save.
How Armoreal helps turn fraud losses into prevented harm.
Every year, millions of people lose money to scams built on fake, stolen, or impersonated identities — and the numbers keep climbing.
Armoreal attacks the root cause: it verifies the real human behind an interaction, so impersonation, deepfakes, and account takeover become far harder to weaponize.
The problem, in 2024
How much scams cost people in 2024.
What those numbers actually mean.
A new fraud report is filed roughly every 12 seconds.
Lost to scams every second, day and night.
Lost for every adult in the United States.
Rise in reported losses since 2019.
The trend
This isn't a spike. It's a trajectory.
Reported U.S. fraud losses, year by year. The line only bends one way.
Reported U.S. consumer fraud losses have grown nearly 7× in five years. Hover any point for the year-over-year change.1
How we help stop it
Where Armoreal breaks the scam.
Imposter & impersonation scams
The scam: Fraudsters pose as a trusted person, brand, or official to trick victims into paying.
Our defense: Verified human identity makes impersonation far harder to pull off and easy to flag.
Deepfakes & synthetic media
The scam: AI-generated faces and voices are used to fake approval, presence, or consent.
Our defense: Real-person verification separates the authentic human from a generated likeness.
Account takeover
The scam: Stolen credentials let attackers hijack accounts and drain funds or trust.
Our defense: Identity-bound checks stop a password alone from being enough to impersonate someone.
Romance & investment fraud
The scam: Long-cons rely on fake identities that never have to prove they are real.
Our defense: Requiring genuine identity signals removes the anonymity these scams depend on.
Verify the real person
Confirm a genuine human is behind an account, message, or transaction — not a bot, stolen identity, or deepfake.
Detect the mismatch early
Surface impersonation and synthetic-identity signals before money or trust changes hands.
Stop the loss before it happens
Shift from cleaning up after fraud to preventing it — the point where the savings are largest.
The AI shift
Why identity is the new front line.
Generative AI makes a convincing fake face, voice, or persona nearly free. The only durable defense is proving the real human.
Projected U.S. GenAI-enabled fraud losses by 2027, up from $12.3B in 2023.3
Rise in detected deepfake fraud attempts as generative tools went mainstream.4
Stolen in a single deepfake video-call scam impersonating a company's CFO.4
What year 2024 could have looked like
Explore the Potential Impact of Stronger Identity Protection in 2024.
Explore where the money went — by category, payment rail, and age. A large share runs on identities that never had to prove they were real.
Could have stayed with people in 2024
Of the $12.5B lost to fraud in 2024, an estimated $7.8B was driven by fake, stolen, or impersonated identities. At a 70% prevention rate, Armoreal could have kept the majority of it with the people who lost it.
Most losses sit in categories where a fake or impersonated identity is the enabler.1
How much we could save
Estimate the savings for your community.
Model how many people you protect and how much prevention is worth. Even a modest prevention rate turns into large amounts kept in people's pockets.
Assumes ~3.8% of a protected population is targeted with a financial loss in a given year, based on public reporting. Adjust the sliders to model your own community.
Estimated annual savings
Out of $1.6M in projected losses across 1,900 likely victims, Armoreal could help prevent the majority before money ever leaves.
Move from cleanup to prevention.
If you protect a community, platform, or customer base, Armoreal can help you stop scams before the money is gone.
Sources & notes
- 1.Federal Trade Commission — Consumer Sentinel Network Data Book 2024
- 2.FBI Internet Crime Complaint Center (IC3) — Annual Reports
- 3.Deloitte Center for Financial Services — Generative AI and fraud
- 4.Industry reporting on deepfake / synthetic-identity fraud (2023–2024)
Totals and the category, payment, age, and loss-rate figures are from the FTC Consumer Sentinel Network Data Book 2024. The “identity-enabled” share of each category, the 70% prevention rate, and the savings calculator are directional estimates for illustration — not guarantees of outcomes. AI-fraud figures are third-party projections.