Video analysis (multi-pass) + private methods
Multiple liveness and artifact checks build resilience to “quick” deepfakes and replays.
document fraud protection
Deepfakes and forged documents are a horror show for KYC teams.
Stop the horror and turn onboarding into a secure story. Scroll to see how forged documents and deepfakes hit verification workflows—and how DocGuard blocks them.
Are you sure this video isn’t about your business?
One hour of "work" for a fraudster means days of disputes and chargebacks.
DocGuard returns a verdict in milliseconds with zero disk footprint.
The problem: forged documents and deepfakes are cheap and fast
A forged document is minutes of work, a deepfake video takes hours. Those minutes can cost the business tens, hundreds, or thousands of dollars in losses, chargebacks, investigations, and reputation damage.
This video demonstrates how threat actors bypass KYC; it is not a real attack.
Forger: a fraudster manipulating images, video, or audio.
Forger’s client: the customer who buys these services to commit fraud.
A hidden risk for businesses that process user-uploaded documents is manual document verification:
- human reviewers can overlook forged or altered documents
- heavy workloads increase error rates
- manual review slows processing during peak demand
- verification capacity is limited by working hours and staff availability
- employees see sensitive documents, increasing the risk of internal data theft
Direct consequences for the business:
- financial losses from fraud or unauthorized access
- compromised user accounts and sensitive data
- regulatory and legal exposure due to improper document handling
- reputational damage after security incidents
| .PSD Template | Deepfake | Printed Document | |
|---|---|---|---|
| Timeframe for forger | 30s–10m | 6m–30m | 7m–22m |
| Forger needs | An original document or a template to edit | High-quality photo (social), 5–30s of voice | Printed template and lamination |
| Dark-market price | $4-20 | $40+ | $10-18 |
| Attacker difficulty | Low: off-the-shelf tools + templates. | Medium: data collection + generation. | Higher: printing, materials, staging. |
| Defense difficulty | Medium without multi-step verification. | High without deepfake detection. | High without physical/noise checks. |
| Detection latency (¹ others) | ~7.2s | ~25s | No protection |
| Detection latency (DocGuard) | ~4s | ~12s | ~36s |
| Protection (¹ others) | Partial; catch obvious artifacts. | Weak; miss chained attacks. | Weak or missed; weak protection. |
| Protection (DocGuard) | Yes | Yes | Yes, with configuration |
¹ Timing based on products clients used before switching to DocGuard.
How we counter the threat
We don’t publish detection tactics because even tiny hints become bypass tools. We show outcomes: risk score, reasons, and recommended action.
Documents: similar ideas, different tactics
Some principles overlap, but key document methods differ. Sharing details would be handing keys to attackers.
Privacy first: RAM-only analysis
Customer documents are never used for training and never written to disk. RAM-only processing reduces leak risk during manual reviews.
Time to stop the horror
Tell us about your KYC, onboarding, payouts, or marketplace flow — we’ll show where protection has the biggest impact.
Before vs after reliable protection
Old solution
Costs
-$320k/yr
Staff + training $140k, disputes/legal $110k, churn impact $70k.
After DocGuard
Savings
$260k+/yr
Automation frees staff time, fewer disputes, better retention offsets churn.
Avg decision time per submission
-97% vs manual
11s
Manual review: 8–40 minutes • DocGuard: 7–13 seconds
Fraud exposure avoided (monthly)
-$1.2M projected
$1.2M
Projected annual savings for 1% attack rate @ 300–400/day, $1k–$4k per fake.
Fraud scales fast. Your verification should too.
Protect now.