Industries
Deepfake detection for the public sector
Protect officials and citizens from impersonation campaigns.
$2.9B
lost to impersonation scams — including fake government agencies — in 2024Source: FTC
- Media verification for comms teams
- Document forensics for benefits processing
- On-device meeting protection with Halo
Where government gets hit
Deepfaked officials spreading disinformation, forged documents in benefits claims, and synthetic identities defrauding public programs at scale.
How ScamAI helps
Eva V1.6 scores documents at benefits intake and verifies media for press teams; Halo protects staff meetings on-device. Every result ships with the evidence behind it.
Trust in public communication
When an official's likeness can be faked in minutes, verified media keeps citizens able to trust what their government actually said — and to spot what it didn't.
Impersonation now has its own rulebook
Impersonating a government official has always been a federal crime; generative AI made it scalable, and in 2024 the FTC's Government and Business Impersonation Rule took effect to match. NIST's digital identity guidelines (SP 800-63) contemplate exactly the presentation and injection attacks that deepfake selfies and forged documents represent. ScamAI covers both directions — media verification to protect citizens from fake versions of you, deepfake and document forensics at intake to protect programs — each producing evidence an oversight body can review.
From benefits intake to the press office
At benefits intake, Eva V1.6 runs document forensics on identity documents and income statements before eligibility decisions are made — the same checkpoint where synthetic identities drained pandemic-era programs. In the press office, media verification gives comms teams a defensible answer when a video of an official surfaces, before the clip finishes its first news cycle. For sensitive coordination, Halo runs on staff machines during video meetings without sending meeting content anywhere.
/ROI
What this is worth
- Loss avoidance: as an illustration, at 50,000 checks a month, catching just 0.2% more synthetic media is ~100 frauds stopped — at a $10k average loss, that's ~$1M a month that never walks out the door.
- Review time: evidence-backed results cut manual review from minutes to seconds, so analysts handle the small flagged fraction instead of screening everything.
- Compliance posture: explainable, auditable results give regulators and auditors evidence, not a black-box score.
Common questions
How can a government agency verify whether a video of an official is real?
Run the clip through a detection model built for synthetic media. ScamAI's Eva V1.6 analyzes the video frame by frame for face swapping, AI generation, and manipulation, and returns a result with the signals that drove it. That gives a communications team something a press statement can stand on: not just "we believe this is fake," but documented detection evidence, available in minutes.
How does deepfake detection reduce benefits and public-program fraud?
Most program fraud enters through intake: forged identity documents, AI-generated pay stubs and statements, and synthetic identities assembled to pass remote verification. Detection at intake scores every document and selfie for generation and tampering before an eligibility decision is made, routing suspicious cases to investigators with evidence attached. That shifts fraud control from pay-and-chase to prevention at the front door, and aligns with the identity-assurance expectations in NIST's digital identity guidelines that most U.S. agencies build their remote proofing around.
Can public-sector deployments keep media on their own infrastructure?
Yes. For meeting protection, Halo runs entirely on the endpoint: detection happens on the staff member's machine and meeting content never leaves it. For intake and verification pipelines, the on-device agent brings the same Eva V1.6 model inside your boundary, so document and face analysis runs locally where policy prohibits external services. Where the REST API is used, media is analyzed, scored, and discarded (ScamAI retains results, not content), and the company is SOC 2 Type II and GDPR compliant.
See ScamAI on your agency's media
15 minutes, on your own media. Pick a slot and leave with a result.