DRIVON
A Vallon Studios Company
Investigation and evidence for women in public life

Find out where your likeness is being used — and get the evidence to act.

Your photos — a professional headshot, your LinkedIn picture, an Instagram post from a friend’s wedding — can become source material for AI-generated content you have never seen. Drivon Protection investigates where it’s happening, documents each finding with sourced, timestamped evidence, and delivers it to you as a report you can act on.

The source photos in documented cases came from places professional women treat as ordinary: LinkedIn portraits, conference photos, public Instagram accounts, and company “Meet the Team” pages. The AI tools that turn those photos into something else are publicly available, cheaply priced, and indexed by search engines. People are making money from the result. Most victims do not find out until someone they know shows them.

Drivon OS, built by a former private investigator, finds the source websites — the AI image platforms, the paid subscription accounts using your photos, the chatbots trained to impersonate you — in real time once you say go, and while there is still time for you to act on taking them down.

Other services find finished deepfakes after they’ve been shared. Drivon OS does this, but much more. It finds where your likeness is being used at the source — before the people who matter to you see it.
Start your investigation →
02 — The state of the threat

What’s happening, right now

May 19, 2026
The TAKE IT DOWN Act is now law.Signed in May 2025, with full platform enforcement beginning May 19, 2026.2 Platforms have 48 hours to remove non-consensual intimate imagery — including AI-generated — after receiving notice from the depicted person. The FTC enforces, with civil penalties of up to $53,088 per violation.3
January 2026
Source photos come from ordinary places.In documented cases brought against Grok and the apps built on it, the source images for explicit deepfakes came from school yearbooks, publicly accessible social media accounts, conference photos, and company websites. One Tennessee victim learned that sexually explicit deepfakes had been created from her homecoming photo and her yearbook portrait, then distributed to a private Discord server without her knowledge.5 The pattern is consistent: ordinary photos, publicly visible, weaponized.
January–March 2026
Companies are charging subscribers to make AI deepfakes of real women.Women in Arizona sued multiple men and three companies in state court, alleging the defendants operated a business that helped subscribers create AI pornography from real women’s photos, profit from it, and avoid legal repercussions.13 Their attorney told Axios: “Most women, including the plaintiffs in the Arizona case, are completely unaware they’ve been targeted until it’s way too damn late.”
Dec 2025–Jan 2026
The scale is industrial.The Center for Countering Digital Hate documented that Grok produced approximately 3 million sexualized images in an 11-day window between December 29, 2025 and January 8, 2026, including around 23,000 images of children.14 A Jane Doe class action representing a nationwide class of women whose photos were transformed into explicit images was filed in California federal court in early 2026; at least 35 state attorneys general have publicly objected to the practices documented in the cases.15
$150,000+
Civil damages have a federal floor.The DEFIANCE Act, which passed the U.S. Senate in early 2026, provides liquidated damages of $150,000 per victim — or $250,000 where stalking, sexual assault, or harassment is involved — plus attorney fees, for non-consensual intimate deepfakes.16 Multiple existing state statutes already reach the same range. Civil liability is real, but only for the victims who know it’s happening.
$10 million
A real perpetrator has been named.In January 2026, the Buzbee Law Firm filed a $10 million lawsuit against a Houston business owner who allegedly impersonated a Houston internet influencer and created fake nude images of her. The lawsuit seeks more than $1 million in compensatory damages and total punitive damages exceeding $10 million.17 The case demonstrates that named perpetrators face real civil liability — once a victim has documented evidence of what is happening to her.
03 — Where this comes from

The labs aren’t building this. Other companies are.

The first question clients ask is how this is possible. Aren’t AI companies supposed to refuse?

The major labs do refuse. Anthropic, OpenAI, and Google train their models to decline likeness generation and catch most attempts to work around it. None of the material Drivon Protection finds is produced by Claude, GPT, or Gemini.

The harm comes from a smaller group of companies that made different choices.

01 — Open distribution

Companies that released their models with no restrictions on downstream use

Once a model is freely distributed, no enforcement is possible — there is no API to call, no policy to enforce, no company to notify. The major labs kept their models closed for this reason. Others did not.

02 — Permissive platforms

Platforms built specifically to host what the labs declined to serve

These platforms operate openly, monetize through tipping and subscriptions, and rely on the gap between what is technically legal to host and what is enforceable in practice.

03 — Under-moderated chat

Consumer chatbot platforms that allow user-created impersonating characters faster than they can be removed

A 2025 report from ParentsTogether and the Heat Initiative documented impersonating chatbots of named celebrities with hundreds of thousands of user interactions before any moderation action was taken.12

04 — Deepfake services

Subscription deepfake services operating from weak-enforcement jurisdictions

These are businesses with payment processors and marketing budgets, built specifically for non-consensual likeness work.

Drivon Protection is downstream of all four. We find what they’ve done, document the monetization, and assemble the evidence needed to act on it.

04 — How it works

What Drivon OS does

All three layers run on Drivon’s investigation engine, which orchestrates detection, documentation, and monitoring for each client — scoped to their own verified identity, and to no one else. Once verified, you run your own private Drivon OS scan in your portal, and download your report. No one knows you use our services, but you.

01 — Detection

Detection at the source

Drivon OS scans the platforms where synthetic content is built, hosted, monetized, and shared — AI image generation services that allow user-uploaded source photos, paid subscription accounts on Fanvue / Patreon / Passes / Fansly using your likeness, chatbot directories indexing characters configured with your name, voice clone libraries, Telegram channels selling subscriptions to galleries built around your photos, and search-indexed deepfake services where your face may have been attached to paid impersonation accounts. We find the artifacts and the revenue streams while there is still time to act.

02 — Documentation

Revenue and operator documentation

Every finding is documented with archived URLs, screenshots, and timestamps. Where your likeness is being monetized through public-tier subscription platforms — Fanvue, Patreon, Passes, Fansly, Ko-fi — we calculate a defensible monthly revenue estimate from publicly visible subscriber counts and tier prices. For platform-internal monetization — Civitai tips, Character.AI interactions, Discord activity — we document the engagement signals without making revenue claims we can’t substantiate. The output is a monthly intelligence report showing where your likeness is being used, by whom, and what it’s earning. You decide what to do with it.

03 — Monitoring

Continuous monitoring after identity verification

Every Drivon Protection client is identity-verified at engagement through Holanox — Vallon Studios’ identification software — so a case file can only be opened by the person whose likeness is being monitored, not by someone else acting in their name. Once verified, monitoring runs on schedule, alerts on new findings, and reports monthly. The work doesn’t stop when a finding is resolved. The same uploader returns with a new account; the same chatbot gets recreated under a slightly different name. We monitor for that pattern and document it as it happens.

05 — Face-confirmed detection

How we confirm it’s actually you

A name is not proof. Plenty of people share a name, and a name appearing next to harmful content doesn’t mean the content depicts you. That distinction is the difference between a real finding and a false accusation — so every finding on a harm venue is confirmed by face, not by name alone.

01 — Search where harm lives

The venues, not the open web

Drivon OS searches the specific platforms where synthetic and non-consensual content is built and sold — AI image-generation catalogs, nudify and face-swap services, deepfake aggregators, and the paid galleries that host them. We don’t report that your name appears somewhere on the internet. We look at the places where the harm actually happens.

02 — Confirm by face

Your face is the arbiter

For each candidate we find, Drivon OS compares the image against your verified reference face. A finding only surfaces when your face is confirmed present. A name coincidence on a harmful site — someone else who happens to share your name — is checked and dropped, because it isn’t you. This is what keeps a Drivon Protection report free of the false positives that make other monitoring tools untrustworthy.

03 — You see the evidence

Confirmed findings, documented

What reaches your report is the set of findings where your face was confirmed on a venue that hosts harm — each with the source, a confidence measure, and a timestamp. Nothing is asserted that the face-match didn’t confirm. You get an accurate picture of where your likeness is genuinely being used against you, and the documented evidence to act on it.

06 — Live operations

What Drivon OS is finding

Drivon Protection publishes anonymized summaries of what Drivon Os is catching in active operations. The format is intentionally narrative: enough specificity to convey what kind of activity Drivon OS is detecting and resolving, with identifying details removed to protect the people involved.

This week

Drivon OS enters production reporting in Q4 2026. Live summaries of detections, takedowns, and monetization channels disabled on behalf of protected clients will appear here on a weekly cadence as we go live.

Sample entries will read in the form of:

  • A finance executive’s LinkedIn portrait used as the training image for a chatbot on a paid AI companion platform, generating subscriber engagement before her network became aware.
  • A consultant’s conference headshot used as source material for explicit AI-generated images posted to a paid subscription account on a creator platform, with hundreds of subscribers paying monthly.
  • A small-business owner’s Instagram photos used in a deepfake scam advertisement promoting fraudulent products, run as paid ads on a major social platform.
  • An athlete’s social media page photo repackaged into a Telegram channel selling subscription access to galleries of AI-generated content, with a recurring payment funnel and an obfuscated link aggregator.

These are the kinds of finds Drivon’s investigation surfaces. The actual entries will replace these examples when production reporting begins.

07 — Identity verification

Why we verify your identity

Anyone can claim to be anyone online. A self-service engagement with only an email and password would mean a stalker could register an account in their target’s name, see what Drivon OS has found about them, and use that information to escalate. That isn’t hypothetical — it’s how impersonation harassment works.

Drivon Protection operates as a self-service engagement, but identity verification happens through Holanox — Vallon Studios’ identification software — before access begins. Verification is anchored to your LinkedIn profile: an established professional identity with employment history, connections, and a verified profile photo is hard to fake at the level required. Clients confirm ownership with a short verification video — you say a phrase generated on the spot and perform a simple action, recorded plainly — matched against your verified identity, so it confirms a live person rather than a stolen photo or a polished fake. You then give explicit, revocable consent for Drivon Protection to investigate on your behalf. A case file is opened only after Holanox returns a successful verification.

Account access is locked to the verified identity, not just to a password — sign-in is by a one-time link to your verified email, so there is no password to steal. Your consent is revocable at any time; if you revoke, all investigation on your behalf stops. Recovery runs through Holanox, not through Drivon Protection.

Holanox is operated by Vallon Studios Limited as a separate service. Verification data — LinkedIn proof artifacts, photo-match records, audit logs — lives on Holanox, not on Drivon Protection. Drivon OS holds only the verification status. Learn more about Holanox →

08 — About the founder

Drivon was built by an investigator

Drivon Protection was founded by Jeremy Paige, a former licensed private investigator in Alberta, Canada (2023–2025). Working individual cases under NDA, he saw consistent patterns in how online harassment, impersonation, and synthetic-content-driven stalking actually operate — and a consistent gap between what platforms do when notified and what victims actually need.

Drivon Protection is what he built to close that gap: investigative discipline applied with AI tooling, operated under Vallon Studios Limited.

The founder oversees the detection methodology, the verification standard, and the response when material findings emerge through the White Glove Option. Day-to-day monitoring is automated; but significant findings — high-monetization accounts, named operators, content reaching scale — are manually reviewed on this option only. Drivon Protection has no junior staff, no sales team, no social media accounts, and no offshore monitoring center. The person accountable for the work is the same person whose name is on this page.

Verifiable Credentials
Alberta private investigator license (2023–2025) is verifiable through Alberta Security Programs (Public Safety and Emergency Services), the body that licenses private investigators under the Security Services and Investigators Act. Direct verification: ssia.registrar@gov.ab.ca or 1-877-462-0791. Vallon Studios Limited is publicly verifiable through Alberta Corporate Registry.
Jeremy Paige on LinkedIn →
09 — Engagement

Start your investigation

Drivon Protection is a self-service engagement. Pricing starts at $149 per month for ongoing investigation across the AI image platforms, paid subscription accounts, model repositories, and search-indexed venues most likely to be hosting your likeness — with a one-time Evidence Sweep at $299 for a single full investigation.

Engagement takes about 10 minutes. Identity verification runs through Holanox at engagement; your investigation is available the moment verification clears — you run it yourself from your private dashboard, or it runs automatically on your tier’s cadence.

What engagement asks for

Holanox handles the verification flow on a separate domain. Verification data lives on Holanox; Drivon Protection receives only the verification status. Your verified identity keeps the account anchored, and your consent stays revocable at any time.

Start your investigation →
Engagement types
Citations
  1. New York Times analysis of X data, January 2026 — House Judiciary Committee submission
  2. TAKE IT DOWN Act — Wikipedia overview
  3. The TAKE IT DOWN Act Goes Live — WilmerHale, June 2026
  4. United States Seizes Domain Names Publishing Nude Digital Forgeries of Famous Women — DOJ, June 2026
  5. Women and girls are taking Grok to court — 19th News, March 2026
  6. Deepfakes on Demand — Hawkins, Russell, and Mittelstadt, FAccT 2025
  7. Someone released an AI model that makes deepfakes of me — Jingna Zhang, May 2025
  8. I reported a deepfake on X. Here’s what happened — Yahoo Sports, July 2025
  9. Loti AI Series A funding round — BusinessWire, April 2025
  10. WTA and ITF publish season-wide online abuse and threat report — WTA Tennis, June 2025
  11. Meta’s Unauthorized AI Chatbots Impersonating Celebrities — Variety, August 2025
  12. ParentsTogether Action & Heat Initiative: Darling, Please Come Back Soon: Sexual Exploitation, Manipulation, and Violence on Character AI Kids' Accounts — September 2025
  13. Women’s deepfake lawsuit targets AI porn industry — Axios Kansas City, March 2026
  14. Grok AI Deepfake — Wallace Miller (CCDH 3M-images statistic)
  15. Women and girls are taking Grok to court — 19th News, March 2026
  16. AI Deepfake Nude Images: Can You Sue? — Nolo, March 2026 (DEFIANCE Act damages)
  17. $10M lawsuit filed against Houston business owner accused of making deepfake sexual content of influencer — Click2Houston, January 2026