Deep Identity Protection for Public Figures

Find out who is profiting from your likeness — and get the evidence to stop them.

For a public figure, the problem isn’t only that AI-generated content of you exists — it’s that people are building audiences and businesses off it. Drivon OS runs the deepest investigation for our clients: it finds the content and impersonations across image platforms, chatbots, forums, and paid venues, identifies the operators behind them, documents what they’re earning, and delivers the evidence you need to act.

Public figures are the highest-value targets for synthetic content: a recognizable face and name drives more traffic, more subscribers, and more revenue for the operators who exploit it. The source images come from red carpets, press photos, social feeds, and screen captures — and the tools that weaponize them are publicly available, cheaply priced, and indexed by search engines. The scale and the money are larger, and so is the need to see the whole picture.

Drivon OS finds it at the source — the AI image platforms, the paid subscription accounts using your face, the chatbots trained to impersonate you, the channels selling galleries built around your likeness — identifies the operators running them, documents the revenue, and delivers a report built specifically for you to act on.

Other services find finished deepfakes after they’ve spread. Drivon OS finds where your likeness is being used, who is running it, and what they may be earning — giving you the intelligence you need to shut it down.

Become a protected client →

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 for profit.

01 — 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.

02 — 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

03 — 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 that pop up fast and need to be acted on.

Drivon Protection is downstream of all three. We find what they’ve done, document the monetization, and assemble time stamped evidence needed for you to act on it, once you give us your consent. We do not run pre scans.

04 — How it works

What Drivon OS does

All three layers run on Drivon’s investigation engine, which orchestrates detection, operator intelligence, revenue documentation, and monitoring for each client — scoped to their own verified identity through our Holanox Certified Verification platform, so no one can open a file in your name, but you. Once Verified, you run the scans through 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 face, 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 has been attached to paid impersonation accounts. We find the artifacts and the revenue streams while there is still time to act.

01b — Confirmation

Confirmed by face, not by name

A name is not proof — public figures share names with countless other people, and a name beside harmful content doesn’t mean the content depicts you. So every candidate Drivon OS surfaces is confirmed against your verified reference face before it counts. Your face is the arbiter: a match on a harm venue is confirmed and reported; a name coincidence is checked and dropped, because it isn’t you. For a Drivon OS client this runs continuously and automatically — face-confirmed findings are delivered straight to your team, with no waiting on a manual review queue. Your people decide what to do with confirmed information; Drivon makes sure what reaches them is genuinely yours.

02 — Documentation

Operator intelligence and revenue documentation

Every finding is documented with archived URLs, screenshots, and timestamps — and Drivon OS goes a layer deeper. It resolves the accounts, handles, and channels reposting or selling your likeness into operator profiles, consolidating the same person across platforms and mapping the network behind the content. Where your face or name is 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 an intelligence report showing where your likeness is being used, by whom, and what they’re 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 to our users. 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 — Why this exists

The harm is documented, and the people it happens to rarely have a way out on their own.

Drivon Protection exists because a specific, growing category of harm has outpaced the ability of the people it targets to respond to it. The cases below are drawn from public reporting, government records, and victim-advocacy organizations. We do not name the sites involved and we do not describe how this material is made — naming either would only spread the harm further. What follows is the pattern, and why finding and removing this content is work most people cannot do alone.

Canada · 2026

Dozens of women, their faces taken from social media. In a multi-jurisdiction investigation led by police in Ottawa, more than fifty Canadian women were identified as having had ordinary photographs — taken from their own public social-media profiles — manipulated by AI into fabricated explicit and violent scenes and posted online without their consent.1 The women who spoke publicly, ranging in age from their twenties to their sixties, described anxiety in public, panic attacks at the thought of being photographed, and a constant question of what else might still be out there.1 Even after police confirmed removals, one of the main sites hosting the content went offline and then returned — a reminder that removal is not a single event but something that has to be watched.1

Canada · the law, catching up

For years, the law did not recognize the harm. In more than one Canadian case during 2025 and 2026, men who created AI-generated sexual images of real, identifiable women were acquitted, because the existing Criminal Code definition of an "intimate image" required an actual recording of the person — not a synthetic one.2 One judge wrote that the material was "morally reprehensible" but not, as the law then stood, criminal.2 That gap was only closed in June 2026, when Parliament passed the Protecting Victims Act (Bill C-16), redefining an intimate image to include AI-generated depictions likely to be mistaken for the real person.3 For everyone harmed in the years before, the recognition arrived late.

United Kingdom · the recourse gap

"Unless your abuse becomes a media story, you're on your own." That is how a leading UK victim-advocacy coalition described the reality for someone targeted by deepfake abuse: specialist support services are overstretched, the regulator does not handle individual cases, and the burden of finding and reporting the content falls on the victim herself.4 When the United Kingdom finally made it a criminal offence to create a non-consensual sexual deepfake of an adult, in February 2026, campaigners welcomed it but were direct about its limits: the new law does not automatically remove anything from the internet, and it does not, on its own, give survivors an easy route to getting material taken down.5

United Kingdom · the scale

Hundreds of thousands of videos. Billions of views. Evidence cited in the UK Parliament recorded roughly 275,000 intimate deepfake videos on major sites in a single year, drawing more than four billion views;6 by 2025, an estimated eight million deepfakes were shared, up from half a million two years earlier.6 Survivors who campaigned for the law — including public figures who chose to speak openly about being targeted — described a turning point for victims who, until then, had almost nowhere to turn.7

Public figures · a global crisis

The more visible you are, the larger the target. The United Nations has called AI-driven deepfake abuse "a global crisis."8 In a survey of more than 640 women in public-facing roles across 119 countries, a significant share reported having intimate or manipulated images of themselves circulated without consent — and more than forty percent said they had self-censored, stepping back from public life to avoid the abuse.8 For actors, broadcasters, executives, and anyone whose face is part of their profession, the same public presence that the work requires is also the raw material this abuse depends on.

Ordinary people · removal on their behalf

Victims benefit most when they don't have to fight alone. Reviewing a case involving a non-public woman whose likeness was used in a fabricated video without her consent, an independent oversight body found that victims of this abuse benefit most from rapid removal and from ways of flagging content that do not rely on the victim reporting it herself — and recommended that trusted representatives be allowed to report on a victim's behalf.9 That is the core of what Drivon does: with a client's consent and identity verified, we do the finding and the documenting, so the person harmed is not left to search for the worst content about themselves.

Every Drivon Protection engagement begins with the same requirement: the person we search for is the person who asked us to, verified and consenting. We look for a client's own likeness, document what we find, and provide the path to have it removed. We do not publish the names of the sites involved, and nothing in our work teaches anyone how this harm is produced. The point is not to catalogue the problem — it is to help the people caught in 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 Protection 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, with redcated names.

Sample entries will read in the form of:

A performer’s press photos used as the training image for an impersonating chatbot on a paid AI companion platform, generating hundreds of thousands of subscriber interactions before her team became aware.
A public figure’s red-carpet photos used as source material for explicit AI-generated images posted to a paid subscription account on a creator platform, with a documented monthly subscriber revenue stream running off her likeness.
An athlete’s likeness used in a deepfake scam advertisement endorsing fraudulent products, run as paid ads on a major social platform without her knowledge or consent.
A recording artist’s images repackaged into a Telegram channel selling subscription access to galleries of AI-generated content, with a recurring payment funnel, an obfuscated link aggregator, and a network of linked operator accounts.

These are the kinds of findings Drivon’s investigation surfaces. The actual entries will replace these examples when your 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 someone could register an account in a public figure’s name, see what Drivon OS has found about them, and use that information to exploit or 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 could also choose to take a selfie instead, plus 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 OS to investigate on your behalf after payment. 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 OS. Drivon Protection holds only the verification status. Learn more about Holanox →

08 — About the founder

Drivon OS was built by a former private 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. Day-to-day monitoring is automated; significant findings — high-monetization accounts, named operators, content reaching scale — trigger founder review. 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 OS is the deep tier — built for the scale of exposure a public figure faces. Protected-client engagement starts at $1,497 per month for the full deep investigation: widest venue coverage, face-match confirmation, operator intelligence, revenue documentation, and continuous monitoring. A one-time Expedited Audit runs the complete deep investigation as a 30-day intensive.

Engagement takes about 10 minutes. Identity verification runs through Holanox at engagement — the deep investigation runs only on your own verified likeness, on your authorization. Agencies protecting a roster engage through a consultation rather than self-service checkout.

What engagement asks for

Your name, email, and payment information
Your LinkedIn profile URL or verified selfie — used by Holanox for identity verification
The identity to be investigated — the verified likeness is the anchor, and the investigation is scoped to that person, who verifies and consents individually
Anything you’ve already discovered — URLs, screenshots, the incident that brought you here, if there is one

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.

Become a protected client →

Engagement types

Standard Protected Client

$1,497 / mo

Annual engagement · deep audit included

Ongoing deep protection for a public figure. Drivon OS runs the full deep investigation — detection across the widest venue set, face-match confirmation, operator intelligence, revenue documentation, and evidence assembly — then monitors continuously and re-documents as operators return and content reappears.

Become a protected client →

Expedited Audit

$3,497

One-time · 30-day intensive

For a public figure who needs the full picture now. A 30-day intensive deep audit — complete detection, operator intelligence, and revenue documentation, delivered fast, with the documented evidence package at the end. Identity verification is still required before the investigation begins.

Start expedited audit →

Agency Channel

from $1,497 / client / mo

$1,247 / client / mo at 3+ clients

For agencies and management protecting a roster. Deep protection across multiple clients, with volume pricing and a single point of contact. Each client verifies and consents individually through Holanox; the agency manages the engagement. Set up through a consultation.

Request a consultation →

Enterprise & Federation

from $35,000 / yr

Custom · per organization

For studios, labels, leagues, and organizations protecting many public figures at scale. A custom engagement scoped to your organization — deep protection, reporting, and integration built around your roster, with each protected individual verified and consenting. Quoted per organization.

Request a consultation →

Citations