Gone are the days when the word “pirate” primarily conjured images of clever scoundrels like Captain Jack Sparrow, swaggering across the high seas in search of gold and jewels. Today’s most prolific pirates operate in the darkest corners of the internet, armed with bots, scrapers and generative AI.
The treasure they seek looks different too.
Digital piracy once meant stealing an image or video and reposting it without permission. Now, bad actors can scrape content from behind a paywall, alter it beyond recognition and churn out countless variations within minutes. They can place a performer’s face onto another body, clone a voice, manufacture convincing new scenes or create a fake account to deceive fans and collect their money.
What pirates plunder now extends beyond content and revenue. Increasingly, they are coming after something far more personal and impossible to replace: a creator’s identity.
That poses an especially serious threat to adult creators, who build their businesses by sharing their image across multiple platforms and cultivating trusted relationships with fans. The same visibility that powers their careers can also provide the raw material to imitate them. By the time a creator discovers the deception, synthetic content may have already spread, generated advertising revenue and collected payments from fans who believed it was real.
As content theft becomes tangled with impersonation and identity theft, traditional defenses are being put to the test. Laws and enforcement tools created to remove stolen material do not always fit content that has been altered or generated from scratch.
Fortunately, AI is also strengthening the industry’s defenses. New tools can detect manipulated content, trace leaks and disrupt unauthorized distribution.
The black flag still flies, but now it sails through an ocean of algorithms. To learn how creators and companies can protect their content, likenesses and livelihoods from this new wave of plundering, XBIZ gathered experts from across the industry to chart the dangers ahead and the defenses that can keep pirates at bay.
Plunder at Machine Speed
Pirates have always adapted quickly to new distribution models, but generative AI has removed many of the barriers that once limited their reach. Operations that previously demanded technical knowledge, manual labor and significant time can now be built and expanded with far fewer resources.
“AI hasn’t just made piracy faster,” says Battleship Stance founder Jason Tucker. “It has lowered the skill level required to operate a sophisticated piracy business.”
Mirror sites offer a prime example. Once laborious to create, these copies can now be launched almost automatically, allowing operators to replace seized or shuttered domains at dizzying speed.
“We recently shut down a network of 13 websites,” Tucker recounts. “Fifteen popped up in their place. We took those down, three more went up, and we took those too.”
Each domain seizure also disrupted the operator’s traffic. Eventually, Tucker says, the sustained pressure wore the pirate down enough to agree to terms. Still, the relentless proliferation shows how automation has turned enforcement into a battle of stamina as much as technology.
Having spent a decade as a creator before becoming community manager at BranditScan, Aerie Saunders understands that imbalance from both sides. She says creators may initially view piracy as a persistent nuisance without realizing how complex the machinery behind it has become.
Saunders points to the inexpensive bots, crawlers and automated programs pirates can deploy to scrape paywalls around the clock, then profit through advertising, access fees or fake accounts posing as the creators they target.
“As a creator, you can’t be around 24/7 to identify leaks and troubleshoot them at a moment’s notice, but the pirates have the ability to be active 24/7 stealing and then posting those leaks," she explains.
Reba Rocket, owner, chief operating officer and chief marketing officer of Takedown Piracy, has witnessed AI accelerate every stage of infringement.
"Tools that can instantly modify hair color, clothing, backgrounds or facial and body features allow pirates to alter content with almost no effort," she says. "They can also reproduce and distribute that content at a pace that far exceeds traditional infringement."
The threat also extends far beyond copying and reposting. Madelaine Thomas, founder and CEO of Image Angel, points to nudification apps, deepfake generators and chatbots trained to mimic stolen voices. These tools can help bad actors create fraudulent profiles, impersonate creators and extort victims under their own names.
"For every step we take to make the content creator economy safer, bad actors will look to bend it, break it and use it to their advantage," Thomas cautions. "Risk has always existed in some form when it comes to sharing intimate media. It's the nature of these vulnerabilities that has changed."
AI specialist Christoph Hermes notes that even when stolen content is never directly redistributed, a creator's recognizable features can be extracted from it and used to generate countless synthetic variations that appear authentic.
"The problem is no longer simply about someone stealing a video or image," he says. "It increasingly involves the unauthorized use of a person's content, identity and likeness."
Identity Under a False Flag
That evolution from stolen content to stolen identity carries consequences far beyond unauthorized distribution. By transforming what they take into convincing new material, bad actors can appropriate a creator’s face, voice and reputation along with their work.
“The most concerning trend is the creation of AI-generated likenesses of performers, including near-exact replicas used to run fake accounts, channels and websites," Rocket says. "These impersonators sell fabricated or stolen content and deceive users who believe they're interacting with the real creator."
For creators whose businesses depend on the trust they build with their audiences, the repercussions can extend well beyond a lost sale.
“The hardest impacts from fake profiles and AI-generated replicas are usually not the lost revenue, but the loss of consent and control," Saunders says. "When AI copies an adult creator, it takes what the creator built over years: their name, their face, and the trust and morals they have maintained throughout their career, and allows someone with no stake in their reputation or success to create anything they want."
Those impersonators may scam or extort fans, leaving the actual performer to absorb the anger and reputational fallout. Even a creator's legitimate accounts can become collateral damage.
"Once a fan is burned by an AI account, they are quick to report every account associated with that performer, and oftentimes will also include the real creator within those reports," Saunders explains. "This can lead to account suspensions, account loss, and ultimately even more lost income and fans."
Replicated identity also complicates infringement claims. According to attorney Corey Silverstein, one of the biggest misconceptions about AI-generated adult content is that the potential legal claims are mutually exclusive.
"The same deepfake or AI-altered video can potentially implicate copyright law, right of publicity, privacy rights, nonconsensual intimate imagery laws, trademark law and other state and federal causes of action," he says.
Copyright protects the creative work itself, but generally does not give a performer ownership of their face, body, voice or identity. Depending on what was taken and how it was used, likeness, publicity, privacy and nonconsensual intimate imagery laws may also apply.
Attorney Larry Walters emphasizes that consent to create adult content does not extend automatically to future synthetic versions of the performer.
"Consent to the original shoot does not automatically authorize a later synthetic replica, and a performer who never appeared in the source material at all can still be a victim of a digital forgery," Walters says.
Silverstein puts the distinction even more plainly.
"Consent to appear in one production does not mean consent to have your face inserted into thousands of AI-generated sexual scenarios that never happened," he says.
The Detection Arms Race
Fortunately, creators and companies are not sailing into this fight defenseless. The industry has loaded its cannons with digital fingerprinting, forensic watermarking, automated scanning and human expertise.
Rocket says AI-altered content is forcing protection services to look beyond conventional visual matching.
"This shift has exposed the limitations of platforms that rely on facial recognition or narrow visual data points," she explains. "When AI can replace or reshape faces entirely, those systems fail. Full-content detection, meaning digital fingerprinting across the entire image or video, is now essential for identifying modern infringements."
Takedown Piracy's Digital Fingerprinting system takes that broader approach.
"By identifying thousands of data points across a video or image, we can detect AI-altered infringements even when metadata has been stripped," Rocket says. "In practice, AI has validated our model rather than disrupted it."
Another line of defense begins before the content is ever leaked. Image Angel's forensic watermarking embeds an invisible, unique marker into a piece of content each time a user accesses it, allowing the company to trace a stolen copy back to the responsible account.
"It's resilient against real-world uses such as cropping, resizing and compression," Thomas explains. "Even if less than 50% of the image remains, the watermark can still be recovered."
After content has been regenerated beyond recognition, the system may detect that a marker was once present, providing evidence for a takedown, platform action or legal escalation.
That attribution can help stop more than one infringement, since leakers rarely strike only once.
"Identifying and removing a single account for piracy doesn't just resolve one case," Thomas says. "It interrupts an ongoing pattern, protecting every creator that account would have gone on to leak next."
That same focus on attribution guides Tucker, who looks beyond individual files to identify the operators and connections behind piracy networks. While AI creates more noise, he says, bad actors continue to leave recognizable patterns.
"The fingerprint an operator leaves behind hasn't changed," Tucker explains. "AI lets us analyze those connections much faster. We use AI to confirm our human analysis, not replace it."
Still, no single detection method can find every infringement. Saunders says creators frequently ask whether synthetic material can be removed at all. BranditScan searches for AI content through automated scanning and also allows creators to submit material the system may have missed.
"Generative AI is still imperfect, and the imperfections in rendering a creator's face can lead to content being missed by scans," she says.
In other words, a synthetic image may resemble the creator closely enough to deceive a viewer while differing enough from their real face to evade detection.
"You'll obviously catch a lot more of this content by having a DMCA service that keeps track of your brand and image, but it's not foolproof for prevention," Saunders adds.
Those inevitable blind spots make human judgment especially important. Hermes says automated systems can screen enormous volumes of content, identify similarities and flag visual inconsistencies far faster than human moderators. Where they continue to fall short is context.
"A system may determine that an image has been manipulated, but it may not be able to determine whether the manipulation is malicious, consensual or authorized by the creator," he explains.
False positives can remove legitimate material and cost creators revenue, while missed detections allow deepfakes and impersonation to spread. Hermes therefore recommends a layered system in which AI screens content, assigns risk and directs the most complicated cases to trained reviewers. Appeals and matters involving identity, consent or potential legal consequences should also receive human scrutiny.
"The best approach is not AI versus humans, but AI-assisted human decision-making," he affirms.
Follow the Treasure
Pirates may operate in the shadows, but their treasure still leaves a trail through advertising networks, subscriptions, merchant accounts and payment rails. Whether they are selling stolen videos, charging for access to leak sites or using a performer’s likeness to market fabricated content, following that trail can reveal who is profiting and who can cut off the spoils.
“AI has made it easier to create a convincing storefront and a substantial content library very quickly,” says MobiusPay COO Jonathan Corona. “That puts more pressure on underwriting to establish who is behind the business, where the content came from, and whether the merchant has permission to sell it.”
Identifying AI-generated content alone does not establish whether a merchant has the right to monetize it, Corona cautions. Payment companies must verify the business, its operators and its relationships with performers while also looking behind the paywall at what customers can upload, generate or purchase.
“AI has not created an entirely new category of risk,” says Vendo CEO Mitch Platt. “It has dramatically increased the speed, scale and ambiguity of risks the payments industry already managed.”
He asks, “Does the merchant have the right to create, alter and monetize this person’s likeness? A consensual digital twin created by a performer can be a completely legitimate product and a valuable new revenue stream. But creating a replica of someone without their knowledge or consent raises serious concerns.”
Those permissions must be clearly documented.
“With AI, a standard model release may no longer be enough,” Platt says. “Consent should address whether someone’s image, voice or other attributes may be used to train a model, create a digital twin, generate new scenes, support automated interactions and produce commercial derivatives.”
For Platt, “The payment layer is increasingly becoming part of the trust layer.”
A merchant may later introduce face-swapping, user uploads or generative features that fundamentally change its risk profile, making continuous monitoring essential.
“During underwriting, the best way to test those guardrails is to actually use the site and try to get around them,” says Segpay President and CEO Cathy Beardsley.
Those tests can take hours and often uncover ways to generate noncompliant content or conversations, prompting Beardsley to recommend both automated safeguards and human review.
Documentation also becomes critical when a complaint arises. Beardsley recalls a merchant that faced significant fines after a performer reported potentially unauthorized content to Mastercard.
“Luckily, the merchant had all of the appropriate contracts and releases in place,” she says. “We were able to present those back to Mastercard, who then closed the case.”
Depending on the findings, a processor may require removal, restrict payments or terminate the relationship. Silverstein says processing a transaction alone does not automatically make a company responsible for a merchant’s actions, but that analysis may change when it knows about unlawful activity and continues helping monetize it.
“When litigation begins, some of the most important questions become very simple,” Silverstein says. “What did you know? When did you know it? What did you do about it?”
Enforcement in Uncharted Waters
Cutting off payments may starve a pirate operation, but it may not be enough to sink it. The next step may be legal action, which Rocket says requires particular care when deepfakes are involved.
“The overall process is similar, but the verification requirements are far more rigorous,” Rocket explains. “With deepfakes, it is critical to confirm ownership and authenticity before issuing takedown notices. This is especially important given the growing concerns about DMCA services filing bad-faith notices or attempting to remove content their clients do not actually own. Issuing takedowns without proper verification can expose both the client and the DMCA service to litigation.”
The DMCA remains valuable for unauthorized sharing, but Silverstein says it cannot address every form of synthetic abuse.
“Imagine someone uses AI to generate an entirely new pornographic video depicting a performer doing something that never happened,” he says. “The obvious question under traditional copyright law is: Whose copyrighted work is being infringed?”
That is where the federal TAKE IT DOWN Act comes in. Rather than focusing on copyright ownership, it considers whether an intimate depiction, including a qualifying AI-generated digital forgery, was shared without consent. Covered platforms generally have 48 hours after receiving a valid request to remove the material and seek out known identical copies.
“For victims of sexual deepfakes, that provides a tool that simply did not exist under the DMCA,” Silverstein says.
AI still complicates enforcement because an operator can generate 100 slightly different versions while detection systems search for identical copies.
“The law is improving, but technology is moving faster than legislation,” Silverstein cautions.
“TAKE IT DOWN is identity- and consent-based, not ownership-based,” Walters explains. “Victims should use both statutes when they fit: TAKE IT DOWN for speed and identity, DMCA when they own the source work.”
Gaps remain, including nonsexual commercial replicas, foreign operators and generation tools that may fall outside a hosting-focused removal requirement.
AI training raises another unsettled question.
“Putting content on the internet does not mean abandoning your intellectual property rights or automatically granting AI companies permission to ingest it,” Silverstein says.
Courts are still deciding whether training AI models on copyrighted material qualifies as fair use, particularly when those models can reproduce protected expression or compete with licensing markets.
Creators may also have little visibility into which training datasets contain their work.
“This area is going to generate years of litigation,” Silverstein predicts. “Any company telling creators today that AI training is categorically legal — or categorically illegal — is oversimplifying a rapidly developing area of law.”
When notices fail, Tucker advises investigators to look past AI’s novelty and trace the operator, profits, traffic, infrastructure and flow of money to identify which rights have been violated and where leverage exists.
“The technology may change, but we’re still building the case around the conduct,” he says. “Most importantly, can we slow it down or stop it from happening?”
“If the goal is getting something down fast, use takedowns,” Tucker says. “If the goal is stopping a repeat operation, go after the infrastructure: domain seizure. If the goal is setting precedent or recovering real damages, that’s litigation.”
Guarding the Ship
Whichever course a rights holder chooses, success depends on preparation. That begins with understanding what a takedown can realistically accomplish.
“When a takedown request is submitted, you’re not pressing a ‘delete button,’” says Saunders. “You’re prompting the website hosting the piracy to remove the pirated content, and you’re asking Google to remove the content from search engine results.”
Even when both comply, the same video may remain available across hundreds of other domains in a pirate network. Removing it from one site does not guarantee it will stay down.
“Piracy isn’t just someone with a screen recorder and a few hours of free time anymore,” Saunders says. “It’s an automated system built to drive profit to pirates at the expense of creators.”
Understanding those limitations can change how creators approach protection.
“Once a creator or company understands the severity of piracy and how impactful it can actually be to their bottom line, establishing better practices for preventing piracy becomes less of an afterthought and more of a must-have,” Saunders says.
She adds that companies can help by answering creators’ questions directly, making the reporting process easy to understand and providing access to knowledgeable support.
Even with better education, creators cannot shoulder the entire burden themselves. Thomas says platforms should put safeguards in place before abuse occurs instead of waiting to respond after the damage is done.
“Takedowns protect the platform’s optics; they don’t protect the victim from the initial harm or its recurrence, and they do nothing to deter the perpetrator from doing the same again,” she says. “Curative isn’t enough.”
Thomas considers preventing abuse part of a platform’s responsibility to the creators who sustain it. For creators and companies, meanwhile, one of the strongest defenses begins with the contracts governing their content and likenesses.
“Many agreements currently being used in the adult industry were drafted before anyone seriously contemplated generative AI,” Silverstein says.
He recommends specifying whether content may be used for AI training, whether a performer’s likeness or voice can be replicated, which forms of manipulation are permitted, who owns AI-assisted outputs and what happens to those rights when a relationship ends.
Those terms provide valuable ammunition when enforcement becomes necessary.
“You can’t enforce what you haven’t established ownership of,” Tucker says. “In an AI environment where your face, your work and your name can all be reproduced by someone else’s model, having a clean paper trail on what’s actually yours is the difference between a resolution and time proving the obvious.”
Platt recommends expanding that documentation into an evidence-ready record for every piece of content and likeness. Depending on the material, that may include verified identities, contracts, releases, source files, clearly documented consent and copyright or trademark registrations.
“Monitoring can help you discover theft,” Platt says. “What determines how quickly a platform, processor or bank can act is whether you can prove your rights clearly and immediately. In the age of AI, documentation is not administrative overhead. It is part of the product.”
Walters puts the consequences of arriving without that evidence more bluntly.
“Without it, you are arguing in a vacuum,” he says. “With it, you can move from complaint to takedown to damages with a record that a court, a platform and a bank can all read and understand.”
Silverstein also cautions against treating every use of AI as inherently harmful.
“I do not view AI as inherently bad for the adult industry,” he says. “There will undoubtedly be legitimate and innovative uses of AI by performers, producers and platforms. The legal problem is not the technology itself; it is using that technology to appropriate someone else’s copyrighted work or identity without consent.”
Once those boundaries are established, Rocket says creators and companies must be prepared to defend them quickly.
“Speed is the new armor,” she declares. “The companies that thrive will track every upload, every clone and every unauthorized repost, then strike before the copy spreads.”
