Data brokers are more active than ever, and it’s not stopping anytime soon. On the contrary, as the digitalization of our lives proceeds, they have more information to collect from public records, marketing databases, scraped web content, or different third-party sources. Then, they can sell it for advertising, profiling, and background checks, among other purposes. Not to mention fraud and identity theft.

The best way to approach this issue is by working with a professional data removal service. And in this space, two names often come up – Incogni and Optery. If you’re comparing, you’re likely asking: Does it really work? Is it legitimate? And which one is better?

The comparison below will walk you through differences without hype, just structure and substance.

Incogni vs Optery at a Glance

Removal Model

The structural difference is pretty clear: Incogni focuses on continuous suppression, while Optery centers on visible exposure management with plan-dependent automation depth.

Broker Coverage

Broker count alone is, of course, essential, but it doesn’t tell the full story; the type of brokers matters as well, if not more.

Incogni reports outreach to more than 420 brokers, including both public people-search websites and private databases involved in marketing, recruitment, background checks, and profiling. Many private brokers operate behind the scenes, don’t provide searchable listings, and are hard to reach for an individual. But addressing these entities targets the backend of the data trading environment directly.

Optery advertises coverage of up to 640+ brokers. However, maximum coverage requires higher-tier plans. Its tools are especially effective with public-facing sites, where listings can be easily identified and tracked. There’s not much Optery does with private brokers.

So, even though Optery may seem to have broader coverage, Incogni’s inclusion of private databases suggests deeper suppression.

Long-Term Performance

A removal service is only as strong as its follow-up system.

The problem of data reappearance is very common in the industry. Databases refresh regularly, and deleting your personal information once doesn’t guarantee that it won’t come back.

Incogni’s requests rely on applicable privacy laws and regulations where possible, and then the service follows up on non-responsive brokers and continuously monitors the web for your data. The whole process was independently assessed by Deloitte, which confirmed it works as promised.

Optery’s effectiveness is evident in public listing removals. In this case, users can easily confirm deletion and monitor progress through the dashboard. Ongoing protection and monitoring are available but depend on the subscription tier. If your concern is mainly with the public visibility of your data, Optery will be fine. 

However, for users seeking long-term, diverse protection, Incogni will bring better effects.

Pricing

Pricing Breakdown: Incogni (2026)

Incogni keeps its pricing structure clear and simple, focusing on automation and comprehensive removal.

Incogni doesn’t fragment its access across tiers – its base plan already includes its entire broker coverage as well as the recurring removal system. No free options are available, but there is a 30-day money-back guarantee for risk-free testing. Family plans expand coverage to more people in a bundle.

For American users, Incogni also offers the Protect plan, which combines its services with NordProtect – it costs $41.48/month or $20.74/month when billed annually.

Additionally, you will find Incogni in the Surfshark One+ bundle, with prices starting at $4.19/month when billed biannually.

Pricing Breakdown: Optery (2026)

Though the number of plans is similar, Optery’s pricing structure is more tiered and modular.

Optery offers a free option that includes an exposure report with dashboard access, links, and screenshots, but no automated removals. The next plan, Core, adds automated removals for a limited set of brokers. The Extended tier expands coverage and adds recurring reports with screenshots. With the top tier, Ultimate, you can reach the highest number of sites – 640+ or 400+ without enabling Expand Reach. You also get unlimited custom removals and quarterly detailed reporting.

Transparency and Reporting

Both services provide their users with dashboards, but the focus differs significantly.

Incogni tracks removal requests, responses, and status updates. As a lot of private brokers don’t publish their listings, screenshot-style confirmation isn’t always possible. Transparency centers on process reporting and tracking.

Optery highlights exposure visibility. You will see the discovered public listings, often with links or screenshots that provide clear confirmation. This approach is especially (and only) useful in the case of public-facing data.

Reputation

Incogni underwent Deloitte’s limited assurance assessment, which confirmed that its processes all work as described. This type of third-party verification is extremely unusual in this industry. Moreover, its Editors’ Choice awards from PCMag and PCWorld, alongside reviews from authorities like TechRadar and Cybernews, make it a strong contender in the privacy protection space.

Optery, on the other hand, doesn’t have any independent verification, but it has been reviewed by industry authorities like PCMag and TechRadar that praise its visibility-focused approach. 

Final Words: Incogni For the Win in 2026

Both Incogni and Optery can be valid data broker removal service choices in 2026. It all depends on what you need.

Optery is strong if you want insight into publicly visible listings and seek visual confirmation of removals.

However, in this 2026 comparison, Incogni ranks as the stronger overall data removal service. This is particularly because of its sustained backend suppression and verified operational processes that were also recognized by industry authorities. 

FAQ

Apple may be preparing to introduce an entirely new high-end laptop later this year.

According to Bloomberg’s Mark Gurman, the company is working on a premium “MacBook Ultra” featuring an OLED display and touchscreen support. This could potentially mark one of the biggest changes to the MacBook lineup in years.

The device is expected to sit above the current MacBook Pro models, rather than replace them. Gurman suggests Apple is positioning the laptop as a new top-tier option. As a result, it is expanding its Mac lineup with a more expensive, flagship-tier machine aimed at users who want the very best hardware.

Anthropic executives allege that current customers and prospective ones have been demanding new terms and even backing out of negotiations since the US Department of Defense labeled the AI startup a supply-chain risk late last month, according to court papers that also revealed new financial details about the company.

Hundreds of millions of dollars in expected revenue this year from work tied to the Pentagon is already at risk for Anthropic, the company’s chief financial officer, Krishna Rao, wrote in a court filing on Monday. But if the government has its way and pressures a broad range of companies from doing business with the AI startup, regardless of any ties to the military, Anthropic could ultimately lose billions of dollars in sales, he stated. Its all-time sales, since commercializing its technology in 2023, exceed $5 billion, according to Rao.

Anthropic’s revenue exploded as its Claude models began outperforming rivals and showing advanced capabilities in areas such as generating software code. But the company spends heavily on computing infrastructure and remains deeply unprofitable. Rao specified that Anthropic has spent over $10 billion to train and deploy its models.

Anthropic chief commercial officer Paul Smith provided several examples of partners who have privately raised concerns to the AI startup in recent days. He said a financial services customer paused negotiations over a $15 million deal because of the supply-chain label, and two leading financial services companies have refused to close deals valued together at $80 million unless they gain the right to unilaterally cancel their contracts for any reason. A grocery store chain canceled a sales meeting, citing the supply-chain-risk designation, Smith added.

“All have taken steps that reflect deep distrust and a growing fear of associating with Anthropic,” Smith wrote.

The executives’ comments are part of statements from six Anthropic leaders in support of a preliminary order that would allow the San Francisco company to continue doing business with the Department of Defense until lawsuits about the supply-chain-risk issue are resolved.

Anthropic has sued the Trump administration in two courts. A lawsuit filed in San Francisco federal court on Monday alleges the government violated the company’s free speech rights. A separate case filed Monday in the federal appeals court in Washington, DC, accuses the Defense Department of unfairly discriminating and retaliating against Anthropic.

The company is seeking a hearing as soon as Friday in San Francisco for a temporary reprieve. The legal battle and sales fallout follows a weeks-long dispute between Anthropic and the Pentagon over the potential use of AI technologies for mass domestic surveillance and autonomous lethal weapons. Anthropic contends AI is not yet capable of safely undertaking the tasks, while the Pentagon wants the right to make that judgment on its own.

By law, the supply-chain designation prevents a narrow set of companies that do business with the Pentagon from incorporating Anthropic into their systems. But Defense secretary Pete Hegseth has cast a wider net. He posted on X late last month that “effective immediately, no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic.”

Rao wrote that the Pentagon reinforced the message by reaching out to several startups about their use of Claude, which he said he learned had happened from speaking with an investor that Anthropic and the smaller companies all share. They “have grown worried and uncertain about their ability to use Claude,” Rao wrote.

The Pentagon declined to comment on the lawsuits and did not immediately respond to a request for comment about Rao’s allegation about the outreach.

More than 30 OpenAI and Google DeepMind employees filed a statement Monday supporting Anthropic’s lawsuit against the U.S. Defense Department after the federal agency labeled the AI firm a supply-chain risk, according to court filings.

“The government’s designation of Anthropic as a supply chain risk was an improper and arbitrary use of power that has serious ramifications for our industry,” reads the brief, whose signatories include Google DeepMind chief scientist Jeff Dean.

Late last week, the Pentagon labeled Anthropic a supply-chain risk — usually reserved for foreign adversaries — after the AI firm refused to allow the Department of Defense (DOD) to use its technology for mass surveillance of Americans or autonomously firing weapons. The DOD had argued that it should be able to use AI for any “lawful” purpose and not be constrained by a private contractor.

The amicus brief in support of Anthropic showed up on the docket a few hours after the Claude maker filed two lawsuits against the DOD and other federal agencies. Wired was first to report the news.

In the court filing, the Google and OpenAI employees make the point that if the Pentagon was “no longer satisfied with the agreed-upon terms of its contract with Anthropic,” the agency could have “simply canceled the contract and purchased the services of another leading AI company.”

The DOD did, in fact, sign a deal with OpenAI within moments of designating Anthropic a supply-chain risk — a move many of the ChatGPT maker’s employees protested.

“If allowed to proceed, this effort to punish one of the leading U.S. AI companies will undoubtedly have consequences for the United States’ industrial and scientific competitiveness in the field of artificial intelligence and beyond,” the brief reads. “And it will chill open deliberation in our field about the risks and benefits of today’s AI systems.”

The filing also affirms that Anthropic’s stated red lines are legitimate concerns warranting strong guardrails. Without public law to govern AI use, it argues, the contractual and technical restrictions developers impose on their systems are a critical safeguard against catastrophic misuse.

Many of the employees who signed the statement also signed open letters over the last couple of weeks urging the DOD to withdraw the label and calling on the leaders of their companies to support Anthropic and refuse unilateral use of their AI systems.

Nvidia is planning to launch an open-source platform for AI agents, people familiar with the company’s plans tell WIRED.

The chipmaker has been pitching the product, referred to as NemoClaw, to enterprise software companies. The platform will allow these companies to dispatch AI agents to perform tasks for their own workforces. Companies will be able to access the platform regardless of whether their products run on Nvidia’s chips, sources say.

The move comes as Nvidia prepares for its annual developer conference in San Jose next week. Ahead of the conference, Nvidia has reached out to companies including Salesforce, Cisco, Google, Adobe, and CrowdStrike to forge partnerships for the agent platform. It’s unclear whether these conversations have resulted in official partnerships. Since the platform is open source, it’s likely that partners would get free, early access in exchange for contributing to the project, sources say. Nvidia plans to offer security and privacy tools as part of this new open-source agent platform.

Nvidia did not respond to a request for comment. Representatives from Cisco, Google, Adobe, and CrowdStrike also did not respond to requests for comment. Salesforce did not provide a statement prior to publication.

Nvidia’s interest in agents comes as people are embracing “claws,” or open-source AI tools that run locally on a user’s machine and perform sequential tasks. Claws are often described as self-learning, in that they’re supposed to automatically improve over time. Earlier this year, an AI agent known as OpenClaw—which was first called Clawdbot, then Moltbot—captivated Silicon Valley due to its ability to run autonomously on personal computers and complete work tasks for users. OpenAI ended up acquiring the project and hiring the creator behind it.

OpenAI and Anthropic have made significant improvements in model reliability in recent years, but their chatbots still require hand-holding. Purpose-built AI agents or claws, on the other hand, are designed to execute multiple steps without as much human supervision.

The usage of claws within enterprise environments is controversial. WIRED previously reported that some tech companies, including Meta, have asked employees to refrain from using OpenClaw on their work computers, due to the unpredictability of the agents and potential security risks. Last month a Meta employee who oversees safety and alignment for the company’s AI lab publicly shared a story about an AI agent going rogue on her machine and mass deleting her emails.

For Nvidia, NemoClaw appears to be part of an effort to court enterprise software companies by offering additional layers of security for AI agents. It’s also another step in the company’s embrace of open-source AI models, part of a broader strategy to maintain its dominance in AI infrastructure at a time when leading AI labs are building their own custom chips. Nvidia’s software strategy until now has been heavily reliant on its CUDA platform, a famously proprietary system that locks developers into building software for Nvidia’s GPUs and has created a crucial “moat” for the company.

Last month The Wall Street Journal reported that Nvidia also plans to reveal a new chip system for inference computing at its developer conference. The system will incorporate a chip designed by the startup Groq, which Nvidia entered into a multibillion-dollar licensing agreement with late last year.

Paresh Dave and Maxwell Zeff contributed to this report.