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Data brokers, not flashy cybercriminals, may be the most persistent threat to personal privacy, according to the latest Security Bite podcast episode from 9to5Mac. In the July 28, 2026 installment, host Arin Waichulis speaks with Miguel Fornés of Incogni about how personal data is gathered, packaged, and resold, and why the problem is becoming more severe as artificial intelligence increases the value of detailed profiling.

What the episode focuses on

The episode centers on a simple but unsettling idea: large quantities of personal information are being collected from ordinary online activity and assembled into profiles that can follow people across services and platforms. Waichulis says data brokers are “quietly building detailed profiles on all of us,” and the conversation with Fornés explores where that information comes from, who buys it, and why the market around it continues to expand.

According to the show description, the discussion also examines how AI is making the privacy problem more dangerous. The concern is not only that data brokers collect information, but that machine learning and other AI systems can make that information more useful, more searchable, and more profitable.

Who is involved

Arin Waichulis hosts the episode and is identified by 9to5Mac as the author of the post. His guest is Miguel Fornés of Incogni, a company that focuses on helping people remove personal data from broker databases. The podcast episode is part of the 9to5Mac Podcast Network and is presented under the Security Bite banner.

The post also notes that 9to5Mac Security Bite is sponsored by Mosyle, described in the material as “the only Apple Unified Platform.” The sponsorship copy says Mosyle combines management and security tools for Apple devices, including “Hardening & Compliance,” “Next Generation EDR,” “AI-powered Zero Trust,” and “Privilege Management,” and says it is trusted by over 45,000 organizations. That sponsor language appears in the source material as part of the post’s standard promotional placement.

Why data brokers matter

Data brokers operate largely behind the scenes. Rather than directly stealing data in a single dramatic breach, they collect, infer, and resell information from a wide variety of sources. The result can be a surprisingly detailed picture of a person’s habits, interests, location patterns, and even sensitive attributes. The episode frames this as a broader privacy threat because it is widespread, difficult for users to see, and hard to stop once the data is circulating.

That threat is especially relevant on Apple platforms and across the modern web because data collection is not limited to one app or one service. The episode’s premise suggests that brokers rely on the steady accumulation of small bits of information, often gathered through forms, browsing behavior, app ecosystems, and other routine digital interactions. Over time, those fragments can become a marketable profile.

AI makes the problem more dangerous

The source material emphasizes one key point: under AI, the threat from data brokers is getting increasingly more dangerous. While the post does not spell out a technical deep dive, the implication is that AI tools can make existing brokered data more powerful by improving analysis, categorization, and targeting. In other words, information that might have once been noisy or incomplete becomes more useful when processed at scale.

That concern aligns with the links highlighted in the post, including one about AI companies and data brokers allegedly resorting to fake forms to keep selling data, and another about proposed legislation aimed at banning AI companies from selling health data. Those references suggest the discussion reaches beyond abstract privacy theory and into current policy and business practices.

What Incogni brings to the conversation

Incogni is positioned in the episode as a company focused on privacy remediation. The post points listeners to Incogni’s free digital footprint checker and to the company’s research lab, where it publishes studies and surveys. That context indicates the conversation is meant not just to warn about the problem, but to point listeners toward tools and research related to reducing their exposure.

Fornés’ presence on the episode suggests a practical angle. Rather than treating privacy as a purely legal or abstract issue, the discussion appears designed to explain how data flows through the broker ecosystem and what people can do about it. The source does not provide a transcript, so the exact details of the exchange are limited to the summary and show links, but the framing is clear: the episode treats data brokers as a major privacy problem with real-world consequences.

Where the episode fits in the broader privacy debate

The timing of the episode matters. The post is dated July 28, 2026, at 2:00 am PT, and it arrives amid growing public concern about how personal data is collected, shared, and monetized. By spotlighting data brokers, the show redirects attention away from the more familiar image of hackers and toward the quieter, legal, and often opaque systems that fuel modern surveillance and targeting.

That framing is important because a lot of privacy harm does not come from a single breach. It comes from aggregation. A person’s email address, device activity, shopping habits, location history, and inferred interests can all be collected by different entities and then combined into a far more revealing profile. Once data enters the broker ecosystem, users may have little visibility into where it goes next.

The episode’s argument is that AI intensifies that reality. If data brokers were already operating in the background, AI can make those databases more actionable, more predictive, and potentially more harmful. That is why the podcast’s title and description describe data brokers as a leading privacy threat rather than just one privacy issue among many.

Listening options and availability

9to5Mac says the episode is available through its usual podcast distribution channels, including Apple Podcasts, Spotify, Amazon Music, Pocket Casts, and RSS. The post also includes a “Subscribe to the show” section and links to follow the host on social platforms. As with other 9to5Mac podcast entries, the page is structured to provide both the episode context and multiple ways for listeners to access the show.

For listeners interested in privacy, the episode appears to be aimed at making a complex issue easier to understand. It does not claim that every data broker operates the same way, nor does it present a single fix. Instead, it highlights how broad the problem has become and why AI may accelerate it further.

What makes the episode notable is its central warning: privacy harm is often hidden in plain sight, and the companies collecting and reselling data may be more influential than many users realize. By focusing on data brokers as a structural threat, Security Bite adds urgency to a conversation that is increasingly shaping both consumer protection and AI policy.

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Source: Original report