The “Smart Home” of the 21st century isn’t just supposed to be a monument to convenience, we’re told, but also to protection, a Tony Stark-like bubble of vigilant algorithms and internet-connected sensors working ceaselessly to watch over us. But for some who’ve welcomed in Amazon’s Ring security cameras, there have been more than just algorithms watching through the lens, according to sources alarmed by Ring’s dismal privacy practices.
Ring has a history of lax, sloppy oversight when it comes to deciding who has access to some of the most precious, intimate data belonging to any person: a live, high-definition feed from around — and perhaps inside — their house. The company has marketed its line of miniature cameras, designed to be mounted as doorbells, in garages, and on bookshelves, not only as a means of keeping tabs on your home while you’re away, but of creating a sort of privatized neighborhood watch, a constellation of overlapping camera feeds that will help police detect and apprehend burglars (and worse) as they approach. “Our mission to reduce crime in neighborhoods has been at the core of everything we do at Ring,” founder and CEO Jamie Siminoff wrote last spring to commemorate the company’s reported $1 billion acquisition payday from Amazon, a company with its own recent history of troubling facial recognition practices. The marketing is working; Ring is a consumer hit and a press darling.
Despite its mission to keep people and their property secure, the company’s treatment of customer video feeds has been anything but, people familiar with the company’s practices told The Intercept. Beginning in 2016, according to one source, Ring provided its Ukraine-based research and development team virtually unfettered access to a folder on Amazon’s S3 cloud storage service that contained every video created by every Ring camera around the world. This would amount to an enormous list of highly sensitive files that could be easily browsed and viewed. Downloading and sharing these customer video files would have required little more than a click. The Information, which has aggressively covered Ring’s security lapses, reported on these practices last month.
At the time the Ukrainian access was provided, the video files were left unencrypted, the source said, because of Ring leadership’s “sense that encryption would make the company less valuable,” owing to the expense of implementing encryption and lost revenue opportunities due to restricted access. The Ukraine team was also provided with a corresponding database that linked each specific video file to corresponding specific Ring customers.
At the same time, the source said, Ring unnecessarily provided executives and engineers in the U.S. with highly privileged access to the company’s technical support video portal, allowing unfiltered, round-the-clock live feeds from some customer cameras, regardless of whether they needed access to this extremely sensitive data to do their jobs. For someone who’d been given this top-level access — comparable to Uber’s infamous “God mode” map that revealed the movements of all passengers — only a Ring customer’s email address was required to watch cameras from that person’s home. Although the source said they never personally witnessed any egregious abuses, they told The Intercept “if [someone] knew a reporter or competitor’s email address, [they] could view all their cameras.” The source also recounted instances of Ring engineers “teasing each other about who they brought home” after romantic dates. Although the engineers in question were aware that they were being surveilled by their co-workers in real time, the source questioned whether their companions were similarly informed.
Ring’s decision to grant this access to its Ukraine team was spurred in part by the weaknesses of its in-house facial and object recognition software. Neighbors, the company’s disarming name for its distributed residential surveillance platform, is now a marquee feature for Ring’s cameras, billed as a “proactive” neighborhood watch. This real-time crime-fighting requires more than raw video — it requires the ability to make sense, quickly and at a vast scale, of what’s actually happening in these household video streams. Is that a dog or your husband? Is that a burglar or a tree? Ring’s software has for years struggled with these fundamentals of object recognition. According to the most recent Information report, “Users routinely complained to customer support about receiving alerts when nothing noteworthy was happening at their front door; instead, the system seemed to be detecting a car driving by on the street or a leaf falling from a tree in the front yard.”
Computer vision has made incredible strides in recent years, but creating software that can categorize objects from scratch is often expensive and time-consuming. To jump-start the process, Ring used its Ukrainian “data operators” as a crutch for its lackluster artificial intelligence efforts, manually tagging and labeling objects in a given video as part of a “training” process to teach software with the hope that it might be able to detect such things on its own in the near future. This process is still apparently underway years later: Ring Labs, the name of the Ukrainian operation, is still employing people as data operators, according to LinkedIn, and posting job listings for vacant video-tagging gigs: “You must be able to recognize and tag all moving objects in the video correctly with high accuracy,” reads one job ad. “Be ready for rapid changes in tasks in the same way as be ready for long monotonous work.”