Entries Tagged "databases"

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Data Is a Toxic Asset

Thefts of personal information aren’t unusual. Every week, thieves break into networks and steal data about people, often tens of millions at a time. Most of the time it’s information that’s needed to commit fraud, as happened in 2015 to Experian and the IRS.

Sometimes it’s stolen for purposes of embarrassment or coercion, as in the 2015 cases of Ashley Madison and the US Office of Personnel Management. The latter exposed highly sensitive personal data that affects security of millions of government employees, probably to the Chinese. Always it’s personal information about us, information that we shared with the expectation that the recipients would keep it secret. And in every case, they did not.

The telecommunications company TalkTalk admitted that its data breach last year resulted in criminals using customer information to commit fraud. This was more bad news for a company that’s been hacked three times in the past 12 months, and has already seen some disastrous effects from losing customer data, including £60 million (about $83 million) in damages and over 100,000 customers. Its stock price took a pummeling as well.

People have been writing about 2015 as the year of data theft. I’m not sure if more personal records were stolen last year than in other recent years, but it certainly was a year for big stories about data thefts. I also think it was the year that industry started to realize that data is a toxic asset.

The phrase “big data” refers to the idea that large databases of seemingly random data about people are valuable. Retailers save our purchasing habits. Cell phone companies and app providers save our location information.

Telecommunications providers, social networks, and many other types of companies save information about who we talk to and share things with. Data brokers save everything about us they can get their hands on. This data is saved and analyzed, bought and sold, and used for marketing and other persuasive purposes.

And because the cost of saving all this data is so cheap, there’s no reason not to save as much as possible, and save it all forever. Figuring out what isn’t worth saving is hard. And because someday the companies might figure out how to turn the data into money, until recently there was absolutely no downside to saving everything. That changed this past year.

What all these data breaches are teaching us is that data is a toxic asset and saving it is dangerous.

Saving it is dangerous because it’s highly personal. Location data reveals where we live, where we work, and how we spend our time. If we all have a location tracker like a smartphone, correlating data reveals who we spend our time with­—including who we spend the night with.

Our Internet search data reveals what’s important to us, including our hopes, fears, desires and secrets. Communications data reveals who our intimates are, and what we talk about with them. I could go on. Our reading habits, or purchasing data, or data from sensors as diverse as cameras and fitness trackers: All of it can be intimate.

Saving it is dangerous because many people want it. Of course companies want it; that’s why they collect it in the first place. But governments want it, too. In the United States, the National Security Agency and FBI use secret deals, coercion, threats and legal compulsion to get at the data. Foreign governments just come in and steal it. When a company with personal data goes bankrupt, it’s one of the assets that gets sold.

Saving it is dangerous because it’s hard for companies to secure. For a lot of reasons, computer and network security is very difficult. Attackers have an inherent advantage over defenders, and a sufficiently skilled, funded and motivated attacker will always get in.

And saving it is dangerous because failing to secure it is damaging. It will reduce a company’s profits, reduce its market share, hurt its stock price, cause it public embarrassment, and­—in some cases—­result in expensive lawsuits and occasionally, criminal charges.

All this makes data a toxic asset, and it continues to be toxic as long as it sits in a company’s computers and networks. The data is vulnerable, and the company is vulnerable. It’s vulnerable to hackers and governments. It’s vulnerable to employee error. And when there’s a toxic data spill, millions of people can be affected. The 2015 Anthem Health data breach affected 80 million people. The 2013 Target Corp. breach affected 110 million.

This toxic data can sit in organizational databases for a long time. Some of the stolen Office of Personnel Management data was decades old. Do you have any idea which companies still have your earliest e-mails, or your earliest posts on that now-defunct social network?

If data is toxic, why do organizations save it?

There are three reasons. The first is that we’re in the middle of the hype cycle of big data. Companies and governments are still punch-drunk on data, and have believed the wildest of promises on how valuable that data is. The research showing that more data isn’t necessarily better, and that there are serious diminishing returns when adding additional data to processes like personalized advertising, is just starting to come out.

The second is that many organizations are still downplaying the risks. Some simply don’t realize just how damaging a data breach would be. Some believe they can completely protect themselves against a data breach, or at least that their legal and public relations teams can minimize the damage if they fail. And while there’s certainly a lot that companies can do technically to better secure the data they hold about all of us, there’s no better security than deleting the data.

The last reason is that some organizations understand both the first two reasons and are saving the data anyway. The culture of venture-capital-funded start-up companies is one of extreme risk taking. These are companies that are always running out of money, that always know their impending death date.

They are so far from profitability that their only hope for surviving is to get even more money, which means they need to demonstrate rapid growth or increasing value. This motivates those companies to take risks that larger, more established, companies would never take. They might take extreme chances with our data, even flout regulations, because they literally have nothing to lose. And often, the most profitable business models are the most risky and dangerous ones.

We can be smarter than this. We need to regulate what corporations can do with our data at every stage: collection, storage, use, resale and disposal. We can make corporate executives personally liable so they know there’s a downside to taking chances. We can make the business models that involve massively surveilling people the less compelling ones, simply by making certain business practices illegal.

The Ashley Madison data breach was such a disaster for the company because it saved its customers’ real names and credit card numbers. It didn’t have to do it this way. It could have processed the credit card information, given the user access, and then deleted all identifying information.

To be sure, it would have been a different company. It would have had less revenue, because it couldn’t charge users a monthly recurring fee. Users who lost their password would have had more trouble re-accessing their account. But it would have been safer for its customers.

Similarly, the Office of Personnel Management didn’t have to store everyone’s information online and accessible. It could have taken older records offline, or at least onto a separate network with more secure access controls. Yes, it wouldn’t be immediately available to government employees doing research, but it would have been much more secure.

Data is a toxic asset. We need to start thinking about it as such, and treat it as we would any other source of toxicity. To do anything else is to risk our security and privacy.

This essay previously appeared on CNN.com.

Posted on March 4, 2016 at 5:32 AM • View Comments

More on the "Data as Exhaust" Metaphor

Research paper: Gavin J.D. Smith, “Surveillance, Data and Embodiment: On the Work of Being Watched,” Body and Society, January 2016.

Abstract: Today’s bodies are akin to ‘walking sensor platforms’. Bodies either host, or are the subjects of, an array of sensing devices that act to convert bodily movements, actions and dynamics into circulative data. This article proposes the notions of ‘disembodied exhaust’ and ’embodied exhaustion’ to conceptualise processes of bodily sensorisation and datafication. As the material body interfaces with networked sensor technologies and sensing infrastructures, it emits disembodied exhaust: gaseous flows of personal information that establish a representational data-proxy. It is this networked actant that progressively structures how embodied subjects experience their daily lives. The significance of this symbiont medium in determining the outcome of interplays between networked individuals and audiences necessitates that it is carefully contrived. The article explores the nature and function of the data-proxy, and its impact on social relations. Drawing on examples that depict individuals engaging with their data-proxies, the article suggests that managing a virtual presence is analogous to a work relation, demanding diligence and investment. But it also shows how the data-proxy operates as a mode of affect that challenges conventional distinctions made between organic and inorganic bodies, agency and actancy, mortality and immortality, presence and absence.

Posted on February 29, 2016 at 6:17 AM • View Comments

Notice and Consent

New Research: Rebecca Lipman, “Online Privacy and the Invisible Market for Our Data.” The paper argues that notice and consent doesn’t work, and suggests how it could be made to work.

Abstract: Consumers constantly enter into blind bargains online. We trade our personal information for free websites and apps, without knowing exactly what will be done with our data. There is nominally a notice and choice regime in place via lengthy privacy policies. However, virtually no one reads them. In this ill-informed environment, companies can gather and exploit as much data as technologically possible, with very few legal boundaries. The consequences for consumers are often far-removed from their actions, or entirely invisible to them. Americans deserve a rigorous notice and choice regime. Such a regime would allow consumers to make informed decisions and regain some measure of control over their personal information. This article explores the problems with the current marketplace for our digital data, and explains how we can make a robust notice and choice regime work for consumers.

Posted on February 26, 2016 at 12:22 PM • View Comments

Voter Surveillance

There hasn’t been that much written about surveillance and big data being used to manipulate voters. In Data and Goliath, I wrote:

Unique harms can arise from the use of surveillance data in politics. Election politics is very much a type of marketing, and politicians are starting to use personalized marketing’s capability to discriminate as a way to track voting patterns and better “sell” a candidate or policy position. Candidates and advocacy groups can create ads and fund-raising appeals targeted to particular categories: people who earn more than $100,000 a year, gun owners, people who have read news articles on one side of a particular issue, unemployed veterans…anything you can think of. They can target outraged ads to one group of people, and thoughtful policy-based ads to another. They can also fine-tune their get-out-the-vote campaigns on Election Day, and more efficiently gerrymander districts between elections. Such use of data will likely have fundamental effects on democracy and voting.

A new research paper looks at the trends:

Abstract: This paper surveys the various voter surveillance practices recently observed in the United States, assesses the extent to which they have been adopted in other democratic countries, and discusses the broad implications for privacy and democracy. Four broad trends are discussed: the move from voter management databases to integrated voter management platforms; the shift from mass-messaging to micro-targeting employing personal data from commercial data brokerage firms; the analysis of social media and the social graph; and the decentralization of data to local campaigns through mobile applications. The de-alignment of the electorate in most Western societies has placed pressures on parties to target voters outside their traditional bases, and to find new, cheaper, and potentially more intrusive, ways to influence their political behavior. This paper builds on previous research to consider the theoretical tensions between concerns for excessive surveillance, and the broad democratic responsibility of parties to mobilize voters and increase political engagement. These issues have been insufficiently studied in the surveillance literature. They are not just confined to the privacy of the individual voter, but relate to broader dynamics in democratic politics.

Posted on November 23, 2015 at 12:03 PM • View Comments

Personal Data Sharing by Mobile Apps

Interesting research:

“Who Knows What About Me? A Survey of Behind the Scenes Personal Data Sharing to Third Parties by Mobile Apps,” by Jinyan Zang, Krysta Dummit, James Graves, Paul Lisker, and Latanya Sweeney.

We tested 110 popular, free Android and iOS apps to look for apps that shared personal, behavioral, and location data with third parties.

73% of Android apps shared personal information such as email address with third parties, and 47% of iOS apps shared geo-coordinates and other location data with third parties.

93% of Android apps tested connected to a mysterious domain, safemovedm.com, likely due to a background process of the Android phone.

We show that a significant proportion of apps share data from user inputs such as personal information or search terms with third parties without Android or iOS requiring a notification to the user.

EDITED TO ADD: News article.

Posted on November 13, 2015 at 6:08 AM • View Comments

Police Want Genetic Data from Corporate Repositories

Both the FBI and local law enforcement are trying to get the genetic data stored at companies like 23andMe.

No surprise, really.

As NYU law professor Erin Murphy told the New Orleans Advocate regarding the Usry case, gathering DNA information is “a series of totally reasonable steps by law enforcement.” If you’re a cop trying to solve a crime, and you have DNA at your disposal, you’re going to want to use it to further your investigation. But the fact that your signing up for 23andMe or Ancestry.com means that you and all of your current and future family members could become genetic criminal suspects is not something most users probably have in mind when trying to find out where their ancestors came from.

Posted on October 22, 2015 at 6:40 AM • View Comments

Automatic Face Recognition and Surveillance

ID checks were a common response to the terrorist attacks of 9/11, but they’ll soon be obsolete. You won’t have to show your ID, because you’ll be identified automatically. A security camera will capture your face, and it’ll be matched with your name and a whole lot of other information besides. Welcome to the world of automatic facial recognition. Those who have access to databases of identified photos will have the power to identify us. Yes, it’ll enable some amazing personalized services; but it’ll also enable whole new levels of surveillance. The underlying technologies are being developed today, and there are currently no rules limiting their use.

Walk into a store, and the salesclerks will know your name. The store’s cameras and computers will have figured out your identity, and looked you up in both their store database and a commercial marketing database they’ve subscribed to. They’ll know your name, salary, interests, what sort of sales pitches you’re most vulnerable to, and how profitable a customer you are. Maybe they’ll have read a profile based on your tweets and know what sort of mood you’re in. Maybe they’ll know your political affiliation or sexual identity, both predictable by your social media activity. And they’re going to engage with you accordingly, perhaps by making sure you’re well taken care of or possibly by trying to make you so uncomfortable that you’ll leave.

Walk by a policeman, and she will know your name, address, criminal record, and with whom you routinely are seen. The potential for discrimination is enormous, especially in low-income communities where people are routinely harassed for things like unpaid parking tickets and other minor violations. And in a country where people are arrested for their political views, the use of this technology quickly turns into a nightmare scenario.

The critical technology here is computer face recognition. Traditionally it has been pretty poor, but it’s slowly improving. A computer is now as good as a person. Already Google’s algorithms can accurately match child and adult photos of the same person, and Facebook has an algorithm that works by recognizing hair style, body shape, and body language ­- and works even when it can’t see faces. And while we humans are pretty much as good at this as we’re ever going to get, computers will continue to improve. Over the next years, they’ll continue to get more accurate, making better matches using even worse photos.

Matching photos with names also requires a database of identified photos, and we have plenty of those too. Driver’s license databases are a gold mine: all shot face forward, in good focus and even light, with accurate identity information attached to each photo. The enormous photo collections of social media and photo archiving sites are another. They contain photos of us from all sorts of angles and in all sorts of lighting conditions, and we helpfully do the identifying step for the companies by tagging ourselves and our friends. Maybe this data will appear on handheld screens. Maybe it’ll be automatically displayed on computer-enhanced glasses. Imagine salesclerks ­—or politicians ­—being able to scan a room and instantly see wealthy customers highlighted in green, or policemen seeing people with criminal records highlighted in red.

Science fiction writers have been exploring this future in both books and movies for decades. Ads followed people from billboard to billboard in the movie Minority Report. In John Scalzi’s recent novel Lock In, characters scan each other like the salesclerks I described above.

This is no longer fiction. High-tech billboards can target ads based on the gender of who’s standing in front of them. In 2011, researchers at Carnegie Mellon pointed a camera at a public area on campus and were able to match live video footage with a public database of tagged photos in real time. Already government and commercial authorities have set up facial recognition systems to identify and monitor people at sporting events, music festivals, and even churches. The Dubai police are working on integrating facial recognition into Google Glass, and more US local police forces are using the technology.

Facebook, Google, Twitter, and other companies with large databases of tagged photos know how valuable their archives are. They see all kinds of services powered by their technologies ­ services they can sell to businesses like the stores you walk into and the governments you might interact with.

Other companies will spring up whose business models depend on capturing our images in public and selling them to whoever has use for them. If you think this is farfetched, consider a related technology that’s already far down that path: license-plate capture.

Today in the US there’s a massive but invisible industry that records the movements of cars around the country. Cameras mounted on cars and tow trucks capture license places along with date/time/location information, and companies use that data to find cars that are scheduled for repossession. One company, Vigilant Solutions, claims to collect 70 million scans in the US every month. The companies that engage in this business routinely share that data with the police, giving the police a steady stream of surveillance information on innocent people that they could not legally collect on their own. And the companies are already looking for other profit streams, selling that surveillance data to anyone else who thinks they have a need for it.

This could easily happen with face recognition. Finding bail jumpers could even be the initial driving force, just as finding cars to repossess was for license plate capture.

Already the FBI has a database of 52 million faces, and describes its integration of facial recognition software with that database as “fully operational.” In 2014, FBI Director James Comey told Congress that the database would not include photos of ordinary citizens, although the FBI’s own documents indicate otherwise. And just last month, we learned that the FBI is looking to buy a system that will collect facial images of anyone an officer stops on the street.

In 2013, Facebook had a quarter of a trillion user photos in its database. There’s currently a class-action lawsuit in Illinois alleging that the company has over a billion “face templates” of people, collected without their knowledge or consent.

Last year, the US Department of Commerce tried to prevail upon industry representatives and privacy organizations to write a voluntary code of conduct for companies using facial recognition technologies. After 16 months of negotiations, all of the consumer-focused privacy organizations pulled out of the process because industry representatives were unable to agree on any limitations on something as basic as nonconsensual facial recognition.

When we talk about surveillance, we tend to concentrate on the problems of data collection: CCTV cameras, tagged photos, purchasing habits, our writings on sites like Facebook and Twitter. We think much less about data analysis. But effective and pervasive surveillance is just as much about analysis. It’s sustained by a combination of cheap and ubiquitous cameras, tagged photo databases, commercial databases of our actions that reveal our habits and personalities, and ­—most of all ­—fast and accurate face recognition software.

Don’t expect to have access to this technology for yourself anytime soon. This is not facial recognition for all. It’s just for those who can either demand or pay for access to the required technologies ­—most importantly, the tagged photo databases. And while we can easily imagine how this might be misused in a totalitarian country, there are dangers in free societies as well. Without meaningful regulation, we’re moving into a world where governments and corporations will be able to identify people both in real time and backwards in time, remotely and in secret, without consent or recourse.

Despite protests from industry, we need to regulate this budding industry. We need limitations on how our images can be collected without our knowledge or consent, and on how they can be used. The technologies aren’t going away, and we can’t uninvent these capabilities. But we can ensure that they’re used ethically and responsibly, and not just as a mechanism to increase police and corporate power over us.

This essay previously appeared on Forbes.com.

EDITED TO ADD: Two articles that say much the same thing.

Posted on October 5, 2015 at 6:11 AM • View Comments

Stealing Fingerprints

The news from the Office of Personnel Management hack keeps getting worse. In addition to the personal records of over 20 million US government employees, we’ve now learned that the hackers stole fingerprint files for 5.6 million of them.

This is fundamentally different from the data thefts we regularly read about in the news, and should give us pause before we entrust our biometric data to large networked databases.

There are three basic kinds of data that can be stolen. The first, and most common, is authentication credentials. These are passwords and other information that allows someone else access into our accounts and—usually—our money. An example would be the 56 million credit card numbers hackers stole from Home Depot in 2014, or the 21.5 million Social Security numbers hackers stole in the OPM breach. The motivation is typically financial. The hackers want to steal money from our bank accounts, process fraudulent credit card charges in our name, or open new lines of credit or apply for tax refunds.

It’s a huge illegal business, but we know how to deal with it when it happens. We detect these hacks as quickly as possible, and update our account credentials as soon as we detect an attack. (We also need to stop treating Social Security numbers as if they were secret.)

The second kind of data stolen is personal information. Examples would be the medical data stolen and exposed when Sony was hacked in 2014, or the very personal data from the infidelity website Ashley Madison stolen and published this year. In these instances, there is no real way to recover after a breach. Once the data is public, or in the hands of an adversary, it’s impossible to make it private again.

This is the main consequence of the OPM data breach. Whoever stole the data—we suspect it was the Chinese—got copies the security-clearance paperwork of all those government employees. This documentation includes the answers to some very personal and embarrassing questions, and now opens these employees up to blackmail and other types of coercion.

Fingerprints are another type of data entirely. They’re used to identify people at crime scenes, but increasingly they’re used as an authentication credential. If you have an iPhone, for example, you probably use your fingerprint to unlock your phone. This type of authentication is increasingly common, replacing a password—something you know—with a biometric: something you are. The problem with biometrics is that they can’t be replaced. So while it’s easy to update your password or get a new credit card number, you can’t get a new finger.

And now, for the rest of their lives, 5.6 million US government employees need to remember that someone, somewhere, has their fingerprints. And we really don’t know the future value of this data. If, in twenty years, we routinely use our fingerprints at ATM machines, that fingerprint database will become very profitable to criminals. If fingerprints start being used on our computers to authorize our access to files and data, that database will become very profitable to spies.

Of course, it’s not that simple. Fingerprint readers employ various technologies to prevent being fooled by fake fingers: detecting temperature, pores, a heartbeat, and so on. But this is an arms race between attackers and defenders, and there are many ways to fool fingerprint readers. When Apple introduced its iPhone fingerprint reader, hackers figured out how to fool it within days, and have continued to fool each new generation of phone readers equally quickly.

Not every use of biometrics requires the biometric data to be stored in a central server somewhere. Apple’s system, for example, only stores the data locally: on your phone. That way there’s no central repository to be hacked. And many systems don’t store the biometric data at all, only a mathematical function of the data that can be used for authentication but can’t be used to reconstruct the actual biometric. Unfortunately, OPM stored copies of actual fingerprints.

Ashley Madison has taught us all the dangers of entrusting our intimate secrets to a company’s computers and networks, because once that data is out there’s no getting it back. All biometric data, whether it be fingerprints, retinal scans, voiceprints, or something else, has that same property. We should be skeptical of any attempts to store this data en masse, whether by governments or by corporations. We need our biometrics for authentication, and we can’t afford to lose them to hackers.

This essay previously appeared on Motherboard.

Posted on October 2, 2015 at 6:35 AM • View Comments

The Security Risks of Third-Party Data

Most of us get to be thoroughly relieved that our e-mails weren’t in the Ashley Madison database. But don’t get too comfortable. Whatever secrets you have, even the ones you don’t think of as secret, are more likely than you think to get dumped on the Internet. It’s not your fault, and there’s largely nothing you can do about it.

Welcome to the age of organizational doxing.

Organizational doxing—stealing data from an organization’s network and indiscriminately dumping it all on the Internet—is an increasingly popular attack against organizations. Because our data is connected to the Internet, and stored in corporate networks, we are all in the potential blast-radius of these attacks. While the risk that any particular bit of data gets published is low, we have to start thinking about what could happen if a larger-scale breach affects us or the people we care about. It’s going to get a lot uglier before security improves.

We don’t know why anonymous hackers broke into the networks of Avid Life Media, then stole and published 37 million—so far—personal records of AshleyMadison.com users. The hackers say it was because of the company’s deceptive practices. They expressed indifference to the “cheating dirtbags” who had signed up for the site. The primary target, the hackers said, was the company itself. That philanderers were exposed, marriages were ruined, and people were driven to suicide was apparently a side effect.

Last November, the North Korean government stole and published gigabytes of corporate e-mail from Sony Pictures. This was part of a much larger doxing—a hack aimed at punishing the company for making a movie parodying the North Korean leader Kim Jong-un. The press focused on Sony’s corporate executives, who had sniped at celebrities and made racist jokes about President Obama. But also buried in those e-mails were loves, losses, confidences, and private conversations of thousands of innocent employees. The press didn’t bother with those e-mails—and we know nothing of any personal tragedies that resulted from their friends’ searches. They, too, were caught in the blast radius of the larger attack.

The Internet is more than a way for us to get information or connect with our friends. It has become a place for us to store our personal information. Our e-mail is in the cloud. So are our address books and calendars, whether we use Google, Apple, Microsoft, or someone else. We store to-do lists on Remember the Milk and keep our jottings on Evernote. Fitbit and Jawbone store our fitness data. Flickr, Facebook, and iCloud are the repositories for our personal photos. Facebook and Twitter store many of our intimate conversations.

It often feels like everyone is collecting our personal information. Smartphone apps collect our location data. Google can draw a surprisingly intimate portrait of what we’re thinking about from our Internet searches. Dating sites (even those less titillating than Ashley Madison), medical-information sites, and travel sites all have detailed portraits of who we are and where we go. Retailers save records of our purchases, and those databases are stored on the Internet. Data brokers have detailed dossiers that can include all of this and more.

Many people don’t think about the security implications of this information existing in the first place. They might be aware that it’s mined for advertising and other marketing purposes. They might even know that the government can get its hands on such data, with different levels of ease depending on the country. But it doesn’t generally occur to people that their personal information might be available to anyone who wants to look.

In reality, all these networks are vulnerable to organizational doxing. Most aren’t any more secure than Ashley Madison or Sony were. We could wake up one morning and find detailed information about our Uber rides, our Amazon purchases, our subscriptions to pornographic websites—anything we do on the Internet—published and available. It’s not likely, but it’s certainly possible.

Right now, you can search the Ashley Madison database for any e-mail address, and read that person’s details. You can search the Sony data dump and read the personal chatter of people who work for the company. Tempting though it may be, there are many reasons not to search for people you know on Ashley Madison. The one I most want to focus on is context. An e-mail address might be in that database for many reasons, not all of them lascivious. But if you find your spouse or your friend in there, you don’t necessarily know the context. It’s the same with the Sony employee e-mails, and the data from whatever company is doxed next. You’ll be able to read the data, but without the full story, it can be hard to judge the meaning of what you’re reading.

Even so, of course people are going to look. Reporters will search for public figures. Individuals will search for people they know. Secrets will be read and passed around. Anguish and embarrassment will result. In some cases, lives will be destroyed.

Privacy isn’t about hiding something. It’s about being able to control how we present ourselves to the world. It’s about maintaining a public face while at the same time being permitted private thoughts and actions. It’s about personal dignity.

Organizational doxing is a powerful attack against organizations, and one that will continue because it’s so effective. And while the network owners and the hackers might be battling it out for their own reasons, sometimes it’s our data that’s the prize. Having information we thought private turn out to be public and searchable is what happens when the hackers win. It’s a result of the information age that hasn’t been fully appreciated, and one that we’re still not prepared to face.

This essay previously appeared on the Atlantic.

Posted on September 9, 2015 at 8:42 AM • View Comments

Sidebar photo of Bruce Schneier by Joe MacInnis.