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Flock Cameras Can Surveil Cars Without License Plates

This is from a 2024 company presentation:

Officers can also tap into data showing a car’s decals, bumper stickers, back and top racks—along with temporary and unique state tags.

Flock calls it a “Vehicle Fingerprint” and it’s touted as a way for law enforcement officials to get more information “even when you don’t have full plate information,” the company’s presentation shows.

The company gives police officers the ability to search that data as well, to “build stronger cases with less information upfront.” That includes being able to locate multiple vehicles law enforcement officials believe are moving together and what Flock calls a “multi geo search.”

This kind of thing is older than AI; I wrote about it in my 2014 book Beyond Fear. Edward Snowden revealed that the NSA was using cell phone location data to track phones that were habitually near each other.

As bad as Flock is, remember that anyone with broad access to cell phone location data can do the same thing.

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Papa Johns Surveillance-Based Advertising

Papa Johns is spying on people’s buying activities to predict when they are low on food:

The pizza chain recently tapped NBCUniversal, Instacart and the dentsu-owned media agency Carat for help reaching consumers when they’re low on groceries—and thus more likely to be swayed by a mouth-watering ad. The idea is to reach hungry consumers by “knowing what is in their fridge without being too creepy,” said Carrie Drinkwater, chief investment officer at Carat.

To achieve that goal, NBCU and Instacart created a custom audience of shoppers who regularly purchase grocery staples on Instacart, such as eggs, milk, meat and produce. Based on that data, Papa Johns can determine which days of the week certain consumers are likely to run out of groceries and serve them an ad on NBCU streaming content accordingly. The brand served custom creatives to consumers based on their food preferences—such as whether they buy meat regularly—with QR codes and calls to action such as, “Light on groceries?” or “Empty fridge?”

Back in 2012, we learned (from Target and its campaign that detects when someone is pregnant) that the trick is to hide the knowledge in other, wrong, information. So the way for Papa John’s to not be “too creepy” is to deliberately get it wrong sometimes.

But still, ugh.

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The Realities of AI Video Surveillance

The Financial Times has a good article on how AI is changing the capabilities of video surveillance, with information from both Israel/Iran and Russia.

I wrote about this sort of thing a few years ago, how AI enables mass spying in the way that computers and networks enabled mass surveillance. The interesting development in the article is that AI allows people to ask natural language questions about video footage to AIs—and AIs can answer them.

In contrast with older tools restricted to a few dozen preset searches, these new tools allow an almost unlimited range of enquiries by enabling language-based searches on video.

That lets intelligence officers hunt through massive streams of videos using simple search terms, such as two men handing a bag to each other; a person who has changed their appearance, or has changed clothes multiple times in a day; or a vehicle that has recently been painted over, or has driven past the same spot several times in a short period.

“This is the holy grail of surveillance,” said a European official whose country uses the technology on its cities. “We are able to look for behaviour, not objects ­ it has created a world of new possibilities.”

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EFFecting Change: LGBTQ+ Solidarity Against the Tide of Surveillance

LGBTQ+ communities are facing an escalating wave of censorship and targeted surveillance, but we can push back through mutual solidarity. Join us live to learn how safer virtual spaces get built, how platform policies and government pressure are reshaping the digital landscape, and what platform accountability actually looks like. Our panel will share ideas for direct action and concrete strategies you can bring back to your community. Whether you’re an activist, an ally, or just paying attention, this conversation is for you. Join the livestream online followed by live Q&A.

EFFecting Change Livestream Series:
LGBTQ+ Solidarity Against the Tide of Surveillance
Wednesday, June 17th
9:00 am - 10:00 am Pacific - Check Local Time
Livestream followed by Q&A

RSVP Today
This event is LIVE and FREE!


About the Speakers

Paige Collings
As a lawyer, digital policy activist and community organizer, Paige works to dismantle systems of oppression and advance collective liberation. Her work focuses on highlighting how state surveillance and corporate restrictions stifle marginalized communities and perpetuate historic injustices and harm. She has worked with activists across the globe to facilitate systemic change by speaking truth to power and creating spaces for alternative imaginations; and her writing on digital justice has been featured in Wired, Politico, Teen Vogue, the Daily Beast and more.

Jillian C. York
Jillian is EFF's Director for International Freedom of Expression, based in London. Her work examines state and corporate censorship and its impact on culture and human rights, with a focus on historically marginalized communities. At EFF, she organizes coalitions, writes about and researches topics related to freedom of expression, leads the Speaking Freely interview series, and contributes to various other areas of the organization's work. Jillian is the author of Silicon Values: The Future of Free Speech Under Surveillance Capitalism (Verso, 2021), a contributor to several academic volumes, and has written for MIT Technology Review, The Guardian, and WIREDamong others. She is also a visiting professor at the College of Europe Natolin in Warsaw, and a regular speaker at global events.

Soatok Dreamseeker
Soatok Dreamseeker is a gay furry security engineer. He blogs about applied cryptography on his blog, Dhole Moments, and is developing key transparency to enable end-to-end encryption on the Fediverse. His puns are 100% whole groan.

Luísa Franco Machado
Luísa Franco Machado is an award-winning international expert in digital rights and data justice. She has also been a technical advisor in data governance and AI ethics for governments, NGOs, and international organizations worldwide, including the UN, OECD.AI, GIZ, and others. Luísa has carried on policy research at the London School of Economics and Political Science (LSE) and Sciences Po Paris on the intersection between technology and socio-economic development. In 2022, the United Nations recognized them as a global Young Leader for the Sustainable Development Goals (SDGs) among more than 6,500 advocates. In 2025 she was featured in Apolitical's Government AI 100 list as a rising star.

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The FCC Wants to Eliminate Burner Phones

A proposed FCC rule would kill burner phones: phones whose accounts are not attached to a particular person.

The FCC plans to do this by legally forcing the country’s telecoms to store a wealth of personal information about essentially all phone customers, including a government issued identification number and their physical address, alarming privacy advocates and civil rights activists who compare the measures to those from authoritarian countries where it can be difficult to buy a mobile phone plan without giving up your identity.

The proposed change would drastically shake up how people obtain phone plans in the U.S., and have all sorts of privacy and cybersecurity knock-on effects. The FCC is proposing the data collection partly as a way to combat scammers, with telecoms being required to collect other information on business and foreign customers like the intended use case of their bulk phone plan purchase and their IP address. But the changes would mean telecoms collect data on all new and renewing customers, and the FCC provides a long list of other things that the collected data could help authorities with.

Alternate link.

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Enhanced License Plate Tracking

The surveillance company Leonardo wants more data:

A surveillance company plans to add sensors to automatic license plate readers (ALPRs) that would mean the devices, as well as capture the license plate of passing vehicles, would also sweep up unique identifiers of mobile phones, wearables, and other Bluetooth-enabled devices in those cars, potentially letting law enforcement identify specific drivers or passengers.

The technology, called SignalTrace, would turn ALPR cameras from devices focused on tracking cars to ones that can more readily track the location of particular people. ALPR cameras have become a commonly deployed technology all across the U.S.; SignalTrace would make some of those cameras capable of collecting much more data.

Yes, it’s bad that more companies are collecting this level of surveillance data. But all of this pales in comparison to the type and quantity of data our smartphones already collect about us.

Alternate link.

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VICTORY: Meta Strips Facial Recognition Code From Smart Glasses App After Public Outcry

Just days after a damning WIRED report exposed that Meta had quietly embedded facial recognition technology (FRT) code into millions of phones, the tech giant has quietly acquiesced in demands to reverse course.

Last week, researchers identified code in Meta AI, a companion app for its line of smart glasses, that could convert images of faces into unique biometric signatures to identify strangers in public. EFF’s Threat Lab verified these findings through static analysis, and reminded consumers to think twice before buying or using Meta’s surveillance glasses. 

Just as quietly as Meta embedded this code, the app’s June 5th app update appears to have quietly removed all those features and systems. Gone is the face-recognition technology, the code meant to trigger “Person recognized” alerts, and the machine learning models and databases  designed to detect, digitize, and store the biometric signatures of people users engage with.

When WIRED broke the news last week, Meta’s executives immediately went on the defensive. Yet, their actions speak louder than their tweets: less than 48 hours after the public caught wind of their plans, Meta quietly launched an update to scrub nearly all traces of the FRT system from their app.

But this quiet deletion of code does not equal a permanent change of heart. Meta previously used face recognition, and stopped only after it faced the legal and financial consequences. Now the company has refused to answer WIRED’s inquiries on whether it plans to bring the NameTag system back in the future, or what they did with any data they may have already collected during internal testing. 

There are billions of reasons not to turn Meta’s customers into a distributed surveillance machine. This whiplash behavior proves exactly why we cannot rely on the "good will" of Big Tech to protect our digital rights. We need robust, enforceable consumer privacy laws, complete with a private right of action that allows everyday people to sue companies that violate their biometric privacy.

While we won this round, Meta's FRT ambitions probably aren't going away. EFF will keep watching.

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Move Fast, Surveil Things

Update, June 8, 2026: Following widespread public scrutiny and WIRED’s critical reporting, Meta has stripped the unactivated facial recognition code from its latest Meta AI app update.

Meta has deployed facial recognition code to millions of their always-on surveillance glasses, according to new reporting by Wired. EFF’s Threat Lab was able to confirm that the facial recognition code is present through static analysis of the application. 

This dangerous new Meta functionality stores faceprints as a series of 2,048 numbers uniquely representing the positioning of a person’s facial features. When this feature is activated, it will convert every new face in the sightlines of the surveillance glasses into a series of numbers, and compare it to all the existing faceprints in the user’s database.

Wired and EFF confirmed that the code is present and active, though not yet exposed to consumers. Another researcher confirmed that when they manually added a face to the app database by connecting the phone to a computer in debug mode and issuing a few commands, the glasses would subsequently detect that face when it came into view. 

Meta has already paid $650 million to settle a BIPA lawsuit challenging mass facial recognition of every photo posted to its platform, a feature which it has since shut down

Despite the billions of reasons not to, Meta seems to have created the capacity to turn their customers into a distributed surveillance machine. This is just one more reason to think twice before buying or using Meta’s surveillance glasses. 

Considering that Meta previously wrote in an internal document that they want to launch facial recognition “during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns," this invasive new feature doesn't come as a surprise. But Meta's surveillance plans won't escape public scrutiny that easily, and we'll be watching if this feature is rolled out to the public. 

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Chilling Effects

Younger Americans have soured on the second Donald Trump presidency, but they are not protesting it.

Despite an unpopular Iran war and an even more unpopular Trump administration, college campus protests nationwide have gone silent. And at many schools, student activism is virtually nonexistent.

This silence comes in the wake of a relentless Trump administration war on campus speech that has involved lawsuits, arrests, deportations and expulsions.

Reports cite a range of complicated factors for the restraint, from apathy to technology-induced incapacity. But as public policy and law and social science experts, we believe students aren’t protesting for a very simple reason: They are afraid. They are self-censoring and disengaging from campaign activism to avoid punitive measures.

In law and social science, we call this impact a chilling effect—the behavioral tendency for people in face of a threat to self-censor and restrain their activities for self-protection.

It’s increasingly clear to us that these impacts are not incidental or ancillary to Trump administration policy. Rather, the chilling effects are the point. This is the closest thing to a consistent governing strategy in Trump’s second term.

The broader chill of Trump threats

Chilling effects can be subtle, but today they are everywhere. And it’s not just students who are chilled by Trump administration threats.

Professors are censoring themselves in lectures and rewriting syllabuses. Researchers are stripping grant applications of words that might attract federal scrutiny, or abandoning the topics entirely. Media outlets are modifying their news coverage to avoid Trump lawsuits or sanctions.

Law enforcement and regulatory agencies are refusing to investigate Trump-aligned actors inside or outside government, and major national law firms are declining cases challenging Trump administration policies.

Publishers are “stepping back” from LGBTQ+ books and other progressive subjects. Many in targeted immigrant communities are afraid to leave home to go to work or school.

In most cases, these people and institutions are not being specifically targeted or threatened by Trump. But they are afraid, and their fear is doing the administration’s work for it. They stay silent, avoid attention and confrontation, and look the other way. In other cases, they change their speech and behavior to accommodate or conform to the administration’s worldview.

Of course, there are counterexamples, such as the winter protests in Minneapolis in response to brutality by agents with U.S. Immigration and Customs Enforcement, and the recent “No Kings” rallies. But even here, the broader but less visible trend—chilling effects—is evident.

For instance, in recent reporting on the latest No Kings rallies, many media outlets observed that students were noticeably missing, despite the Trump administration’s unpopularity among younger Americans.

A persistent strategy

We believe none of this is by accident.

In a new book, “Chilling Effects: Repression, Conformity, and Power in the Digital Age,” one of us—Jon Penney—explains how law, technology, and state and corporate power are weaponized to chill and repress, and the dangers this poses for the United States and other democratic societies. The other—Bruce Schneier—has extensively studied the security infrastructure enabling this.

What we see isn’t gratuitous government cruelty, chaos or vengeance. Instead, we see a persistent strategy to maximize fear and chilling effects in ways that are corrosive to freedom and democracy.

Research suggests that surveillance, personal threats, uncertainty and abuse of power are key factors in doing so. The federal government has a clear and systematic pattern of employing these very mechanisms across a number of domains far beyond campuses.

They are evident in militarized raids by Immigration and Customs Enforcement and in journalists being arrested and indicted for reporting on protests. They are made clear in the long list of political enemies the Trump administration has investigated or threatened, including the Federal Reserve chairman. And they can also be seen in the weaponization of technology, including ramping up surveillance to target critics and protestors.

Corrosive to freedom and democracy

History offers some guidance on impacts.

During the McCarthy era, overreaching laws, surveillance, and public and private sector reprisals ostensibly targeted alleged communists. But the real aim was often to suppress progressive journalists, trade unions and political opposition.

In the 1960s, these same tactics were reused by Southern states to chill the Civil Rights Movement. Historians have written about how the widespread fear and conformity of these periods reshaped American society in enduring ways, including the destruction of progressive political movements and both delaying and muting the Civil Rights Movement itself.

When such state threats are systematized, they can foment a broader climate of fear, self-censorship and conformity. In that climate, dissenting speech, political opposition, democratic mobilization and other checks on power become increasingly difficult, even dangerous. It is no surprise, for instance, that Trump critics regularly admit to self-censorship, fearing for their safety.

Chilling effects are thus not only repressive—causing self-censorship—but productive. They produce conforming and compliant speech and behavior, which can have longer-term social impacts. They not only undermine protected rights and suppress accountability but can promote social change—even without a popular mandate to do so.

This latter point is often missed. It explains Trump’s assaults on universities and cultural institutions such as the Kennedy Center for the Arts and the Smithsonian. Often dismissed as peculiar Trump obsessions, they are fully consistent with Project 2025—the sweeping policy blueprint for Trump’s second term authored by a coalition of conservative groups and its call to target the “institutions of American civil society” and “wield federal power” to “reverse” decades of progressive cultural advancements.

In the near term, this means an increasingly weakened democratic society, with the government and its patrons enjoying freedom to pursue their objectives. Over the long term, this can mean a changed society as more conformist and compliant speech and culture become more widely accepted and entrenched.

Not inevitable

In our view, this future is not inevitable, just as the McCarthy era “Red Scare” and violent civil rights era repression were not. In both cases, fear and chilling effects were resisted in law and civil society, as they can be today.

But the central mechanisms—surveillance, uncertainty, personal threats and abuse of power—would need to be addressed. For instance, new legislation could ensure justice for lawless government actors and constrain surveillance. Courts can block abuses of federal power, including illegal arrests, detentions and mass citizen databases.

The media, lawyers and civil society can hold the government accountable. And students, teachers, universities and cultural institutions can resist the tendency to self-censor and conform.

The citizen mobilization in Minnesota and the No Kings rallies are examples of that. But to resist chilling effects and their dangers over the long term, this would have to be the norm, not the exception.

This essay was written with Jon Penney, and originally appeared in The Conversation.

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More License Plate Reader Mission Creep: School Residency Verification, Background Checks, and Noise Complaints

An EFF analysis of millions of searches of Flock Safety automated license plate reader (ALPR) data by police has uncovered a troubling pattern: in the absence of a warrant requirement to search ALPR databases, law enforcement agencies have moved beyond specific investigations to use these surveillance networks for virtually any whim.

Our findings suggest that the absence of a warrant requirement has fostered a culture of unrestricted access to sensitive location data, allowing agencies to leverage that data beyond the scope of specific criminal investigations.

As a refresher: Law enforcement agencies lease or purchase camera systems from Flock Safety and then mount them by the side of the road and at intersections to document every vehicle that passes, including the plate, make, model, color and distinguishing characteristics, along with the date, time and location of where it was seen. 

Law enforcement's talking points—often scripted by the company itself—trumpet their role in solving high-stakes crimes. But the data reveals a different story. What they're not saying is that ALPRs are also frequently used for extremely low-level investigations, such as verifying whether a student lives within a particular school zone. In some cases, police have even used this tech to conduct employment background checks and investigations into loud music complaints. Recently, a motorcyclist was even targeted for simply holding a cell phone while riding.

The reach of this ALPR surveillance is amplified by the nature of the indiscriminate sharing these technologies encourage. Most agencies choose to share broadly, often as part of a nationwide pool, making it common for a single city's system to be searched hundreds of thousands of times each month. By analyzing these "network audit logs," privacy advocates and journalists have uncovered evidence of the technology being used to surveil protesters, abortion-seekers, immigrants, and even ethnic Roma populations

While these high-profile abuses are shocking, the more mundane uses are also problematic, signaling a massive, unchecked mission creep that has turned an alleged “crime-fighting” tool into a universal tracker of everyone’s movements. 

Residency Checks

School systems in the U.S. conduct "residency verification" investigations of their parents or guardians to ensure enrolled children live in the district. To carry out these checks, some school districts have enlisted law enforcement officers for help, leveraging ALPR databases to track the comings and goings of families across the region. 

Buford City Schools in Georgia, which serves only about 6,000 students, illustrates the scale of this prying. Between January 2025 and March 2026, school police ran more than 375 searches where officers listed school residency verification, or simply "RV," as the reason for the search. That accounts for more than half of all ALPR searches in that period, and in those three months of 2026, three-quarters of all searches were related to residency verification. 

School officials stand by the searches. "[B]ecause Buford City Schools is a highly sought-after district, we experience ongoing challenges with residency fraud," a spokesperson told Appen Media, which shared the email with EFF. "Flock Safety is one of the tools we use to verify residency and protect the integrity of the Buford City School System for families who live within the district."

A search of ALPR data will show a lot more than whether a family lives within the right zone. In these Buford cases, officers ran some searches across more than 5,800 different networks nationwide. Every time a plate is searched, it can reveal personal information about a family: when they go to the doctor, when they go to worship, when they go out at night, and where they travel on vacation. None of that is the school district's business, and these searches are a huge invasion of privacy. 

While Buford was by the far the most prolific, it wasn't the only agency to run school residency checks. For example, Delhi Township Police Department (DTPD) in Ohio ran 35 searches related to students in five schools in a three-month period during spring 2025, and similarly stood by the practice, citing a warning given to parents that submitting a false statement of residency may be a felony. 

After EFF sent an inquiry to DTPD, the agency conducted a brief investigation and found that "these searches were not done to verify residency upon submission, but to investigate cases where it was believed the form was filled out with false information." DTPD did not say what kind of evidence was required to establish suspicion before an ALPR query, nor did it offer information on how many of these investigations turned out to be justified. 

However, the official told EFF: "in response to your inquiry, the department will be implementing a change to how these queries are documented in the Flock system and internally, to increase accountability and help avoid any confusion moving forward."

Other agencies that ran school residency searches include Cortland Police Department in Ohio and Lincoln Police Department in Alabama. Several agencies also ran searches with "residency," "residency investigation" or "residency verification" as the reason, but that could refer to a number of public services. These agencies include Ridgeland Police Department in Mississippi, Fairfield County Sheriff's Office in South Carolina, Manteno Police Department in Illinois, Illinois Department of Natural Resources, and Mora County Sheriff's Office in New Mexico. 

Background Checks

Few people would imagine that applying for a government job would open you up to an ALPR search. Yet, several law enforcement agencies ran searches through the Flock network related to employment. 

For example:

  • Jefferson County Sheriff's Office in Missouri ran six searches across 2,853 networks, documenting "employment" in the reason field.
  • Little Elm Police Department in Texas ran 10 searches across 6,306 networks, documenting "EMPLOYMENT" in the reason field.
  • Ridgeland Police Department in Mississippi ran two searches across more than 6,000 networks documenting "employment background inv" in the reason field.
  • Texas City Police Department, Texas ran three searches across 728 networks, documenting "pre employment background" in the reason field. 
  • Zion Police Department in Illinois ran a research across 585 networks documenting "Employee Background" in the reason field. 

Davidson Police Department in North Carolina logged a search listed as "Employment Background," but in response to an inquiry from EFF, the chief described this as "poor choice of words by our investigator." He further stated that the agency does not use ALPRs as part of employment background checks, but in this case, the agency shared that a potential violation of a protective order came to light during a background check, hence the reference to it in the search log.

In addition to the agencies mentioned, several agencies ran searches that simply referred to "background check" or "background checks," which could be related to employment or perhaps some other issue, such as a concealed weapons permit, for example. These include Avon Police Department in Indiana, Rockford Police Department in Illinois, San Bernardino County Sheriff's Office in California, and Seaford Police Department in Delaware.

Noise Complaints

Many people have probably been irritated at some point or another by a car blasting a deep bassline or even the infamous "whistle tip." Some may have even called the cops to complain about a neighbor’s house party. But that's a far cry from the types of serious crimes that Flock and its customers have claimed that the ALPR systems would be used to solve. 

Yet, EFF identified 26 agencies where officers felt it was appropriate to pry into a driver's life because of a noise complaint, ranging from house parties to loud exhausts to just "music": 

A table of agencies and their searches that relate to noise complaints.

Some of these agencies searched upwards of 6,500 networks’ cameras—the equivalent of launching a nationwide goose chase over a booming subwoofer or a busted muffler. 

When Mission Creep Is Just Plain Creepy

An observant reader of this report may have noticed that Ridgeland Police Department in Mississippi ran searches in all three of the categories we reported above.

However, after the city first installed the Flock Safety cameras, the then-police chief told the press that the technology helps solve cases that range from "theft to crimes of violence"—without disclosing that the range would extend much further.

When police and salespeople trot out cherry-picked cases to argue that a mass surveillance technology is an "important" tool,  they obfuscate that it's a convenient shortcut around due process. For serious crimes, police can already go through the standard legal process: making the case to a judge on why they should get a search warrant for location data, whether it's from cell phones or service providers. But police treat ALPR databases as if no such threshold exists, giving them free rein to track a person’s movements without a sliver of judicial oversight.

When police and salespeople trot out cherry-picked cases to argue that a mass surveillance technology is an "important" tool,  they obfuscate that it's a convenient shortcut around due process.

"This is the same as if I put a police officer on the side of the road with a pen and a notepad and he writes down every license plate number that drives by,” the former chief said, repeating a commonly circulated talking point. 

That rhetoric may sound reasonable if we were just talking about a single camera on a street corner, but Ridgeland now operates more than 50 cameras—the equivalent of one for every 500 residents—and maintains access to tens of thousands more. 

If the chief had stood in front of the city’s aldermen and asked for permission to search more than 20,000 cameras so his officers could investigate the high crime of "music," it’s quite unlikely that they would have been nodding their heads along. 

Ridgeland Police Department did not respond to EFF’s requests for comment.

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Digital Hopes, Real Power: How the Arab Spring Fueled a Global Surveillance Boom

This is the third installment of a blog series reflecting on the global digital legacy of the 2011 Arab uprisings. You can read the first post here, and the second here.

When people recall the 2011 uprisings across the Middle East and North Africa (MENA), they often picture crowded squares, raised phones, and the feeling that the internet had finally shifted the balance of power toward ordinary people. But the past decade and a half is also a story about how governments, companies, and platforms turned those same tools into the backbone of a powerful state surveillance apparatus.

For activists, journalists, everyday users, that means now living with a constant threat. The phone in your pocket, the platforms you organize on, and the systems you rely on for safety and connection can be weaponized at the flip of a switch. A global surveillance industry has treated repression by many MENA governments as a growth opportunity, and the tactics refined there now shape digital authoritarianism worldwide. This essay traces how that shift unfolded: security agencies upgraded older systems of repression with new surveillance tools and permanent monitoring infrastructure; cybercrime laws and mercenary spyware markets turned digital control into standard operating procedure; and biometrics, facial recognition, and ‘smart city’ projects laid the groundwork for AI‑driven surveillance that now shapes protests, borders, and everyday life far beyond the region. 

Remembering the Arab Spring means seeing the events of 2011 as both a remarkable moment of movement history when people leveraged networked tools in their fight for freedom and the beginning of a long, grinding effort to turn those same tools into mechanisms of state control.

Old‑School Repression, New‑School Tools

Long before Facebook and Twitter, regimes in countries like Egypt and Syria already knew how to crush dissent. They leaned on informant networks, physical surveillance, and wiretaps, backed by emergency laws that let security agencies monitor and detain critics with almost no restraint. Research on the use of surveillance technology in MENA shows that, even before the Arab Spring, states were layering early digital tools like internet monitoring, deep packet inspection, and interception centers on top of that older machinery of control.

At the same time, connectivity was racing ahead. Cheap smartphones and social media suddenly let people share information at scale, coordinate protests, and broadcast abuses in real time. In 2011, EFF described both the excitement around “Facebook revolutions” and the early signs that governments were scrambling to upgrade their capacity to watch and disorganize popular dissent.

After the uprisings, Western critics endlessly debated how much credit to give social media itself. While in the background, security agencies across several MENA states reached a much simpler conclusion: if networked communication can help topple a dictator, then they needed to embed themselves deep inside those networks. Analyses of the rise of digital authoritarianism in MENA show how quickly officials pivoted from being surprised by online organizing to building systems to monitor and pre‑empt it.

In the years after 2011, governments across the region poured money into tools that let them systematically watch what people said and did on major platforms. Foreign vendors set up monitoring centers and interception systems that let security agencies block tens of thousands of sites, scrape and analyze social media at scale, monitor activist pages and online communities, and track activists in real time. They built a new, pre‑emptive model of digital control, one that assumes the state should see as much as possible, as early as possible.

As we noted in 2011, exporting permanent surveillance infrastructure to already‑abusive governments doesn’t “modernize” public safety; it locks in an architecture of control that is primed to abuse dissidents, journalists, and marginalized communities.

Domestic Lawfare and Cyber-Mercenaries

After the uprisings, a number of governments also rewrote the rules that govern online life. Cybercrime laws, “fake news” provisions, and overbroad public‑order and ‘morality’ offences gave prosecutors and security agencies legal cover to act with impunity. Governments in Saudi Arabia, Tunisia, Jordan, and Egypt combined counterterrorism, cybercrime, defamation, and protest laws into a legal thicket designed to make online dissent feel dangerous and costly. Morality laws and cybercrime provisions are used to target queer and trans people based on identity and expression.​

At the United Nations, a new global cybercrime convention now risks baking this logic into international law. The convention was adopted by the UN General Assembly in late 2024, despite serious human rights concerns raised by civil society. Echoing our partners, EFF warned at the time that the UN cybercrime draft convention remained too flawed to adopt and urged states to reject the draft language because it legitimized expansive surveillance powers and criminalized legitimate expression, security research, and everyday digital practices around the world. While on paper, these instruments gesture to “public safety” objectives, in practice they function as pathways for state security agencies to monitor, prosecute, and silence the communities most at risk. For state-targeted communities, that makes being visible online a calculated risk, not a neutral choice.​​

Criminal codes are only half the story; mercenary tech is the other. As governments worldwide looked for ways to outpace their critics, a parallel market emerged to help them infiltrate and take over devices. Companies like NSO Group marketed Pegasus and similar tools as off‑the‑shelf capabilities for governments that wanted to hack a target’s cellphones or other devices to read messages, turn on microphones, and monitor entire social networks while bypassing the courts. 

In 2019, UN Special Rapporteur David Kaye called for a global moratorium on the sale and transfer of private surveillance tools until real, enforceable safeguards exist. Two years later, forensic work by Amnesty and media partners showed how the same spyware used to hack phones of Palestinian human‑rights defenders was used to surveil journalists, activists, lawyers, and political opponents across dozens of countries

Regional groups responded by demanding an end to the sale of surveillance technology to autocratic governments and security agencies, arguing that you cannot keep selling “lawful intercept” tools into systems where law itself is an instrument of repression. Commercial spyware is at the center of digital repression, not at its margins. Surveillance vendors are not neutral suppliers. Safeguards remain weak, fragmented, or nonexistent in most of the countries buying these tools, yet vendors continue seeking new contracts and new militarized “use cases.” Put bluntly, the companies that design, market, and maintain these systems precisely because they enable this kind of control profit from (and help entrench) authoritarian power.

Biometrics, Facial Recognition, and AI‑Powered Surveillance Cities

On top of this rapidly intensifying interception and spyware stack, governments and companies began layering biometrics and face recognition into everyday systems, creating pathways for bulk data collection, automated analysis, and risk profiling. In parts of MENA, national ID schemes, border and migration controls, and centralized biometric databases have been rolled out in environments with weak or captured data‑protection laws, making it easy to link people’s movements, services, and political activity to a single, persistent identifier.​

Humanitarian programs are not exempt from this protocol. In Jordan, Syrian refugees have been required to submit iris scans and biometric data to access cash assistance and food, turning “consent” into a precondition for survival. When access to aid depends on enrollment in centralized biometric systems, any breach, misuse, or repurposing of that data can have severe, life‑altering consequences for people who have no realistic way to opt out. Investigations into surveillance‑tech firms complicit in abuses in MENA show that vendors profit from supplying biometric and surveillance tools for migration management and internal security, even when those tools are used in discriminatory or abusive ways.​

Like elsewhere, mass surveillance technologies in MENA were first piloted on people who were already criminalized or made vulnerable by poverty. But their use quickly expanded from narrow, security‑framed deployments to routine use in city streets. As hardware sensors, cameras, and data storage got cheaper, “smart city” surveillance systems promised seamless security and services, and it became easier and less politically contentious to keep these systems running everywhere, all the time.​

Unlike targeted hacking tools, these broad, city‑wide surveillance infrastructures erase any practical line between people under investigation and the broad public, normalizing bulk, indiscriminate monitoring of public space and everyday movement. In the Gulf, facial recognition and dense sensor networks are increasingly built into high‑profile “smart city” and mega‑project plans that lean heavily on biometric and AI‑driven monitoring. These are security‑first development projects where biometric and sensor infrastructures are designed from the outset to embed policing, migration control, and commercial tracking into the urban fabric. In this vision of the Gulf’s “smart city” future—often sold as seamless services and digital opportunity—“smart” is the branding, and pervasive monitoring is the operating principle.​​

EFF has consistently opposed government use of face recognition and biometric surveillance, in some instances calling for outright bans. In contexts that treat peaceful dissent as a security threat, embedding biometric surveillance into everyday infrastructure locks in a balance of power that favors militarized policing and state control. That infrastructure is now the starting point for a new set of risks. Surveillance systems built over the last decade are being repackaged as the foundation for a new generation of “AI‑enabled” defense and security products. 

Companies that once focused on video management or perimeter security now advertise “defense applications” for AI‑driven situational awareness and threat detection, using computer‑vision models to scan camera feeds, compare against existing watchlists, and flag “suspicious” people or behaviors in real time. Drone and sensor platforms are being upgraded with embedded AI that tracks and classifies targets autonomously and with “drone‑based AI threat detection and intelligent situational awareness,” turning aerial surveillance into a continuous data feed for security agencies and militaries. In smart‑city and defense expos from the Gulf to Europe and North America, similar systems are marketed as neutral efficiency upgrades or tools to “protect critical infrastructure,” even where they are explicitly designed to scale up border enforcement, protest surveillance, and internal security operations.

As these systems are folded into AI‑driven defense products, the line between “civilian” infrastructure and militarized surveillance disappears, turning streets, borders, and aid sites into continuous input for security operations. That is the landscape that human rights and accountability efforts now have to confront.

Templates of Control, Networks of Resistance

The patterns established in heavily securitized MENA states after the Arab Spring now shape how states monitor and crush more recent uprisings, from Iran’s use of location data and facial recognition to track down protesters to long‑running crackdowns elsewhere in the region. This model of “digital authoritarianism” built on spyware, data‑hungry ID systems, platform control, and emergency‑style security laws has emerged everywhere from Latin America to Eastern Europe to here in the United States. As the new UN Cybercrime Convention moves toward implementation, its broad offences and surveillance powers risk turning this ad hoc toolkit into a formal template for cross‑border data‑sharing, repression, and an all‑purpose global surveillance instrument.

For people on the ground, none of this is theoretical. Human‑rights defenders, journalists, and ordinary users across the region face arrest, long prison sentences, and exile based on their digital traces. In that context, commercial spyware is not a marginal issue but part of the core machinery of repression. Pegasus has been used to hack journalists’ phones through zero‑click exploits and compromise human‑rights defenders and watchdog organizations themselves, including staff at Amnesty’s Pegasus Project partners and Human Rights Watch. These deployments give practical effect to the “cybercrime” and “terrorism” frameworks described earlier: person‑by‑person campaigns against particular communities, contacts, and networks, rather than “neutral,” generalized security measures.

Under these conditions, everyday security becomes a second job. People describe carrying multiple phones, keeping one for relatively “clean” uses and others for riskier conversations, splitting identities across platforms, using coded language, and moving their organizing off mainstream services when possible. Pushing this burden onto users is a political choice: states, platforms, and vendors could build systems that are safe by design; instead, they externalize risk to the people they watch and punish.

Even against that backdrop, civil society organizations have refused to capitulate to security agencies and vendors. Regional coalitions have demanded strict export controls and outright bans on selling intrusive surveillance tech to autocratic governments. Advocates have also pushed companies to do more than box‑ticking “due diligence.” Work with surveillance‑tech firms in the context of migration and border control has repeatedly shown that most are still far from serious human‑rights assessments, let alone willing to turn down these lucrative contracts.

Many of the same governments that have been critical of others on the issue of human rights have hosted or licensed companies that build these tools, in some cases buying similar capabilities for their own security agencies. European authorities, for instance, have investigated FinFisher’s export of spyware “made in Germany” to Turkey and other non‑EU governments. Meanwhile, the NSO Group has at least 22 Pegasus contracts with security and law‑enforcement agencies in 12 EU countries. This is a transnational industry, not a localized problem.

Against near impossible odds, people continue finding pathways to freedom. The global surveillance sector reinforces the same hierarchies and violence that people have found ways to survive for generations. Queer activists and others at the sharpest edges of this system have had to develop their own forms of resistance, including against biometric and data‑driven targeting. Encryption, circumvention tools, and security training are not silver bullets, but they remain essential for anyone trying to organize, document abuses, or simply exist online with a bit less risk. Resources like EFF’s Surveillance Self‑Defense are one piece of that ecosystem, alongside trainers and groups who have been doing this work on the ground for years.​

Defending the Future of Digital Dissent

The Arab Spring is often remembered through images of packed squares and hopeful tweets. But contending with its aftermath means confronting the surveillance architecture built in its shadow: laws that turn online speech into a crime, spyware and biometric systems that turn phones and faces into tracking beacons, and platform practices that routinely sacrifice the people most at risk. None of that is inevitable, and none of it is confined to one part of the world.

Accountability has to reach both governments and the companies that profit from arming them with these tools. That means pushing for far stronger limits on how surveillance tech is built, sold, and deployed; demanding meaningful transparency when these systems are used; and defending the tools people rely on to communicate and organize safely, including robust encryption and secure channels. It also means taking direction from the people and communities who have been navigating and resisting this landscape for years.

Surveillance itself is transnational: tools, playbooks, and data moves across borders as easily as money. And so we, too, continue our work, documenting abuses, sharing security knowledge, and collectively organizing against these violent systems.

This is the third installment of a blog series reflecting on the global digital legacy of the 2011 Arab uprisings. Read the rest of the series here.

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Traffic Violation! License Plate Reader Mission Creep Is Already Here

A new report from 404 Media sheds light on how automated license plate readers (ALPRs) could be used beyond the press releases and glossy marketing materials put out by law enforcement agencies and ALPR vendors. In December 2025, Georgia State Patrol ticketed a motorcyclist for holding a cell phone in his hand. According to the report, the ticket read, “CAPTURED ON FLOCK CAMERA 31 MM 1 HOLDING PHONE IN LEFT HAND.” 

If you’re thinking that this sounds outside of the scope of what ALPRs are supposed to do, you’re right. In November 2025, Flock Safety, the maker of the ALPR in question, wrote a post about how they definitely are in compliance with the Fourth Amendment to the U.S. Constitution. In this post, which highlighted what ALPRs are and what they are not, the company writes: “What it is not: Flock ALPR does not perform facial recognition, does not store biometrics, cannot be queried to find people, and is not used to enforce traffic violations.” (emphasis added)

Well, apparently their customers never got the memo and apparently the technology’s design does not explicitly prevent behavior the company officially and publicly disavows. 

Or at least this used to be the case: Flock now lists six different companies providing traffic enforcement technology on its “Partner program”  site. Public records also show that speed enforcement cameras have been connected to Flock's ALPR network. 

EFF and other privacy advocates have long warned about mission creep when it comes to surveillance infrastructure. Police often swear that a piece of technology will only be used in a particular set of circumstances or to fight only the most serious crimes only to utilize it to fight petty crimes or watch protests.  

We continue to urge cities, states, and even companies to end their relationship with Flock Safety because of the incompatibility between the mass surveillance it enables and its inability to protect civil liberties—including preventing mission creep.

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Predator spyware disables iOS camera and microphone indicators | Kaspersky official blog

Cybersecurity researchers have taken a close look at the inner workings of the Predator spyware, developed by the Cyprus-based company Intellexa. Rather than focusing on how the spyware initially infects a device, this latest research zooms in on how the malware behaves once a device has already been compromised.

The most fascinating discovery involves the mechanisms the Trojan uses to hide iOS camera and microphone indicators. By doing so, it can covertly spy on the infected user. In today’s post, we break down what Predator spyware actually is, how the iOS indicator system is designed to work, and how this malware manages to disable these indicators.

What Predator is, how it works, and what… Alien has to do with it

We previously took a deep dive into the most notorious commercial spyware out there in a dedicated feature — where we discussed the star of today’s post, Predator, among the others. You can check out that earlier post for a detailed review of this spyware, but for now, here’s a quick refresher on the essentials.

Predator was originally developed by a North Macedonian company named Cytrox. It was later acquired by the aforementioned Intellexa, a Cyprus-registered firm owned by a former Israeli intelligence officer — a truly international spy games collaboration.

Strictly speaking, Predator is the second half of a spyware duo designed to monitor iOS and Android users. The first component is named Alien; it’s responsible for compromising a device and installing Predator. As you might’ve guessed, these pieces of malware are named after the famous Alien vs. Predator franchise.

An attack using Intellexa’s software typically begins with a message containing a malicious link. When the victim clicks it, they’re directed to a site that leverages a chain of browser and OS vulnerabilities to infect the device. To keep things looking normal and avoid raising suspicion, the user is then redirected to a legitimate website.

Besides Alien, Intellexa offers several other delivery vehicles for landing Predator on a target’s device. These include the Mars and Jupiter systems, which are installed on the service provider’s side to infect devices through a man-in-the-middle attack.

Predator spyware for iOS comes packed with a wide array of surveillance tools. Most notably, it can record and transmit data from the device’s camera and microphone. Naturally, to keep the user from catching on to this suspicious activity, the system’s built-in recording indicators — the green and orange dots at the top of the screen — must be disabled. While it’s been known for some time that Predator could somehow hide these alerts, it’s only thanks to this research that we know how exactly it pulls it off.

How the iOS camera and microphone indicator system works

To understand how Predator disables these indicators, we first need to look at how iOS handles them. Since the release of iOS 14 in 2020, Apple devices have alerted users whenever the microphone or camera is active by displaying an orange or green dot at the top of the screen. If both are running simultaneously, only the green dot is shown.

Microphone usage indicator in iOS

In iOS 14 and later, an orange dot appears at the top of the screen when the microphone is in use. Source

Just like other iOS user interface elements, recording indicators are managed by a process called SpringBoard, which is responsible for the device’s system-wide UI. When an app starts using the camera or microphone, the system registers the change in that specific module’s state. This activity data is then gathered by an internal system component, which passes the information to SpringBoard for processing. Once SpringBoard receives word that the camera or microphone is active, it toggles the green or orange dot on or off based on that data.

Camera usage indicator in iOS

If the camera is in use (or both the camera and microphone are), a green dot appears. Source

From an app’s perspective, the process works like this: first, the app requests permission to access the camera or microphone through the standard iOS permission mechanism. When the app actually needs to use one or both of these modules, it calls the iOS system API. If the user has granted permission, iOS activates the requested module and automatically updates the status indicator. These indicators are strictly controlled by the operating system; third-party apps have no direct access to them.

How Predator interferes with the iOS camera and microphone indicators

Cybersecurity researchers analyzed a captured version of Predator and uncovered traces of multiple techniques used by the spyware’s creators to bypass built-in iOS mechanisms and disable recording indicators.

In the first approach — which appears to have been used during early development — the malware attempted to interfere with the indicators at the display stage right after SpringBoard received word that the camera or microphone was active. However, this method was likely deemed too complex and unreliable by the developers. As a result, this specific function remains in the Trojan as dead code — it’s never actually executed.

Ultimately, Predator settled on a simpler, more effective method that operates at the very level where the system receives data about the camera or microphone being turned on. To do this, Predator intercepts the communication between SpringBoard and the specific component responsible for collecting activity data from these modules.

By exploiting the specific characteristics of Objective-C — the programming language used to write the SpringBoard application — the malware completely blocks the signals indicating that the camera or microphone has been activated. As a result, SpringBoard never receives the signal that the module’s status has changed, so it never triggers the recording indicators.

How to lower your risk of spyware infection

Predator-grade spyware is quite expensive, and typically reserved for high-stakes industrial or state-sponsored espionage. On one hand, this means defending against such a high-tier threat is difficult — and achieving 100% protection is likely impossible. On the other hand, for these same reasons, the average user is statistically unlikely to be targeted.

However, if you’ve reason to believe you’re at risk from Predator or Pegasus-class spyware, here are a few steps you can take to make an attacker’s job much harder:

  • Don’t click suspicious links from unknown senders.
  • Regularly update your operating system, browsers, and messaging apps.
  • Reboot your device occasionally. A simple restart can often help “lose the tail”, forcing attackers to reinfect the device from scratch.
  • Install a reliable security solution on all the devices you use.

For a deeper dive into staying safe, check out security expert Costin Raiu’s post: Staying safe from Pegasus, Chrysaor and other APT mobile malware.

Curious about other ways your smartphone might be used to spy on you? Check out our related posts:

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Victory! Tenth Circuit Finds Fourth Amendment Doesn’t Support Broad Search of Protesters’ Devices and Digital Data

In a big win for protesters’ rights, the U.S. Court of Appeals for the Tenth Circuit overturned a lower court’s dismissal of a challenge to sweeping warrants to search a protester’s devices and digital data and a nonprofit’s social media data.

The case, Armendariz v. City of Colorado Springs, arose after a housing protest in 2021, during which Colorado Springs police arrested protesters for obstructing a roadway. After the demonstration, police also obtained warrants to seize and search through the devices and data of Jacqueline Armendariz Unzueta, who they claimed threw a bike at them during the protest. The warrants included a search through all of her photos, videos, emails, text messages, and location data over a two-month period, as well as a time-unlimited search for 26 keywords, including words as broad as “bike,” “assault,” “celebration,” and “right,” that allowed police to comb through years of Armendariz’s private and sensitive data—all supposedly to look for evidence related to the alleged simple assault. Police further obtained a warrant to search the Facebook page of the Chinook Center, the organization that spearheaded the protest, despite the Chinook Center never having been accused of a crime.

The district court dismissed the civil rights lawsuit brought by Armendariz and the Chinook Center, holding that the searches were justified and that, in any case, the officers were entitled to qualified immunity. The plaintiffs, represented by the ACLU of Colorado, appealed. EFF—joined by the Center for Democracy and Technology, the Electronic Privacy Information Center, and the Knight First Amendment Institute at Columbia University—wrote an amicus brief in support of that appeal.

In a 2-1 opinion, the Tenth Circuit reversed the district court’s dismissal of the lawsuit’s Fourth Amendment search and seizure claims. The court painstakingly picked apart each of the three warrants and found them to be overbroad and lacking in particularity as to the scope and duration of the searches. The court further held that in furnishing such facially deficient warrants, the officers violated “clearly established” law and thus were not entitled to qualified immunity. Although the court did not explicitly address the First Amendment concerns raised by the lawsuit, it did note the backdrop against how these searches were carried out, including animus by Colorado Springs police leading up to the housing protest.

It is rare for appellate courts to call into question any search warrants. It’s even rarer for them to deny qualified immunity defenses. The Tenth Circuit’s decision should be celebrated as a big win for protesters and anyone concerned about police immunity for violating people’s constitutional rights. The case is now remanded back to the district court to proceed—and hopefully further vindicate the privacy rights we all have in our devices and digital data.

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San Jose Can Protect Immigrants by Ending Flock Surveillance System

(This appeared as an op-ed published February 12, 2026 in the San Jose Spotlight, written by Huy Tran (SIREN), Jeffrey Wang (CAIR-SFBA), and Jennifer Pinsof.)

As ICE and other federal agencies continue their assault on civil liberties, local leaders are stepping up to protect their communities. This includes pushing back against automated license plate readers, or ALPRs, which are tools of mass surveillance that can be weaponized against immigrants, political dissidents and other targets.

In recent weeks, Mountain View, Los Altos Hills, Santa Cruz, East Palo Alto and Santa Clara County have begun reconsidering their ALPR programs. San Jose should join them. This dangerous technology poses an unacceptable risk to the safety of immigrants and other vulnerable populations.

ALPRs are marketed to promote public safety. But their utility is debatable and they come with significant drawbacks. They don’t just track “criminals.” They track everyone, all the time. Your vehicle’s movements can reveal where you work, worship and obtain medical care. ALPR vendors like Flock Safety put the location information of millions of drivers into databases, allowing anyone with access to instantly reconstruct the public’s movements.

But “anyone with access” is far broader than just local police. Some California law enforcement agencies have used ALPR networks to run searches related to immigration enforcement. In other situations, purported issues with the system’s software have enabled federal agencies to directly access California ALPR data. This is despite the promises of ALPR vendors and clear legal prohibitions.

Communities are saying enough is enough. Just last week, police in Mountain View decided to turn off all of the city’s Flock cameras, following revelations that federal and other unauthorized agencies had accessed their network. The cameras will remain inactive until the City Council provides further direction.

Other localities have shut off the cameras for good. In January, Los Altos Hills terminated its contract with Flock following concerns about ICE. Santa Cruz severed relations with Flock, citing rising tensions with ICE. Most recently, East Palo Alto and Santa Clara County are reconsidering whether to continue their relationships with Flock, given heightened concern for the safety of immigrant communities.

California law prohibits local police from disclosing ALPR data to out-of-state or federal agencies. But at least 75 California police agencies were sharing these records out-of-state as recently as 2023. Just last year, San Francisco police allowed access to out-of-state agencies and 19 searches were related to ICE.

Even without direct access, ICE can exploit local ALPR systems. One investigation found more than 4,000 cases where police had made searches on behalf of federal law enforcement, including for immigration investigations.

Increasing the risk is that law enforcement routinely searches these networks without first obtaining a warrant. In San Jose, police aren’t required to have any suspicion of wrongdoing before searching ALPR databases, which contain a year’s worth of data representing hundreds of millions of records. In a little over a year, San Jose police logged more than 261,000 ALPR searches, or nearly 700 searches a day, all without a warrant.

Two nonprofit organizations, SIREN and CAIR California, represented by Electronic Frontier Foundation and the ACLU of Northern California, are currently suing to stop San Jose’s warrantless searches of ALPR data. But this is only the first step. A better solution is to simply turn these cameras off.

San Jose cannot afford delay. Each day these cameras remain active, they collect sensitive location data that can be misused to target immigrant families and violate fundamental freedoms. It is a risk materializing across California. City leaders must act now to shut down ALPR systems and make clear that public safety will not come at the expense of privacy, human dignity or community trust.

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3D Printer Surveillance

New York is contemplating a bill that adds surveillance to 3D printers:

New York’s 2026­2027 executive budget bill (S.9005 / A.10005) includes language that should alarm every maker, educator, and small manufacturer in the state. Buried in Part C is a provision requiring all 3D printers sold or delivered in New York to include “blocking technology.” This is defined as software or firmware that scans every print file through a “firearms blueprint detection algorithm” and refuses to print anything it flags as a potential firearm or firearm component.

I get the policy goals here, but the solution just won’t work. It’s the same problem as DRM: trying to prevent general-purpose computers from doing specific things. Cory Doctorow wrote about it in 2018 and—more generally—spoke about it in 2011.

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