For more than a decade, one question has loomed over the race to build autonomous vehicles: Are cameras alone enough to safely replace human drivers, or do truly driverless cars need additional, overlapping sensors like lidar and radar to navigate the world reliably? Tesla has bet billions of dollars that artificial intelligence and cameras are sufficient. Nearly every other major autonomous vehicle developer has gone the opposite direction.
Technology
How tech is being used in Nancy Guthrie disappearance investigation
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Nancy Guthrie, the 84-year-old mother of “Today” show co-anchor Savannah Guthrie, was reported missing from her home in the Catalina Foothills area near Tucson after she failed to appear for church and could not be reached by family. When deputies arrived, several things stood out. Her phone, wallet and car keys were inside the home. The daily medication she relies on was left behind. Given her age and mobility challenges, investigators said she would not have left voluntarily.
The Pima County Sheriff’s Department has since stated publicly that the case is being treated as a suspected abduction, and the home was processed as a crime scene. As the search continues, investigators are piecing together not only physical evidence and witness tips, but also the digital trail left behind by everyday technology.
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Investigators are examining digital clues from phones, cameras and networks to help narrow the timeline in the Nancy Guthrie missing person investigation. (Courtesy of NBC)
Why technology matters in missing person investigations
In cases like this, technology rarely delivers a single smoking gun. Instead, it helps investigators answer quieter but critical questions that shape a timeline. Investigators ask when everything still looked normal. They look for the moment when devices stopped communicating. They try to pinpoint when something changed. Phones, medical devices, cellular networks and cameras generate timestamps. Those records help narrow the window when events may have taken a dangerous turn.
YOUR PHONE SHARES DATA AT NIGHT: HERE’S HOW TO STOP IT
Smart cameras and neighborhood footage can provide crucial time markers, even when images are unclear or partially obscured. (Courtesy of NBC)
How investigators connect data across agencies
Behind the scenes, investigators rely on advanced analytical systems to connect information from multiple sources and jurisdictions. In Tucson and across Pima County, law enforcement agencies use artificial intelligence-assisted crime analysis platforms such as COPLINK, which allows data sharing with at least 19 other police departments across Arizona. These systems help investigators cross-reference tips, reports, vehicle data and digital evidence more quickly than manual searches.
The Pima County Sheriff’s Department, Tucson Police Department and the FBI also work through real-time analytical crime centers, including Tucson’s Real-Time Analytical Crime Center (TRACC). These centers allow analysts to review large volumes of data together, from phone records and license plate reads to surveillance timestamps.
This type of analysis does not replace traditional police work. It helps narrow timelines, rule out possibilities and prioritize leads as new information comes in.
Bluetooth data and Apple’s potential role
iOS may retain low-level Bluetooth artifacts outside the pacemaker app. Access to this data typically requires:
- Legal process
- Apple cooperation
- Device forensic extraction
Bluetooth artifacts cannot determine distance. They cannot show that two devices were a few feet apart. What they can sometimes provide is timestamp correlation, confirming that a Bluetooth interaction occurred. That correlation can help align pacemaker activity with phone movement or inactivity. It is not publicly known whether Apple has been formally contacted in this case. An inquiry has been made. Apple typically does not comment on specific investigations but may confirm what categories of data could be available.
What the iPhone itself may reveal
Even without medical data, the iPhone left behind may provide valuable corroboration. With proper legal access, investigators may examine:
- Motion sensor activity
- Cellular network connections
- Wi-Fi associations
- Camera metadata
- Power and usage patterns
This data can help establish whether the phone moved unexpectedly or stopped being used at a specific time. Again, the value lies in confirming timelines, not speculating motives.
Cell tower data and coverage around the home
Public mapping databases show dense cellular coverage in the area surrounding the Guthrie residence. There are 41 cell towers within a three-mile radius. The closest carrier towers are approximately:
- AT&T at 1.0 mile
- Verizon at 1.4 miles
- T-Mobile at 3.0 miles
Carrier records can be analyzed to identify device connections, sector handoffs and anomalous activity during the critical window between Saturday evening and Sunday morning. This analysis is complex, but it can help confirm whether a device moved or disconnected unexpectedly.
Cameras, license plate readers and neighborhood footage
Investigators are also reviewing surveillance systems. Tucson primarily uses Verkada cameras integrated with the Fusus platform. Flock Safety cameras are used in other parts of the region, including South Tucson.
More than 200 automatic license plate readers are deployed in the broader area, allowing investigators to review historical vehicle movements during the critical time window. These systems can capture license plates, vehicle make and color, vehicle type and alerts tied to suspect vehicles.
Private sources may matter just as much. Neighbor doorbell cameras and home systems can provide important timeline markers, even if the footage is grainy. Some modern vehicles also record motion near parked cars if settings are enabled.
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Everyday devices quietly record timestamps that may help investigators understand when something has changed and where to look next. (Courtesy of NBC)
Ways to keep your loved ones safe
Technology can help protect older or vulnerable relatives, but it works best when combined with everyday habits that reduce risk.
1) Use connected cameras
Install smart doorbell cameras and outdoor security cameras that notify family members when someone unfamiliar appears. Alerts can matter just as much as recorded footage. Many newer systems allow AI-based person detection, which can alert you when an unknown person is seen at certain times of day or night. These alerts can be customized, so family members know when activity breaks a normal pattern, not just when motion is detected.
2) Wear an emergency pendant or medical alert device
Emergency pendants and wearable SOS devices let someone call for help with a single press. Many newer models work outside the home and can alert caregivers if a fall is detected. Some devices also include GPS, which helps when someone becomes disoriented or leaves home unexpectedly. This remains one of the most overlooked safety tools for older adults.
3) Enable device sharing and safety features
If your loved one agrees, enable location sharing, emergency contacts and built-in safety features on their phone or wearable.
On smartphones, this can include:
- Emergency SOS
- Medical ID access from the lock screen
- Trusted location sharing through apps like Find My
These features work quietly in the background, allowing help to reach the right people quickly without requiring daily interaction.
4) Create simple check-in routines
Use apps, text reminders or calendar alerts that prompt regular check-ins. If a message goes unanswered, it creates a reason to follow up quickly instead of assuming everything is fine. Consistency matters more than complexity.
5) Use devices with passive safety monitoring
Some phones, wearables and home systems can detect changes in normal daily activity without requiring a button press. For example, smartphones and smartwatches can notice when movement patterns suddenly stop or change. If a device that usually moves every morning stays still for hours, that shift can trigger alerts or prompt a check-in from a caregiver. Smart home systems can also flag unusual inactivity. Motion sensors that normally register movement throughout the day may show a long gap, which can signal that something is wrong. Passive monitoring works in the background. It reduces the need for constant interaction while still creating early warning signs when routines break.
6) Know emergency contacts and escalation steps
Enable smart alerts from home security systems so that family members know when doors open late at night, remain open longer than normal or when systems are armed or disarmed. Fire and smoke listener alerts and bedside panic buttons add another layer of protection, especially overnight. Car apps can also share safety signals, such as when a vehicle is unlocked, a door or window is left open or when location sharing is enabled with trusted family members.
“No single device can protect someone on its own,” a law enforcement expert told CyberGuy. “What helps most is layering. A camera paired with a wearable. A phone paired with check-ins. Technology paired with human attention. Each layer adds context and reduces blind spots. Together, they create earlier warnings and faster responses when something goes wrong.”
Kurt’s key takeaways
The disappearance of Nancy Guthrie is heartbreaking. It also highlights how deeply modern technology is woven into everyday life. Digital data from phones, cellular networks, and cameras can offer valuable insights, but only when used responsibly and in compliance with privacy laws. As this investigation continues, technology may help law enforcement narrow timelines and test theories, even if it cannot answer every question. In cases like this, every detail matters.
As digital footprints grow more detailed, should tech companies give law enforcement broader access when someone goes missing? Let us know by writing to us at Cyberguy.com.
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Even though they haven’t been officially announced yet, Samsung is giving you a chance to save some cash when you preorder what we’re expecting to be the brand’s updated Galaxy Z Fold phones. The next Galaxy Unpacked event will take place on July 22nd, 2026, and features the tagline “A new shape unfolds.” In addition to seeing updated versions of the existing Flip and Fold form factors, we anticipate the debut of a new, wider foldable phone. If you register your interest ahead of time and end up preordering one of the new phones shortly after they’re announced, Samsung will give you a $30 store credit at checkout.
There are some caveats to this offer. You have to use the credit when you preorder the phone. No saving it for later. Also, the credit can’t be applied to the cost of the phone either, so you’ll have to put it towards the cost of accessories or extra services. Samsung specifically calls out that select Galaxy rings, earbuds, watches, and tablets are eligible, or you can use it to help pay for Samsung Care Plus.
There are no downsides to registering your interest, so if you think you might be interested in buying one of the upcoming phones, it’s worth filling out the form. As long as you use the same email during checkout, the credit will be automatically applied.
Anthropic’s new AI model raises alarms over safety, cybersecurity concerns
Matt Shumer, co-founder and CEO of OthersideAI, details Anthropic’s new AI model, Mythos, on ‘The Sunday Briefing’. The model’s “emergent capabilities” to find software vulnerabilities autonomously raised alarms, prompting Anthropic to restrict public access. Shumer explains the proactive move of granting major companies and the US government early access to Mythos for cyber defense, anticipating future threats to critical infrastructure and national security.
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A security update rarely feels dramatic. You see the alert, promise yourself you will install it later and then go right back to whatever you were doing. This time, Apple is giving you a stronger reason to pay attention.
Apple released iOS 26.5.2, iPadOS 26.5.2 and macOS Tahoe 26.5.2 on June 29, 2026. The updates include security fixes for vulnerabilities tied to the kernel, WebKit and WebRTC. Apple says these fixes were first made available through the iOS 26.6, iPadOS 26.6 and macOS Tahoe 26.6 betas before being pushed out early to everyone.
That is the part that should make you pause. Apple usually rolls many security fixes into larger software updates. This time, the company moved faster.
AI IS NOW POWERING CYBERATTACKS, MICROSOFT WARNS
Apple pushed out security fixes early because AI can help hackers study software flaws faster. (Nikolas Kokovlis/NurPhoto via Getty Images)
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Why Apple released this AI security update early
Apple reportedly accelerated the updates because artificial intelligence can help speed the creation of malicious hacking tools. Once a fix appears in a beta, attackers may be able to study it, reverse-engineer the weakness and move faster than before.
Apple said there was no evidence that the newly patched vulnerabilities had been exploited. Still, the company wanted to shrink the time between when fixes were first visible and when they reached your devices.
That is a major shift. It suggests Apple sees AI as a force that changes the timing of security. A flaw that once gave defenders more breathing room may now become a race.
What Apple fixed in iOS 26.5.2
Apple’s iOS 26.5.2 and iPadOS 26.5.2 notes list fixes for iPhone 11 and later, along with several supported iPad models. The security content includes kernel vulnerabilities that could let an app crash the system, corrupt kernel memory or leak sensitive kernel state.
The update also fixes multiple WebKit issues. WebKit powers Safari and web content inside many apps. Some of these flaws involved malicious web content that could lead to crashes, memory corruption, data leaks or sandbox escapes.
Apple also fixed WebRTC issues that could be triggered by malicious web content and lead to Safari or process crashes.
For Mac, Apple lists macOS Tahoe 26.5.2 as the current release. If your Mac runs macOS Sonoma or macOS Sequoia, Apple also lists Safari 26.5.2 as a June 29, 2026, security release.
A woman uses a smartphone outside an Apple Store on June 20, 2026, in Shenzhen, Guangdong Province, China. (Cheng Xin/Getty Images)
Why AI hacking tools change the security race
AI can help legitimate researchers find bugs faster. That is good when the work leads to stronger software and responsible disclosure. However, the same general capability can also help bad actors move faster. A criminal does not need to understand every line of code if an AI tool can help summarize a patch, compare software changes or suggest where a weakness may be hiding.
That is why Apple’s move is important. It shows that big tech companies may need to release security fixes sooner and more often, even when those updates do not include flashy new features. The wider AI world adds pressure here. Frontier AI companies have released or tested systems with stronger coding and cybersecurity capabilities. Some models are available only through limited previews, approved access or extra safeguards because of their potential cyber use.
Similar efforts are also emerging outside the United States. Several international AI labs and security companies now promote models designed to find vulnerabilities, analyze code and assist cyber defense. The takeaway for you isn’t that AI is automatically bad. The real point is speed. Security teams, attackers and AI tools are now moving on a shorter clock.
How to update your iPhone or iPad
Before you update, plug in your device and connect to Wi-Fi. You may also want to back up your iPhone or iPad first.
Then do this: Open Settings > General > Software Update > Download and Install.
After the update finishes, go back to Settings > General > Software Update > Automatic Updates. Make sure automatic updates are turned on. Apple also lets your device automatically install system file updates that improve security without changing the full software version. If you do not see the update right away, check again later. Apple releases updates in stages, and your device also needs enough battery and storage.
How to update your Mac
On a Mac, start with a backup. Then click the Apple menu > System Settings > General > Software Update . Choose Update Now if macOS Tahoe 26.5.2 appears.
Next, check your background update settings. On macOS Tahoe 26 or later, go to Apple menu > System Settings > General > Software Update . Click the More Info button next to Automatic Updates and make sure Install system data files and security updates is turned on.
If your Mac runs Sonoma or Sequoia, look for Safari 26.5.2 in Software Update as well. That Safari update may be the protection your Mac needs if you are not on Tahoe.
BEWARE OF HACKERS SHOWING UP PRETENDING TO BE IT
What this Apple security update means to you
You may see more security updates that feel sudden or small. That can be annoying, especially when you are busy or your device needs to restart.
Still, these updates are becoming more important. Apple is reacting to a world where AI can help shorten the time between a public fix and a possible attack.
So, when your iPhone, iPad or Mac asks you to update, do not treat it like background noise. The update may be closing a door someone else is already trying to find.
Updating your iPhone, iPad and Mac helps close security holes before attackers get more time to exploit them. (Katharina Kausche/picture alliance via Getty Images)
How to stay safe after the Apple security update
Installing the Apple AI security update is the best first move. After that, tighten a few habits that make attacks harder.
1) Keep your apps updated
Your operating system is only part of the security picture. Outdated apps can still create risk, especially if they handle messages, web links, photos, files or account logins. Open the App Store and install available updates regularly.
2) Watch out for suspicious links
Be careful with links in texts, emails and social media messages. WebKit and browser flaws are a reminder that malicious web content can be part of an attack. When in doubt, open the official app or website yourself instead of tapping a link.
3) Use strong passwords and two-factor authentication
Use strong, unique passwords for every account and store them in a password manager. Then turn on two-factor authentication (2FA) wherever possible. If one password gets exposed, you do not want it opening the door to your email, bank or Apple account.
4) Use strong antivirus protection
Use strong antivirus protection on your Mac and other connected devices. It can help catch malicious files, phishing attempts and suspicious activity before they do damage. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android and iOS devices at CyberGuy.com.
5) Back up your data regularly
Back up your iPhone, iPad and Mac before problems hit. A recent backup can help you recover faster if an update fails, your device gets stolen or malware locks you out of important files. CyberGuy’s guide to backing up your devices walks you through ways to protect your files using cloud storage, an external drive or both.
6) Use a personal data removal service
Use a personal data removal service to reduce how much of your personal information is floating around online. Data brokers and people-search sites can expose your name, address, phone number and relatives. Scammers can use those details to make phishing messages feel more believable. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting CyberGuy.com.
Kurt’s key takeaways
Apple’s early security release shows how fast the cyber threat landscape is changing. The company says there is no evidence these newly patched flaws were exploited, but it still moved the fixes out before the wider 26.6 release. That tells me the old habit of waiting weeks to update is getting riskier. AI can help defenders, but it can also help criminals study weaknesses faster. My advice is direct: update your Apple devices now, turn on automatic security updates and stop putting off patches that protect the phone and computer you use every day.
Do you think AI will make your devices safer because companies can find flaws faster, or more vulnerable because hackers can move faster too? Let us know by writing to us at CyberGuy.com.
Automatic updates, strong passwords and a personal data removal service can make you a harder target after the update. (Silas Stein/picture alliance via Getty Images)
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Until now, that argument has largely been left to executives and engineers. New Jersey lawmakers are trying to settle it in state law.
A bill expected to come up for a vote later this year would require companies seeking to operate fully autonomous vehicles in New Jersey to use cameras plus two other sensing technologies, most commonly lidar and radar. If enacted, New Jersey would be the first state to codify such a hardware mandate into law, moving ahead of a nearly identical proposal currently pending action in neighboring New York. The measure would also effectively prevent Tesla’s camera-only Robotaxi system from operating in New Jersey unless the company changed its hardware.
”This is not anti-Tesla,” Democratic state Sen. Andrew Zwicker, the bill’s primary sponsor, told The Verge. “I’m pro-New Jersey safety.”
Zwicker, a physicist who works at the Princeton Plasma Physics Laboratory (New Jersey doesn’t restrict legislators from outside jobs), said after riding in a Waymo robotaxi in Phoenix he became convinced autonomous vehicles could transform transportation.
”I was amazed how quickly you get used to it,” he said.
The technology, he argues, could dramatically expand mobility, reduce traffic deaths, and make transportation more accessible. But he believes the technology should roll out cautiously in the nation’s most densely populated state.
”At this point, I don’t think the evidence is sufficient that a single sensor with software can handle situations that humans can,” Zwicker said. “Can we get there? Maybe. But we’re not there yet.”
The proposal would establish a three-year pilot program governing the testing and deployment of fully autonomous vehicles in New Jersey. Companies would have to use multiple sensing technologies, report certain crashes, and receive state authorization before operating fully driverless commercial services. They would also have to complete at least 50,000 miles of supervised testing in New Jersey without a major incident before removing the human safety driver.
While state battles over autonomous vehicles have largely centered on safety performance, oversight, and potential job losses, New Jersey is attempting something different: legislating how the vehicles themselves should be built.
“At this point, I don’t think the evidence is sufficient that a single sensor with software can handle situations that humans can.”
— New Jersey state Sen. Andrew Zwicker
The sensor requirement is by far the bill’s most consequential provision and it would have repercussions beyond Tesla. Elon Musk has long argued that cameras paired with increasingly capable artificial intelligence are the best and most cost effective way to operate autonomous vehicles. Humans navigate the world using vision alone, Musk has said, so sufficiently advanced AI should eventually be able to do the same. Eliminating lidar and radar also dramatically lowers hardware costs, making it easier to build robotaxis cheaply enough to deploy at massive scale.
Musk has even argued that adding more sensors can reduce safety by forcing software to reconcile conflicting information.
”Lidar and radar reduce safety due to sensor contention. If lidars/radars disagree with cameras, which one wins?” he wrote on X last year. “We turned off the radars in Teslas to increase safety. Cameras ftw.”
Most of the rest of the autonomous vehicle industry disagrees. Companies including Waymo and Zoox combine cameras with lidar and radar, arguing that each sensing technology has different strengths and weaknesses. Cameras capture rich visual detail, allowing vehicles to recognize colors, traffic signs, lane markings, and pedestrians, but they can struggle in poor weather, darkness, or glare. Radar performs better in rain and fog and excels at measuring the distance and relative speed of nearby objects. Lidar uses lasers to create detailed three-dimensional maps of a vehicle’s surroundings, making it particularly effective at determining the shape and distance of nearby objects.
Rather than relying on a single sensor, those companies combine the strengths of all three, arguing that redundancy makes autonomous driving safer. Philip Koopman, a Carnegie Mellon electrical and computer engineering professor and autonomous vehicle safety expert, said camera-only systems may eventually become capable enough for fully autonomous driving. But he doesn’t believe they are today.
As Koopman put it, “eyeballs are better than cameras for many reasons” and “human brains are fundamentally more powerful than AI because we understand.” While there are situations where Koopman said camera-only works just fine — clear weather, favorable lighting, and less complex roads — he believes it’s not ready for broad consumer use.
“To run 24/7 across the majority of public roads in New Jersey today, it needs lidar,” he said. “It’s pretty clear that today camera-only technology is not up to the challenge.”
Koopman supports the New Jersey proposal but said he would prefer even stronger safeguards, such as requiring conventional driving controls like steering wheels and pedals so first responders could move disabled vehicles (so no Cybercabs, which don’t have either), and limits on how many AVs can be on the road during the pilot (a potential provision Zwicker said he’s considering).
“It’s pretty clear that today camera-only technology is not up to the challenge.”
— AV expert Philip Koopman
“The difference between 100 cars and 10,000 cars is night and day,” Koopman said. When the scale is small, “There’s just not enough cars for that much weird stuff to happen to them.” He pointed to Waymo, which now operates more than 3,500 commercial robotaxis across 11 US metro areas.
”They never used to have problems with floodwaters and school buses — not because they could do floodwaters and school buses,” Koopman said. “But with 100 cars it just doesn’t happen that often.”
Despite a lot of fanfare, Tesla currently only has a handful of unsupervised Robotaxis on the road, mostly in Texas, according to data from Robotaxi Tracker, suggesting it hasn’t been as easy to scale the camera-only approach as Musk had previously promised. Last year he predicted that Tesla would have hundreds of thousands of fully self-driving Teslas operating by the end of 2026. (Tesla did not respond to requests for comment for this article.)
Many of the bill’s provisions mirror recommendations from SAVE-US, a nonprofit that advocates for stricter autonomous vehicle regulation. Physicist and SAVE-US national campaign director Shua Sanchez said the group formed because Congress has failed to establish national rules while autonomous vehicle companies have expanded into states with dramatically different levels of oversight.
“California has the best safety regulations in the country,” he said. “Texas, Arizona, and Georgia have almost no state oversight.”
Among the organization’s priorities is requiring redundant sensing systems.
“We don’t have a problem with Tesla as a company,” Sanchez said. “We have a problem with camera-only autonomous vehicles.”
Nearly every major stakeholder has sought changes to the bill. Waymo successfully pushed to remove a requirement that safety drivers remain in vehicles throughout the pilot, and Uber argued the state should continue requiring human drivers for most rides, according to Zwicker.
Tesla has been lobbying against the legislation in New Jersey, according to Zwicker, who said company representatives met with lawmakers to argue that advances in artificial intelligence make additional sensor types unnecessary. Zwicker said that while the tech has gotten better, “I’m not convinced yet that they’re ready to go.”
The debate has spilled beyond the state House.
“As written, the legislation imposes restrictions so severely that Tesla’s autonomous vehicle technology couldn’t legally operate in New Jersey,” read a Tesla missive to New Jersey Tesla owners encouraging them to contact lawmakers. “Rather than prioritizing real safety outcomes and performance, the bill specifically bans Tesla from the New Jersey market.”
Zwicker said his office received roughly 4,000 emails within a day. “The messaging wasn’t about the details of the bill,” he said. “It was that Zwicker is trying to take away your Autopilot.”
“Rather than prioritizing real safety outcomes and performance, the bill specifically bans Tesla from the New Jersey market.”
— A Tesla message to NJ owners
Zwicker rejects that characterization. The legislation applies only to fully autonomous vehicles operating under the proposed state pilot program — not driver-assistance systems that require a licensed human driver to remain behind the wheel.
The fight in New Jersey reflects a broader vacuum in autonomous vehicle regulation. Congress has debated national autonomous vehicle legislation for years without passing a comprehensive framework, leaving states to develop their own rules as commercial robotaxi services expand. Robotaxi services already operate in states including California, Texas, Arizona, and Georgia under dramatically different regulatory systems. While California requires extensive testing permits and public reporting, it doesn’t specify which tech the AVs need to get there. Texas has adopted a far lighter-touch approach, which lets automakers self-certify that their autonomous vehicles are ready for the road.
New Jersey’s bill raises the possibility that AV tech there could differ from that of other states. Zwicker says that isn’t his concern.
“The technology doesn’t exist in the Northeast at all,” he said. “The goal is to start now, do it safely, and build public trust.”
Sanchez sees the sensor requirement as a common-sense safeguard rather than a restriction on innovation.
“There are absolutely brilliant people working at Tesla trying to make camera-only autonomy work,” he said. “But they’re trying to do it with one arm tied behind their back.”
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