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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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.

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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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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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Google’s parent company, Alphabet, has earned more than $400 billion in annual revenue for the first time. The company announced the milestone as part of its Q4 2025 earnings report released on Wednesday, which highlights the 15 percent year-over-year increase as its cloud business and YouTube continue to grow.

As noted in the earnings report, Google’s Cloud business reached a $70 billion run rate in 2025, while YouTube’s annual revenue soared beyond $60 billion across ads and subscriptions. Alphabet CEO Sundar Pichai told investors that YouTube remains the “number one streamer,” citing data from Nielsen. The company also now has more than 325 million paid subscribers, led by Google One and YouTube Premium.

Additionally, Pichai noted that Google Search saw more usage over the past few months “than ever before,” adding that daily AI Mode queries have doubled since launch. Google will soon take advantage of the popularity of its Gemini app and AI Mode, as it plans to build an agentic checkout feature into both tools.

Federal safety regulators are once again taking a hard look at self-driving cars after a serious incident involving Waymo, the autonomous vehicle company owned by Alphabet.

This time, the investigation centers on a Waymo vehicle that struck a child near an elementary school in Santa Monica, California, during morning drop-off hours. The crash happened Jan. 23 and raised immediate questions about how autonomous vehicles behave around children, school zones and unpredictable pedestrian movement.

On Jan. 29, the National Highway Traffic Safety Administration confirmed it had opened a new preliminary investigation into Waymo’s automated driving system.

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What happened near the Santa Monica school?

According to documents posted by NHTSA, the crash occurred within two blocks of an elementary school during normal drop-off hours. The area was busy. There were multiple children present, a crossing guard on duty and several vehicles double-parked along the street.

Investigators say the child ran into the roadway from behind a double-parked SUV while heading toward the school. The Waymo vehicle struck the child, who suffered minor injuries. No safety operator was inside the vehicle at the time.

NHTSA’s Office of Defects Investigation is now examining whether the autonomous system exercised appropriate caution given its proximity to a school zone and the presence of young pedestrians.

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Why federal investigators stepped in

The NHTSA says the investigation will focus on how Waymo’s automated driving system is designed to behave in and around school zones, especially during peak pickup and drop-off times.

That includes whether the vehicle followed posted speed limits, how it responded to visual cues like crossing guards and parked vehicles and whether its post-crash response met federal safety expectations. The agency is also reviewing how Waymo handled the incident after it occurred.

Waymo said it voluntarily contacted regulators the same day as the crash and plans to cooperate fully with the investigation. In a statement, the company said it remains committed to improving road safety for riders and everyone sharing the road.

Waymo responds to the federal investigation

We reached out to Waymo for comment, and the company provided the following statement:

“At Waymo, we are committed to improving road safety, both for our riders and all those with whom we share the road. Part of that commitment is being transparent when incidents occur, which is why we are sharing details regarding an event in Santa Monica, California, on Friday, January 23, where one of our vehicles made contact with a young pedestrian. Following the event, we voluntarily contacted the National Highway Traffic Safety Administration (NHTSA) that same day. NHTSA has indicated to us that they intend to open an investigation into this incident, and we will cooperate fully with them throughout the process. 

“The event occurred when the pedestrian suddenly entered the roadway from behind a tall SUV, moving directly into our vehicle’s path. Our technology immediately detected the individual as soon as they began to emerge from behind the stopped vehicle. The Waymo Driver braked hard, reducing speed from approximately 17 mph to under 6 mph before contact was made. 

“To put this in perspective, our peer-reviewed model shows that a fully attentive human driver in this same situation would have made contact with the pedestrian at approximately 14 mph. This significant reduction in impact speed and severity is a demonstration of the material safety benefit of the Waymo Driver.

“Following contact, the pedestrian stood up immediately, walked to the sidewalk and we called 911. The vehicle remained stopped, moved to the side of the road and stayed there until law enforcement cleared the vehicle to leave the scene. 

This event demonstrates the critical value of our safety systems. We remain committed to improving road safety where we operate as we continue on our mission to be the world’s most trusted driver.”

Understanding Waymo’s autonomy level

Waymo vehicles fall under Level 4 autonomy on NHTSA’s six-level scale.

At Level 4, the vehicle handles all driving tasks within specific service areas. A human driver is not required to intervene, and no safety operator needs to be present inside the car. However, these systems do not operate everywhere and are currently limited to ride-hailing services in select cities.

The NHTSA has been clear that Level 4 vehicles are not available for consumer purchase, even though passengers may ride inside them.

This is not Waymo’s first federal probe

This latest investigation follows a previous NHTSA evaluation that opened in May 2024. That earlier probe examined reports of Waymo vehicles colliding with stationary objects like gates, chains and parked cars. Regulators also reviewed incidents in which the vehicles appeared to disobey traffic control devices.

That investigation was closed in July 2025 after regulators reviewed the data and Waymo’s responses. Safety advocates say the new incident highlights unresolved concerns.

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What this means for you

If you live in a city where self-driving cars operate, this investigation matters more than it might seem. School zones are already high-risk areas, even for attentive human drivers. Autonomous vehicles must be able to detect unpredictable behavior, anticipate sudden movement and respond instantly when children are present.

This case will likely influence how regulators set expectations for autonomous driving systems near schools, playgrounds and other areas with vulnerable pedestrians. It could also shape future rules around local oversight, data reporting and operational limits for self-driving fleets.

For parents, commuters and riders, the outcome may affect where and when autonomous vehicles are allowed to operate.

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Kurt’s key takeaways

Self-driving technology promises safer roads, fewer crashes and less human error. But moments like this remind us that the hardest driving scenarios often involve human unpredictability, especially when children are involved. Federal investigators now face a crucial question: Did the system act as cautiously as it should have in one of the most sensitive driving environments possible? How they answer that question could help define the next phase of autonomous vehicle regulation in the United States.

Do you feel comfortable sharing the road with self-driving cars near schools, or is that a line technology should not cross yet? Let us know by writing to us at Cyberguy.com

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