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Tesla to roll out “Sentry Mode” security system on Model S, X and 3 equipped with Autopilot 2+ hardware
With the recent increase in Tesla vehicle break-ins and vandalism popping up across social media and online forums, CEO Elon Musk’s recent hint at an upcoming “Sentry Mode” feature for Model S, Model X, and Model 3 vehicles that are equipped with Enhance Autopilot hardware is both welcome and timely. The reveal comes via Twitter and in response to a customer’s complaint about a large dent found on his Model 3. “Tesla Sentry Mode coming soon for all cars with Enhanced Autopilot.” said Musk. The newest feature bodes well for the electric carmaker who’s been rolling out security improvements over the last few months, including an in-car dash cam system and motion-sensing Enhanced Anti-Theft system.
Tesla Sentry Mode coming soon for all cars with Enhanced Autopilot https://t.co/x2buQWiABX
— Elon Musk (@elonmusk) January 22, 2019
Broken windows and trunk thefts from Teslas in the California Bay Area were reported over the last few months in San Francisco and neighboring cities, to the extent that owners felt they were being targeted. The pattern of behavior seemed to indicate thieves were exploiting a weak point in Model 3 vehicles in particular – there isn’t a sensor to detect if a window has been broken. After gaining entry through the back quarter window, the rear seat would be lowered to survey the trunk, and if contents were found, the full back passenger window would be broken and used to gain entry. Eventually, some owners posted ideas online to drive a group effort at mitigation, and two owners even designed a locking device to secure the rear seats and deter would-be offenders.
Enhanced Autopilot (EAP), Tesla’s driver-assist software enabled in February 2017 with the version 8.0 software update, utilizes 8 surround cameras and 12 ultrasonic sensors and radar. Also part of its capabilities is a “Side Collision Warning” feature that, when considered together with the survey hardware, can easily be imagined as the core of an advanced mode for vehicle security. Instead of the built-in software functioning to warn a driver inside the vehicle of objects within certain proximity on the road, an “always on” type system could transmit warning signals to the owner’s app and/or have a built in response.
Although details provided on the coming “Sentry Mode” barely exist, Tesla’s commitment to the security of its vehicles has been clear. In the Version 9.0 software released last year, a built-in dash cam feature was included which utilized vehicles’ 360-degree array of Autopilot cameras to record and save footage to a driver-provided external USB drive. Although the feature could have several uses, hobby or otherwise, it was specifically added to aid with owner security issues such as capturing hit-and-run events. Another possible vision of “Sentry Mode” may merely expand on this functionality to incorporate more advanced recording options, including an “always on” option.
Tesla-targeting security issues were also reported in Europe last year and, combined with the US-based reports, the need for enhanced security features has continued to be addressed by the electric vehicle maker through gradual improvements and options. In November, an Enhanced Anti-Theft device was released via the Tesla online store which monitors movement inside Model S and Model X cabins when the vehicles are locked. The feature had already been part of an optional security package in European models. In August, “PIN to drive” was released in an over-the-air software update requiring a PIN-entry prior to vehicle operation. The feature was a result of Tesla’s continuous participation in “bug bounty” programs offering cash and a free Tesla Model 3 for vulnerabilities discovered in the company’s suite of vehicles and energy products.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
