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The unoccupied space-facing port on the International Space Station’s Harmony module is pictured several hours before the SpaceX Dragon Freedom spacecraft would relocate there after undocking from Harmony’s forward port.

NASA Johnson Space Center

In the race to conquer the cosmos, the greatest challenge to space exploration might be the vastness of the unknown, but that distance from planet Earth isn’t dissuading the invisible hands of cybercriminals aiming to sabotage missions from thousands of miles below.

Spacecraft, satellites, and space-based systems all face cybersecurity threats that are becoming increasingly sophisticated and dangerous. With interconnected technologies controlling everything from navigation to anti-ballistic missiles, a security breach could have catastrophic consequences.

“There are unique constraints to operating in space where you do not have physical access to spacecraft for repairs or updates after launch,” said William Russell, director of contracting and national security acquisitions at the U.S. Government Accountability Office. “The consequences of malicious cyber activities include loss of mission data, decreased lifespan or capability of space systems or constellations, or the control of space vehicles.”

Critical space infrastructure is susceptible to threats across three key segments: in space, on the ground segment and within the communication links between the two. A break in one can be a cascading failure for all, said Wayne Lonstein, co-founder and CEO at VFT Solutions, and co-author of Cyber-Human Systems, Space Technologies, and Threats. “In many ways, the threats to critical infrastructure on Earth can cause vulnerabilities in space,” Lonstein said. “Internet, power, spoofing and so many other vectors that can cause havoc in space,” he added.

AI risks in mission critical systems

The integration of artificial intelligence into space projects has heightened the risk of sophisticated cyber attacks orchestrated by state actors and individual hackers. AI integration into space exploration allows more decision-making with less human oversight.

For example, NASA is using AI to target scientific specimens for planetary rovers. However, reduced human oversight could make these missions more prone to unexplained and potentially calamitous cyberattacks, said Sylvester Kaczmarek, chief technology officer at OrbiSky Systems, which specializes in the integration of AI, robotics, cybersecurity, and edge computing in aerospace applications.

Data poisoning, where attackers feed corrupted data to AI models, is one example of what could go wrong, Kaczmarek said. Another threat, he said, is model inversion, where adversaries reverse-engineer AI models to extract sensitive information, potentially compromising mission integrity. If compromised, AI systems could be used to interfere with or take control of strategically important national space missions.

“AI systems may be susceptible to unique types of cyberattacks, such as adversarial attacks, where malicious inputs are designed to deceive the AI into making incorrect decisions or predictions,” Lonstein said. AI could also enable adversaries to “carry out sophisticated espionage or sabotage operations against space systems, potentially altering mission parameters or stealing sensitive information,” he added.

The Quetzal-1 CubeSat is seen as it deploys from the JEM Small Satellite Orbital Deployer aboard the International Space Station.

NASA Johnson Space Center

Worse yet, AI can be weaponized — used to develop advanced space-based weapons or counter-space technologies that could disrupt or destroy satellites and other space assets.

The U.S. government is tightening up the integrity and security of AI systems in space. The 2023 Cyberspace Solarium Commission report stressed the importance of designating outer space as a critical infrastructure sector, urging enhanced cybersecurity protocols for satellite operators.

Lonstein recommends rigorous testing of AI systems in simulated space conditions before deployment, and redundancy as a way to safeguard against an unexpected breach. “Implement redundant systems to ensure that if one AI component fails, others can take over, thus maintaining mission integrity and functionality,” he said.

Use of strict access controls, authentication, and error correction mechanisms can further ensure that AI systems operate with accurate information. There are reactive measures for when even these defenses have been breached, through the design of AI systems with fail-safe mechanisms that can revert to a “safe state” or “default mode” in the event of a malfunction or unexpected behavior, Lonstein said. Manual override is important, too. “Ensure that ground control can manually override or intervene in AI decision- making, when necessary, providing an additional layer of safety,” he added.

U.S.-China competition

The rivalry between the U.S. and China includes the new battleground of space. As both nations ramp up their space ambitions and militarized capabilities beyond Earth’s atmosphere, the threat of cyberattacks targeting critical orbital assets has become an increasingly pressing concern.

“The competition between the U.S. and China, with Russia as a secondary player, heightens the risk of cyberattacks as these nations seek to gain technological superiority,” Kaczmarek said.

Though they don’t garner as much attention in the mainstream press as consumer, crypto or even nation-state hacks against key U.S. private and government infrastructure on the ground, notable cyberattacks have targeted critical space-based technologies in recent years. With the U.S., China, Russia and India intensifying their push for space dominance, the stakes have never been higher.

There were repeated cyberattacks this year on Japan’s space agency JAXA. In 2022, there were hacks on SpaceX’s Starlink satellite system, which Elon Musk attributed to Russia after the satellites were supplied to Ukraine. In August 2023, the U.S. government issued a warning that Russian and Chinese spies were aiming to steal sensitive technology and data from U.S. space companies such as SpaceX and Blue Origin. China has been implicated in numerous cyber-espionage campaigns dating back as far as a decade, such as the 2014 breach of the U.S. National Oceanic and Atmospheric Administration weather systems, jeopardizing space-based environmental monitoring.

“Nations like China and Russia target U.S. space assets to disrupt operations or steal intellectual property, potentially leading to compromised missions and a loss of technological edge,” Kaczmarek said.

Space-based systems increasingly support critical infrastructure back on Earth, and any cyberattacks on these systems could undermine national security and economic interests. Last year, the U.S. government let hackers break into a government satellite as a way to test vulnerabilities that could be exploited by the Chinese. That came amid growing concerns at the highest levels of the government that China is attempting to “deny, exploit or hijack” enemy satellites — revelations that became public in the leak of classified documents by U.S. Air National Guardsman Jack Teixeira in 2023.

“The ongoing space race and the associated technologies will continue to be impacted by Viasat-like cyberattacks,” said GAO’s Russell, referring to a 2022 cyberattack against the satellite company attributed by U.S. and U.K. intelligence to Russia as part of its war against Ukraine.

Big Tech’s space-based cloud

Private companies and the government will need to use all the cybersecurity tools at their disposal, including encryption, intrusion detection systems, and collaboration with government agencies like the Cybersecurity and Infrastructure Security Agency for intelligence sharing and coordinated defense.

“These collaborations can also involve developing cybersecurity frameworks specifically tailored to space systems,” Kaczmarek said.

At the same time, Silicon Valley-based tech companies have been making rapid advancements in the field of cybersecurity, including those designed to secure space technologies. Companies like Microsoft, Amazon, Google, and Nvidia are increasingly being enlisted by the U.S. Space Force and Department of Defense for their specialized resources and advanced cyber capabilities.

Notably, Microsoft is a founding member of the Space Information Sharing and Analysis Center and has been an active participant since its formation several years ago. “Microsoft has partnered with the U.S. Space Force to support their growth as a fully digital service, bringing the latest technologies to ensure Space Force Guardians are prepared for space-based conflicts,” said a Microsoft spokesperson via email.

As part of the $19.8 million contract, Microsoft provides its Azure cloud computing infrastructure, simulations, augmented reality, and data management tools to support and secure a wide range of Space Force missions. “Microsoft is playing a key role in defending against cyber threats in space,” the spokesperson wrote.

Google Cloud, Amazon Web Services and defense contractor General Dynamics also offer cloud infrastructure for storing and processing vast amounts of data generated by satellites and space missions.

Nvidia‘s powerful GPUs can be used for processing and analyzing satellite imagery and data. According to Lonstein, the chipmaker’s AI chips can enhance image processing, anomaly detection, and predictive analytics for space missions. But there is a limit to reliance on technology in space operations as a safety benefit rather than added layer of risk.

“High dependency on automated systems can lead to catastrophic failures if those systems malfunction or encounter unexpected scenarios,” Lonstein said.

A single point of failure could compromise the entire mission. Moreover, extensive use of technology could be detrimental to human operators’ skills and knowledge, which might atrophy if not regularly exercised.

“This could lead to challenges in manual operation during emergencies or system failures,” Lonstein added.

Andreessen Horowitz's Katherine Boyle talks deregulating space

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Elon Musk’s X temporarily down for tens of thousands of users

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Elon Musk's X temporarily down for tens of thousands of users

Elon Musk looks on as U.S. President Donald Trump meets South African President Cyril Ramaphosa in the Oval Office of the White House in Washington, D.C., U.S., May 21, 2025.

Kevin Lamarque | Reuters

The Elon Musk-owned social media platform X experienced a brief outage on Saturday morning, with tens of thousands of users reportedly unable to use the site.

About 25,000 users reported issues with the platform, according to the analytics platform Downdetector, which gathers data from users to monitor issues with various platforms.

Roughly 21,000 users reported issues just after 8:30 a.m. ET, per the analytics platform.

The issues appeared to be largely resolved by around 9:55 a.m., when about 2,000 users were reporting issues with the platform.

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X did not immediately respond to CNBC’s request for comment. Additional information on the outage was not available.

Musk, the billionaire owner of SpaceX and Tesla, acquired X, formerly known as Twitter in 2022.

The site has had a number of widespread outages since the acquisition.

The site experienced another outage in March, which Musk attributed at the time to a “massive cyberattack.”

“We get attacked every day, but this was done with a lot of resources,” Musk wrote in a post at the time.

This is breaking news. Check back for updates

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Companies turn to AI to navigate Trump tariff turbulence

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Companies turn to AI to navigate Trump tariff turbulence

Artificial intelligence robot looking at futuristic digital data display.

Yuichiro Chino | Moment | Getty Images

Businesses are turning to artificial intelligence tools to help them navigate real-world turbulence in global trade.

Several tech firms told CNBC say they’re deploying the nascent technology to visualize businesses’ global supply chains — from the materials that are used to form products, to where those goods are being shipped from — and understand how they’re affected by U.S. President Donald Trump’s reciprocal tariffs.

Last week, Salesforce said it had developed a new import specialist AI agent that can “instantly process changes for all 20,000 product categories in the U.S. customs system and then take action on them” as needed, to help navigate changes to tariff systems.

Engineers at the U.S. software giant used the Harmonized Tariff Schedule, a 4,400-page document of tariffs on goods imported to the U.S., to inform answers generated by the agent.

“The sheer pace and complexity of global tariff changes make it nearly impossible for most businesses to keep up manually,” Eric Loeb, executive vice president of government affairs at Salesforce, told CNBC. “In the past, companies might have relied on small teams of in-house experts to keep pace.”

Firms say that AI systems are enabling them to take decisions on adjustments to their global supply chains much faster.

Andrew Bell, chief product officer of supply chain management software firm Kinaxis, said that manufacturers and distributors looking to inform their response to tariffs are using his firm’s machine learning technology to assess their products and the materials that go into them, as well as external signals like news articles and macroeconomic data.

“With that information, we can start doing some of those simulations of, here is a particular part that is in your build material that has a significant tariff. If you switched to using this other part instead, what would the impact be overall?” Bell told CNBC.

‘AI’s moment to shine’

Trump’s tariffs list — which covers dozens of countries — has forced companies to rethink their supply chains and pricing, with the likes of Walmart and Nike already raising prices on some products. The U.S. imported about $3.3 trillion of goods in 2024, according to census data.

Uncertainty from the U.S. tariff measures “actually probably presents AI’s moment to shine,” Zack Kass, a futurist and former head of OpenAI’s go-to-market strategy, told CNBC’s Silvia Amaro at the Ambrosetti Forum in Italy last month.

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“If you wonder how hard things could get without AI vis-a-vis automation, and what would happen in a world where you can’t just employ a bunch of people overnight, AI presents this alternative proposal,” he added.

Nagendra Bandaru, managing partner and global head of technology services at Indian IT giant Wipro, said clients are using the company’s agentic AI solutions “to pivot supplier strategies, adjust trade lanes, and manage duty exposure dynamically as policy landscapes evolve.”

Wipro says it uses a range of AI systems — both proprietary and supplied by third parties — from large language models to traditional machine learning and computer vision techniques to inspect physical assets in cross-border transit.

‘Not a silver bullet’

While it preferred to keep company names confidential, Wipro said that firms using its AI products to navigate Trump’s tariffs range from a Fortune 500 electronics manufacturer with factories in Asia to an automotive parts supplier exporting to Europe and North America.

“AI is a powerful enabler — but not a silver bullet,” Bandaru told CNBC. “It doesn’t replace trade policy strategy, it enhances it by transforming global trade from a reactive challenge into a proactive, data-driven advantage.”

AI was already a key investment priority for global firms prior to Trump’s sweeping tariff announcements on April. Nearly three-quarters of business leaders ranked AI and generative AI in their top three technologies for investment in 2025, according to a report by Capgemini published in January.

“There are a number of ways AI can assist companies dealing with the tariffs and resulting uncertainty.  But any AI solution’s success will be predicated on the quality of the data it has access to,” Ajay Agarwal, partner at Bain Capital Ventures, told CNBC.

The venture capitalist said that one of his portfolio companies, FourKites, uses supply chain network data with AI to help firms understand the logistics impacts of adjusting suppliers due to tariffs.

“They are working with a number of Fortune 500 companies to leverage their agents for freight and ocean to provide this level of visibility and intelligence,” Agarwal said.

“Switching suppliers may reduce tariffs costs, but might increase lead times and transportation costs,” he added. “In addition, the volatility of the tariffs [has] severely impacted the rates and capacity available in both the ocean and the domestic freight networks.”

WATCH: Former OpenAI exec says tariffs ‘present AI’s moment to shine’

Former OpenAI exec says tariffs 'present AI's moment to shine'

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Amazon’s Zoox robotaxi unit issues second software recall in a month after San Francisco crash

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Amazon's Zoox robotaxi unit issues second software recall in a month after San Francisco crash

A Zoox autonomous robotaxi in San Francisco, California, US, on Wednesday, Dec. 4, 2024.

David Paul Morris | Bloomberg | Getty Images

Amazon‘s Zoox robotaxi unit issued a voluntary recall of its software for the second time in a month following a recent crash in San Francisco.

On May 8, an unoccupied Zoox robotaxi was turning at low speed when it was struck by an electric scooter rider after braking to yield at an intersection. The person on the scooter declined medical attention after sustaining minor injuries as a result of the collision, Zoox said.

“The Zoox vehicle was stopped at the time of contact,” the company said in a blog post. “The e-scooterist fell to the ground directly next to the vehicle. The robotaxi then began to move and stopped after completing the turn, but did not make further contact with the e-scooterist.”

Zoox said it submitted a voluntary software recall report to the National Highway Traffic Safety Administration on Thursday.

A Zoox spokesperson said the notice should be published on the NHTSA website early next week. The recall affected 270 vehicles, the spokesperson said.

The NHTSA said in a statement it had received the recall notice and that the agency “advises road users to be cautious in the vicinity of vehicles because drivers may incorrectly predict the travel path of a cyclist or scooter rider or come to an unexpected stop.”

If an autonomous vehicle continues to move after contact with any nearby vulnerable road user, it risks causing harm or further harm. In the AV industry, General Motors-backed Cruise exited the robotaxi business after a collision in which one of its vehicles injured a pedestrian who had been struck by a human-driven car and was then rolled over by the Cruise AV.

Zoox’s May incident comes roughly two weeks after the company announced a separate voluntary software recall following a recent Las Vegas crash. In that incident, an unoccupied Zoox robotaxi collided with a passenger vehicle, resulting in minor damage to both vehicles.

The company issued a software recall for 270 of its robotaxis in order to address a defect with its automated driving system that could cause it to inaccurately predict the movement of another car, increasing the “risk of a crash.”

Amazon acquired Zoox in 2020 for more than $1 billion, announcing at the time that the deal would help bring the self-driving technology company’s “vision for autonomous ride-hailing to reality.”

While Zoox is in a testing and development stage with its AVs on public roads in the U.S., Alphabet’s Waymo is already operating commercial, driverless ride-hailing services in Phoenix, San Francisco, Los Angeles and Austin, Texas, and is ramping up in Atlanta.

Tesla is promising it will launch its long-delayed robotaxis in Austin next month, and, if all goes well, plans to expand after that to San Francisco, Los Angeles and San Antonio, Texas.

— CNBC’s Lora Kolodny contributed to this report.

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Tesla's decade-long journey to robotaxis

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