Optus Outage Causes Chaos in Australia before Services Restored

Australian communications company Optus was hit by a major service outage on Wednesday. Saeed KHAN / AFP
Australian communications company Optus was hit by a major service outage on Wednesday. Saeed KHAN / AFP
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Optus Outage Causes Chaos in Australia before Services Restored

Australian communications company Optus was hit by a major service outage on Wednesday. Saeed KHAN / AFP
Australian communications company Optus was hit by a major service outage on Wednesday. Saeed KHAN / AFP

An outage at No.2 Australian telco Optus left nearly half the population without internet or phone on Wednesday, throwing payment, transport and health systems into chaos and raising questions about the fragility of the country's core infrastructure.
The outage was first reported about 4 a.m. local time (1700 GMT on Tuesday) and it was not until almost 5.30 p.m. that Optus said services had been restored, Reuters reported.
Some 10 million Australians, 40% of the population, are Optus customers and could not use smartphones, broadband internet or landlines for much of the day.
Hospitals couldn't take phone calls, small businesses were unable to process electronic payments and train networks and ride share services were down simultaneously in some cities.
The incident sparked criticism about the robustness of Australia's telecommunications network and in particular about Optus, which is owned by Singapore Telecommunications.
"Customers are clearly frustrated about it and Optus should respond to that accordingly," said Communications Minister Michelle Rowland.
No cause of the failure was given but "it has occurred deep within the network (and) it has wide ramifications across mobile, fixed, and broadband services for Optus customers", Rowland added.
Optus reported one of the country's biggest cyber breaches 14 months ago, but CEO Kelly Bayer Rosmarin said she did not believe the latest outage was the result of a hack.
"I mean, it's highly unlikely. Our systems are actually very stable," she said. "This is a very, very rare occurrence."
Under laws introduced in the fallout of the 2022 Optus cyber attack, Australian companies must report to the government within 72 hours if they believe they have experienced a cyber attack.
Industry analyst Paul Budde said the incident showed telecoms companies should be required to accept customers from rival carriers on their networks in emergencies - a reform he said the industry had long resisted.
"These networks aren't just commercial operations," he said in a blogpost. "They are vital infrastructure for our society and economy. Protecting the national interest in the face of serious network failures is paramount."
Parent company SingTel said earlier this year that after the cyber attack Optus made several investments to lift its capabilities and provide additional protection for customers. In a short statement, SingTel confirmed the incident without explanation and noted Optus had apologized.
SingTel shares were down 4.8% on the Singapore stock market.
CUT OFF & FRUSTRATED
Chaos ensued as almost half of Australia was disconnected, one of the biggest network outages the country has witnessed.
"Without my phone I pretty much can't do anything. I'm looking for a bank, and when you can't go onto your phone and Google pretty much you are lost," said Angela Ican, a security officer, in Sydney's central business district.
Melbourne's train networks were forced to shut down for about 30 minutes due to the outage, resulting in delays during the morning rush, media reported.
Hospitals and emergency services across the country were also affected. No. 1 private hospital owner Ramsay Health Care said phone services to its 70 hospitals and clinics were impacted. Emergency triple zero ("000") calls were not working from Optus landlines.
Banking services, including some ATMs using Optus, were also impacted. Commonwealth Bank, the country's biggest lender, said some customers may encounter difficulties with its services.
"Maybe this incident will cause us to have a closer look at how we want to run this critical national infrastructure across multiple private companies," said Bill Corcoran, an Australian Research Council Future Fellow at Monash University.



Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
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Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)

Italy's antitrust authority (AGCM) on Wednesday ordered Meta Platforms to suspend contractual terms ​that could shut rival AI chatbots out of WhatsApp, as it investigates the US tech group for suspected abuse of a dominant position.

A spokesperson for Meta called the decision "fundamentally flawed," and said the emergence of AI chatbots "put a strain on our systems that ‌they were ‌not designed to support".

"We ‌will ⁠appeal," ​the ‌spokesperson added.

The move is the latest in a string by European regulators against Big Tech firms, as the EU seeks to balance support for the sector with efforts to curb its expanding influence.

Meta's conduct appeared capable of restricting "output, market ⁠access or technical development in the AI chatbot services market", ‌potentially harming consumers, AGCM ‍said.

In July, the ‍Italian regulator opened the investigation into Meta over ‍the suspected abuse of a dominant position related to WhatsApp. It widened the probe in November to cover updated terms for the messaging app's business ​platform.

"These contractual conditions completely exclude Meta AI's competitors in the AI chatbot services ⁠market from the WhatsApp platform," the watchdog said.

EU antitrust regulators launched a parallel investigation into Meta last month over the same allegations.

Europe's tough stance - a marked contrast to more lenient US regulation - has sparked industry pushback, particularly by US tech titans, and led to criticism from the administration of US President Donald Trump.

The Italian watchdog said it was coordinating with the European ‌Commission to ensure Meta's conduct was addressed "in the most effective manner".


Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.