Tech
AI Voice Scam Impersonates Top US Official, Raises Alarm Over Emerging Cyber Threats
A scammer using artificial intelligence to impersonate U.S. Secretary of State Marco Rubio managed to deceive multiple high-level officials, sparking fresh concerns over the growing threat of AI-driven fraud.
The voice-based scam targeted three foreign ministers, a U.S. governor, and a member of Congress through encrypted messages on the Signal app, according to a report first published by The Washington Post. The unidentified perpetrator used AI-generated audio and text to pose as Rubio, a key figure in President Donald Trump’s administration.
U.S. authorities believe the impersonator aimed to manipulate the officials to gain access to sensitive information or accounts. While the exact motive remains unclear, the incident highlights how quickly voice-cloning technology is being weaponised.
AI-generated fraud is becoming increasingly common. According to a recent survey by Starling Bank, 28% of UK adults believe they have been targeted by AI scams. One of the most concerning trends is voice cloning, where scammers use a few seconds of audio—often lifted from social media—to recreate someone’s voice and craft convincing fake messages.
“Scammers can replicate speech patterns, accents, and even breathing, making it sound exactly like someone you trust,” explained cybersecurity experts from Australia’s Charles Sturt University.
The U.S. Federal Bureau of Investigation (FBI) has issued repeated warnings about such tactics, which often begin with smishing (text-based phishing) or vishing (voice-based phishing). The scammer may ask the target to switch to another platform or provide links with fake credentials to appear authentic.
To guard against such fraud, experts urge caution. The FBI recommends verifying unexpected voice messages or calls, even from known contacts. “If you get a suspicious call or message, call the person back using a number you already have on record,” the agency advises.
Cybersecurity specialists Matthew Wright and Christopher Schwartz from the University of Rochester say it’s vital to remain aware of your emotional and cognitive biases, which scammers often exploit.
The FBI also suggests being careful about what personal information you post online — including names, birthdays, or pet names — as these can be used to build convincing impersonations. Subtle changes in tone, vocabulary, or contact details can signal a scam.
Setting a secret word or phrase with close contacts is one way to verify identity in uncertain situations. Caller ID, experts warn, should not be trusted alone, as it can easily be spoofed by advanced software.
The incident serves as a stark reminder of the growing risks posed by unregulated AI technology. As tools become more powerful, authorities and users alike are urged to adopt stricter safeguards to protect against deception and misuse.
Tech
Global Rights Groups Call for AI Companies to Be Held Responsible for Children’s Safety
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
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