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Scammers use fake celebrities to steal millions in crypto fraud

Fraudsters increasingly pretend to be celebrities to deceive people into fake cryptocurrency schemes. Richard Lyons lost $10,000 after falling for a scam involving a fake Elon Musk, who used an AI-generated voice and images to make the investment offer appear authentic.

The FBI has highlighted a sharp rise in crypto scams during 2024, with billions lost as fraudsters pose as financial experts or love interests. Many scams involve fake websites that mimic legitimate investment platforms, showing false gains before stealing funds.

Lyons was shown a fake web page indicating his investment had grown to $50,000 before the scam was uncovered.

Experts warn that thorough research and caution are essential when approached online with investment offers. The FBI urges potential investors to consult trusted advisers and avoid sending money to strangers.

Blockchain firms like Lionsgate Network now offer rapid tracing of stolen crypto, although recovery is usually limited to high-value cases.

Lyons described the scam’s impact as devastating, leaving him struggling with everyday expenses. Authorities advise anyone targeted by similar frauds to report promptly for a better chance of recovery and protection.

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Groq opens AI data centre in Helsinki

Groq has opened its first European AI data centre in Helsinki, Finland, in collaboration with Equinix. The facility offers European users fast, secure, and low-latency AI inference services, aiming to improve performance and data governance.

The launch follows Groq’s existing partnership with Equinix, which already includes a site in Dallas. The new centre complements Groq’s global network, including facilities in the US, Canada and Saudi Arabia.

CEO Jonathan Ross stated the centre provides immediate infrastructure for developers building fast at scale. Equinix highlighted Finland’s reliable power and sustainable energy as key factors in the decision to host capacity there.

The data centre supports GroqCloud, delivering over 20 million tokens per second across its network. European businesses are expected to benefit from improved AI performance and operational efficiency.

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Court convicts duo in UK crypto fraud worth $2 million

A UK court has sentenced Raymondip Bedi and Patrick Mavanga to a combined 12 years in prison for a cryptocurrency fraud scheme that defrauded 65 victims of around $2 million. Between 2017 and 2019, the pair cold-called investors posing as advisers, which led them to fake crypto websites.

Bedi was sentenced to five years and four months, while Mavanga received six years and six months behind bars. Both operated under CCX Capital and Astaria Group LLP, deliberately bypassing financial regulations to extract illicit gains.

The scam targeted retail investors with little crypto experience, luring them with promises of high profits and misleading sales materials.

Victim impact statements revealed severe financial and emotional consequences. Some lost their life savings or fell into debt, and others developed mental health issues. Mavanga was also found guilty of hiding incriminating evidence during the investigation.

The Financial Conduct Authority (FCA) led the prosecution amid a heavy backlog of crypto fraud cases, exposing regulators’ challenges in enforcing laws.

The court encouraged victims to seek support and highlighted the need for vigilance against similar scams. While the prosecution offers closure for some, the lengthy process underscores the ongoing difficulties in policing the fast-evolving crypto market.

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Lithuania questions legality of Robinhood’s new tokens

Robinhood’s new blockchain tokens, which are tied to firms like SpaceX and OpenAI, are under EU scrutiny, with Lithuania’s central bank reviewing whether the product meets financial rules.

The tokens, introduced on 30 July, allow retail investors to gain exposure to high-profile private firms through digital assets. Although Robinhood offered a promotional giveaway to attract EU users, questions quickly arose over the product’s legal classification and how it was marketed to the public.

OpenAI has publicly stated it has no affiliation with Robinhood and has not authorised share transfers. Robinhood responded by confirming that the tokens do not represent actual equity but provide access to the value of private firms via non-equity instruments.

Regulators are now assessing whether the product meets compliance standards and whether investor information has been presented clearly and accurately. The central bank has requested further details before issuing a formal judgement.

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Ransomware gangs feud after M&S cyberattack

A turf war has erupted between two significant ransomware gangs, DragonForce and RansomHub, following cyberattacks on UK retailers including Marks and Spencer and Harrods.

Security experts warn that the feud could result in companies being extorted multiple times as criminal groups compete to control the lucrative ransomware-as-a-service (RaaS) market.

DragonForce, a predominantly Russian-speaking group, reportedly triggered the conflict by rebranding as a cartel and expanding its affiliate base.

Tensions escalated after RansomHub’s dark-web site was taken offline in what is believed to be a hostile move by DragonForce, prompting retaliation through digital vandalism.

Cybersecurity analysts say the breakdown in relationships between hacking groups has created instability, increasing the likelihood of future attacks. Experts also point to a growing risk of follow-up extortion attempts by affiliates when criminal partnerships collapse.

The rivalry reflects the ruthless dynamics of the ransomware economy, which is forecast to cost businesses $10 trillion globally by the end of 2025. Victims now face not only technical challenges but also the legal and financial fallout of navigating increasingly unpredictable criminal networks.

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How agentic AI is transforming cybersecurity

Cybersecurity is gaining a new teammate—one that never sleeps and acts independently. Agentic AI doesn’t wait for instructions. It detects threats, investigates, and responds in real-time. This new class of AI is beginning to change the way we approach cyber defence.

Unlike traditional AI systems, Agentic AI operates with autonomy. It sets objectives, adapts to environments, and self-corrects without waiting for human input. In cybersecurity, this means instant detection and response, beyond simple automation.

With networks more complex than ever, security teams are stretched thin. Agentic AI offers relief by executing actions like isolating compromised systems or rewriting firewall rules. This technology promises to ease alert fatigue and keep up with evasive threats.

A 2025 Deloitte report says 25% of GenAI-using firms will pilot Agentic AI this year. SailPoint found that 98% of organisations will expand AI agent use in the next 12 months. But rapid adoption also raises concern—96% of tech workers see AI agents as security risks.

The integration of AI agents is expanding to cloud, endpoints, and even physical security. Yet with new power comes new vulnerabilities—from adversaries mimicking AI behaviour to the risk of excessive automation without human checks.

Key challenges include ethical bias, unpredictable errors, and uncertain regulation. In sectors like healthcare and finance, oversight and governance must keep pace. The solution lies in balanced control and continuous human-AI collaboration.

Cybersecurity careers are shifting in response. Hybrid roles such as AI Security Analysts and Threat Intelligence Automation Architects are emerging. To stay relevant, professionals must bridge AI knowledge with security architecture.

Agentic AI is redefining cybersecurity. It boosts speed and intelligence but demands new skills and strong leadership. Adaptation is essential for those who wish to thrive in tomorrow’s AI-driven security landscape.

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US targets Southeast Asia to stop AI chip leaks to China

The US is preparing stricter export controls on high-end Nvidia AI chips destined for Malaysia and Thailand, in a move to block China’s indirect access to advanced GPU hardware.

According to sources cited by Bloomberg, the new restrictions would require exporters to obtain licences before sending AI processors to either country.

The change follows reports that Chinese engineers have hand-carried data to Malaysia for AI training after Singapore began restricting chip re-exports.

Washington suspects Chinese firms are using Southeast Asian intermediaries, including shell companies, to bypass existing export bans on AI chips like Nvidia’s H100.

Although some easing has occurred between the US and China in areas such as ethane and engine components, Washington remains committed to its broader decoupling strategy. The proposed measures will reportedly include safeguards to prevent regional supply chain disruption.

Malaysia’s Trade Minister confirmed earlier this year that the US had requested detailed monitoring of all Nvidia chip shipments into the country.

As the global race for AI dominance intensifies, Washington appears determined to tighten enforcement and limit Beijing’s access to advanced computing power.

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Ransomware disrupts Ingram Micro’s systems and operations

Ingram Micro has confirmed a ransomware attack that affected internal systems and forced some services offline. The global IT distributor says it acted quickly to contain the incident, implemented mitigation steps, and involved cybersecurity experts.

The company is working with a third-party firm to investigate the breach and has informed law enforcement. Order processing and shipping operations have been disrupted while systems are being restored.

While details remain limited, the attack is reportedly linked to the SafePay ransomware group.

According to BleepingComputer, the gang exploited Ingram’s GlobalProtect VPN to gain access last Thursday.

In response, Ingram Micro shut down multiple platforms, including GlobalProtect VPN and its Xvantage AI platform. Employees were instructed to work remotely as a precaution during the response effort.

SafePay first appeared in late 2024 and has targeted over 220 companies. It often breaches networks using password spraying and compromised credentials, primarily through VPNs.

Ingram Micro has not disclosed what data was accessed or the size of the ransom demand.

The company apologised for the disruption and said it is working to restore systems as quickly as possible.

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Pakistan launches AI customs system to tackle tax evasion

Pakistan has launched its first AI-powered Customs Clearance and Risk Management System (RMS) to cut tax evasion, reduce corruption, and modernise port operations by automating inspections and declarations.

The initiative, part of broader digital reforms, is led by the Federal Board of Revenue (FBR) with support from the Intelligence Bureau.

By minimising human involvement in customs procedures, the system enables faster, fairer, and more transparent processing. It uses AI and automated bots to assess goods’ value and classification, improve risk profiling, and streamline green channel clearances.

Early trials showed a 92% boost in system performance and more than double the efficiency in identifying compliant cargo.

Prime Minister Shehbaz Sharif praised the collaboration between the FBR and IB, calling the initiative a key pillar of national economic reform. He urged full integration of the system into the country’s digital infrastructure and reaffirmed tax reform as a government priority.

The AI system is also expected to close loopholes in under-invoicing and misdeclaration, which have long been used to avoid duties.

Meanwhile, video analytics technology is trialled to detect factory tax fraud, with early tests showing 98% accuracy. In recent enforcement efforts, authorities recovered Rs178 billion, highlighting the potential of data-driven approaches in tackling fiscal losses.

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Samsung profits slump as US chip ban hits AI exports

Samsung Electronics expects its second-quarter operating profits to exceed half, citing Washington’s export controls on advanced AI chips to China.

The company announced a projected 56% year-on-year drop in operating profit, falling to 4.6 trillion won ($3.3 billion), with revenue down 6.5% from the previous quarter.

The semiconductor division, a core part of Samsung’s business, suffered due to reduced utilisation and inventory value adjustments.

US restrictions have made it difficult for South Korea’s largest conglomerate to ship high-end chips to China, forcing some of its production lines to run below capacity.

Despite weak performance in the foundry sector, the memory business remained relatively stable. Analysts pointed to weaker-than-expected sales of HBM chips used for AI and a drop in NAND storage prices, while a declining won-dollar exchange rate further pressured earnings.

Looking ahead, Samsung expects a modest recovery as demand for memory chips, mainly from AI-driven data centres, improves in the year’s second half.

The company is also facing political pressure from Washington, with threats of new tariffs prompting talks between Seoul and the US administration.

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