FTC says Amazon misused legal privilege to dodge scrutiny

Federal regulators have accused Amazon of deliberately concealing incriminating evidence in an ongoing antitrust case by abusing privilege claims. The Federal Trade Commission (FTC) said Amazon wrongly withheld nearly 70,000 documents, withdrawing 92% of its claims after a judge forced a re-review.

The FTC claims Amazon marked non-legal documents as privileged to keep them from scrutiny. Internal emails suggest staff were told to mislabel communications by including legal teams unnecessarily.

One email reportedly called former CEO Jeff Bezos the ‘chief dark arts officer,’ referring to questionable Prime subscription tactics.

The documents revealed issues such as widespread involuntary Prime sign-ups and efforts to manipulate search results in favour of Amazon’s products. Regulators said these practices show Amazon intended to hide evidence rather than make honest errors.

The FTC is now seeking a 90-day extension for discovery and wants Amazon to cover the additional legal costs. It claims the delay and concealment gave Amazon an unfair strategic advantage instead of allowing a level playing field.

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Meta brings back Robert Fergus to lead AI lab

Meta Platforms has brought back Robert Fergus to lead its AI research lab, FAIR, which he helped found in 2014 alongside Yann LeCun. After spending five years as a research director at Google’s DeepMind, Fergus returns to replace Joelle Pineau, who steps down on 30 May.

Fergus, who previously spent six years as a research scientist at Facebook, announced his return on LinkedIn, expressing gratitude to Pineau and reaffirming Meta’s long-term commitment to AI.

FAIR, Meta’s Fundamental AI Research division, focuses on innovations such as voice translation and image recognition to support its open-source Llama language model.

The move comes as Meta ramps up its AI investment, with CEO Mark Zuckerberg allocating up to $65 billion in capital spending for 2025 to expand the company’s AI infrastructure.

AI is now deeply integrated into Meta’s services, including Facebook, Instagram, Messenger, WhatsApp, and a new standalone app meant to rival OpenAI.

By bringing Fergus back instead of appointing a new outsider, Meta signals its intent to build on its existing AI legacy while pushing further toward human-level machine experiences.

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Microsoft bans DeepSeek app for staff use

Microsoft has confirmed it does not allow employees to use the DeepSeek app, citing data security and propaganda concerns.

Speaking at a Senate hearing, company president Brad Smith explained the decision stems from fears that data shared with DeepSeek could end up on Chinese servers and be exposed to state surveillance laws.

Although DeepSeek is open source and widely available, Microsoft has chosen not to list the app in its own store.

Smith warned that DeepSeek’s answers may be influenced by Chinese government censorship and propaganda, and its privacy policy confirms data is stored in China, making it subject to local intelligence regulations.

Interestingly, Microsoft still offers DeepSeek’s R1 model via its Azure cloud service. The company argued this is a different matter, as customers can host the model on their servers instead of relying on DeepSeek’s infrastructure.

Even so, Smith admitted Microsoft had to alter the model to remove ‘harmful side effects,’ although no technical details were provided.

While Microsoft blocks DeepSeek’s app for internal use, it hasn’t imposed a blanket ban on all chatbot competitors. Apps like Perplexity are available in the Windows store, unlike those from Google.

The stance against DeepSeek marks a rare public move by Microsoft as the tech industry navigates rising tensions over AI tools with foreign links.

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LockBit ransomware platform breached again

LockBit, one of the most notorious ransomware groups of recent years, has suffered a significant breach of its dark web platform. Its admin and affiliate panels were defaced and replaced with a message linking to a leaked MySQL database, seemingly exposing sensitive operational details.

The message mocked the gang with the line ‘Don’t do crime CRIME IS BAD xoxo from Prague,’ raising suspicions of a rival hacker or vigilante group behind the attack.

The leaked database, first flagged by a threat actor known as Rey, contains 20 tables revealing details about LockBit’s affiliate network, tactics, and operations. Among them are nearly 60,000 Bitcoin addresses, payload information tied to specific targets, and thousands of extortion chat messages.

A ‘users’ table lists 75 affiliate and admin identities, many with passwords stored in plain text—some comically weak, like ‘Weekendlover69.’

While a LockBit spokesperson confirmed the breach via Tox chat, they insisted no private keys were exposed and that losses were minimal. However, the attack echoes a recent breach of the Everest ransomware site, suggesting the same actor may be responsible.

Combined with past law enforcement actions—such as Operation Cronos, which dismantled parts of LockBit’s infrastructure in 2024—the new leak could harm the group’s credibility with affiliates.

LockBit has long operated under a ransomware-as-a-service model, providing malware to affiliates in exchange for a cut of ransom profits. It has targeted both Linux and Windows systems, used double extortion tactics, and accounted for a large share of global ransomware attacks in 2022.

Despite ongoing pressure from authorities, the group has continued its operations—though this latest breach could prove harder to recover from.

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Gemini Nano boosts scam detection on Chrome

Google has released a new report outlining how it is using AI to better protect users from online scams across its platforms.

The company says AI is now actively fighting scams in Chrome, Search and Android, with new tools able to detect and neutralise threats more effectively than before.

At the heart of these efforts is Gemini Nano, Google’s on-device AI model, which has been integrated into Chrome to help identify phishing and fraudulent websites.

The report claims the upgraded systems can now detect 20 times more harmful websites, many of which aim to deceive users by creating a false sense of urgency or offering fake promotions. These scams often involve phishing, cryptocurrency fraud, clone websites and misleading subscriptions.

Search has also seen major improvements. Google’s AI-powered classifiers are now better at spotting scam-related content before users encounter it. For example, the company says it has reduced scams involving fake airline customer service agents by over 80 per cent, thanks to its enhanced detection tools.

Meanwhile, Android users are beginning to see stronger safeguards as well. Chrome on Android now warns users about suspicious website notifications, offering the choice to unsubscribe or review them safely.

Google has confirmed plans to extend these protections even further in the coming months, aiming to cover a broader range of online threats.

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OpenAI launches data residency in India for ChatGPT enterprise

OpenAI has announced that enterprise and educational customers in India using ChatGPT can now store their data locally instead of relying on servers abroad.

The move, aimed at complying with India’s upcoming data localisation rules under the Digital Personal Data Protection Act, allows conversations, uploads, and prompts to remain within the country. Similar options are now available in Japan, Singapore, and South Korea.

Data stored under this new residency option will be encrypted and kept secure, according to the company. OpenAI clarified it will not use this data for training its models unless customers choose to share it.

The change may also influence a copyright infringement case against OpenAI in India, where the jurisdiction was previously questioned due to foreign server locations.

Alongside this update, OpenAI has unveiled a broader international initiative, called OpenAI for Countries, as part of the US-led $500 billion Stargate project.

The plan involves building AI infrastructure in partner countries instead of centralising development, allowing nations to create localised versions of ChatGPT tailored to their languages and services.

OpenAI says the goal is to help democracies develop AI on their own terms instead of adopting centralised, authoritarian systems.

The company and the US government will co-invest in local data centres and AI models to strengthen economic growth and digital sovereignty across the globe.

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CrowdStrike cuts jobs amid AI shift

Cybersecurity firm CrowdStrike is laying off 500 employees—5% of its workforce—as it shifts towards an AI-led operating model to boost efficiency and hit a $10 billion annual revenue goal.

In a letter to staff, CEO George Kurtz described AI as a ‘force multiplier’ meant to reduce hiring needs instead of expanding headcount.

The restructure, expected to cost up to $53 million through mid-2026, will still see hiring in customer-facing and engineering roles.

Yet despite its optimism, the company’s regulatory filings flag notable risks in depending on AI, such as faulty outputs, legal uncertainty, and the challenge of managing fast-moving systems. Analysts have also linked the shift to wider market pressures, not merely strategic innovation.

Principal analyst Sofia Ali warned that the AI-first approach may backfire if transparency, governance, and human oversight are not prioritised. Over-reliance on automation—especially in threat detection or customer support—could erode user trust instead of reinforcing it, particularly during critical incidents.

CrowdStrike’s move mirrors a broader tech trend: over 52,000 tech jobs were cut in early 2025 as firms embraced AI to replace automatable roles. For cybersecurity leaders, the challenge now lies in balancing AI’s promise with the human expertise essential to trust and resilience.

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Musk denies OpenAI’s sabotage claims in court battle

Elon Musk has denied accusations from OpenAI that he is waging a campaign to undermine the startup, asserting that his legal actions are justified.

In a recent court filing, Musk’s lawyer dismissed claims that he used lawsuits, social media and press attacks to sabotage OpenAI, stating the real issue lies in the company’s alleged abandonment of its original nonprofit mission.

Musk’s attorney argued that this move fails to address concerns about OpenAI prioritising profit over its charitable goals, labelling the nonprofit structure an ‘inconvenience’ to CEO Sam Altman’s ambitions.

The US legal battle, set for trial in March 2026, stems from Musk’s accusations that OpenAI strayed from its founding principles after taking significant investment from Microsoft.

Meanwhile, OpenAI has countersued, claiming Musk is actively working to harm the company and its relationships with investors and customers.

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Indian stock exchanges curb foreign access amid cybersecurity concerns

India’s two largest stock exchanges, the National Stock Exchange (NSE) and BSE Ltd, have temporarily restricted overseas access to their websites amid rising concerns over cyber threats. The move does not affect foreign investors’ ability to trade on Indian markets.

Sources familiar with the matter confirmed the decision followed a joint meeting between the exchanges, although no recent direct attack has been specified.

Despite the restrictions, market operations remain fully functional, with officials emphasising that the measures are purely preventive.

The precautionary step comes during heightened regional tensions between India and Pakistan, though no link to the geopolitical situation has been confirmed. The NSE has yet to comment publicly on the situation.

A BSE spokesperson noted that the exchanges are monitoring cyber risks both domestically and internationally and that website access is now granted selectively to protect users and infrastructure.

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Palantir and partners promise rapid AI deployment in banking

Palantir Technologies, xAI, and TWG Global have announced a new partnership aimed at accelerating the adoption of artificial intelligence across the financial services industry. The initiative promises faster deployment and measurable results within just 90 days.

The collaboration seeks to help financial institutions integrate AI into their core operations. As financial institutions strive to modernise, the companies aim to overcome what they call the ‘agentic tech debt bubble’ and deliver real, scalable value.

The offering combines Palantir’s platform, xAI’s advanced language models, and TWG Global’s operational expertise, including a Governance Foundation for data readiness and a suite of AI-driven tools.

TWG Global will lead implementation efforts, focusing on involving senior executives directly to ensure AI integration becomes a central business strategy rather than a sidelined tech project. The partnership builds on an earlier venture between Palantir and TWG Global.

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