Microsoft and CrowdStrike align naming of threat actors

Microsoft and CrowdStrike have announced a joint initiative to align their threat actor taxonomies, aiming to improve clarity and coordination in the fight against cyberattacks.

While the two cybersecurity giants are not creating a unified naming standard, they are publishing a cross-referenced mapping that shows how threat actors tracked by both companies correspond under their respective naming systems.

The inconsistency in threat actor names across the cybersecurity industry has long created confusion, often slowing response times and complicating collaboration between teams.

A single actor might be known as Midnight Blizzard by Microsoft, Cozy Bear by another firm, and APT29 or UNC2452 by others — all referring to the same group. This fragmentation of identifiers has made tracking and defending against threats more difficult.

To address this, Microsoft and CrowdStrike have released a reference document that maps common threat actors across both organisations’ taxonomies and includes aliases from other vendors.

The goal is to provide security teams with a clearer understanding of which groups are being discussed, regardless of the terminology used.

Although the mapping effort currently involves only Microsoft and CrowdStrike, other major players in the cybersecurity industry — including Google’s Mandiant and Palo Alto Networks’ Unit 42 — are expected to contribute to the initiative in the future.

‘Security is a shared responsibility, requiring community-wide efforts to improve defensive measures,’ said Vasu Jakkal, Corporate Vice President of Microsoft Security. ‘We are excited to be teaming up with CrowdStrike and look forward to others joining us on this journey.’

As more companies adopt this collaborative approach, experts believe it will enhance collective defence by making threat intelligence easier to interpret and act upon across the security ecosystem.

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Google’s AI Edge Gallery boosts privacy with on-device model use

Google has released an experimental app called AI Edge Gallery, allowing Android users to run AI models directly on their devices without needing an internet connection.

The app supports several publicly available models from Hugging Face, including Google’s own lightweight Gemma 3n, and offers tools for image generation, Q&A, and code assistance.

The key feature of the app is its local processing capability, which means data never leaves the user’s device.

This addresses rising concerns over privacy and data security, particularly when interacting with AI tools. By running models locally, users benefit from faster response times and greater control over their data.

AI Edge Gallery includes features such as ‘AI Chat,’ ‘Ask Image,’ and a ‘Prompt Lab,’ where users can experiment with tasks like text summarisation and single-turn AI interactions.

While the app is optimised for lighter models like Gemma 3—just 529MB in size—Google notes that performance will depend on the hardware of the user’s device, with more powerful phones delivering faster results.

Currently in Alpha, the app is open-source and available under the Apache 2.0 licence via GitHub, encouraging developers to explore and contribute. Google is also inviting feedback to shape future updates and improvements.

To enhance app security, especially as AI features become more embedded in mobile experiences, Google suggests integrating secure, passwordless login methods.

Solutions like MojoAuth—offering OTP-based logins via phone or email—can reduce risks of data breaches while offering a smooth, user-friendly authentication process.

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Agentic Intelligence set to automate complex tasks with human oversight

Thomson Reuters has unveiled a new AI platform, Agentic Intelligence, designed to automate complex workflows for professionals in tax, legal, and compliance sectors.

The platform integrates directly with existing professional tools, enabling AI to plan, reason, and act on tasks while maintaining audit trails and data control to meet regulatory standards.

A key component of the launch is CoCounsel for Tax, a tool aimed at tax, audit, and accounting professionals. It consolidates firm-specific data, internal knowledge, and regulatory materials into a unified workspace.

Early adopters have reported significant productivity gains, with one accounting firm, BLISS 1041, cutting time spent on residency and filing code reviews from several days to under an hour.

Agentic Intelligence leverages over 20 billion proprietary and public documents and is supported by a network of 4,500 subject matter experts.

Built on partnerships with OpenAI, Anthropic, Google Cloud, and AWS, the platform reflects Thomson Reuters’ strategic shift towards embedding AI across sectors traditionally dependent on manual expertise.

David Wong, chief product officer at Thomson Reuters, said the new platform represents more than a technological upgrade. ‘Agentic AI isn’t a marketing buzzword. It’s a new blueprint for how complex work gets done,’ he said.

‘These systems don’t just assist — they operate within professional workflows, break down tasks, act independently, and escalate where needed, all under human oversight.’

Following CoCounsel for Tax, the next product — Ready to Review — will focus on automating tax return preparation.

The platform is expected to expand into legal, compliance, and risk sectors throughout 2025, building on previous acquisitions such as Materia and Casetext, which have helped lay the foundation for Thomson Reuters’ AI-centric growth strategy.

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Musk’s xAI seeks billions to expand AI data centres

Elon Musk is raising $5 billion in debt for his AI company xAI Corp., in a move that signals a renewed focus on his business ventures after stepping away from a prominent political role.

Investment bank Morgan Stanley is leading the offering, which includes a floating-rate loan, a fixed-rate loan, and senior secured notes — all priced with double-digit interest rates, according to people familiar with the deal.

Proceeds will be used for general corporate purposes, including accelerating development of xAI’s infrastructure, such as its vast Memphis-based data centre, Colossus.

The site currently houses 200,000 GPUs and could soon expand to over one million as Musk ramps up efforts to train advanced AI models. The debt package has already attracted over $3.5 billion in early demand, with commitments due by 17 June.

Musk’s move to raise capital for xAI comes after a string of fundraising rounds across his companies, including $650 million for Neuralink and a $300 million secondary stock sale in xAI.

He has also merged xAI with his social media platform X into a new entity, XAI Holdings, further aligning his ventures in AI, communications, and computing.

Musk’s focus on his business empire follows a controversial period in politics. As a senior adviser and key backer of Donald Trump during the 2024 election, Musk faced scrutiny both personally and in relation to the performance of Tesla, whose stock has dropped 20% since the presidential inauguration.

Morgan Stanley’s continued involvement underscores the bank’s deep ties with Musk, having previously advised on his $44 billion acquisition of Twitter (now X).

While that deal initially left lenders with billions in risky debt, recent improvements in Musk’s business standing helped the bank clear the remaining liabilities earlier this year.

The latest xAI debt sale is another indicator of investor appetite for AI ventures, especially when tied to high-profile figures like Musk. If successful, it will also strengthen the infrastructure needed to support Musk’s vision of AI leadership through xAI and its associated platforms.

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OpenAI turns ChatGPT into AI gateway

OpenAI plans to reinvent ChatGPT as an all-in-one ‘super assistant’ that knows its users and becomes their primary gateway to the internet.

Details emerged from a partly redacted internal strategy document shared during the US government’s antitrust case against Google.

Rather than limiting ChatGPT to existing apps and websites, OpenAI envisions a future where the assistant supports everyday life—from suggesting recipes at home to taking notes at work or guiding users while travelling.

The company says the AI should evolve into a reliable, emotionally intelligent helper capable of handling a various personal and professional tasks.

OpenAI also believes hardware will be key to this transformation. It recently acquired io, a start-up founded by former Apple designer Jony Ive, for $6.4 billion to develop AI-powered devices.

The company’s strategy outlines how upcoming models like o2 and o3, alongside tools like multimodality and generative user interfaces, could make ChatGPT capable of taking meaningful action instead of simply offering responses.

The document also reveals OpenAI’s intention to back a regulation requiring tech platforms to allow users to set ChatGPT as their default assistant. Confident in its fast growth, research lead, and independence from ads, the company aims to maintain its advantage through bold decisions, speed, and self-disruption.

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WhatsApp fixes deleted message privacy gap

WhatsApp is rolling out a privacy improvement that ensures deleted messages no longer linger in quoted replies, addressing a long-standing issue that exposed partial content users had intended to remove.

The update applies automatically, with no toggle required, and has begun reaching iOS users through version 25.12.73, with wider availability expected soon.

Until now, deleting a message for everyone in a chat has not removed it from quoted replies. That allowed fragments of deleted content to remain visible, undermining the purpose of deletion.

WhatsApp removes the associated quoted message entirely instead of keeping it in conversation threads, even in group or community chats.

WABetaInfo, which first spotted the update, noted that users delete messages for privacy or personal reasons, and leave behind quoted traces conflicted with those intentions.

The change ensures conversations reflect user expectations by entirely erasing deleted content, not only from the original message but also from any references.

Meta continues to develop new features for WhatsApp. Recent additions include voice chat in groups and a native interface for iPad. The company is also testing tools like AI-generated wallpapers, message summaries, and more refined privacy settings to enhance user control and experience further.

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DeepSeek claims R1 model matches OpenAI

Chinese AI start-up DeepSeek has announced a major update to its R1 reasoning model, claiming it now performs on par with leading systems from OpenAI and Google.

The R1-0528 version, released following the model’s initial launch in January, reportedly surpasses Alibaba’s Qwen3, which debuted only weeks earlier in April.

According to DeepSeek, the upgrade significantly enhances reasoning, coding, and creative writing while cutting hallucination rates by half.

These improvements stem largely from greater computational resources applied after the training phase, allowing the model to outperform domestic rivals in benchmark tests involving maths, logic, and programming.

Unlike many Western competitors, DeepSeek takes an open-source approach. The company recently shared eight GitHub projects detailing methods to optimise computing, communication, and storage efficiency during training.

Its transparency and resource-efficient design have attracted attention, especially since its smaller distilled model rivals Alibaba’s Qwen3-235B while being nearly 30 times lighter.

Major Chinese tech firms, including Tencent, Baidu and ByteDance, plan to integrate R1-0528 into their cloud services for enterprise clients. DeepSeek’s progress signals China’s continued push into globally competitive AI, driven by a young team determined to offer high performance with fewer resources

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NSO asks court to overturn WhatsApp verdict

Israeli spyware company NSO Group has requested a new trial after a US jury ordered it to pay $168 million in damages to WhatsApp.

The company, which has faced mounting legal and financial troubles, filed a motion in a California federal court last week seeking to reduce the verdict or secure a retrial.

The May verdict awarded WhatsApp $444,719 in compensatory damages and $167.25 million in punitive damages. Jurors found that NSO exploited vulnerabilities in the encrypted platform and sold the exploit to clients who allegedly used it to target journalists, activists and political rivals.

WhatsApp, owned by Meta, filed the lawsuit in 2019.

NSO claims the punitive award is unconstitutional, arguing it is over 376 times greater than the compensatory damages and far exceeds the US Supreme Court’s general guidance of a 4:1 ratio.

The firm also said it cannot afford the penalty, citing losses of $9 million in 2023 and $12 million in 2024. Its CEO testified that the company is ‘struggling to keep our heads above water’.

WhatsApp, responding to TechCrunch in a statement, said NSO was once again trying to evade accountability. The company vowed to continue its legal campaign, including efforts to secure a permanent injunction that would prevent NSO from ever targeting WhatsApp or its users again.

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AI data centre boom sparks incentives and pushback

The explosive growth of AI and cloud computing has ignited a data centre building boom across the United States, with states offering massive financial incentives to attract investment.

However, electricity, and water is beginning to meet resistance from lawmakers and local communities concerned about long-term costs and environmental strain.

Dozens of states have rolled out tax exemptions, permitting fast-tracks, and deregulated energy options to lure hyperscale data centres—massive facilities consuming hundreds of megawatts of power.

Kansas, Kentucky, and Arkansas have expanded tax breaks, while Pennsylvania seeks to streamline permitting in hopes of capturing a share of the billions flowing into data infrastructure.

Other states, including West Virginia and Utah, have passed laws enabling data centres to bypass grid operators and buy power directly.

Supporters say data centres deliver high upfront spending and create thousands of construction jobs. However, critics argue the facilities offer few permanent positions, strain public utilities, and place an unfair burden on ratepayers to fund new power plants.

In South Carolina, lawmakers clashed over whether customers should be forced to underwrite infrastructure primarily serving a single tech company.

Meanwhile, some states are beginning to push back. Oregon and Georgia are exploring laws requiring data centres to pay the full cost of the electricity infrastructure they consume.

In Texas, where winter blackouts in 2021 exposed grid fragility, lawmakers are cautiously debating balancing power supply with growing AI and cloud demands amid fears the state could lose investment due to regulatory uncertainty.

As the demand for AI soars, so does the pressure to weigh economic opportunity against sustainability, transparency, and fairness in energy use. The data centre boom may be here to stay—but how states handle it could define their long-term digital and environmental futures.

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Microwave tech offers cleaner path to e-waste recovery

When your old phone or computer reaches the end of its life and heads off for recycling, most of its valuable materials—like steel, aluminium and copper—are recovered with ease. But hidden in its circuitry are tiny specks of rare metals such as gallium, indium and tantalum.

These are critical to modern technology but often lost in current recycling processes, ending up in landfills or repurposed in cement. That might be about to change.

Engineers at West Virginia University have developed a novel method using microwave technology to extract these rare materials more safely and efficiently.

Unlike conventional methods, which rely on toxic chemicals or are too costly to justify, this approach uses electromagnetic waves to target and heat carbon present in e-waste plastics. This creates a reaction with critical minerals, yielding nearly pure, sponge-like metals that can be easily filtered out.

Laboratory tests have already recovered around 80% of gallium, indium and tantalum from e-waste, with purities reaching up to 97%.

Backed by the United States Department of Defense, the researchers are preparing larger pilot projects using smartphones, LED lights and server boards—materials rich in these rare elements. If scaled successfully, the system could recover up to 50 pounds of critical minerals per ton of processed waste.

The urgency is clear. America recycles just 15% of its e-waste, and much of it is exported to countries with lax safety and environmental standards. Gallium alone can cost over $500 per kilogram—making it 50 times more expensive than copper.

The technology’s success could help shift the economics of recycling, turning discarded electronics into a domestic supply of essential materials and reducing reliance on imports from countries like China.

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