NTT Docomo Global expanded its work with Accenture and AWS to build infrastructure for enterprise agentic AI focused on governance and ensuring trust in systems.

The collaboration is set to centre on further developing the NTT unit’s Universal Wallet Infrastructure (UWI), a platform developed with Accenture to manage digital identity, credentials, money and documents across different apps, wallets and services.

Under the latest pact, NTT will provide the UWI trust infrastructure layer, while Accenture will bring technology strategy, digital assets and product engineering. AWS will contribute cloud and AI services.

NTT stated the expanded work targets a growing governance gap as AI agents increasingly write and modify code across development environments. It argued traditional security and software supply chain approaches were not built to monitor autonomous systems operating continuously at scale.

The partners plan to embed identity, credential and policy controls into workflows, allowing AI actions to be verified, governed and audited. The focus is initially on software development, though the companies are eyeing broader enterprise applications.

The trio will also carry out joint go-to-market activities including customer workshops, product showcases and educational sessions.

NTT Docomo Global CEO Hiroki Kuriyama said “the next chapter of AI will depend on whether people, enterprises, and society can trust how intelligent systems behave and interact”.

AWS MD Asia Pacific, Japan and China Jaime Valles added customers want to move quickly with agentic AI, but need “trust and governance built in from day one”.

The post NTT Docomo taps Accenture, AWS for AI governance platform appeared first on Mobile World Live.

Anthropic raised $65 billion in its latest funding round, taking its valuation to $965 billion as investor money continues to pour into big name AI companies.

Financial Times reported Anthropic’s valuation overtook OpenAI’s following the round.

Anthropic plans to use the latest funds to advance “safety and interpretability research, expand compute to meet growing demand” for AI assistant Claude “and scale the products and partnerships our customers rely on”.

The financing was led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital. Other investors include private equity funds and the company’s partners. The $65 billion includes $15 billion in previously-committed cash from so-called hyperscale companies.  

Micron Technology, Samsung and SK Hynix, which Anthropic describes as “strategic infrastructure partners”, were also among the lengthy list of backers.

Cash
As with peers in the AI boom, the company is no stranger to funding rounds amounting to multiple billions of dollars.

In February, it raised $30 billion, which brought its valuation at the time to $380 billion.

Anthropic noted since that round, its Claude AI offering gained further traction with enterprises around the globe and across a range of industries, with its run-rate revenue crossing the $47 billion mark this month.

The post Anthropic approaches $1T valuation appeared first on Mobile World Live.

IoT specialist Wiliot expanded work with AT&T Business to boost its position in the physical AI field by tapping the US-based operator’s connectivity, device relationships and general expertise in data handling.

Wiliot is seeking to broaden its position in physical AI for enterprise supply chains and believes AT&T has the network connectivity, device relationships and ability in employing data to do so.

“Physical AI depends on continuous data” from the real world, VP of marketing Amir Khoshniyati said.

Deepening ties with AT&T improves Wiliot’s “ability to deploy and operate physical AI networks across large, distributed environments”.

The company is pitching a platform which handles sensing and intelligence, employing real-time data from dedicated devices. AT&T is tasked with delivering the network infrastructure, mobile connectivity and execution elements.

Certification of Wiliot gateway devices on AT&T’s network is also underway, as the company seeks more direct connectivity and standardised deployments for the enterprise space.

Wiliot stated the companies embarked on a systems integration collaboration late in 2025 covering core deployments and operational capabilities. The operator is also handling various design, installation, asset tagging and maintenance aspects.

Lee Wagner, area VP for AT&T, explained enterprises “need actionable data from the physical world” and the companies are “adding visibility at the case and asset level” to provide a fresh range of services.

Work already undertaken in retail, food and beverage, and some restaurant sectors delivered inventory accuracy improvements of 99%, Wiliot stated.

It also highlighted improvements in the time taken to ship goods to storage, a reduction in the number of staff required in receiving items and greater shipment accuracy.

The post Wiliot, AT&T make physical AI move appeared first on Mobile World Live.

Meta Platforms prepared to test paid plans for its AI services and expand availability of subscriptions for WhatsApp, Instagram and Facebook, as the technology giant looks to diversify revenue streams during a period of heavy spending.

Naomi Gleit, Meta’s head of product, explained in an Instagram video the company is “starting to roll out Facebook Plus, Instagram Plus and WhatsApp Plus with enhanced features”.

She added users accessing Meta AI will be given “more to work with, more capacity, bigger, more complex requests, and more room to create for businesses and creators”.

Bloomberg reported the social media giant will trial two consumer AI subscription tiers from next month in Singapore, Guatemala and Bolivia, while retaining a free version of the Meta AI app and website.

Meta One Plus will apparently cost $7.99 a month and target users who regularly generate AI images and videos or make heavy use of reasoning features, while Meta One Premium will be around $20 and offer the same tools but with higher usage limits.

Specific products for businesses and creators, Meta One Essential and Meta One Advanced, are also set to be offered.

WhatsApp, Instagram and Facebook offerings will be priced at around $2.99 to $3.99 a month depending on the market, Bloomberg reported. Users paying for Meta AI will gain access to those app-specific benefits.

“We’re offering premium tools that allow you to enhance presence, supercharge content, automate tasks and protect your brand” Gleit said, adding “eventually we see Meta One as the one place that brings our subscriptions together across all of our apps”.

The trials are Meta’s first attempt to charge consumers for AI features. Rivals OpenAI and Google already offer paid chatbot subscriptions.

Its move to generate subscription revenue comes during an aggressive AI investment drive.

Meta is pumping more than $10 billion into building a massive data centre campus in the US state of Indiana. Last month, the company also raised its capex forecast for 2026 to between $125 billion and $145 billion to fund AI infrastructure plans.

The post Meta adds paid tier for social media apps, eyes AI revenue appeared first on Mobile World Live.

A report by Telus Digital exposed significant security vulnerabilities across the generative AI landscape, which included finding every major model could be coaxed into unsafe behaviour under the right conditions.

In the company’s second GenAI Safety Model Benchmark, Telus Digital’s testing found some models engaged with harmful requests more than 90% of the time and stated most enterprises are dangerously underprepared to defend against them.

The testing drew on more than 620,000 adversarial tests across 34 AI models from 10 global providers: Anthropic, OpenAI, Google, Meta, Alibaba, Baidu, ByteDance, Zhipu AI, 01.AI and Mistral.

It is the most extensive AI security study Telus Digital has conducted to date, nearly doubling the scope of the first edition published in November 2025.

Attack vulnerability rates across tested models ranged from 1.3% to 93%, where a lower percentage means a safer model. 

Anthropic’s Claude models claimed five of the 10 lowest vulnerability scores, including the benchmark’s overall lowest rate, but Telus Digital noted even single-digit failure rates are unacceptable in high-stakes enterprise contexts involving money, health and reputation.

The research identified model size, reasoning capability and the creator’s overall safety approach as the strongest predictors of resilience.

Reasoning models, designed to deliberate before responding, proved significantly harder to exploit, with a 19.9% vulnerability rate compared to 55.1% for standard models which skip the reasoning step.

Smaller models are consistently the most susceptible to attacks, regardless of whether they are open-source or proprietary. The study found open source models are not inherently less safe than closed ones, with GLM 4.7 from China’s Zhipu AI outperforming many proprietary alternatives.

The benchmark also highlighted where risks cluster most sharply: privacy exploitation, fraud and cybersecurity threats remain the hardest categories for even leading models to handle.

Telus Digital also flagged a pattern called “refuse-but-engage,” where a model declines a harmful request but still provides related information which could cause harm or reputational damage.

Global AI spending is projected to reach $2.52 trillion in 2026, yet spending on AI trust, risk, and security management is projected to be just $3.4 billion, which is roughly $1 in security for every $735 spent on AI capabilities.

Meanwhile, 86% of organisations report having already experienced an AI-related security incident.

Telus Digital urges enterprises to move beyond one-time or periodic safety checks toward continuous, automated adversarial testing embedded directly into development workflows, layered with human oversight and clean data practices.

The post Telus Digital research reveals safety gaps across AI models appeared first on Mobile World Live.