US lifts curbs on Fable 5, Mythos 5, Anthropic restores access to AI models

US lifts curbs on Fable 5, Mythos 5, Anthropic restores access to AI models



Artificial intelligence major Anthropic has restored access to its advanced AI models, Fable 5 and Mythos 5, after the US government lifted export controls that abruptly halted access earlier this month over national security concerns.


Fable 5 will become available to users globally starting July 1 across Anthropic’s platforms, including Claude.ai and Claude Cowork, the company said in a blog post.


On the other hand, access to Mythos 5 resumed for select US organisations following government approval on June 26.


Anthropic said it is now coordinating with the US government to expand access to broader domestic and international partners under its Project Glasswing initiative.

 


“After a series of productive conversations with the US government, we’re redeploying the model (Fable 5) with a new set of classifiers to target and block more cybersecurity tasks.


“We’ve also begun drafting a consensus framework-with Amazon, Microsoft, Google, and other Glasswing partners-for assessing the severity of AI jailbreaks and how AI developers should respond to them,” Anthropic said in a post on X.


India is Anthropic’s second-largest market. The AI firm recently signed a deal with TCS to equip 50,000 employees with its models. It also announced a collaboration with Infosys to deploy advanced enterprise AI solutions using the Claude family of models.


Furthermore, select Indian government agencies and private firms were recently granted access to the Mythos model under a cybersecurity initiative called Project Glasswing, according to sources familiar with the matter.


The initial US directive followed the discovery of a jailbreak by Amazon researchers. This method bypassed Fable 5’s safeguards, prompting the model to identify software vulnerabilities and demonstrate how to exploit them.


To resolve the issue, Anthropic worked with the US government to train an “improved safety classifier” that targets and blocks the specific bypass technique in over 99 per cent of cases.


Anthropic said it is scaling up its collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse and dedicated resources for joint research.



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Ahead of BRICS forum, BMS outlines AI agenda centred on labour protections

Ahead of BRICS forum, BMS outlines AI agenda centred on labour protections



The Bharatiya Mazdoor Sangh (BMS) on Wednesday outlined the proposed work programme of the BRICS Trade Union Forum’s task force on artificial intelligence (AI), identifying workplace surveillance, automation-led job displacement, algorithmic management and labour protections for platform workers among the key issues it intends to address.

 


The proposals were presented at a conference on Human-Centric Technology & Artificial Intelligence: Implications for the Future of Work, organised by the BRICS Trade Union Forum in association with the Department of Economics at Shaheed Bhagat Singh College, University of Delhi. The development comes ahead of the 15th BRICS Trade Union Forum, which India will host in Hyderabad from 14 to 16 July under the presidency of BMS.

 
 


“The task force will produce a comprehensive set of outputs—from a common position paper to practical frameworks—ensuring that BRICS trade unions speak with one voice on technology and AI governance. Key recommendations will be included in the BRICS Trade Union Forum 2026 declaration and future work programme,” said Anish Mishra, task force chair for the BRICS Trade Union Forum, while addressing the conference.

 


The proposed work programme places worker participation in technology adoption and ethical, accountable AI systems at its core. Other priority areas include reskilling, equitable sharing of productivity gains from technological change, bridging the digital divide, and strengthening labour and social security protections for platform and gig workers.

 


Among the proposed deliverables are frameworks for worker participation during technological transitions, guidelines on the use of AI and workplace data, recommendations on reskilling, and mechanisms for coordination among BRICS trade unions on technology-related labour issues.

 


The task force also plans to prepare a common position paper on human-centric technology and AI and develop mechanisms for coordination among BRICS trade unions on issues arising from technological change.

 


According to the proposed structure, the task force will comprise representatives from BRICS trade union centres, subject experts in labour policy, artificial intelligence, the digital economy and skills development. It is expected to function through consensus-based decision-making and submit its recommendations to the BRICS Trade Union Forum.

 


BMS assumed the presidency of the BRICS Trade Union Forum earlier this year and has identified AI, skills development and social security as its priority areas for 2026. The Hyderabad meeting will bring together trade union representatives from BRICS member countries to discuss labour issues amid rapid technological change, with AI expected to be among the key themes.

 


The Rashtriya Swayamsevak Sangh (RSS)-backed Bharatiya Mazdoor Sangh, founded in 1955, is one of the central trade unions recognised by the Union labour ministry.

 



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Govt reviews WhatsApp username feature amid fraud, impersonation fears

Govt reviews WhatsApp username feature amid fraud, impersonation fears



The government is looking into WhatsApp’s planned username feature amid concerns it could be misused for impersonation and fraud, people familiar with the matter said. 


The government will assess potential risks, the sources said, adding that the Meta-owned platform’s latest announcement raises concerns. 


The feature may allow users to adopt usernames resembling those of bonafide agencies and other entities, potentially enabling impersonation and fraud, they said, adding that it could have adverse implications for public safety and society. 


The government will not compromise on national security or public safety, the sources added. 


Meta-owned messaging platform WhatsApp announced the introduction of usernames, a feature that will allow users to communicate without sharing their phone numbers. 

 


The company has opened early reservations for usernames, which will be officially rolled out later this year. 


“Starting this week, you can reserve a username to use later this year when we launch this feature,” WhatsApp said in a blog post.


According to the messaging platform, the move is aimed at enhancing user privacy, particularly in group chats or when connecting with new acquaintances, by eliminating the need to exchange phone numbers.



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Agentic AI may put 4 bn of SaaS spending at risk by 2030: Gartner

Agentic AI may put $234 bn of SaaS spending at risk by 2030: Gartner


Agentic artificial intelligence (AI) could put as much as $234 billion of enterprise application software spending at risk by 2030 as businesses increasingly rely on autonomous AI agents instead of employees directly using software, research and advisory firm Gartner said in a report on Tuesday.

 

The amount represents around 20 per cent of global enterprise software-as-a-service (SaaS) spending by the end of the decade, according to Gartner.

 


The firm said the disruption stems from what it calls “agentic arbitrage”—a shift in which AI agents perform tasks across multiple enterprise applications, reducing the need for users to interact with individual software interfaces.

 
 


“Agentic AI changes the economics of software,” said George Brocklehurst, managing vice-president at Gartner. “Agentic systems deliver outcomes directly, bypassing traditional user experience (UX)-heavy applications and making the software invisible. This breaks the link between user growth and revenue growth for many enterprise software vendors.”

 


The trend threatens the long-standing SaaS business model, under which vendors typically charge customers based on the number of employees using their software. If AI agents increasingly execute workflows on behalf of workers, enterprises may require fewer user licences.

 


This is less an apocalypse and more of a metamorphosis. SaaS will not be destroyed; it will emerge in a different form,” Gartner said.

 


It said the enterprise buyers are prioritising investments in AI systems that deliver measurable business outcomes, rather than purchasing feature-rich applications.

 

“As organisations increasingly use agentic AI systems, the user interface is no longer a differentiation,” said Brocklehurst. “Legacy SaaS market share will be cannibalised by incumbents and taken by new entrants delivering horizontal agentic platforms.”

 


The report said the software companies will need to embed agentic capabilities into their products, retain customer-specific knowledge and move towards outcome-based pricing to remain competent.



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Apple supplier leak raises questions beyond exposure of unreleased iPhone

Apple supplier leak raises questions beyond exposure of unreleased iPhone



Apple’s upcoming iPhone 18 Pro, still under development, has become the centre of a reported data leak involving India’s Tata Electronics. According to Reuters, files allegedly posted on the dark web by ransomware group World Leaks include confidential supplier lists, component maps, engineering documents and photographs related to the unreleased device. Reuters reported that Apple is investigating the incident with Tata Electronics, which has tightened internal controls and initiated a forensic audit.

 


The reported breach comes as India’s manufacturing sector faces growing cyber risks. According to the India Cyber Threat Report 2026 by Seqrite, manufacturing was among the three most-targeted industries, alongside education and healthcare, together accounting for nearly 47 per cent of all cyber threat detections.

 
 


The incident raises questions beyond the reported exposure of an unreleased iPhone. Why are supplier lists and engineering documents considered more sensitive than product images? And what does the breach reveal about the cyber risks facing India’s expanding electronics manufacturing ecosystem?


Why are supplier lists more sensitive than leaked iPhone images?


The latest Reuters report suggests the most sensitive aspect of the breach is not images of an unreleased iPhone but information that could reveal how Apple builds one. According to Reuters, newly reviewed documents include at least six files that map individual components in the iPhone 18 Pro to their respective suppliers. The documents reportedly include information about chips on the main circuit board, battery components and camera modules.

 

Reuters also reported that Apple treats such information as highly confidential because the company does not publicly disclose which supplier manufactures individual components within its devices.

 


The records reportedly reveal where Apple sources a component from multiple vendors and where it depends on only a handful of suppliers. Reuters reported that such information could expose Apple’s bargaining leverage as well as potential vulnerabilities within its supply chain.

 


Unlike leaked product images, supplier maps and engineering documentation could provide deeper insight into manufacturing processes, sourcing strategies and production relationships. Such information may be of greater interest to competitors, counterfeiters and threat actors than the appearance of an upcoming smartphone.


Why is India’s manufacturing sector increasingly under cyberattack?


The reported breach comes against the backdrop of an increasingly hostile cyber environment for India’s manufacturing sector. According to the India Cyber Threat Report 2026, Seqrite detected 265.52 million cyber threats across more than eight million endpoints in India, averaging 505 detections every minute between October 2024 and September 2025. The report attributes the threat landscape to a combination of legacy malware, fileless attacks, AI-assisted phishing campaigns and ransomware-as-a-service operations.

 


According to the report, manufacturing continues to attract attackers because it relies on legacy infrastructure, resource constraints and collaborative networks that connect multiple suppliers, vendors and partners.

 


The findings indicate that cybercriminals are increasingly targeting organisations that sit deep inside supply chains, where access to valuable intellectual property, engineering data and operational systems can potentially affect several multinational customers simultaneously.


How are ransomware attacks becoming more targeted?

The broader cyber threat landscape suggests ransomware groups are increasingly changing how they operate. Instead of relying primarily on mass phishing campaigns, attackers are focusing on organisations that occupy critical positions in global supply chains.

 


The India Cyber Threat Report 2026 notes that ransomware activity followed a pattern of sharp escalation early in 2025, followed by a period of stabilisation and then renewed activity later in the year. More importantly, it says attackers have increasingly shifted from mass-scale attacks to precision-targeted campaigns.

 


According to the report, January 2025 saw the highest ransomware activity, with 185 incidents and more than 113,000 detections. While detections fell in the following months, the report says attackers increasingly shifted towards enterprise-focused intrusions rather than indiscriminate campaigns.

 

The report also states that ransomware operators maintained reconnaissance activity throughout the year, suggesting enterprises remained under constant probing even during quieter periods. 


Why have suppliers become attractive cyber targets?


Unlike technology companies, manufacturers often store confidential information belonging to multiple customers. As a result, a single cyberattack can expose data linked to several multinational companies.

 


The reported Tata Electronics breach illustrates this risk. According to NDTV, citing Reuters and cybersecurity researchers, the alleged Apple leak contains more than 200,000 files amounting to over 630 GB of data. The files reportedly include:


  • Component specifications and engineering documents

  • Manufacturing and assembly instructions

  • Material specifications and quality inspection standards

  • Emails, event logs and employee identity documents


Unlike product images, these documents can reveal critical details about how products are designed, sourced and manufactured.

 


News platform AppleInsider first reported that documents related to the iPhone 18 Pro were among the leaked files. Reuters had earlier reported that Apple is investigating the incident with Tata Electronics, which has restricted internal access to sensitive systems and appointed a global consulting firm to conduct a forensic audit.

 


The incident also highlights why suppliers have become attractive targets for cybercriminals. According to NDTV, citing security experts, suppliers often hold valuable information belonging to multiple global companies, making a single breach potentially far more consequential. The report also noted that hackers last month claimed to have breached Foxconn, another major Apple supplier, and accessed confidential customer information.


What does the incident mean for India’s manufacturing ambitions?


Reuters, citing market intelligence firm Counterpoint Research, reported that India is expected to manufacture around 26 per cent of the world’s iPhones in 2026, up from about 6 per cent four years earlier.

 

According to the India Cyber Threat Report 2026, globally active ransomware groups such as Qilin, Akira and Cl0p dominated ransomware-as-a-service operations in 2025. The report also says India’s ransomware landscape increasingly reflects global-to-local spillover, with international syndicates operating through local affiliates, while groups such as KillSec and Babuk2 have targeted sectors including manufacturing by exploiting remote desktop exposure and supply-chain vulnerabilities. 


What is the latest on the investigation?


Questions remain over the Tata Electronics incident. Reuters said it has not independently verified the authenticity of the leaked files and could not immediately reach the ransomware group World Leaks for comment. Apple and Tata also did not respond to Reuters’ latest queries regarding the newly reported documents.

 


NDTV reported that Tata Electronics said the cybersecurity incident affected some of its systems but did not disrupt manufacturing operations.

 


As investigations continue, the reported breach has drawn attention to the cybersecurity challenges accompanying India’s growing role in global electronics manufacturing. With manufacturers increasingly handling confidential engineering documents, supplier information and production data for multinational companies, the incident has renewed focus on supply-chain security as an important part of protecting intellectual property and manufacturing operations.

 


Whether the leaked files ultimately prove authentic or not, the reported breach has renewed attention on the growing cyber risks facing manufacturing companies that occupy critical positions in global technology supply chains.



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AI-driven cyberattacks emerge as top risk for banks and NBFCs, says RBI

AI-driven cyberattacks emerge as top risk for banks and NBFCs, says RBI


The Reserve Bank of India’s Financial Stability Report for June 2026 has flagged a new and rapidly evolving concern for the Indian banks and non-banking financial companies (NBFCs): cyberattacks powered by artificial intelligence (AI). In a survey of 33 scheduled commercial banks and 10 upper layer NBFCs, respondents ranked AI-enabled cyber threats as the single most significant risk they expect to face over the next 12 months, ahead of ransomware, phishing and even third-party supply chain vulnerabilities. This marks a shift in how India’s financial sector views its threat landscape, moving away from traditional attack methods toward a future where AI itself becomes the weapon of choice for bad actors.

 
 

The concern is not limited to cybersecurity. Earlier this week, the Bank for International Settlements (BIS) flagged the sustainability of the global AI investment boom itself as a pressure point for financial stability, warning of opaque financing structures, rising debt and a trillion-dollar infrastructure buildout that could trigger the next financial crisis. The RBI’s report echoes a version of that worry, noting that AI-driven asset price corrections could pose systemic risks of their own. 
 


Why cyber risk matters for financial stability


Cyber incidents are no longer just an IT department’s problem. The RBI’s report frames cyber risk as a core financial stability issue because incidents can disrupt critical infrastructure through service outages, data loss and payment system interruptions, while also chipping away at public trust in the banking system. As digital adoption accelerates, so does the attack surface available to malicious actors. According to the report, global cyberattacks have risen sharply since 2020, and India continues to see a relatively high volume of such attacks compared to other emerging market economies, trailing only Russia and Ukraine in the sample of countries the RBI examined.

 


That volume matters because Indian banks have moved deep into digital territory. The survey conducted by RBI found that 79 per cent of respondents reported that more than three-fourths of their customer transactions now happen digitally. That level of digital dependence means any disruption, however brief, has the potential to ripple across millions of customers almost instantly.


Banks feel prepared, but the numbers tell a more nuanced story


On the surface, Indian financial institutions appear confident about their cyber defences. As many as 98 per cent of respondents rated their current cyber risk exposure as very low to moderate, and most reported that whatever incidents did occur during 2025-26 caused minimal disruption to customer services and were typically contained within 24 hours.

 


However, nearly one-third of respondents said their perceived cyber risk had moderately or significantly increased compared to a year earlier, a sign that the threat environment is getting harder to predict even as institutions feel they are managing it adequately. In other words, banks believe they are keeping pace with today’s threats, but they are not entirely sure that pace will hold as the nature of those threats keeps changing.

 


Investment trends back this up. Between March 2025 and March 2026, around 67 per cent of respondents reported an increase in IT and cybersecurity staffing, and cybersecurity expenditure as a share of overall IT spending rose for 71 per cent of institutions over the last three financial years. Yet 81 per cent of respondents still reported IT expenditure of less than 5 per cent of revenue during 2025-26, a ratio the RBI suggests should be benchmarked against international standards to judge whether Indian institutions are investing enough given the scale of the risks they face.


Why AI has changed the equation


The reason AI-enabled threats have jumped to the top of the risk list comes down to speed and scale. As the RBI’s report notes, rapid advances in AI can increase the sophistication, speed and scale of cyber incidents in ways that traditional attack methods simply cannot match. An AI system can probe for vulnerabilities, craft convincing phishing messages or adapt its approach in real time far faster than a human attacker working alone.


95 per cent of survey respondents named AI-enabled cyber threats among their three most significant risks for the coming year, well ahead of third-party and supply chain risk at 70 per cent, ransomware and malware at 28 per cent, API and application vulnerabilities at 23 per cent, phishing and social engineering also at 23 per cent, and vulnerability or patch management at 14 per cent.

 


What makes this particularly concerning is that preparedness has not caught up with the perceived threat. Most institutions describe their AI-enabled threat readiness as being in the “developing” (45 per cent) or “intermediate” stage (38 per cent), with only 5 per cent classifying themselves as “mature” and none reaching an “advanced” stage of preparedness.

 


Separately, the RBI’s Financial Stability Report also devotes attention to the broader implications of frontier AI models for the financial sector’s IT and operational technology systems. The report notes that increased automation of cyberattacks on financial infrastructure creates operational risk for institutions, ranging from service disruptions and financial losses to reputational damage, data breaches and reduced customer confidence.

 


Beyond individual institutions, the report flags a systemic dimension too: shared vulnerabilities and technology concentration risk, which arise when large numbers of financial entities depend on the same small pool of service providers or shared infrastructure.


The third-party problem


If AI-enabled threats represent the emerging risk, third-party dependency remains the structural one. The survey found that 93 per cent of respondents are partially or substantially dependent on external vendors for cybersecurity functions such as security operations centre monitoring, cloud security, incident response, threat intelligence and vulnerability assessments.

 


Only 7 per cent of institutions handle these functions mainly in-house, while 77 per cent operate on a hybrid model and 16 per cent rely mainly on third-party support.

 


This matters because operational dependence on external technology providers for critical applications is moderate to very high for three-fourths of respondents. When a small number of vendors service a large share of the financial sector, a single major incident at one provider could propagate rapidly across multiple institutions, amplifying disruption well beyond what any one bank’s individual defences could contain. The RBI explicitly frames this as a channel through which operational risk at the vendor level can turn into a systemic risk for the financial system as a whole.


Geopolitics adds another layer of uncertainty


The report also links global political tensions directly to cyber risk. 42 per cent of surveyed institutions said that geopolitical uncertainty has increased the likelihood of cyberattacks against them, reflecting a broader pattern where periods of heightened tension between states tend to coincide with more state-affiliated or state-linked cyber activity. This is consistent with the global data the RBI presents, which shows that state and state-affiliated actors, along with non-state groups, have been responsible for a growing share of major cyberattacks worldwide over the past several years.


What the RBI wants fixed


The Financial Stability Report does not stop at diagnosis. It points to specific gaps that need attention. Cybersecurity awareness and training for employees remain areas that require further strengthening, the report notes, given that human behaviour continues to be among the most exploited entry points for cyberattacks. No amount of technological investment fully compensates for an employee clicking on the wrong link.

 


Forensic preparedness is another weak spot the RBI wants addressed. Strengthening this capability would help institutions respond to incidents more effectively, preserve digital evidence properly, and support regulatory and law enforcement investigations when sophisticated attacks do occur.


The policy response taking shape


On the regulatory front, the Inter-Ministerial Group on the Financial Sector Cybersecurity Strategy, mandated by the Financial Stability and Development Council in August 2025, has continued deliberating on harmonising cybersecurity regulations across the financial sector, building risk frameworks for AI, cloud and quantum computing, strengthening third-party resilience, improving consumer protection, and addressing risks from interconnected critical infrastructure.

 


The draft strategy is now at an advanced stage, according to the RBI. Once adopted, it will set a governance framework, accountability structures and implementation timelines for regulators, with close coordination between financial regulators, CERT-In, the National Critical Information Infrastructure Protection Centre and technology oversight bodies expected to be essential.


RBI on risks related to AI boom


RBI’s report also sits closely alongside a warning issued just days earlier by the Bank for International Settlements. In its Annual Economic Report 2026, the BIS named the sustainability of the AI boom as a pressure point threatening the global economy.

 


The Switzerland-based institution credited AI investment with being the single biggest force supporting global growth over the past year, even as tariffs and a blockade of the Strait of Hormuz threatened stagflation. But it warned that the trillion-dollar buildout of AI infrastructure could itself become the trigger for the next financial crisis, pointing to opaque financing arrangements, circular deals between chipmakers and AI labs, and a rapid expansion of private credit lending to AI and IT firms that now makes up around 15 per cent of those funds’ loan books.

 


The RBI’s own report carries a strikingly similar warning. It notes that AI-related investments are now permeating bond markets, as hyperscalers such as Microsoft, Meta, Alphabet, Amazon, Oracle and Nvidia ramp up capital expenditure on AI infrastructure even as their free cash flows decline, pushing them toward sharply higher debt issuance over the past two years. That debt financing is expected to rise further as spending expands, and the RBI states plainly that an AI-driven asset price correction could pose systemic risks, since banks may be indirectly exposed through their lending to private credit firms and other intermediaries funding the AI boom.



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