Indian Govt Has A New Security Alert For Chrome Users: Possible Hacking Threat Issued

Last Updated:
Chrome security risk alert issued by the Indian government highlights the ongoing concerns with the popular web browser.
The Indian government has issued a new security risk warning from Google Chrome users which can leave them vulnerable to hacking threats. The latest Chrome security warning dated June 18, comes via the Indian Computer Emergency Response Team (CERT-In) with a high severity rating which is always a concern for millions of Chrome users in the country, both on Windows and Mac.
These security alerts have become quite frequent but also ensure that people are being informed about the issues facing some of the popular apps and software.
The latest security issue facing Chrome users is linked to some of the internal components that can only be fixed by Google. 'Multiple vulnerabilities exist in Google Chrome due to Integer overflow in V8 and Use after free in Profiler. A remote attacker could exploit these vulnerabilities by persuading a victim to visit a specially crafted web page."
Chrome is heavily used across the globe, which makes it an obvious target for hackers, especially when they have issues that can be exploited. The CERT-In note clearly suggests that a wide range of Windows and macOS Chrome versions are affected by the vulnerabilities and the details are given below:
Google does have a hold on this serious situation, and has already worked on a patch that all Chrome users should install on their Windows, macOS or Linux systems right away.
All you do to is follow these steps:
Head over to the three-dot menu on Chrome – Settings – About – Update Chrome. Google has listed the security fixes that come with the stable channel update.
The stable channel update has been issued and you have to make sure the Chrome running on your device is updated to the latest version to keep it protected from possible hacking or system access attempts.
First Published:
June 20, 2025, 07:30 IST

Try Our AI Features

Explore what Daily8 AI can do for you:

Learn with AIFact CheckingText to SpeechAI Summary

Related Articles

Time of India

16 minutes ago

• Time of India

India Inc's AI reality check: Why 92% still struggle to scale AI

Only BFSI (71%) and ITES (80%) show signs of AI maturity — but even they face integration and governance and retail sectors have >60% AI experimentation, but governance, ethics, and backend integration stall AI being a boardroom buzzword, only 8% of enterprises have realized business-scale AI value. AI might be the star of corporate town halls and keynote speeches, but behind the curtains of glossy brochures and tech summits lies an inconvenient truth: the vast majority of Indian enterprises are nowhere close to AI maturity. According to the ETCIO Intelligence Report AI Playbook – GPUs, Strategies & Readiness Index 2025, a staggering 92% of organizations remain stuck in pilot or exploratory phases. Only a slim 8% have fully implemented AI initiatives. This discrepancy reveals a telling reality—while boardrooms are bullish about AI's potential, operationalizing it at scale remains an uphill task. For a quarter of surveyed firms, AI remains an abstract concept—a buzzword to explore rather than a tool to deploy. Pilot paralysis: From proof of concept to proof of value What's keeping India Inc from achieving AI lift-off? At the heart of the issue lies an ROI dilemma. AI pilots, often built around automation or chatbots, fail to deliver tangible business impact. 'Boards demand measurable business value,' the report notes, 'but most AI efforts focus on narrow use cases with limited bottom-line value.' In response, many CIOs are shifting their KPIs from 'proof of concept' to 'proof of value,' with a sharper focus on metrics like Return on Employee (RoE). 'AI has moved beyond proof of concept - it's now about proof of value. With data at its core, the true success metric is ROE: Return on Employee, where enhanced productivity and smarter efficiency reveals AI's real impact,' says Rakesh Bhardwaj, Group Chief Information Officer, Lupin. The infrastructure conundrum: Legacy systems as a bottleneck India's digital backbone—comprising legacy ERP, SCADA, MES, and siloed data systems—is not AI-ready. In manufacturing, for instance, only 57% of firms report any form of AI adoption. Even among these, most remain confined to pilot projects, thanks to fragmented operational technology and poor data standardization. The BFSI sector leads India's AI journey in terms of adoption maturity. Banks and insurers are embedding AI into fraud detection, underwriting, and customer service. But deeper integration is still constrained by legacy systems and high implementation costs. 'AI adoption in BFSI is not just about improving efficiency. It is redefining resilience, security, compliance and customer experience at scale,' says Sampath Manickam , Chief Technology Officer, National Stock Exchange of India. 'As we integrate AI-driven solutions, the emphasis must remain on ethical innovation, regulatory compliance and long-term value creation.' In retail and consumer goods, the maturity is mixed. While digital-native firms and FMCG giants leverage AI for personalization and supply chain visibility, traditional retailers are still stuck on basic digital transformation journeys. Data privacy and ERP integration issues loom large. In healthcare and pharma, AI use cases are growing—from diagnostics and imaging to drug discovery. However, full-scale adoption is rare, and ethical concerns around bias and explainability are front and center. ITES players show relative maturity. Roughly 60% have implemented AI for customer service automation, IT ops, or HR analytics. But only 8% have embedded AI into core functions. The rest remain tactical, often boxed into non-core deployments due to legacy constraints and unclear ROI. Talent deficit vs tool overload Another major hurdle? – People. Despite the explosion of AI platforms and APIs, there is a severe shortage of skilled professionals—particularly AI engineers, data scientists, and MLOps experts. 'There is a huge shortage of skilled talent because modern education is unable to keep up with the speed of change,' says Priya Dar, CIO, Valvoline Cummins . 'We are not experimenting enough and limitations of industry-specific tools lead to customizations that need skills, time, and money. What we are doing is simple—upskilling, leaning on open source, and outsourcing some innovation to smaller partners working on specific use cases.' Organizations are responding with hybrid strategies: reskilling programs, partnerships with academic institutions, and tapping global talent pools via remote work. 'Our leadership emphasizes innovation, operational excellence, and customer-centricity as core pillars of our growth strategy,' adds Kavita Bijlani, Head of IT & RAD, Bausch + Lomb. 'We are up-skilling and re-skilling our employees by rolling out training programs on AI/ML through virtual platforms. To overcome local shortages, we are tapping into global and regional talent pools.' Integration complexity: The silent killer Even when talent and tools are available, most AI projects flounder during integration. ETCIO Intelligence survey revealed that poor post-deployment support and a lack of plug-and-play capabilities remain key friction points—particularly in sectors like BFSI and healthcare, where compliance demands are non-negotiable. As Anand Sinha, CIO, Birlasoft, explains: 'Organizations address the shortage by upskilling existing staff, recruiting from diverse backgrounds, and using global remote talent… Automation and low-code AI tools are adopted to reduce reliance on specialists.' Who's Winning and Who's Lagging? A Sectoral Snapshot ITES (80%) and BFSI (71%) lead due to digital maturity and strong risk/compliance needs. Healthcare (70%) is gaining traction in diagnostics and drug discovery, but lags in AI governance. Retail (61%) shines in front-end CX but falters on backend integrations. Manufacturing (57%) struggles with data quality and fragmented tech environments. From projects to platforms: Global lessons for India Inc The report emphasizes that successful AI transformation isn't about isolated pilots—it's about 'platformization'. Giants like JPMorgan (COIN platform) and Siemens (AI-augmented digital twins) show the way. Indian firms must follow suit by institutionalizing AI Centers of Excellence, building explainable AI systems, and investing in scalable data infrastructure. To paraphrase Rucha Nanavati of Mahindra & Mahindra: 'AI has moved from curiosity to boardroom mandate. The challenge now is not in adopting AI—but in delivering on its promise.' The next 24 months represent a defining window. For India Inc., this is the moment to evolve from pilot purgatory to platform-powered performance. The age of AI has begun—now it's time to make it real. The AI Playbook | ET CIO

Mint

26 minutes ago

• Mint

Japan's BeyondNext plans $50 million India fund to back deeptech, AI, semiconductor startups

Japanese venture capital firm BeyondNext Ventures, which focuses on deeptech and deep science startups, plans to raise a $50 million fund to back more Indian ventures, a top company executive said. The firm's rationale is threefold: investing in companies with a strong go-to-market focus, investing in Indians across the world, and bringing these businesses to Japan, where larger conglomerates can act as distribution partners. 'We think of India as a place where there are enormous tailwinds and tonnes of young entrepreneurs," Jay Krishnan, head of India investments at BeyondNext Ventures, told Mint in an interview. 'We want to enable those tailwinds, both from a policy and risk conversion side, and bring them to Japan." BeyondNext entered India in 2019, when it backed 14 startups using capital from its $100 million second fund. 'Back then, the idea was to get a taste, get some exposure. Now, we've decided to go full hog in India," Krishnan said. Also Read | How AI is transforming the role of venture capital for startups Japanese VCs are looking more closely at the Indian startup ecosystem. Clean energy startup Aerem raised about $12 million from Sumitomo Mitsui Banking Corporation earlier this year. In November last year, Sumitomo's Asia fund was part of a $35 million funding round in mortgage-tech startup Easy. In July last year, mobility manufacturer Suzuki launched its first India-focused ₹340 crore fund to tap startups working in agriculture, financial inclusion, supply chain and mobility. BeyondNext is fundraising at the moment and will set aside 50% of the fund for 20 to 25 investments in the first five years of the 10-year fund. In the next five years, it will deploy the remaining capital for winners from the India portfolio, reserving $1 million for a pre-Series A cheque and another $1 million for follow-on investments. Bullish on semiconductors The firm will enter companies at the pre-seed stage and is offering cheques that start at $250,000 and go up to $2 million. 'We don't want to do Series A for these startups – we'd rather make them discoverable and visible to investors who come in at that stage," said Krishnan. Also Read | India's venture capital firms are finding that leaner might be better For the India-focused fund, BeyondNext said it is very bullish on the semiconductor industry, specifically startups that are able to disrupt the value chain in the sector. Additionally, the firm is evaluating startups in biotech, space and artificial intelligence. 'We're also eager about anything that has a local/contextualised play where the market is big enough that once they crack India, they can go anywhere," Krishnan said. The firm plans to bring its Japanese deeptech playbook to India. BeyondNext runs an incubation programme called BRAVE, where it matches scientists and researchers with ideas that could become startups with business-facing talent. The programme has yielded 52 ventures, according to BeyondNext's website. Also Read | End of FOMO: Venture capital firms turn cautious over AI startup hype; demand models with clear returns and impact 'We prefer two or three founders where the shortcomings of one are mitigated by someone else," said Krishnan. Some of BeyondNext's previous investments in India include GigIndia, which was acquired by PhonePe in 2022, medical crowdfunding platform ImpactGuru, daycare surgery aggregator Medfin, and low-code digital therapeutics SaaS platform Wellthy Therapeutics.

The Hindu

29 minutes ago

• The Hindu

OpenAI and Microsoft: A partnership under strain

A 'head over heels' relationship between a tech titan and an AI startup that began over six years ago is turning sour. Microsoft and OpenAI's pact powered the startup's artificial intelligence engine to build generative pre-trained models and de-aged the software maker for the AI era. Now — after cumulative investments swelling to $13 billion — the couple is battling between mutual reliance and burgeoning autonomy. This recalibration carries weighty implications for both firms. Recent reports suggest Microsoft is prepared to halt discussions over the future contours of its OpenAI alliance if disagreements on critical terms — like Microsoft's future equity stake — persist. The Windows software maker would then rely on its existing commercial contract, ensuring access to OpenAI's technology until marks a potential inflexion point in a relationship that saw Microsoft's capital and cloud infrastructure propel OpenAI to the vanguard of AI. Heart of the matter At the heart of the current negotiations are fundamental differences in strategic outlook. OpenAI has been overtly seeking to lessen its dependency on Microsoft for cloud computing, a move underscored by new partnerships. Notably, OpenAI finalised a deal in May to use Google Cloud's infrastructure, a significant step to diversify its computing resources beyond Microsoft's Azure —its current exclusive provider. It has also partnered with CoreWeave and is exploring arrangements with Oracle as part of Project Stargate to further expand its compute capacity. Such diversification provides OpenAI with technical alternatives and, presumably, greater negotiating leverage. The shifting personal ties between the firms' leaders, Satya Nadella of Microsoft and Sam Altman of OpenAI, mirror these corporate recalibrations. Once in near-constant communication, with Mr. Nadella reportedly texting Mr. Altman five or six times a day, their interactions have become more formalised, primarily consisting of scheduled weekly calls, per news reports. This devolution from spontaneous chats to structured exchange began after Mr. Altman's brief ousting from OpenAI in late 2023 — an event that led Mr. Nadella to rearchitect his company's AI future. While Mr. Nadella backed Mr. Altman, the Microsoft CEO also made his controversial decision to bring DeepMind's Mustafa Suleyman on board. At that point, Mr. Suleyman was running Inflection AI. And as part of the deal, the entire team at Inflection AI joined the software maker. Despite these undercurrents, public pronouncements remained diligently choreographed. Earlier this year, Mr. Altman posted a picture with Mr. Nadella on X, announcing the next phase of their partnership to be 'much better' than anyone is ready for. Mr. Nadella echoed the optimistic sentiment. Such displays were aimed at reassuring investors amidst intricate private negotiations and mounting competition from other AI players, as well as increasing regulatory scrutiny globally. A pivotal point A pivotal point of disagreement between the duo is OpenAI's corporate structure. In May, OpenAI announced it would restructure into a Public Benefit Corporation (PBC), while keeping its non-profit parent in control, retaining the authority to appoint board members . This was a significant shift from earlier considerations of a more conventional for-profit transition that might have diluted the non-profit's oversight and authority. The move, amidst criticism from OpenAI early investor and Tesla CEO Elon Musk, was aimed to better align its operational structure with its stated mission of developing AI for humanity's benefit, while still attracting substantial investment. This restructuring requires Microsoft's assent as a key stakeholder — with the tech giant having provided billions of dollars in funding. Microsoft is said to be negotiating the size of its own potential stake in this new PBC, with discussions reportedly ranging from 20% to 49%. Failure to finalise this restructuring by year-end could jeopardise funding from other investors, including a significant investment from SoftBank. Broader AI strategy Microsoft, for its part, is not standing still. Its AI strategy is visibly broadening beyond its OpenAI relationship. At its Build 2025 conference, Microsoft showcased integrations of models from Anthropic and Musk's xAI, signalling a move towards a more diversified AI portfolio. The company is also developing its own smaller, in-house models, like Phi-4, to reduce costs and reliance on any single provider for its Copilot services. This reflects a growing confidence in its proprietary capabilities and a desire to offer a wider range of AI tools on its Azure platform. Indeed, Microsoft's ability to leverage its existing agreement with OpenAI until 2030 offers it strategic latitude. But the evolving Microsoft-OpenAI dynamic unfolds against a fiercely competitive AI landscape. Both entities are balancing the fruits of their collaboration against the imperatives of strategic independence and market differentiation. Microsoft's potential willingness to pause talks and OpenAI's multi-cloud strategy both signal a relationship that is turning sour. The denouement of these negotiations will not only chart the future courses of the two firms but also establish significant precedents for partnerships, governance, and commercialisation in the rapidly maturing AI domain. The relationship, once a lodestar for AI collaboration, now offers a salient lesson in managing the intricate dance of shared ambition and diverging paths in an industry perpetually remaking itself.