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Gmail Users Face a New Dilemma Between AI Features and Data Privacy

 



Google’s Gmail is now offering two new upgrades, but here’s the catch— they don’t work well together. This means Gmail’s billions of users are being asked to pick a side: better privacy or smarter features. And this decision could affect how their emails are handled in the future.

Let’s break it down. One upgrade focuses on stronger protection of your emails, which works like advanced encryption. This keeps your emails private, even Google won’t be able to read them. The second upgrade brings in artificial intelligence tools to improve how you search and use Gmail, promising quicker, more helpful results.

But there’s a problem. If your emails are fully protected, Gmail’s AI tools can’t read them to include in its search results. So, if you choose privacy, you might lose out on the benefits of smarter searches. On the other hand, if you want AI help, you’ll need to let Google access more of your email content.

This challenge isn’t unique to Gmail. Many tech companies are trying to combine stronger security with AI-powered features, but the two don’t always work together. Apple tried solving this with a system that processes data securely on your device. However, delays in rolling out their new AI tools have made their solution uncertain for now.

Some reports explain the choice like this: if you turn on AI features, Google will use your data to power smart tools. If you turn it off, you’ll have better privacy, but lose some useful options. The real issue is that opting out isn’t always easy. Some settings may remain active unless you manually turn them off, and fully securing your emails still isn’t simple.

Even when extra security is enabled, email systems have limitations. For example, Apple’s iCloud Mail doesn’t use full end-to-end encryption because it must work with global email networks. So even private emails may not be completely safe.

This issue goes beyond Gmail. Other platforms are facing similar challenges. WhatsApp, for example, added a privacy mode that blocks saving chats and media, but also limits AI-related features. OpenAI’s ChatGPT can now remember what you told it in past conversations, which may feel helpful but also raises questions about how your personal data is being stored.

In the end, users need to think carefully. AI tools can make email more useful, but they come with trade-offs. Email has never been a perfectly secure space, and with smarter AI, new threats like scams and data misuse may grow. That’s why it’s important to weigh both sides before making a choice.



Generative AI Fuels Identity Theft, Aadhaar Card Fraud, and Misinformation in India

 

A disturbing trend is emerging in India’s digital landscape as generative AI tools are increasingly misused to forge identities and spread misinformation. One user, Piku, revealed that an AI platform generated a convincing Aadhaar card using only a name, birth date, and address—raising serious questions about data security. While AI models typically do not use real personal data, the near-perfect replication of government documents hints at training on real-world samples, possibly sourced from public leaks or open repositories. 

This AI-enabled fraud isn’t occurring in isolation. Criminals are combining fake document templates with authentic data collected from discarded paperwork, e-waste, and old printers. The resulting forged identities are realistic enough to pass basic checks, enabling SIM card fraud, bank scams, and more. What started as tools for entertainment and productivity now pose serious risks. Misinformation tactics are evolving too. 

A recent incident involving playback singer Shreya Ghoshal illustrated how scammers exploit public figures to push phishing links. These fake stories led users to malicious domains targeting them with investment scams under false brand names like Lovarionix Liquidity. Cyber intelligence experts traced these campaigns to websites built specifically for impersonation and data theft. The misuse of generative AI also extends into healthcare fraud. 

In a shocking case, a man impersonated renowned cardiologist Dr. N John Camm and performed unauthorized surgeries at a hospital in Madhya Pradesh. At least two patient deaths were confirmed between December 2024 and February 2025. Investigators believe the impersonator may have used manipulated or AI-generated credentials to gain credibility. Cybersecurity professionals are urging more vigilance. CertiK founder Ronghui Gu emphasizes that users must understand the risks of sharing biometric data, like facial images, with AI platforms. Without transparency, users cannot be sure how their data is used or whether it’s shared. He advises precautions such as using pseudonyms, secondary emails, and reading privacy policies carefully—especially on platforms not clearly compliant with regulations like GDPR or CCPA. 

A recent HiddenLayer report revealed that 77% of companies using AI have already suffered security breaches. This underscores the need for robust data protection as AI becomes more embedded in everyday processes. India now finds itself at the center of an escalating cybercrime wave powered by generative AI. What once seemed like harmless innovation now fuels identity theft, document forgery, and digital misinformation. The time for proactive regulation, corporate accountability, and public awareness is now—before this new age of AI-driven fraud becomes unmanageable.

How GenAI Is Revolutionizing HR Analytics for CHROs and Business Leaders

 

Generative AI (GenAI) is redefining how HR leaders interact with data, removing the steep learning curve traditionally associated with people analytics tools. When faced with a spike in hourly employee turnover, Sameer Raut, Vice President of HRIS at Sunstate Equipment, didn’t need to build a custom report or consult data scientists. Instead, he typed a plain-language query into a GenAI-powered chatbot: 

“What are the top reasons for hourly employee terminations in the past 12 months?” Within seconds, he had his answer. This shift in how HR professionals access data marks a significant evolution in workforce analytics. Tools powered by large language models (LLMs) are now integrated into leading analytics platforms such as Visier, Microsoft Power BI, Tableau, Qlik, and Sisense. These platforms are leveraging GenAI to interpret natural language questions and deliver real-time, actionable insights without requiring technical expertise. 

One of the major advantages of GenAI is its ability to unify fragmented HR data sources. It streamlines data cleansing, ensures consistency, and improves the accuracy of workforce metrics like headcount growth, recruitment gaps, and attrition trends. As Raut notes, tools like Visier’s GenAI assistant “Vee” allow him to make quick decisions during meetings, helping HR become more responsive and strategic. This evolution is particularly valuable in a landscape where 39% of HR leaders cite limited analytics expertise as their biggest challenge, according to a 2023 Aptitude Research study. 

GenAI removes this barrier by enabling intuitive data exploration across familiar platforms like Slack and Microsoft Teams. Frontline managers who may never open a BI dashboard can now access performance metrics and workforce trends instantly. Experts believe this transformation is just beginning. While some analytics platforms are still improving their natural language processing capabilities, others are leading with more advanced and user-friendly GenAI chatbots. 

These tools can even create automated visualizations and summaries tailored to executive audiences, enabling CHROs to tell compelling data stories during high-level meetings. However, this transformation doesn’t come without risk. Data privacy remains a top concern, especially as GenAI tools engage with sensitive workforce data. HR leaders must ensure that platforms offer strict entitlement management and avoid training AI models on private customer data. Providers like Visier mitigate these risks by training their models solely on anonymized queries rather than real-world employee information. 

As GenAI continues to evolve, it’s clear that its role in HR will only expand. From democratizing access to HR data to enhancing real-time decision-making and storytelling, this technology is becoming indispensable for organizations looking to stay agile and informed.

ChatGPT Outage in the UK: OpenAI Faces Reliability Concerns Amid Growing AI Dependence

 


ChatGPT Outage: OpenAI Faces Service Disruption in the UK

On Thursday, OpenAI’s ChatGPT experienced a significant outage in the UK, leaving thousands of users unable to access the popular AI chatbot. The disruption, which began around 11:00 GMT, saw users encountering a “bad gateway error” message when attempting to use the platform. According to Downdetector, a website that tracks service interruptions, over 10,000 users reported issues during the outage, which persisted for several hours and caused widespread frustration.

OpenAI acknowledged the issue on its official status page, confirming that a fix was implemented by 15:09 GMT. The company assured users that it was monitoring the situation closely, but no official explanation for the cause of the outage has been provided so far. This lack of transparency has fueled speculation among users, with theories ranging from server overload to unexpected technical failures.

User Reactions: From Frustration to Humor

As the outage unfolded, affected users turned to social media to voice their concerns and frustrations. On X (formerly Twitter), one user humorously remarked, “ChatGPT is down again? During the workday? So you’re telling me I have to… THINK?!” While some users managed to find humor in the situation, others raised serious concerns about the reliability of AI services, particularly those who depend on ChatGPT for professional tasks such as content creation, coding assistance, and research.

ChatGPT has become an indispensable tool for millions since its launch in November 2022. OpenAI CEO Sam Altman recently revealed that by December 2024, the platform had reached over 300 million weekly users, highlighting its rapid adoption as one of the most widely used AI tools globally. However, the incident has raised questions about service reliability, especially among paying customers. OpenAI’s premium plans, which offer enhanced features, cost up to $200 per month, prompting some users to question whether they are getting adequate value for their investment.

The outage comes at a time of rapid advancements in AI technology. OpenAI and other leading tech firms have pledged significant investments into AI infrastructure, with a commitment of $500 billion toward AI development in the United States. While these investments aim to bolster the technology’s capabilities, incidents like this serve as a reminder of the growing dependence on AI tools and the potential risks associated with their widespread adoption.

The disruption highlights the importance of robust technical systems to ensure uninterrupted service, particularly for users who rely heavily on AI for their daily tasks. Despite restoring services relatively quickly, OpenAI’s ability to maintain user trust and satisfaction may hinge on its efforts to improve its communication strategy and technical resilience. Paying customers, in particular, expect transparency and proactive measures to prevent such incidents in the future.

As artificial intelligence becomes more deeply integrated into everyday life, service disruptions like the ChatGPT outage underline both the potential and limitations of the technology. Users are encouraged to stay informed through OpenAI’s official channels for updates on any future service interruptions or maintenance activities.

Moving forward, OpenAI may need to implement backup systems and alternative solutions to minimize the impact of outages on its user base. Clearer communication during disruptions and ongoing efforts to enhance technical infrastructure will be key to ensuring the platform’s reliability and maintaining its position as a leader in the AI industry.

Common AI Promt Mistakes And How To Avoid Them

 

If you are running a business in 2025, you're probably already using generative AI in some capacity. GenAI tools and chatbots, such as ChatGPT and Google Gemini, have become indispensable in a variety of cases, ranging from content production to business planning. 

It's no surprise that more than 60% of businesses believe GenAI to be one of their top goals over the next two years. Furthermore, 87 percent of businesses are piloting or have already implemented generative AI tools in some way. 

But there is a catch. The quality of your inputs determines how well generative AI tools perform. Effective prompting can deliver you accurate AI outputs that meet your requirements, whereas ineffective prompting can take you down the wrong path. 

If you've been struggling to maximise the potential of AI technologies, it's time to rethink the cues you're employing. In this article, we'll look at the most common mistakes people make when asking AI tools questions, as well as how to avoid them. 

What are AI prompts? 

Prompts are queries or commands you give to generative AI tools such as ChatGPT or Claude. They are the inputs you utilise to communicate with AI models and instruct them on what to perform (or generate). AI models develop content based on the prompts you give them. 

The more contextual and specific the questions, the more accurate the AI responds. For example, if you're looking for strategies to increase client loyalty, you can utilise the following generative AI prompt: "What are some cost-effective strategies to improve customer loyalty for a small business?” 

Common AI prompt mistakes 

Being too vague: Neither artificial intelligence nor humans can read minds. You may have a clear image of the problem you're attempting to solve, including limits, items you've explored or done, and potential objections. But, unless you ask a very specific inquiry, neither your human friends nor your AI assistance will be able to pull those images from your thoughts. When asking for assistance, be specific and complete. 

Not being clear about the format: Would you prefer a list, a discussion, or a table? Do you want a comparison of factors or a detailed dive into the issues? The mistake happens when you ask a question but do not instruct the AI on how you want the response to be presented. This mistake isn't just about style and punctuation; it's about how the information is digested and improved for your final consumption. As with the first item on this list, be specific. Tell the AI what you're looking for and what you'll need to receive an answer. 

Not knowing when to take a step back: Sometimes AI cannot solve the problem or give the level of quality required. Fundamentally, an AI is a tool, and one tool cannot accomplish everything. Know when to hold 'em and when to fold them. Know when it's time to go back to a search engine, check forums, or create your own answers. There is a point of diminishing returns, and identifying it will save you time and frustration. 

How to write prompts successfully 

  • Use prompts that are specific, clear, and thorough. 
  • Remember that the AI is simply a program, not a magical oracle. 
  • Iterate and refine your queries by asking increasingly better questions.
  • Keep the prompt on topic. Specify details that provide context for your enquiries.

Meeten Malware Targets Web3 Workers with Crypto-Stealing Tactics

 


Cybercriminals have launched an advanced campaign targeting Web3 professionals by distributing fake video conferencing software. The malware, known as Meeten, infects both Windows and macOS systems, stealing sensitive data, including cryptocurrency, banking details, browser-stored information, and Keychain credentials. Active since September 2024, Meeten masquerades as legitimate software while compromising users' systems. 
 
The campaign, uncovered by Cado Security Labs, represents an evolving strategy among threat actors. Frequently rebranded to appear authentic, fake meeting platforms have been renamed as Clusee, Cuesee, and Meetone. These platforms are supported by highly convincing websites and AI-generated social media profiles. 
 
How Victims Are Targeted:
  • Phishing schemes and social engineering tactics are the primary methods.
  • Attackers impersonate trusted contacts on platforms like Telegram.
  • Victims are directed to download the fraudulent Meeten app, often accompanied by fake company-specific presentations.

Key behaviors include:
  • Escalates privileges by prompting users for their system password via legitimate macOS tools.
  • Displays a decoy error message while stealing sensitive data in the background.
  • Collects and exfiltrates data such as Telegram credentials, banking details, Keychain data, and browser-stored information.
The stolen data is compressed and sent to remote servers, giving attackers access to victims’ sensitive information. 
 
Technical Details: Malware Behavior on Windows 

On Windows, the malware is delivered as an NSIS file named MeetenApp.exe, featuring a stolen digital certificate for added legitimacy. Key behaviors include:
  • Employs an Electron app to connect to remote servers and download additional malware payloads.
  • Steals system information, browser data, and cryptocurrency wallet credentials, targeting hardware wallets like Ledger and Trezor.
  • Achieves persistence by modifying the Windows registry.
Impact on Web3 Professionals 
 
Web3 professionals are particularly vulnerable as the malware leverages social engineering tactics to exploit trust. By targeting those engaged in cryptocurrency and blockchain technologies, attackers aim to gain access to valuable digital assets. Protective Measures:
  1. Verify Software Legitimacy: Always confirm the authenticity of downloaded software.
  2. Use Malware Scanning Tools: Scan files with services like VirusTotal before installation.
  3. Avoid Untrusted Sources: Download software only from verified sources.
  4. Stay Vigilant: Be cautious of unsolicited meeting invitations or unexpected file-sharing requests.
As social engineering tactics grow increasingly sophisticated, vigilance and proactive security measures are critical in safeguarding sensitive data and cryptocurrency assets. The Meeten campaign underscores the importance of staying informed and adopting robust cybersecurity practices in the Web3 landscape.

Tamil Nadu Police, DoT Target SIM Card Fraud in SE Asia with AI Tools

 

The Cyber Crime Wing of Tamil Nadu Police, in collaboration with the Department of Telecommunications (DoT), is intensifying efforts to combat online fraud by targeting thousands of pre-activated SIM cards used in South-East Asian countries, particularly Laos, Cambodia, and Thailand. These SIM cards have been linked to numerous cybercrimes involving fraudulent calls and scams targeting individuals in Tamil Nadu. 

According to police sources, investigators employed Artificial Intelligence (AI) tools to identify pre-activated SIM cards registered with fake documents in Tamil Nadu but active in international locations. These cards were commonly used by scammers to commit fraud by making calls to unsuspecting victims in the State. The scams ranged from fake online trading opportunities to fraudulent credit or debit card upgrades. A senior official in the Cyber Crime Wing explained that a significant discrepancy was observed between the number of subscribers who officially activated international roaming services and the actual number of SIM cards being used abroad. 

The department is now working closely with central agencies to detect and block suspicious SIM cards.  The use of AI has proven instrumental in identifying mobile numbers involved in a disproportionately high volume of calls into Tamil Nadu. Numbers flagged by AI analysis undergo further investigation, and if credible evidence links them to cybercrimes, the SIM cards are promptly deactivated. The crackdown follows a series of high-profile scams that have defrauded individuals of significant amounts of money. 

For example, in Madurai, an advocate lost ₹96.57 lakh in June after responding to a WhatsApp advertisement promoting international share market trading with high returns. In another case, a government doctor was defrauded of ₹76.5 lakh through a similar investment scam. Special investigation teams formed by the Cyber Crime Wing have been successful in arresting several individuals linked to these fraudulent activities. Recently, a team probing ₹38.28 lakh frozen in various bank accounts apprehended six suspects. 

Following their interrogation, two additional suspects, Abdul Rahman from Melur and Sulthan Abdul Kadar from Madurai, were arrested. Authorities are also collaborating with police in North Indian states to apprehend more suspects tied to accounts through which the defrauded money was transacted. Investigations are ongoing in multiple cases, and the police aim to dismantle the network of fraudsters operating both within India and abroad. 

These efforts underscore the importance of using advanced technology like AI to counter increasingly sophisticated cybercrime tactics. By addressing vulnerabilities such as fraudulent SIM cards, Tamil Nadu’s Cyber Crime Wing is taking significant steps to protect citizens and mitigate financial losses.

Microsoft and Salesforce Clash Over AI Autonomy as Competition Intensifies

 

The generative AI landscape is witnessing fierce competition, with tech giants Microsoft and Salesforce clashing over the best approach to AI-powered business tools. Microsoft, a significant player in AI due to its collaboration with OpenAI, recently unveiled “Copilot Studio” to create autonomous AI agents capable of automating tasks in IT, sales, marketing, and finance. These agents are meant to streamline business processes by performing routine operations and supporting decision-making. 

However, Salesforce CEO Marc Benioff has openly criticized Microsoft’s approach, likening Copilot to “Clippy 2.0,” referencing Microsoft’s old office assistant software that was often ridiculed for being intrusive. Benioff claims Microsoft lacks the data quality, enterprise security, and integration Salesforce offers. He highlighted Salesforce’s Agentforce, a tool designed to help enterprises build customized AI-driven agents within Salesforce’s Customer 360 platform. According to Benioff, Agentforce handles tasks autonomously across sales, service, marketing, and analytics, integrating large language models (LLMs) and secure workflows within one system. 

Benioff asserts that Salesforce’s infrastructure is uniquely positioned to manage AI securely, unlike Copilot, which he claims may leak sensitive corporate data. Microsoft, on the other hand, counters that Copilot Studio empowers users by allowing them to build custom agents that enhance productivity. The company argues that it meets corporate standards and prioritizes data protection. The stakes are high, as autonomous agents are projected to become essential for managing data, automating operations, and supporting decision-making in large-scale enterprises. 

As AI tools grow more sophisticated, both companies are vying to dominate the market, setting standards for security, efficiency, and integration. Microsoft’s focus on empowering users with flexible AI tools contrasts with Salesforce’s integrated approach, which centers on delivering a unified platform for AI-driven automation. Ultimately, this rivalry is more than just product competition; it reflects two different visions for how AI can transform business. While Salesforce focuses on integrated security and seamless data flows, Microsoft is emphasizing adaptability and user-driven AI customization. 

As companies assess the pros and cons of each approach, both platforms are poised to play a pivotal role in shaping AI’s impact on business. With enterprises demanding robust, secure AI solutions, the outcomes of this competition could influence AI’s role in business for years to come. As these AI leaders continue to innovate, their differing strategies may pave the way for advancements that redefine workplace automation and decision-making across the industry.