#FactCheck: AI Generated audio of CDS admitting that Pakistan Army is superior than Indian Army.

Introduction

The ongoing debate on whether AI scaling has hit a wall has been rehashed by the underwhelming response to OpenAI’s ChatGPT v5. AI scaling laws, which describe that machine learning models perform better with increased training data, model parameters and computational resources, have guided the rapid progress of Large Language Models (LLMs) so far. But many AI researchers suggest that further improvements in LLMs will have to be effected through large computational costs by orders of magnitude, which does not justify the returns.  The question, then, is whether scaling remains a viable path or whether the field must explore new approaches. This is not just a tech issue but a profound innovation challenge for countries like India, charting their own AI course. 

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The Scaling Wall: Gaps and Innovation Opportunities

Escalating costs, data scarcity, and diminishing gains mean that simply building larger AI models may no longer guarantee breakthroughs. In such a scenario, LLM developers will have to refine new approaches to training these models, for example, by diversifying data types and redefining training techniques.  

This global challenge has a bearing on India’s AI ambitions. For India, where compute and data resources are relatively scarce, this scaling slowdown poses both a challenge and an opportunity. While the India AI Mission embodies smart priorities such as democratising compute resources and developing local datasets, looming scaling challenges could prove a roadblock.  Realising these ambitions requires strong input from research and academia, and improved coordination between policymakers and startups. The scaling wall highlights systemic innovation gaps where sustained support is needed, not only in hardware but also in talent development, safety research, and efficient model design.

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Way Forward

To truly harness AI’s transformative power, India must prioritise policy actions and ecosystem shifts that support smarter, safer, and context-rich research through the following measures: 

• Driving Efficiency and Compute Innovation: Instead of relying on brute-force scaling, India should invest in research and startups working on efficient architectures, energy-conscious training methods, and compute optimisation.
• Investing in Multimodal and Diverse Data: While indigenous datasets are being developed under the India AI Mission through AI Kosha, they must be ethically sourced from speech, images, video, sensor data, and regional content, apart from text, to enable context-rich AI models truly tailored to Indian needs. 
• Addressing Core Problems for Trustworthy AI:  LLMs offered by all major companies, like OpenAI, Grok, and Deepseek, have the problem of unreliability, hallucinations, and biases, since they are primarily built on scaling large datasets and parameters, which have inherent limitations. India should invest in capabilities to solve these issues and design more trustworthy LLMs.
• Supporting Talent Development and Training: Despite its substantial AI talent pool, India faces an impending demand-supply gap. It will need to launch national programs and incentives to upskill engineers, researchers, and students in advanced AI skills such as model efficiency, safety, interpretability, and new training paradigms

Conclusion

The AI scaling wall debate is a reminder that the future of LLMs will depend not on ever-larger models but on smarter, safer, and more sustainable innovation. A new generation of AI is approaching us, and India can help shape its future. The country’s AI Mission and startup ecosystem are well-positioned to lead this shift by focusing on localised needs, efficient technologies, and inclusive growth, if implemented effectively. How India approaches this new set of challenges and translates its ambitions into action, however, remains to be seen.

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References

• https://blogs.nvidia.com/blog/ai-scaling-laws/
• https://www.marketingaiinstitute.com/blog/scaling-laws-ai-wall 
• https://fortune.com/2025/02/19/generative-ai-scaling-agi-deep-learning/ 
• https://indiaai.gov.in/ 
• https://www.deloitte.com/in/en/about/press-room/bridging-the-ai-talent-gap-to-boost-indias-tech-and-economic-impact-deloitte-nasscom-report.html 

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Disclaimer:

The information is based on claims made by threat actors and does not imply confirmation of the breach, by CyberPeace. CyberPeace includes this detail solely to provide factual transparency and does not condone any unlawful activities. This information is shared only for research purposes and to spread awareness. CyberPeace encourages individuals and organizations to adopt proactive cybersecurity measures to protect against potential threats.

🚨 Data Breach Alert ⚠️: 

Recently The Research Wing of CyberPeace and Autobot Infosec have come across a claim on a threat actor’s dark web website alleging a data breach involving 637k+ records from Federal Bank. According to the threat actor’s claim, the data allegedly includes sensitive details such as-

• 🧑‍Customer Name
• 🆔Customer ID
• 🏠 Customer Address
• 🎂 Date of Birth
• 🔢 Age
• 🚻 Gender
• 📞Mobile Number
• 🪪 PAN Number
• 🚘 Driving License Number
• 🛂 Passport Number
• 🔑 UID Number
• 🗳️ Voter ID Information

The alleged data was initially discovered on a dark web website, where the threat actors allegedly claimed to be offering the breached information for sale. Following their announcement of the breach, a portion of the data was reportedly published on December 27, 2024. A few days later, the full dataset was allegedly released on the same forum.

About the Threat Actor Group:

Bashe, a ransomware group that emerged in 2024, is claimed to have evolved from the LockBit ransomware group, previously operating under the names APT73 and Eraleig. The group employs data encryption combined with extortion tactics, threatening to release sensitive information if ransom demands are unmet. Their operations primarily target critical industries, including technology, healthcare, and finance, demonstrating a strategic focus on high-value sectors.

Breakdown of the Alleged Post by the Threat Actor:

• Target: Allegedly involves Customer’s Data of Federal Bank.
• Data Volume: Claimed breach includes 637,894 records.
• Data Fields: Threat actor claims the data contains sensitive information, including Customer name, Customer ID, Date of Birth, PAN Number, Age, Gender, Father Name, Spouse Name, Driving Licence, Passport Number, UID Number, Voter ID, District, Zip Code, Home Address, Mailing Address, State etc.

Analysis:

The analysis of the alleged data breach highlights the states purportedly most impacted, along with insights into the affected age groups, gender distribution, and other key insights associated with the compromised data. This evaluation aims to provide a clearer understanding of the claimed breach's scope and its potential demographic and geographic impact.

Top States Impacted: 

As per the alleged breached data, Tamil Nadu has the highest number of affected customers, accounting for a significant 34.49% of the total breach. Karnataka follows closely with 26.89%, indicating a substantial number of individuals affected in the state. In contrast states such as Uttar Pradesh, Haryana, Delhi, and Rajasthan report minimal impact, with each state having less than 1% of affected customers. Gujarat records 3.70% of the breach, with a sharp drop in affected numbers from other states, highlighting a significant disparity in the extent of the breach across regions.

Impacted Age Range Statistics:

The alleged data breach has predominantly impacted customers in the 31-40 years age group, which constitutes the largest segment at 35.80% of the affected individuals. Following this, the 21-30 years age group also shows significant impact, comprising 27.72% of those affected. The 41-50 years age group accounts for 20.55% of the impacted population, while individuals aged 50 and above represent 12.68%. In contrast, the 0-20 years age group is the least affected, with only 3.24% of customers falling into this category.

Gender Wise Statistics:

The alleged data breach has predominantly impacted male customers, who constitute the majority at 74.05% of the affected individuals. Female customers account for 23.18%, while a smaller segment, categorized as "Others," constitutes 2.77%.

The alleged dataset from the threat actors indicated that a significant portion of customers' personal identification data was compromised. This includes sensitive information such as driving licenses, passport numbers, UID numbers, voter IDs, and PAN numbers.

Significance of the Allegations:

Though the claims have not been independently verified at our end it underscores the rising risks of cyberattacks and data breaches, especially in the financial and banking sectors. If true, the exposure of such sensitive information could lead to financial fraud, identity theft, and severe reputational damage for individuals and organizations alike.

CyberPeace Advisory:

CyberPeace emphasizes the importance of vigilance and proactive measures to address cybersecurity risks:

• Monitor Your Accounts: Keep a close eye on financial and email accounts for any suspicious activity.
• Update Passwords: Change your passwords immediately and enable Multi Factor Authentication(MFA) wherever possible.
• Beware of Phishing Attacks: Threat actors may exploit the leaked data to craft targeted phishing scams. Do not click on unsolicited links or share sensitive details over email or phone.
• For Organizations: Strengthen data protection mechanisms, regularly audit security infrastructure, and respond swiftly to emerging threats.
• Report: For more assistance or to report cyber incidents, visit https://cybercrime.gov.in or contact our helpline team at helpline@cyberpeace.net.

We advise affected parties and the broader public to stay alert and take necessary precautions. CyberPeace remains committed to raising awareness about cybersecurity threats and advocating for better protection mechanisms. We urge all stakeholders to investigate the claims and ensure appropriate steps are taken to protect the impacted data, if the breach is confirmed. Our Research Wing is actively observing the situation and we aim to collaborate with the stakeholders and relevant agencies to mitigate the impact.

Stay Vigilant! Stay CyberPeaceful.

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Overview:

In today’s digital landscape, safeguarding personal data and communications is more crucial than ever. WhatsApp, as one of the world’s leading messaging platforms, consistently enhances its security features to protect user interactions, offering a seamless and private messaging experience

App Lock: Secure Access with Biometric Authentication

To fortify security at the device level, WhatsApp offers an app lock feature, enabling users to protect their app with biometric authentication such as fingerprint or Face ID. This feature ensures that only authorized users can access the app, adding an additional layer of protection to private conversations.

How to Enable App Lock:

1. Open WhatsApp and navigate to Settings.
2. Select Privacy.
3. Scroll down and tap App Lock.
4. Activate Fingerprint Lock or Face ID and follow the on-screen instructions.

Chat Lock: Restrict Access to Private Conversations

WhatsApp allows users to lock specific chats, moving them to a secured folder that requires biometric authentication or a passcode for access. This feature is ideal for safeguarding sensitive conversations from unauthorized viewing.

How to Lock a Chat:

1. Open WhatsApp and select the chat to be locked.
2. Tap on the three dots (Android) or More Options (iPhone).
3. Select Lock Chat
4. Enable the lock using Fingerprint or Face ID.

Privacy Checkup: Strengthening Security Preferences

The privacy checkup tool assists users in reviewing and customizing essential security settings. It provides guidance on adjusting visibility preferences, call security, and blocked contacts, ensuring a personalized and secure communication experience.

How to Run Privacy Checkup:

1. Open WhatsApp and navigate to Settings.
2. Tap Privacy.
3. Select Privacy Checkup and follow the prompts to adjust settings.

Automatic Blocking of Unknown Accounts and Messages

To combat spam and potential security threats, WhatsApp automatically restricts unknown accounts that send excessive messages. Users can also manually block or report suspicious contacts to further enhance security.

How to Manage Blocking of Unknown Accounts:

1. Open WhatsApp and go to Settings.
2. Select Privacy.
3. Tap to Advanced 
4. Enable Block unknown account messages

IP Address Protection in Calls

To prevent tracking and enhance privacy, WhatsApp provides an option to hide IP addresses during calls. When enabled, calls are routed through WhatsApp’s servers, preventing location exposure via direct connections.

How to Enable IP Address Protection in Calls:

1. Open WhatsApp and go to Settings.
2. Select Privacy, then tap Advanced.
3. Enable Protect IP Address in Calls. 

Disappearing Messages: Auto-Deleting Conversations

Disappearing messages help maintain confidentiality by automatically deleting sent messages after a predefined period—24 hours, 7 days, or 90 days. This feature is particularly beneficial for reducing digital footprints.

How to Enable Disappearing Messages:

1. Open the chat and tap the Chat Name.
2. Select Disappearing Messages.
3. Choose the preferred duration before messages disappear.

View Once: One-Time Access to Media Files

The ‘View Once’ feature ensures that shared photos and videos can only be viewed a single time before being automatically deleted, reducing the risk of unauthorized storage or redistribution.

How to Send View Once Media:

1. Open a chat and tap the attachment icon.
2. Choose Camera or Gallery to select media.
3. Tap the ‘1’ icon before sending the media file.

Group Privacy Controls: Manage Who Can Add You

WhatsApp provides users with the ability to control group invitations, preventing unwanted additions by unknown individuals. Users can restrict group invitations to ‘Everyone,’ ‘My Contacts,’ or ‘My Contacts Except…’ for enhanced privacy.

How to Adjust Group Privacy Settings:

1. Open WhatsApp and go to Settings.
2. Select Privacy and tap Groups.
3. Choose from the available options: Everyone, My Contacts, or My Contacts Except

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Conclusion

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WhatsApp continuously enhances its security features to protect user privacy and ensure safe communication. With tools like App Lock, Chat Lock, Privacy Checkup, IP Address Protection, and Disappearing Messages, users can safeguard their data and interactions. Features like View Once and Group Privacy Controls further enhance confidentiality. By enabling these settings, users can maintain a secure and private messaging experience, effectively reducing risks associated with unauthorized access, tracking, and digital footprints. Stay updated and leverage these features for enhanced security.

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