#Fact Check-Misleading Newspaper from Kerala stating ban on paper currency

Introduction

The Department of Telecommunications (DoT) has launched the 'Digital Intelligence Platform (DIP)'and the 'Chakshu' facility on the Sanchar Saathi portal to combat cybercrimes and financial frauds. Union telecom, IT and railways minister Ashwini Vaishnaw announced the initiatives, stating that the government has been working to counter cyber frauds at national, organizational, and individual levels. The Sanchar Saathi portal has successfully tackled such attacks, and the two new portals will further enhance the capacity to check any kind of cyber security threat.

The Digital Intelligence Platform is a secure and integrated platform for real-time intelligence sharing, information exchange, and coordination among stakeholders, including telecom operators, law enforcement agencies, banks, financial institutions, social media platforms, and identity document issuing authorities. It also contains information regarding cases detected as misuse of telecom resources.

The 'Chakshu' facility allows citizens to report suspected fraud communication received over call, SMS, or WhatsApp with the intention of defrauding, such as KYC expiry, bank account/payment wallet/SIM/gas connection/electricity connection, sextortion, impersonations a government official/relative for sending money, and disconnection of all mobile numbers by the Department of Telecommunications.

The launch of these proactive initiatives or steps represents another significant stride by the Ministry of Communications and the Department of Telecommunications in combating cybersecurity threats to citizens' digital assets.

In this age of technology, there is a reason to be concerned about the threats posed by cybercrooks to individuals and organizations. The risk of using digital means for communication, e-commerce, and critical infrastructure has increased significantly. It is important to have proper measures in place to prevent cybercrime and destructive behavior. The Department of Telecommunication has unveiled "Chakshu," a digital intelligence portal aimed at combating cybercrimes. This platform seeks to enhance the country's cyber defense capabilities by providing enforcement agencies with effective tools and actionable intelligence for countering cybercrimes, including financial frauds.

Digital Intelligence Platform (DIP)

Digital Intelligence Platform (DIP) developed by the Department of Telecommunications is a secure and integrated platform for real-time intelligence sharing, information exchange and coordination among the stakeholders i.e. Telecom Service Providers(TSPs), law enforcement agencies (LEAs), banks and financial institutions(FIs), social media platforms, identity document issuing authorities etc. The portal also contains information regarding the cases detected as misuse of telecom resources. The shared information could be useful to the stakeholders in their respective domains. It also works as a backend repository for the citizen-initiated requests on the Sanchar Saathi portal for action by the stakeholders. The DIP is accessible to the stakeholders through secure connectivity, and the relevant information is shared based on their respective roles. However, the platform is not accessible to citizens.‍

What is Chakshu?

Chakshu, which means “eye” in Hindi, is a new feature on the Sanchar Saathi portal. This citizen-friendly platform allows you to report suspicious communication you receive via calls, SMS, or WhatsApp. “Chakshu” is a new advanced tool to safeguard against modern-day cybercriminal activities. Chakshu is a sophisticated design that uses the latest technologies for assembling and analyzing digital information and provides law enforcement agencies with useful data on what should be done next. Below are some of its attributes.

Here are some examples of what you can report:

-       Fraudulent messages claiming your KYC (Know Your Customer)details need to be updated.

-       Fraudulent requests to update your bank account, payment wallet, or SIM card details.

-       Phishing attempts impersonating government officials or relatives asking for money.

-       Fraudulent threats of disconnection of your sim connections.

How Chakshu Aims to crackdown Cybercrime and Financial Frauds

Chakshu is a new tool on the Sanchar Saathi platform that invites individuals to report suspected fraudulent communications received by phone, SMS, or WhatsApp. These fraudulent activities may include attempts to deceive individuals through schemes such as KYC expiry or update requests for bank accounts, payment wallets, SIM cards, gas connections, and electricity connections, sextortion, impersonation of government officials or relatives for financial gain, or false claims of mobile number disconnection by the Department of Telecommunications.

The tool is well-designed and equipped to help the investigators with actionable intelligence and insights, enabling LEAs to conduct targeted investigations on financial frauds and cyber-crimes; the tool helps in gathering a comprehensive data analysis and evidence collection capability by mapping out the connection between individuals, organizations and illicit activities, it, therefore, allows the law enforcement agencies in dismantling criminal activities and help the law enforcement agencies.

Chakshu’s Impact

India has launched Chakshu, a digital intelligence tool that strengthens the country's cybersecurity policy. Chakshu employs modern technology and real-time data analysis to enhance India's cyber defenses. Law enforcement can detect and neutralize possible threats by taking proactive approach to threat analysis and prevention before they become significant crises. Chakshu also improves the resilience of critical infrastructure and digital ecosystems, safeguarding them against cyber-attacks. Overall, Chakshu plays an important role in India's cybersecurity posture and the protection of national interests in the digital era.

Where can Chaksu be accessed?

Chakshu can be accessed through the government's Sanchar Saathi web portal:https://sancharsaathi.gov.in

Conclusion

The launch of the Digital Intelligence Platform and Chakshu facility is a step forward in safeguarding citizens from cybercrimes and financial fraud. These initiatives use advanced technology and stakeholder collaboration to empower law enforcement agencies. The Department of Telecommunications' proactive approach demonstrates the government's commitment to cybersecurity defenses and protecting digital assets, ensuring a safer digital environment for citizens and critical infrastructure.

References

• https://telecom.economictimes.indiatimes.com/news/policy/dot-launches-digital-intelligence-portal-chakshu-facility-to-curb-cybercrimes-financial-frauds/108220814
• https://bankingfrontiers.com/digital-intelligence-platform-launched-to-curb-cybercrime-financial-fraud/
• https://www.business-standard.com/india-news/calcutta-hc-justice-abhijit-gangopadhyay-sends-his-resignation-to-prez-cji-124030500367_1.html
• https://www.the420.in/dip-chakshu-government-launches-powerful-weapons-against-cybercrime/
• https://pib.gov.in/PressReleaseIframePage.aspx?PRID=2011383

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Introduction
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Generative AI, particularly deepfake technology, poses significant risks to security in the financial sector. Deepfake technology can convincingly mimic voices, create lip-sync videos, execute face swaps, and carry out other types of impersonation through tools like DALL-E, Midjourney, Respeecher, Murf, etc, which are now widely accessible and have been misused for fraud. For example, in 2024, cybercriminals in Hong Kong used deepfake technology to impersonate the Chief Financial Officer of a company, defrauding it of $25 million. Surveys, including Regula’s Deepfake Trends 2024 and Sumsub reports, highlight financial services as the most targeted sector for deepfake-induced fraud.

Deepfake Technology and Its Risks to Financial Systems

India’s financial ecosystem, including banks, NBFCs, and fintech companies, is leveraging technology to enhance access to credit for households and MSMEs. The country is a leader in global real-time payments and its digital economy comprises 10% of its GDP.  However, it faces unique cybersecurity challenges. According to the RBI’s 2023-24 Currency and Finance report, banks cite cybersecurity threats, legacy systems, and low customer digital literacy as major hurdles in digital adoption. Deepfake technology intensifies risks like:

• Social Engineering Attacks: Information security breaches through phishing, vishing, etc. become more convincing with deepfake imagery and audio.
• Bypassing Authentication Protocols: Deepfake audio or images may circumvent voice and image-based authentication systems, exposing sensitive data.
• Market Manipulation: Misleading deepfake content making false claims and endorsements can harm investor trust and damage stock market performance.
• Business Email Compromise Scams: Deepfake audio can mimic the voice of a real person with authority in the organization to falsely authorize payments.
• Evolving Deception Techniques: The usage of AI will allow cybercriminals to deploy malware that can adapt in real-time to carry out phishing attacks and inundate targets with increased speed and variations. Legacy security frameworks are not suited to countering automated attacks at such a scale.

Existing Frameworks and Gaps

In 2016, the RBI introduced cybersecurity guidelines for banks, neo-banking, lending, and non-banking financial institutions, focusing on resilience measures like Board-level policies, baseline security standards, data leak prevention, running penetration tests, and mandating Cybersecurity Operations Centres (C-SOCs). It also mandated incident reporting to the RBI for cyber events. Similarly, SEBI’s Cybersecurity and Cyber Resilience Framework (CSCRF) applies to regulated entities (REs) like stock brokers, mutual funds, KYC agencies, etc., requiring policies, risk management frameworks, and third-party assessments of cyber resilience measures. While both frameworks are comprehensive, they require updates addressing emerging threats from generative AI-driven cyber fraud.

Cyberpeace Recommendations 

• AI Cybersecurity to Counter AI Cybercrime: AI-generated attacks can be designed to overwhelm with their speed and scale. Cybercriminals increasingly exploit platforms like LinkedIn, Microsoft Teams, and Messenger, to target people.  More and more organizations of all sizes will have to use AI-based cybersecurity for detection and response since generative AI is becoming increasingly essential in combating hackers and breaches.
• Enhancing Multi-factor Authentication (MFA):  With improving image and voice-generation/manipulation technologies, enhanced authentication measures such as token-based authentication or other hardware-based measures, abnormal behaviour detection, multi-device push notifications, geolocation verifications, etc. can be used to improve prevention strategies.  New targeted technological solutions for content-driven authentication can also be implemented.
• Addressing Third-Party Vulnerabilities: Financial institutions often outsource operations to vendors that may not follow the same cybersecurity protocols, which can introduce vulnerabilities. Ensuring all parties follow standardized protocols can address these gaps.
• Protecting Senior Professionals: Senior-level and high-profile individuals at organizations are at a greater risk of being imitated or impersonated since they hold higher authority over decision-making and have greater access  to sensitive information. Protecting their identity metrics through technological interventions is of utmost importance.
• Advanced Employee Training:  To build organizational resilience, employees must be trained to understand how generative and emerging technologies work. A well-trained workforce can significantly lower the likelihood of successful human-focused human-focused cyberattacks like phishing and impersonation.
• Financial Support to Smaller Institutions: Smaller institutions may not have the resources to invest in robust long-term cybersecurity solutions and upgrades. They require financial and technological support from the government to meet requisite standards.

Conclusion

According to The India Cyber Threat Report 2025 by the Data Security Council of India (DSCI) and Seqrite, deepfake-enabled cyberattacks, especially in the finance and healthcare sectors, are set to increase in 2025. This has the potential to disrupt services, steal sensitive data, and exploit geopolitical tensions, presenting a significant risk to the critical infrastructure of India. 

As the threat landscape changes,  institutions will have to continue to embrace AI and Machine Learning (ML) for threat detection and response. The financial sector must prioritize robust cybersecurity strategies, participate in regulation-framing procedures, adopt AI-based solutions, and enhance workforce training, to safeguard against AI-enabled fraud. Collaborative efforts among policymakers, financial institutions, and technology providers will be essential to strengthen defenses.

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Sources 

• https://sumsub.com/newsroom/deepfake-cases-surge-in-countries-holding-2024-elections-sumsub-research-shows/ 
• https://www.globenewswire.com/news-release/2024/10/31/2972565/0/en/Deepfake-Fraud-Costs-the-Financial-Sector-an-Average-of-600-000-for-Each-Company-Regula-s-Survey-Shows.html 
• https://www.sipa.columbia.edu/sites/default/files/2023-05/For%20Publication_BOfA_PollardCartier.pdf 
• https://edition.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk/index.html 
• https://www.rbi.org.in/Commonman/English/scripts/Notification.aspx?Id=1721 
• https://elplaw.in/leadership/cybersecurity-and-cyber-resilience-framework-for-sebi-regulated-entities/ 
• https://economictimes.indiatimes.com/tech/artificial-intelligence/ai-driven-deepfake-enabled-cyberattacks-to-rise-in-2025-healthcarefinance-sectors-at-risk-report/articleshow/115976846.cms?from=mdr 

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Introduction

Privacy has become a concern for netizens and social media companies have access to a user’s data and the ability to use the said data as they see fit. Meta’s business model, where they rely heavily on collecting and processing user data to deliver targeted advertising, has been under scrutiny. The conflict between Meta and the EU traces back to the enactment of GDPR in 2018. Meta is facing numerous fines for not following through with the regulation and mainly failing to obtain explicit consent for data processing under Chapter 2, Article 7 of the GDPR. ePrivacy Regulation, which focuses on digital communication and digital data privacy, is the next step in the EU’s arsenal to protect user privacy and will target the cookie policies and tracking tech crucial to Meta's ad-targeting mechanism. Meta’s core revenue stream is sourced from targeted advertising which requires vast amounts of data for the creation of a personalised experience and is scrutinised by the EU. 

Pay for Privacy Model and its Implications with Critical Analysis

Meta came up with a solution to deal with the privacy issue - ‘Pay or Consent,’ a model that allows users to opt out of data-driven advertising by paying a subscription fee. The platform would offer users a choice between free, ad-supported services and a paid privacy-enhanced experience which aligns with the GDPR and potentially reduces regulatory pressure on Meta. 

Meta presently needs to assess the economic feasibility of this model and come up with answers for how much a user would be willing to pay for the privacy offered and shift Meta’s monetisation from ad-driven profits to subscription revenues. This would have a direct impact on Meta’s advertisers who use Meta as a platform for detailed user data for targeted advertising, and would potentially decrease ad revenue and innovate other monetisation strategies.

For the users, increased privacy and greater control of data aligning with global privacy concerns would be a potential outcome. While users will undoubtedly appreciate the option to avoid tracking, the suggestion does beg the question that the need to pay might become a barrier. This could possibly divide users between cost-conscious and privacy-conscious segments. Setting up a reasonable price point is necessary for widespread adoption of the model.

For the regulators and the industry, a new precedent would be set in the tech industry and could influence other companies’ approaches to data privacy. Regulators might welcome this move and encourage further innovation in privacy-respecting business models. 

The affordability and fairness of the ‘pay or consent’ model could create digital inequality if privacy comes at a digital cost or even more so as a luxury. The subscription model would also need clarifications as to what data would be collected and how it would be used for non-advertising purposes. In terms of market competition, competitors might use and capitalise on Meta’s subscription model by offering free services with privacy guarantees which could further pressure Meta to refine its offerings to stay competitive. According to the EU, the model needs to provide a third way for users who have ads but are a result of non-personalisation advertising.

Meta has further expressed a willingness to explore various models to address regulatory concerns and enhance user privacy. Their recent actions in the form of pilot programs for testing the pay-for-privacy model is one example. Meta is actively engaging with EU regulators to find mutually acceptable solutions and to demonstrate its commitment to compliance while advocating for business models that sustain innovation. Meta executives have emphasised the importance of user choice and transparency in their future business strategies.

Future Impact Outlook

• The Meta-EU tussle over privacy is a manifestation of broader debates about data protection and business models in the digital age. 
• The EU's stance on Meta’s ‘pay or consent’ model and any new regulatory measures will shape the future landscape of digital privacy, leading to other jurisdictions taking cues and potentially leading to global shifts in privacy regulations. 
• Meta may need to iterate on its approach based on consumer preferences and concerns. Competitors and tech giants will closely monitor Meta’s strategies, possibly adopting similar models or innovating new solutions. And the overall approach to privacy could evolve to prioritise user control and transparency.

Conclusion

Consent is the cornerstone in matters of privacy and sidestepping it violates the rights of users. The manner in which tech companies foster a culture of consent is of paramount importance in today's digital landscape. As the exploration by Meta in the ‘pay or consent’ model takes place, it faces both opportunities and challenges in balancing user privacy with business sustainability. This situation serves as a critical test case for the tech industry, highlighting the need for innovative solutions that respect privacy while fostering growth with the specificity of dealing with data protection laws worldwide, starting with India’s Digital Personal Data Protection Act, of 2023.

Reference:

• https://ciso.economictimes.indiatimes.com/news/grc/eu-tells-meta-to-address-consumer-fears-over-pay-for-privacy/111946106 
• https://www.wired.com/story/metas-pay-for-privacy-model-is-illegal-says-eu/ 
• https://edri.org/our-work/privacy-is-not-for-sale-meta-must-stop-charging-for-peoples-right-to-privacy/ 
• https://fortune.com/2024/04/17/meta-pay-for-privacy-rejected-edpb-eu-gdpr-schrems/ 

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