How Cultural Narratives Shape the Misinformation We Believe
Introduction
Misinformation spreads differently with respect to different host environments, making localised cultural narratives and practices major factors in how an individual deals with it when presented in a certain place and to a certain group. In the digital age, with time-sensitive data, an overload of information creates a lot of noise which makes it harder to make informed decisions. There are also cases where customary beliefs, biases, and cultural narratives are presented in ways that are untrue. These instances often include misinformation related to health and superstitions, historical distortions, and natural disasters and myths. Such narratives, when shared on social media, can lead to widespread misconceptions and even harmful behaviours. For example, it may also include misinformation that goes against scientific consensus or misinformation that contradicts simple, objectively true facts. In such ambiguous situations, there is a higher probability of people falling back on patterns in determining what information is right or wrong. Here, cultural narratives and cognitive biases come into play.
Misinformation and Cultural Narratives
Cultural narratives include deep-seated cultural beliefs, folklore, and national myths. These narratives can also be used to manipulate public opinion as political and social groups often leverage them to proceed with their agenda. Lack of digital literacy and increasing information online along with social media platforms and their focus on generating algorithms for engagement aids this process. The consequences can even prove to be fatal.
During COVID-19, false claims targeted certain groups as being virus spreaders fueled stigmatisation and eroded trust. Similarly, vaccine misinformation, rooted in cultural fears, spurred hesitancy and outbreaks. Beyond health, manipulated narratives about parts of history are spread depending on the sentiments of the people. These instances exploit emotional and cultural sensitivities, emphasizing the urgent need for media literacy and awareness to counter their harmful effects.
CyberPeace Recommendations
As cultural narratives may lead to knowingly or unknowingly spreading misinformation on social media platforms, netizens must consider preventive measures that can help them build resilience against any biased misinformation they may encounter. The social media platforms must also develop strategies to counter such types of misinformation.
- Digital and Information Literacy: Netizens must encourage developing digital and information literacy in a time of information overload on social media platforms.
- The Role Of Media: The media outlets can play an active role, by strictly providing fact-based information and not feeding into narratives to garner eyeballs. Social media platforms also need to be careful while creating algorithms focused on consistent engagement.
- Community Fact-Checking: As localised information prevails in such cases, owing to the time-sensitive nature, immediate debunking of precarious information by authorities at the ground level is encouraged.
- Scientifically Correct Information: Starting early and addressing myths and biases through factual and scientifically correct information is also encouraged.
Conclusion
Cultural narratives are an ingrained part of society, and they might affect how misinformation spreads and what we end up believing. Acknowledging this process and taking counter measures will allow us to move further and take steps for intervention regarding tackling the spread of misinformation specifically aided by cultural narratives. Efforts to raise awareness and educate the public to seek sound information, practice verification checks, and visit official channels are of the utmost importance.
References
- https://www.icf.com/insights/cybersecurity/developing-effective-responses-to-fake-new
- https://www.dw.com/en/india-fake-news-problem-fueled-by-digital-illiteracy/a-56746776
- https://www.apa.org/topics/journalism-facts/how-why-misinformation-spreads
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The Emerging Landscape of AI-Enabled Sign Language Technologies
Consumer technology has been moving in a single, steady direction for decades: machines are getting increasingly sensitive to human speech. The phone transcribes what we say into it. An algorithm responds to a question we ask. With just one tap, we can translate across languages. However, sign language, one of the most essential forms of human expression, has largely escaped this change for millions of Deaf and hard-of-hearing people. At last, that omission may finally be narrowing.
For the first time, sign language recognition is now widely available in consumer goods thanks to Google DeepMind’s massively multilingual sign language-to-text model. Starting with American Sign Language to English, the technology currently powers sign-to-text dictation within Gboard and Live Transcribe on Pixel 11. Additional devices and languages are promised. In addition to using Live Transcribe to sign during live conversations, users can sign anywhere they would normally type, such as while conducting a web search, writing a message or interacting with an AI assistant. However, this development’s importance goes far beyond a single accessibility function.
Reimagining How We connect with Technology
The most noteworthy is a conceptual change, sign language is starting to be recognised as a valid interface for human-computer interaction in and of itself , rather than as a modality that technology can accept. Because sign languages are not spoken languages that are represented by hand, this distinction is important. The hands, arms, torso, head and facial expressions all simultaneously convey meaning in these independent natural languages, which have their own grammar, vocabulary and syntax. Compared to traditional voice recognition, this presents a far more complex computing task.
In terms of architecture, the model does not keep raw video instead, it processes pose landmark sequences. The original footage may be destroyed while an on-device mechanism tracks locations on the signer’s body and transmits only geometric coordinates for translation. Instead than using intermediate “gloss” representations, which sometimes lose the spatial and non-manual components crucial to meaning, translation happens directly. Accessibility and privacy meet at this point, a technology designed to grant independence shouldn’t require the surrender of personal biometric information in return.
The Indian question is larger than ASL
A more significant concern for India is raised by this development, whose sign language will artificial intelligence eventually comprehend? It is not possible to import an ASL-to-English model and claim it to be a solution. The linguistic architecture, communities and regional variations of Indian Sign Language are unique. ISL recognition and its translation into Hindi, Telugu and Bengali are the subject of an expanding amount of study yet this same research openly highlights the shortcomings of existing systems including limited vocabularies, isolated word recognition and noticeable sensitivity to individual signing style.
This is not a coincidental distinction. Benchmark accuracy alone cannot be used to gauge inclusive AI; instead, it must be effective under typical circumstances for a variety of individuals, geographical locations and sign languages. It is clear from research on low resource sign languages that over three hundred sign languages are still woefully under-resourced and under-documented. A growing body of research supports signer-adaptive modelling, privacy preserving representations, community co-design and dialectical variety preservation. Therefore, making data collecting, engagement and design more truly inclusive may be the next real advancement rather than further scaling models.
A Legal Architecture already in place
India’s statutory framework offers a firm foundation for this trajectory. The Rights of Persons with Disabilities Act, 2016 defines universal design broadly enough to include cutting edge technologies and assistive devices. It is based on the ideals of equality, dignity, participation and accessibility. Information and communication technology access is specifically covered by Section 42, which requires captioning, sign language interpretation, accessible electronic content and universal design in common electronic products. In this context, accessible AI is an issue of statutory rights rather than technological generosity. This stance is supported by the UN Convention on the Rights of Persons with Disabilities, which addresses accessibility in Article 9 and information access and freedom of speech in Article 21. As a result, the central policy topic is changing from whether technology should be made accessible to how accessibility should be incorporated from the start.
Beyond sign-to-text
Beyond Transcription, Google has expressed aspirations for more sign languages, sign language production and expanded AI capabilities. Future architecture could be imagined as running along a continuous circuit that connects sign, text, speech and AI in both directions rather than just from sign to text. A consumer could deal with a bank without completely relying on an interpreter; a student could learn in her favourite language; or someone could sign a question to an assistant and could get an answer in generated sign language. However , there are still important unanswered questions about this future, such as who owns the data used to train these systems, how signers’ meaningful consent is obtained, how systematic misrecognition of specific communities is prevented and who is responsible when translation fails in an emergency, legal or medical setting.
The Real Measure of Inclusion
The mere fact that a machine has discovered something humans have long understood makes it easy to characterise innovations like these as breakthroughs. The most accurate way to put it is that technology becomes inclusive when individuals can use it without changing who they are or how they interact, not when it acknowledges more human behaviours. This means that India must continue to invest not only in models but also in Indian Sign Language databases, community-led research, accessibility standards and the meaningful involvement of the Deaf and hard-of-hearing populations in both design and evaluation. The ability of a system to detect a hand gesture will not define the future of accessible AI.
References
- https://aclanthology.org/2025.wslp-main.5/
- The Rights of Persons with Disabilities Act 2016 (Act No 49 of 2016), s 42.
- Convention on the Rights of Persons with Disabilities (adopted 13 December 2006, entered into force 3 May 2008) 2515 UNTS 3, art 9.
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Introduction
The advent of frontier AI has significantly widened the range of actors who can launch cyberattacks, extending beyond state actors with immense capabilities or organized professional cybercriminal rings. In its most critical advisory, CIAD-2026-0020, titled "Defending against frontier AI-driven cyber risks," which was released on April 26, 2026, the Indian Computer Emergency Response Team (CERT-In) officially stated that AI can now carry out autonomous cyber activities of unprecedented scale and speed. The advisory highlights that these frontier AI models can perform automated reconnaissance, phishing, malware creation, vulnerability identification, and social engineering with minimal human involvement, thus "lowering the barrier to orchestrating complex cyber attacks." The risks that such AI models pose are not restricted to state actors and corporate entities anymore and also extend to MSMEs, public organizations, and individuals.
India’s Escalating Cybercrisis
The Indian digital economy has been developing at a very fast pace, but the same cannot be said about its cybersecurity. Having a base of over 850 million internet users and a digital payment sector that records a massive 22,495 crore in monthly transaction volumes, coupled with the fastest-growing cloud sector in the world, India continues to remain a lucrative prey for cybercriminals. There were over 265 million attempts reported in the last year, 2025, alone, where close to 46% of all incidents detected were in enterprises with fewer than 1,000 employees, a very grave reality for MSMEs. MHA confirmed there were 28.15 lakh reported cybercrime complaints in 2025 as compared to 2024, with a jump of 24%. In this worsening environment the advisory is a breakthrough in Indian cyber governance. Where previously advisories covered only conventional threats like phishing and malware, the new warning names frontier agentic AI systems as autonomous multipliers of threats, capable of conducting operations at scale and speed with significantly reduced human oversight.
What is “Frontier AI” and why does it matter?
CERT-In’s decision to adopt the term "Frontier AI" is deliberate and meaningful. The advisory’s scope is a new category of agentic AI, which moves well beyond traditional chatbot-style AI, having the capacity to reason, plan, perform multiple actions in a single task autonomously, and carry out complicated tasks with minimal or no human guidance. CERT-In highlights that these tools now possess the capabilities that were "previously carried out by a coordinated team of skilled cybersecurity professionals." The advisory clearly flags the risk that these advanced models have the capability to generate malicious code, conduct network scans, probe systems for vulnerabilities, and even orchestrate intricate multi-stage cyberattacks in a single session. Their capacity to analyse a vast number of source code libraries to identify vulnerabilities, even unknown zero-day ones, and then develop proof-of-concept exploits at high speed. This means that the historical lead time to turn a vulnerability discovery into an exploit tool has reduced from weeks to just hours.
Six Core Threat Vectors identified by CERT-In
- AI-driven Automatic Zero-Day Discovery: AI-based solutions discover zero-day vulnerabilities and automatically create exploits in minutes, reducing the time taken by defenders.
- AI-driven Autonomous Reconnaissance: AI-driven agents scan cloud infra, APIs, and enterprise networks and outline attack vectors.
- AI-driven phishing & deepfakes: Multilingual, highly targeted phishing emails, deepfake audio, and deepfake voice/video calls bring sophistication to social engineering.
- Deepfake Financial Fraud: AI creates deepfake executives for high-value money transfers. For example, reports have indicated crore-level fund loss cases in India.
- AI-powered Autonomous Attack Chains: Advanced AI models are able to automatically perform multiple malicious stages like privilege escalation, lateral movement, data exfiltration, and data extraction.
- Cascading failures of interconnected systems: A single AI-supported security breach can have catastrophic domino effects on connected digital systems and critical infrastructures.
Why are MSMEs a target?
CERT-In’s warning is specifically targeted toward the weakness of the Indian MSMEs. Contributing almost 30% to India's GDP and employing over 110 million individuals, most MSMEs have failed to adequately prepare themselves against contemporary cyber threats. While a large corporation would have a full-time cybersecurity team, a security operation centre, and frequent vulnerability assessments, the majority of MSMEs lack such infrastructure due to budget constraints, out-of-date software, etc. This lack of security has proved to be quite disadvantageous for smaller businesses, as India was identified as one of the top global targets for cyberattacks, where approximately 46% of the total breaches worldwide targeted organizations having fewer than 1000 employees. The advisory claims that frontier AI systems have significantly increased the threats, for the skills necessary to carry out advanced cyberattacks have dramatically decreased. Ransomware, phishing and data exfiltration can be executed by even unsophisticated attackers. The aftermath could result in critical financial, operational, and compliance impact on these MSMEs.
The Global Context
These developments seem to validate CERT-In's warning about threats posed by frontier AI. In its 2026 State of Cybersecurity Report, ISACA listed AI-related threats as the top concern of cybersecurity professionals; 61% of those surveyed reported generative AI/large language models as the top technology trend impacting cyber risk. Worryingly, in 2026 only 7% were confident in their organizations' defenses against ransomware. Check Point Software's Cyber Security Report 2026 corroborates this; in 2025 the report stated that in a single year, the trend of combined social engineering-based campaigns with automated operational execution has risen considerably. In all phases of the lifecycle of a cyberattack reconnaissance, social engineering, and tactical decision-making AI is being applied. KPMG is warning of deepfake-enabled fraud now "spreading at a faster rate than that experienced at the beginning of the phishing era, which is currently still the leading type of attack in the world."
CERT-In Recommendations
For Large Organisations:
- The use of security monitoring, threat detection, and log analysis should be increased.
- DDoS protection systems and multi-factor authentication (MFA) should be implemented on all internet-facing devices and assets.
- Critical security patches should be installed within 24 hours of release.
- Old VPN and remote-access infrastructure should be updated or replaced.
- AI-driven cyber drills and incident response simulations should be regularly performed.
For MSMEs:
- Software and security updates should be automatically enabled on all devices and systems.
- MFA should be enabled on organisational accounts and sensitive platforms.
- MSMEs should utilize MSSPs for specialized support and monitoring.
- Detailed inventories of IT assets and system logs should be kept for fast incident response.
- Staff should be educated about identifying AI-generated phishing, deepfakes, and scams.
For Individuals:
- Independent communication channels should be used to verify any dubious message or money request.
- Software from unverified sources or unauthorised channels should not be downloaded.
- The use of strong and unique passwords along with MFA wherever possible should be enforced.
From Advisory to Action
The May 2026 cybersecurity road map released by CERT-In signals a departure from identification of threats to enabling operations against frontier AI-led cyber threat landscapes. This initiative builds on their April advice and delineates a clearly articulated three-phase roadmap comprising immediate cyber readiness, AI governance controls, and deep integration of AI-driven defenses. It also provides for the establishment of a focused AI Cyber Defense Center and various multisector governance provisions. A prominent area is the increased threat of impersonation via deepfakes, and companies are encouraged to institute executive verification procedures prior to approving high-value transactions. The framework also emphasizes the establishment of an AI asset register requiring formal accounting and governance of all AI systems utilized in an enterprise. Meanwhile, CERT-In also recognizes the twin-use nature of frontier AI: for every threat, the same technology can bolster security with automated threat detection, phishing, and log analysis in real time. However, the deployment of state-of-the-art defenses is uneven, especially with MSMEs, where there isn’t the requisite domain expertise and funding for this infrastructure. Accordingly, the road map puts the emphasis on immediate and stronger cyber hygiene, compulsory incident reporting, enhancing AI literacy, and proper implementation of the Digital Personal Data Protection Act for long-term security investment and resilience.
Conclusion
The CERT-In advisory CIAD-2026-0020 signifies a vital acknowledgment of AI's transformational impact on the cybersecurity ecosystem. Capabilities formerly exclusive to elite state actors are being deployed by low-skilled users, leveraging state-of-the-art frontier AI tools. India’s MSMEs, enterprises, and digital citizens are experiencing a rapidly accelerating threat milieu. In this context, the CERT-In advisory and the ensuing blueprint can no longer be dismissed as ordinary government pronouncements but as critical operational imperatives. It is the country’s ability over the next few years to shore up its collective cyber resilience to the ever-increasing scale and sophistication of AI-powered attacks that will prove crucial.
References:
- https://www.cert-in.org.in/s2cMainServlet?pageid=PUBVLNOTES02&VLCODE=CIAD-2026-0020
- https://www.zeebiz.com/technology/news-cert-in-flags-high-severity-ai-cyber-risks-amid-claude-mythos-concerns-394448
- https://www.business-standard.com/technology/tech-news/cert-in-warning-ai-scams-frontier-models-mythos-gpt-5-5-what-it-means-126042800988_1.html
- https://www.businesswire.com/news/home/20251020612551/en/
- https://corporate.indiamart.com/2025/07/29/staying-ahead-of-cyber-threats/
- https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2025/deepfakes-real-threat.pdf

Introduction
Imagine a scenario where a call is received by a senior citizen. The phone rings, he picks up. On the other side of the line is a polite and seemingly genuine bank official who informs him that his bank account has somehow been jeopardised and that he should quickly move his money to a safer escrow account right away. Or another situation where a police officer ends up threatening a senior citizen over a video call and places him under a digital arrest, pressuring him to pay up money in order to be set free.
This is not the storyline of a heist movie. This is the frightening new digital reality of millions of elderly people living all over the world.
Cybercrime against senior citizens has surged dramatically over the last few years. The year 2023 witnessed people (aged 60 and above), who submitted more than 101,000 complaints to the Federal Bureau of Investigation’s (FBI) Internet Crime Complaint Centre (IC3) in the United States. The total losses reached approximately 3.4 billion dollars, which reflected an increase of 11% in comparison to the previous year. Tech-support scams, investment frauds, government impersonation schemes, etc., have been some of the most recent and significant risks to the financial security of senior citizens.
This sharp increase in cyber fraud that has been targeting the seniors has shocked everyone, from the authorities to families. From phishing emails to fake customer care numbers to various digital payment scams, cyber criminals have deliberately been exploiting the senior population. They have repeatedly displayed the ability to wipe out a senior’s entire lifetime of savings in just a matter of minutes. The rise in cyber scams has been so alarming that even the Supreme Court of India expressed a deep concern over an estimated 3,000 crore rupees that was lost due to digital arrest scams.
Behind these statistics, there have been several individual cases that have revealed the true reality and the personal impact of such scams. The scale of this threat was clearly illustrated when, reportedly, an 86-year-old woman from Mumbai lost 20 crore rupees in a well-planned digital arrest scam in a timeline of 3-4 months between December 2024 and March 2025. In other real-life instances, in December 2025, multiple senior citizens from Hyderabad and Delhi were manipulated into transferring tens of lakhs under the false implication of undergoing a legal action.
This blog aims to focus specifically on the ways and means of:
- How cybercriminals operate against senior citizens,
- The most typical online scams that target seniors and
- How to quickly identify them.
Revealing the Insides of the Scammer’s Playbook: How They Operate, Trick and Steal
- Picking out the prey: Fraudsters use classified information from various leaked online databases, social media profiles, online images, phone directories and in some instances, even obituaries, to build comprehensive lists of potential and vulnerable senior citizen targets. It may be shocking to know that these scammers could already be aware of your age, bank, city and the details of your family members.
- Masquerading and trust theatrics: Scammers pose as authoritative figures such as bank officers, RBI (Reserve Bank of India) or tax officials, telecom staff, Microsoft or Apple tech support, CBI (Central Bureau of Investigation), ED (Enforcement Directorate) and even judges. They further support this spectacle by creating professional emails, logos, illegal websites and forged notices. Caller IDs can be spoofed and can even appear in the name of a trusted bank or a government helpline. In digital arrest scams, scammers may build a fake courtroom or police station to showcase their authority and authenticity over video calls.
- Tugging at emotions and pulling the strings of fear: Cyber fraudsters rarely rely on logic as the basis. Instead, they attack emotions. They may make statements such as: ‘your account is being used for money laundering, you may be arrested today’, thus creating feelings of fear and panic in the mind of the targeted individual. ‘You’ve won a lottery!’, another example that appeals to the emotions of greed and excitement, or ‘Grandma, I’ve been in an accident; please send money and don’t tell anyone’, a classic example that preys on the emotions of love, urgency and concern.
There are more such illustrations: ‘Once in a lifetime investment opportunity’, ‘verify your details in the next 10 minutes or else your account will be frozen, ‘your computer has been hacked; only our technical team can fix it’, and the list goes on.
- The final grab: Cash, Credentials and Control: After all that pretending and emotional manipulation, cyber criminals make their last and final move that essentially closes the deal. They may ask for OTPs (one-time passwords), internet banking credentials, or remote access via screen sharing mode. In other cases, they may pressurise their victims into making direct UPI (Unified Payments Interface) transfers, RTGS (Real-time Gross Settlement) / NEFT (National Electronic Funds Transfer) transfers and payment in the form of gift cards, vouchers or cryptocurrency. This marks the extraction phase. This is the moment where access and control is attained by the fraudster. After this, financial accounts, sensitive information, data, etc., can all be quickly drained, beyond any chance of recovery.
Unveiling the Cyber Scam Spectrum
Below are some of the most commonly deployed online scams that are targeted towards the senior citizens of the present day.
- Imposters in Power: Impersonation scams, on a global level, have proved to be one of the fastest-growing and costliest frauds that occur against seniors. The scammers feign and impersonate officials from banks, income tax departments or even big companies such as Amazon. They would generally warn you about a failed KYC (Know Your Customer) update, your account being blocked or a legal violation. The victim is basically caught off-guard and is forced to share crucial details such as login credentials and OTPs.
- The Digital Arrest Scam: From Call to Con: Lately, digital arrest has become one of the most terrifying scams that senior citizens have had to face. Seniors receive a voice call or a video call from someone who claims to be a police officer or a CBI/ED officer. Then, in a strict and authoritative tone, they make false claims about how the elderly’s Aadhaar, PAN (Permanent Account Number) or phone details have come under scrutiny for being linked to serious crimes such as drug trafficking, money laundering and terrorism. They threaten the elderly that they could be put under immediate arrest, their property could be seized, or they could be publicly humiliated. Once they have established fear, they then go on to show fake documents or court orders to corroborate their assertions.
Thereafter, the senior citizen is informed that he or she has been placed under a digital house arrest. They force the victim to stay on the video call, sometimes for hours and days, ask them to follow certain instructions and repeatedly warn them not to communicate with anyone else. Scammers further exploit the fear of being jailed or the fear of legal action, and gradually extract huge sums of money from the victim. In some cases, this scam can unfold and continue over an extended timeline spanning several months.
- Tech Support Hoax: When Help turns Hostile: As per the FBI and other multiple security analyses, tech support scams are the most commonly reported senior citizen-related frauds in the US.
A pop-up may appear on the elderly’s screen stating that: ‘your computer is infected, call this number now’. Or they might receive a call from a person posing as a tech support person from either Microsoft, Apple, a bank’s IT team or as an internet service provider. He then goes on to guide the elderly to install certain remote access software or to grant screen control access to fix the issue. Once they gain access, they pretend to find some serious infection in the user’s system or they talk about how the speed of the internet is slow and that it needs to be fixed. As a result, they quietly steal passwords, introduce malware into perfectly healthy systems, lock user access and demand ransom in return.
- Payment App Scams: Phishing, Deadly Links and OTP Snares: Phishing as a cyber scam tactic sits at the heart of many payment app scams that target senior citizens. It may begin with a harmless SMS, an email or a WhatsApp alert. These correspondences may look like they have been received from a trusted bank or a familiar online payment platform.
The messages are engineered in a way that aim at grabbing attention and trigger a feeling of panic and pressure. They push the elderly users who spring into action without any caution or thought. The victim may be urged to click a link, coupled with warnings of a blocked account, a failed transaction, a failed delivery or a KYC update. The message may also ask the user to ‘verify’ certain account details. They send urgent payment links that put pressure on the senior citizen to act immediately and transfer the said amount of money.
There are also instances where an SMS or WhatsApp link may claim to offer some kind of discount or reward only if the user enters his or her card details, UPI pin or OTP. This is an extremely dangerous scenario. If these details are given away, scammers acquire access to the user’s bank account.
- Family in Crisis: Staging Fake Emergencies: These cyber-enabled scams, also known as ‘grandparent scams’, specifically target senior citizens by impersonating their kin and creating a fake impression of them being in some kind of trouble. With the help of methods such as AI (Artificial Intelligence) voice cloning, fraudsters mimic the voice of a grandchild or a family member (which they originally obtain from social media posts or videos), making their deception tactics extremely believable. The caller may claim to be in an accident or could say they have been arrested or are stranded somewhere. They may plead with the senior citizen to make an immediate payment.
In order to avoid cross verification of their fraudulent claims, they may insist on maintaining secrecy and brainwash their victim to not inform other family members of their made-up dilemma.
- Fraudulent Friendships and Hijacked Hearts: For many senior citizens who live alone and in the absence of family and support systems, isolation becomes a vulnerability that is very hard to overcome. Fraudsters, who closely monitor such individuals, wait to seize any opportunity to use this weakness as a gateway to carry out their deceptive schemes.
‘Companionship scams’ and ‘romance scams’ are slowly turning into a serious problem among older adults. Cyber criminals befriend or connect with older adults on social networking, matrimonial and dating apps under false pretences. As time goes by, sometimes over weeks or months, these scammers work on building emotional intimacy and trust. Once this is accomplished, they then start making requests for money. These requests can be for (fake) medical emergencies, visas, travel tickets or business deals. Sadly, victims, who are already deeply invested emotionally, end up making these money transfers, sometimes losing their lifetime savings in the process.
In some cases, when things go too far, intimate photos or private conversations are later used by cyber fraudsters for sextortion. They threaten to leak these personal materials unless the victim pays money, further adding elements of fear and pressure to an already manipulative situation.
- Fraud in the name of Health and Benefits: For most senior citizens, their daily life depends on access to basic healthcare, uninterrupted pensions and government benefits. These systems are put in place to provide not just for the seniors’ financial stability, but also to ensure their peace of mind.
Conversely, fraudsters exploit this dependability. Fake medical offers, insurance plans, benefit claims and pension enhancement schemes, etc., are some of the methods that are being used to defraud the seniors. Scammers offer free medical equipment or health checkups in exchange for personal information related to banking and finances.
Another dangerous facet of these scams is ‘counterfeit medications’. These are sold under false claims and big promises and are advertised in a manner that tempts seniors to go for it. These fake medicines not only lead to loss of money but also gravely impact the elderly’s health.
Spot the Scam: Tips to Identify Early Warning Signs before the Scam Unfolds
Cyber criminals are clever, creative and notorious, but their tricks come with familiar warning signs. Timely recognition of these signs can save senior citizens from falling into the scammer’s trap. Some of the most common and apparent warning signs are discussed below:
- Don’t think fast, think twice! The urgency ploy: Cyber criminals thrive on creating a situation of panic and urgency. In instances where a senior citizen feels that he or she is being pushed towards rushed choices, it is better to take a step back to pause and think. Any unreasonable demand to act ‘immediately’ or within minutes, especially when it involves a transfer of money or confidential information, is very likely to be a scam. Not giving in to this hasty push can save the individual from getting tangled in the scammer’s web of lies.
- Scammer’s best friend: Secrecy and silence: First comes the urgency, and then comes the demand to stay silent. Scammers strategically cite and invent so-called ‘security reasons’ and instruct their elderly victims not to inform their bank, friends or family of their situation. This secrecy prevents verification and keeps the victim trapped. Recognising this forced isolation can stop a cybercrime before it escalates and gets out of hand.
- Red flag! When the deal sounds unreal: Scammers lure elderly victims with extraordinary offers and deals. Lottery wins, miracle investment returns, massive discounts or exclusive time-bound rewards are a few examples. These larger-than-life promises are designed in a manner that clouds an elderly person’s sound judgment. Therefore, if an offer feels too good to be true and unlike anything anyone’s ever heard before, then that’s the time to pause and take a step back. In almost all such cases, these unbelievable deals are simply a bait for a looming scam.
- Beware! They want your access codes: Senior citizens need to exercise extra caution when it comes to handing out their personal access codes. No legitimate bank, government office or reputable company will directly ask for OTPs, PINs or full passwords over calls or messaging apps. If someone asks for such details, it is an indication that a fraud may be imminent.
- Don’t pay just yet! Dubious payment gambits: If demands for payments are made in the form of gift cards, cryptocurrency or wire transfers to personal or unknown accounts, it is most definitely a scam. Scammers use these unconventional payment methods to avoid traceability. This strategy allows them to easily disappear with the victim’s funds, which in turn makes recovery of the stolen money nearly impossible.
- Threats and intimidation over a phone call: Hang up! It’s a scam: It is important to understand that legitimate police and court proceedings do not take place over calls or messaging apps. Genuine officials will never demand or negotiate fines, legal payments or bail online. If someone uses the intimidation ploy on a senior citizen and threatens him with legal trouble or police action unless some money is paid, then that’s a clear warning sign of a cyber scam.
Empowered, not Exploited: When Knowledge Becomes the Best Defence
Cyber scams targeting senior citizens are a deliberate and very well-orchestrated industry that thrives on uncertainty, ignorance and fear. The call of the moment is for the elderly and their families to turn awareness into armour. Knowledge about how scammers operate, how they steal, and the techniques they employ can prepare and empower our seniors to protect themselves in such critical situations. The early warning signs mentioned above are more than just mere cautions. They should be taken as ‘cues’ to ‘pause, reflect and re-check’. Being wary of unsolicited communication, safeguarding financial information, double-checking hurried correspondences, etc., can nip a scam in the bud before it plays out. Most importantly, digital safety for the senior citizens is a unified and collaborative responsibility that every responsible individual of the society needs to undertake.
References
- https://frontline.thehindu.com/social-issues/ai-deepfake-digital-arrest-scams-india-cybercrime/article70587955.ece
- https://www.ic3.gov/annualreport/reports/2023_ic3elderfraudreport.pdf
- https://www.thehindu.com/news/national/supreme-court-shocked-over-3000-crore-loss-in-digital-arrest-scams/article70235621.ece
- https://www.thehindu.com/news/cities/mumbai/elderly-woman-loses-20-crore-to-digital-arrest-fraud-3-held/article69353437.ece
- https://timesofindia.indiatimes.com/city/hyderabad/three-senior-citizens-duped-of-rs-1-7cr-in-digital-arrest-scam-spree/articleshow/125876194.cms
- https://www.aninews.in/news/national/general-news/82-year-old-senior-citizen-digitally-arrested-and-cheated-of-rs-116-crore-cyber-cell-arrests-three-key-members-of-syndicate20251213145528/
- https://crr.bc.edu/preventing-cyber-scams-that-target-seniors/
- https://dos.ny.gov/scams-targeting-older-adults
- https://indianexpress.com/article/cities/chandigarh/victims-in-8-of-top-10-digital-arrest-scams-in-chandigarh-are-senior-citizens-data-reveals-10444252/
- https://www.seniorliving.org/research/common-elderly-scams/
- https://www.ftc.gov/news-events/data-visualizations/data-spotlight/2025/08/false-alarm-real-scam-how-scammers-are-stealing-older-adults-life-savings
- https://www.psca.org/news/psca-news/2025/8/scams-against-seniors-increasing-dramatically-ftc-warns/
- https://www.pcmatic.com/blog/the-rising-threat-of-elder-fraud-insights-from-ic3s-2023-report/?srsltid=AfmBOorC069NIYFwFO0W56nPcg_K0Wfv_oq0V-MI7fImI5ityAUrQTO9
- https://www.quickheal.co.in/knowledge-centre/guarding-our-elders-a-comprehensive-report-on-the-elder-fraud-epidemic-in-india/?srsltid=AfmBOorviPvoRuecjsOtAfVxyQEJF2vyICnr15GqbDfP1m3UXAnXndMw
- https://www.ncoa.org/article/top-5-financial-scams-targeting-older-adults/
- https://www.uchealth.org/today/elder-fraud-is-rising-and-it-is-hurting-more-than-just-finances/
- https://centerlighthealthcare.org/protecting-yourself-online-recognizing-and-avoiding-online-scams/