#FactCheck -Truth Behind the Viral Snake Rain Video: AI-Generated, Not Real

Introduction

In a world teeming with digital complexities, where information wends through networks with the speed and unpredictability of quicksilver, companies find themselves grappling with the paradox of our epoch: the vast potential of artificial intelligence (AI) juxtaposed with glaring vulnerabilities in data security. It's a terrain fraught with risks, but in the intricacies of this digital age emerges a profound alchemy—the application of AI itself to transmute vulnerable data into a repository as secure and invaluable as gold.

The deployment of AI technologies comes with its own set of challenges, chief among them being concerns about the integrity and safety of data—the precious metal of the information economy. Companies cannot afford to remain idle as the onslaught of cyber threats threatens to fray the fabric of their digital endeavours. Instead, they are rallying, invoking the near-miraculous capabilities of AI to transform the very nature of cybersecurity, crafting an armour of untold resilience by empowering the hunter to become the hunted.

The AI’s Untapped Potential 

Industries spanning the globe, varied in their scopes and scales, recognize AI's potential to hone their processes and augment decision-making capabilities. Within this dynamic lies a fertile ground for AI-powered security technologies to flourish, serving not merely as auxiliary tools but as essential components of contemporary business infrastructure. Dynamic solutions, such as anomaly detection mechanisms, highlight the subtle and not-so-subtle deviances in application behaviour, shedding light on potential points of failure or provoking points of intrusion, turning what was once a prelude to chaos into a symphony of preemptive intelligence.

In the era of advanced digital security, AI, exemplified by Dynatrace, stands as the pinnacle, swiftly navigating complex data webs to fortify against cyber threats. These digital fortresses, armed with cutting-edge AI, ensure uninterrupted insights and operational stability, safeguarding the integrity of data in the face of relentless cyber challenges.

India’s AI Stride

India, a burgeoning hub of technology and innovation, evidences AI's transformative powers within its burgeoning intelligent automation market. Driven by the voracious adoption of groundbreaking technological paradigms such as machine learning (ML), natural language processing (NLP), and Automated Workflow Management (AWM), sectors as disparate as banking, finance, e-commerce, healthcare, and manufacturing are swept up in an investment maelstrom. This is further bolstered by the Indian government’s supportive policies like 'Make in India' and 'Digital India'—bold initiatives underpinning the accelerating trajectory of intelligent automation in this South Asian powerhouse.

Consider the velocity at which the digital universe expands: IDC posits that the 5 billion internet denizens, along with the nearly 54 billion smart devices they use, generate about 3.4 petabytes of data each second. The implications for enterprise IT teams, caught in a fierce vice of incoming cyber threats, are profound. AI's emergence as the bulwark against such threats provides the assurance they desperately seek to maintain the seamless operation of critical business services.

The AI integration 

The list of industries touched by the chilling specter of cyber threats is as extensive as it is indiscriminate. We've seen international hotel chains ensnared by nefarious digital campaigns, financial institutions laid low by unseen adversaries, Fortune 100 retailers succumbing to cunning scams, air traffic controls disrupted, and government systems intruded upon and compromised. Cyber threats stem from a tangled web of origins—be it an innocent insider's blunder, a cybercriminal's scheme, the rancor of hacktivists, or the cold calculation of state-sponsored espionage. The damage dealt by data breaches and security failures can be monumental, staggering corporations with halted operations, leaked customer data, crippling regulatory fines, and the loss of trust that often follows in the wake of such incidents.

However, the revolution is upon us—a rising tide of AI and accelerated computing that truncates the time and costs imperative to countering cyberattacks. Freeing critical resources, businesses can now turn their energies toward primary operations and the cultivation of avenues for revenue generation. Let us embark on a detailed expedition, traversing various industry landscapes to witness firsthand how AI's protective embrace enables the fortification of databases, the acceleration of threat neutralization, and the staunching of cyber wounds to preserve the sanctity of service delivery and the trust between businesses and their clientele.

Public Sector

Examine the public sector, where AI is not merely a tool for streamlining processes but stands as a vigilant guardian of a broad spectrum of securities—physical, energy, and social governance among them. Federal institutions, laden with the responsibility of managing complicated digital infrastructures, find themselves at the confluence of rigorous regulatory mandates, exacting public expectations, and the imperative of protecting highly sensitive data. The answer, increasingly, resides in the AI pantheon.

Take the U.S. Department of Energy's (DOE) Office of Cybersecurity, Energy Security, and Emergency Response (CESER) as a case in point. An investment exceeding $240 million in cybersecurity R&D since 2010 manifests in pioneering projects, including AI applications that automate and refine security vulnerability assessments, and those employing cutting-edge software-defined networks that magnify the operational awareness of crucial energy delivery systems.

Financial Sector 

Next, pivot our gaze to financial services—a domain where approximately $6 million evaporates with each data breach incident, compelling the sector to harness AI not merely for enhancing fraud detection and algorithmic trading but for its indispensability in preempting internal threats and safeguarding knightly vaults of valuable data. Ventures like the FinSec Innovation Lab, born from the collaborative spirits of Mastercard and Enel X, demonstrate AI's facility in real-time threat response—a lifeline in preventing service disruptions and the erosion of consumer confidence.

Retail giants, repositories of countless payment credentials, stand at the threshold of this new era, embracing AI to fortify themselves against the theft of payment data—a grim statistic that accounts for 37% of confirmed breaches in their industry. Best Buy's triumph in refining its phishing detection rates while simultaneously dialling down false positives is a testament to AI's defensive prowess.

Smart Cities 

Consider, too, the smart cities and connected spaces that epitomize technological integration. Their web of intertwined IoT devices and analytical AI, which scrutinize the flows of urban life, are no strangers to the drumbeat of cyber threat. AI-driven defense mechanisms not only predict but quarantine threats, ensuring the continuous, safe hum of civic life in the aftermath of intrusions.

Telecom Sector 

Telecommunications entities, stewards of crucial national infrastructures, dial into AI for anticipatory maintenance, network optimization, and ensuring impeccable uptime. By employing AI to monitor the edges of IoT networks, they stem the tide of anomalies, deftly handle false users, and parry the blows of assaults, upholding the sanctity of network availability and individual and enterprise data security.

Automobile Industry 

Similarly, the automotive industry finds AI an unyielding ally. As vehicles become complex, mobile ecosystems unto themselves, AI's cybersecurity role is magnified, scrutinizing real-time in-car and network activities, safeguarding critical software updates, and acting as the vanguard against vulnerabilities—the linchpin for the assured deployment of autonomous vehicles on our transit pathways.

Conclusion 

The inclination towards AI-driven cybersecurity permits industries not merely to cope, but to flourish by reallocating their energies towards innovation and customer experience enhancement. Through AI's integration, developers spanning a myriad of industries are equipped to construct solutions capable of discerning, ensnaring, and confronting threats to ensure the steadfastness of operations and consumer satisfaction. 

In the crucible of digital transformation, AI is the philosopher's stone—an alchemic marvel transmuting the raw data into the secure gold of business prosperity. As we continue to sail the digital ocean's intricate swells, the confluence of AI and cybersecurity promises to forge a gleaming future where businesses thrive under the aegis of security and intelligence.

References 

• https://timesofindia.indiatimes.com/gadgets-news/why-adoption-of-ai-may-be-critical-for-businesses-to-tackle-cyber-threats-and-more/articleshow/106313082.cms
• https://blogs.nvidia.com/blog/ai-cybersecurity-business-resilience/
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Executive Summary:

The picture that went viral with the false story that Dhoni was supporting the Congress party, actually shows his joy over Chennai Super Kings' victory in the achievement of 6 million followers on X (formerly known as Twitter) in 2020. Dhoni's gesture was misinterpreted by many, which resulted in the spread of false information. The Research team of CyberPeace did an in-depth investigation of the photo's roots and confirmed its authenticity through a reverse image search, highlighting how news outlets and CSK's official social media channels shared it. The case illustrates the value of fact verification and the role of real information in preventing the fake news epidemic.

Claims:

An image of former Indian Cricket captain Mahendra Singh Dhoni, showed him urging people to vote for the Congress party,  wearing the Chennai Super Kings (CSK) jersey and showing his right palm visible and gesturing the number 'one' with his left index finger. In reality he is celebrating Chennai Super Kings' milestone achievement on X (formerly Twitter) in 2020. Many people are sharing the misinterpretation knowingly or unknowingly over social media platforms.

Fact Check:

After receiving the post, we ran a reverse image search of the image and found a news article published by NDTV. According to the news outlet, Dhoni and his teammates were celebrating CSK's milestone of reaching six million followers on X (formerly known as Twitter) in the photos.

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In the image it is written as a tweet of @chennaiipl, to get an idea we dig into the official account of Chennai Super Kings on X (formerly known as Twitter). And Voila! we found the exact post which surfaced on the X (formerly known as Twitter) on 5th October 2020.

Additionally, we found a video posted on the X (formerly known as Twitter) handle of CSK, featuring other cricketers celebrating the Six Million Followers milestone for which they are thanking the audience for their support. Again, it was posted on Oct 05, 2020. The caption of the video is written as “Chennai Super #SixerOnTwitter! A big thanks to all the super fans for each and every bouquet and brickbat throughout the last decade. All the #yellove to you. #WhistlePodu”

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Therefore it is easy to conclude that the viral image of MS Dhoni supporting Congress is wrong and misleading.

Conclusion:

The information that circulated online media regarding a picture of Mahendra Singh Dhoni supporting the Congress Party has been proven to be untrue. The actual photograph was of Dhoni congratulating the Chennai Super Kings for having six million followers on social media in the year 2020. This highlights the need for checking the facts of any news circulating online.

• Claim: A photo allegedly depicting former Indian cricket captain Mahendra Singh Dhoni encouraging people to support the Congress party in elections surfaced online.
• Claimed on: X (Formerly known as Twitter) 
• Fact Check: Fake & Misleading

Introduction
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The recent advisory issued by CERT, issued on April 26^th, 2026, titled “Defending Against Frontier AI-Driven Cyber Risks”, on AI-driven cyber threats does not merely add to the list of routine cybersecurity warnings. Instead, it marks a shift in how cyber risk itself is understood. The concern, here, is not just that attacks are increasing, but also that their nature is changing. Artificial intelligence is no longer assisting cyber operations- whether legitimate or malicious, in fragments; it is beginning to organise and execute them at scale. 

What is emerging is a situation where capability is no longer tied to human skill alone. Systems can now identify vulnerabilities, generate exploits, and carry out coordinated attacks with limited intervention. This alters the baseline assumption of cybersecurity, that attacks require effort, time, and expertise.
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The Essence: Automation and Capability
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At the core of the advisory lies the recognition that AI has introduced speed and autonomy into cyber operations. Tasks such as analysing code, identifying vulnerabilities, or crafting phishing content are no longer sequential processes. They can happen almost simultaneously and at scale. 

This is not simply a matter of efficiency. It changes the structure of the threat itself. When attacks can be automated, they become repeatable and less dependent on specialised actors. The advisory also points to the ability of AI systems to conduct multi-stage attacks, moving across networks and adapting strategies in real time. 

In a way, the threat is no longer just external. It is embedded within the logics of the technology being used.

Significance: Lower Barriers, Wider Exposure

One of the more important aspects of the advisory is its emphasis on ‘accessibility’. AI lowers the barrier of complexity in the commission of cybercrimes. Activities that once required coordinated teams can now be performed by individuals with access to advanced tools. 

This has two consequences. First, the number of potential attackers increases. Second, the scale at which attacks can be carried out expands significantly. Systems that were previously considered low risk may become viable targets simply because automated tools can scan, test, and exploit them rapidly.

There is also a broader anxiety reflected in what is being described as “Mythos concerns”, a shorthand for uncertainty around frontier AI systems and their unpredictable capabilities. This signals that the risk is not fully mapped yet and that regulatory responses are still catching up.

Element of Continuous Risk

The advisory outlines impacts such as unauthorised access, data breaches, identity theft, and financial fraud. These are familiar categories. What is less explicit, but more important, is the shift in how these harms occur.

When AI enables rapid and repeated exploitation, risk becomes continuous. Systems are not attacked once and then secured. They are exposed to ongoing attempts. This creates pressure not only on technical infrastructure but also on legal frameworks that are designed around discrete incidents.

For instance, obligations under the Information Technology Act, 2000 or even emerging data protection frameworks often assume identifiable breaches and reportable events. Continuous probing complicates that model!

Response Framework: From Compliance to Vigilance

CERT-In’s recommendations reflect this change in threat perception. There is a clear emphasis on vigilance rather than mere compliance. Organisations are advised to adopt zero-trust approaches, reduce exposure surfaces, and treat vulnerabilities as immediately exploitable.

The insistence on rapid patching within short timeframes is particularly telling. It acknowledges that the window between vulnerability disclosure and exploitation is shrinking.

There is also a noticeable expansion of responsibility. The advisory does not limit itself to large organisations. It extends guidance to the MSMEs and individuals, recognising that cyber risk is now distributed across the entire digital ecosystem.

A Subtle Legal Shift

Although the advisory itself is not binding in law, it operates within the framework of Section 70B of the Information Technology Act, 2000, which empowers CERT-In to issue directions on cybersecurity best practices and guidelines.

So, while the advisory does not create liability directly, it influences what may later be considered ‘reasonable security practice’. In that sense, it serves as soft law, gradually informing standards of due diligence.

At the same time, there remains a gap. The advisory focuses on defensive measures, but it does not fully address attribution and accountability in AI driven attacks. When actions are automated and anonymised, identifying responsibility and imposing liability becomes more complex.
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Conclusion
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The CERT In advisory is not just a warning about new threats. It is an acknowledgement of a transition. Cyber risk is moving from being occasional and targeted to being constant and scalable. AI is not simply adding to existing threats; it is restructuring and advancing them.

For cyber vigilance frameworks, this suggests a need to rethink priorities. Static compliance measures are no longer sufficient. It has become necessary to adopt continuous monitoring, adaptive responses, and a clearer understanding of how technology is reshaping risk.

While the advisory does not resolve these questions, it does bring them into focus. And that, in itself, is significant.

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References
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1. CERT-In issues advisory against AI driven cyber attacks for MSMEs, organisations and individuals, Moneycontrol (Apr. 27, 2026), https://www.moneycontrol.com/technology/cert-in-issues-advisory-against-ai-driven-cyber-attacks-for-msmes-organisations-and-individuals-article-13899942.html.
2. CERT-In warns of rising AI driven cyber threats amid Mythos concerns, Ommcom News (2026), https://ommcomnews.com/science-tech/cert-in-warns-of-rising-ai-driven-cyber-threats-amid-mythos-concerns/.
3. Indian Computer Emergency Response Team (CERT-In), Defending Against Frontier AI Driven Cyber Risks, Advisory No. CIAD-2026-0020 (Apr. 26, 2026)
4. Information Technology Act, 2000, § 70B (India).

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