#FactCheck-AI-Generated Video Falsely Shared as Scenes of Flood Devastation in Nepal

Introduction

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The banking and finance sector worldwide is among the most vulnerable to cybersecurity attacks. Moreover, traditional threats such as DDoS attacks, ransomware, supply chain attacks, phishing, and Advanced Persistent Threats (APTs) are becoming increasingly potent with the growing adoption of AI. It is crucial for banking and financial institutions to stay ahead of the curve when it comes to their cybersecurity posture, something that is possible only through a systematic approach to security. In this context, the Reserve Bank of India’s latest Financial Stability Report (June 2025) acknowledges that cybersecurity risks are systemic to the sector, particularly the securities market, and have to be treated as such. 

What the Financial Stability Report June 2025 Says

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The report notes that the increasing scale of digital financial services, cloud-based architecture, and interconnected systems has expanded the cyberattack surface across sectors.   It calls for building cybersecurity resilience by improving Security Operations Center (SOC) efficacy, undertaking “risk-based supervision”, implementing “zero-trust approaches”, and “AI-aware defense strategies”. It also recommends the implementation of graded monitoring systems, employing behavioral analytics for threat detection, building adequate skill through hands-on training, engaging in continuous learning and simulation-based exercises like Continuous Assessment-Based Red Teaming (CART), conducting scenario-based resilience drills, and establishing consistent incident reporting frameworks. In addition, it suggests that organizations need to adopt quantifiable benchmarks like SOC Efficacy and Cyber Capability Index to guarantee efficient governance and readiness.

Implications

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Firstly, even though the report doesn’t break new ground in identifying cyber risk,  it does sharpen its urgency and lays the groundwork for giving more weight to cybersecurity in macroprudential supervision. In the face of emerging threats, it positions cyberattacks as a systemic financial risk that can affect India’s financial stability with the same seriousness as traditional threats like NPAs and capital inadequacy. 

Secondly, by calling to “ensure cyber resilience”, it reflects the RBI’s dedication to  values-based compliance to cybersecurity policies where effectiveness and adaptability matter more than box-ticking. This approach caters to an organisation’s/ sector’s unique nature, governance requirements, and updates to rising risks. It checks not only if certain measures were used, but also if they were effective, through constant self-assessment, scenario-based training, cyber drills, dynamic risk management, and value-driven audits. In the face of a rapidly expanding digital transactions ecosystem with integration of new technologies such as AI, this approach is imperative to building cyber resilience. The RBI’s report suggests exactly this need for banks and NBFCs to update its parameters for resilience.

Conclusion 

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While the RBI’s 2016 guidelines focus on core cybersecurity concerns and has issued guidelines on IT governance, outsourcing, and digital payment security, none explicitly codify “AI-aware,” “zero-trust,” or a full “risk-based supervision” mechanism. The more recent emphasis on these concepts comes from the 2025 Financial Stability Report, which uses them as forward-looking policy orientations. How the RBI chooses to operationalize these frameworks is yet to be seen. Further,  RBI’s vision cannot operate in a silo. Cross-sector regulators like SEBI, IRDAI, and DoT must align on cyber standards and incident reporting protocols.

In the meanwhile, highly vulnerable sectors like education and healthcare, which have weaker cybersecurity capabilities, can take a leaf from RBI’s book by ensuring that cybersecurity is treated as a continuously evolving issue . Many institutions in these sectors are known to perform goals-based compliance through a simple checklist approach. Institutions that take the lead in implementing zero-trust, diversifying vendor dependencies, and investing in cyber resilience will not only meet regulatory expectations but build long-term competitive advantage.

References

• https://economictimes.indiatimes.com/news/economy/policy/adopt-risk-based-supervision-zero-trust-approach-to-curb-cyberfrauds-rbi/articleshow/122164631.cms?from=mdr-%20500
• https://paramountassure.com/blog/value-driven-cybersecurity/ 
• https://www.rbi.org.in/commonman/english/Scripts/Notification.aspx?Id=1721 ‍
• https://rbidocs.rbi.org.in/rdocs//PublicationReport/Pdfs/0FSRJUNE20253006258AE798B4484642AD861CC35BC2CB3D8E.PDF

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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A video is being shared on social media, falsely attributing it to Australian Prime Minister Anthony Albanese. The video claims that following the Bondi Beach attack, he decided to cancel the visas of Pakistani citizens.

An investigation by the Cyber Peace Foundation revealed that the viral video was created using AI. In the original video, Anthony Albanese was answering questions related to the Climate Change Bill during a press conference. It is important to note that in the attack that took place last Sunday (14 December) at Bondi Beach in Sydney, New South Wales, Australia, 15 people were killed. According to Australian police, the attack targeted the Jewish community. New South Wales Police Commissioner Mal Lanyon stated that the two accused involved in the attack were father and son—one aged 50 and the other 24. Media reports identified them as Sajid and Naved Akram.

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Claim:

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On 14 December 2025, a user on the social media platform X shared a video claiming, “After the attack by a Pakistani Islamic terrorist, the Australian Prime Minister has decided to cancel the visas of all Pakistanis. The whole world is troubled by this community, and in India it is said that Abdul cannot buy a house in a Hindu neighbourhood.”

The link to the related post, its archived version, and screenshots can be seen below:

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• https://x.com/mktyaggi/status/2000187241390580001?s=20
• https://archive.ph/ut7VH

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‍Investigation:Upon closely examining the viral video, we suspected it to be AI-generated. Subsequently, we scanned the video using the AI detection tool aurigin.ai. According to the results provided by the tool, the video was found to be AI-generated.

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