#FactCheck -Viral Photo Misidentifies Woman With Education Minister as NEET Paper Leak Accused; Fact Check Finds Claim False

Introduction:

The Indian Ministry of Communications has come up with a feature known as "Quick SMS Header Information" to provide citizens with more control over their messaging services. This feature would help users access crucial information about the sender through text message, therefore making the details readily available at their fingertips.

The Quick SMS Header service is the key to providing users with the feature to ensure that they are receiving messages from the correct source. Users can instantly learn all the necessary data about the sender of a certain SMS. This data is invaluable for making the distinction between real messages and suspicious spam or phishing, so the user can have a higher level of defense against online threats and scam activities.

Importance of Checking the Header:

1. Authenticity Verification: SMS header data represents another way to confirm the sender. This feature keeps the end user from wrongly assuming that the SMS is from a trusted source or an unknown sender. Hence, the end user is able to make a choice about the authenticity of the message.

2. Mitigating Spam and Phishing: The rise of SMS and phishing scams has created some significant hurdles for users in the process of differentiating between real and fake messages. Through the Quick SMS Header Information service, people will be able to look up any suspicious messages in order to be able to take appropriate steps to prevent links that lead to malicious websites or requests for personal information.

3. Enhancing User Security: The SMS header information plays an important role in ensuring that the user is secure and has no privacy issues.  The checking of the message headers will help us limit the possibilities of bad activities and reduce the chances of being a victim of cybercriminals.

4. Empowering Consumer Awareness: This feature is designed to encourage the people involved  to take responsibility for the security of their devices and establish a safer and more dependable digital platform.

Benefits:

• Enhanced Transparency: By giving access to the header information to the users, it is transparency that is promoted within the telecommunications ecosystem.
• Empowered Decision-Making: Now that users have information about the SMS header, they can make informed decisions regarding their communications and privacy.
• Efficient Resolution of Concerns: The Quick SMS Header Information serves the purpose of providing the needed resolution by telling us the message’s origin in cases where users come across any suspicious messages.
• User-Friendly Interface: With its easy and clear process, this feature caters to users of all technical proficiency levels, ensuring accessibility for all.

Working:

1. Compose Your SMS: Write a message with the header you wish to find the information about. For example, if you want to know details about a header labeled "SBIINB," your SMS should be in the format "DETAILS OF SBIINB." Note, all letters are in capital only.

2. Send it to 1909: Once your message is ready, send it to: 1909. Please note, this may charge you depending upon your current plan. 

3. Receive Response: The response to your SMS will be sent to you by the concerned telecommunication service provider or directly by 1909, a few seconds after you have sent your message. This response will have the data associated with the header above.

Another method to find SMS header information:

TRAI (Telecom Regulatory Authority of India) has made a tool on the webpage (https://smsheader.trai.gov.in/) to check for the SMS header associated with the message. 

TRAI has also mandated header registration for messages pertaining to transactional or promotional purposes. This has helped people identify the SMS header by simply looking into the database as made by TRAI.

Steps:

1. Go to https://smsheader.trai.gov.in/. The page looks like as shown below:

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2. Enter your Email, Name and complete the captcha under the Download/View Header Details and click on continue

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3. Enter the OTP received on your email with the captcha and click on continue

4. Now enter your SMS header in the format of AA-AAAA, where “AA” is your prefix and “AAAA” is your header name. For example, we have taken “AX-HDFCBK” as our sample header, so “AX” is our prefix and “HDFCBK” is our header name.

5. As soon as we press enter, the site returns the query with the information of the header, as shown below

Conclusion:

The importance of checking SMS headers is something that simply cannot be overemphasized. This is the principal procedure for identifying incoming messages as authentic, and on that basis, the users are able to make informed choices about the messages they receive. It also contributes to the rise of user safety and privacy.

The development of more transparent controls and a stronger decision-making process will make it easier for users to handle their digital lives. The Quick SMS Header Information service is easy and convenient to use, as its interface is simple and understandable for users of all technical levels.

In addition to this, TRAI's attempt to make available an online tool for the maintenance of a comprehensive database of SMS headers strengthens its position towards ensuring security for its users in the telecommunications sector.

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Executive Summary

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A video is being widely shared on social media showing a delivery boy risking his life by jumping in front of a speeding truck to save a small child. The dramatic footage has drawn widespread praise, with many users calling the delivery worker a "real hero," "Superman," and even "an angel." Several social media users have claimed that the incident took place in Mumbai, alleging that the delivery boy's quick thinking prevented a fatal accident. CyberPeace Research Wing ’s research found the viral claim to be false. Our research revealed that the video is not real but AI-generated, and is being circulated with a misleading claim.

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Claim

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An X (formerly Twitter) user shared the viral video on July 12, 2026, with the caption: "This cannot be called a human, but an angel. Such an incredible feat by a delivery boy from Mumbai is hard to believe. At first glance, it seemed like he had sacrificed his life to save the child, but in the next moment, he saved not only himself but also the child's life. Watch this incredible video."

https://x.com/virjust18/status/2076270467569320072 

https://archive.ph/jsz4D 

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Fact Check

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To verify the viral claim, we conducted a keyword search on Google. However, we found no credible media reports or authentic sources confirming that such an incident had occurred in Mumbai or anywhere else. During the research, we found the same video uploaded on the Instagram account 'ai_nature_of_beauty_01' on July 12, 2026. Although the post's caption did not provide any details about the incident, a review of the account revealed that it regularly uploads AI-generated videos featuring fictional and digitally created scenarios. This strongly indicates that the viral clip is not footage of an actual event but content created using Artificial Intelligence.

https://www.instagram.com/reels/Das5IJ9FFF5/ 

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We further analysed the video using the AI detection tool Hive Moderation, which indicated a 96.1% probability that the footage was AI-generated. The analysis strongly suggests that the video was created using artificial intelligence rather than recorded in the real world. 

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For additional verification, we also examined the video using another AI detection platform, AI or Not. The tool likewise identified the scenes in the viral clip as likely AI-generated, reinforcing our findings.

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Conclusion

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Our research found that the viral video does not depict a real rescue. It is AI-generated content that has been falsely circulated as footage of a delivery boy saving a child from a speeding truck in Mumbai. There is no credible evidence to support the claim that such an incident actually occurred.

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Introduction

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In the hyperconnected world, cyber incidents can no longer be treated as sporadic disruptions; such incidents have become an everyday occurrence. The attack landscape today is very consequential and shows significant multiplication in its frequency, with ransomware attacks incapacitating a health system, phishing attacks hitting a financial institution, or state-sponsored attacks on critical infrastructures. Towards counteracting such threats, traditional ways alone are not enough, they gravely rely on manual research and human intellect. Attackers exercise speed, scale, and stealth, and defenders are always four steps behind. With such a widening gap, it is deemed necessary to facilitate incident response and crisis management with the intervention of automation and artificial intelligence (AI) for faster detection, context-driven decision-making, and collaborative response beyond human capabilities.

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Incident Response and Crisis Management

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Incident response is the structured way in which organisations deal with responding to detecting, segregating, and recovering from security incidents. Crisis management takes this even further, dealing not only with the technical fallout of a breach but also its business, reputation, and regulatory implications. Echelon used to depend on manual teams of people sorting through logs, cross-correlating alarms, and generating responses, a paradigm effective for small numbers but quickly inadequate in today's threat climate. Today's opponents attack at machine speed, employing automation to launch attacks. Under such circumstances, responding with slow, manual methods means delay and draconian consequences. The AI and automation introduction is a paradigm change that allows organisations to equate the pace and precision with which attackers initiate attacks in responding to incidents.

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How Automation Reinvents Response

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Cybercrime automation liberates cybercrime analysts from boring and repetitive tasks that consume time. An analyst manually detects potential threats from a list of hundreds each day, while automated systems sift through noise and focus only on genuine threats. Malware can automatically cause infected computers to be disconnected from the network to avoid spreading or may automatically have its suspicious account permissions removed without human intervention. The security orchestration systems move further by introducing playbooks, predefined steps describing how incidents of a certain type (e.g., phishing attempts or malware infections) should be handled. This ensures fast containment while ensuring consistency and minimising human error amid the urgency of dealing with thousands of alerts.

Automation takes care of threat detection, prioritisation, and containment, allowing human analysts to refocus on more complex decision-making. Instead of drowning in the sea of trivial alerts, security teams can now devote their efforts to more strategic areas: threat hunting and longer-term resilience. Automation is a strong tool of defence, cutting response times down from hours to minutes.

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The Intelligence Layer: AI in Action

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If automation provides speed, then AI is what allows the brain to be intelligent and flexible. Working with old and fixed-rule systems, AI-enabled solutions learn from experiences, adapt to changes in threats, and discover hidden patterns of which human analysts themselves would be unaware. For instance, machine learning algorithms identify normal behaviour on a corporate network and raise alerts on any anomalies that could indicate an insider attack or an advanced persistent threat. Similarly, AI systems sift through global threat intelligence to predict likely attack vectors so organisations can have their vulnerabilities fixed before they are exploited.

AI also boosts forensic analysis. Instead of searching forever for clues, analysts let AI-driven systems trace back to the origin of an event, identify vulnerabilities exploited by attackers, and flag systems that are still under attack. During a crisis, AI is a decision support that predicts outcomes of different scenarios and recommends the best response. In response to a ransomware attack, for example, based on context, AI might advise separating a single network segment or restoring from backup or alerting law enforcement. 

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Real-World Applications and Case Studies

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Already, this mitigation has been provided in the form of real-world applications of automation and AI. Consider, for example, IBM Watson for Cybersecurity, which has been applied in analysing unstructured threat intelligence and providing analysts with actionable results in minutes, rather than days. Like this, systems driven by AI in DARPA's Cyber Grand Challenge demonstrated the ability to automatically identify an instant vulnerability, patch it, and reveal the potential of a self-healing system. AI-powered fraud detection systems stop suspicious transactions in the middle of their execution and work all night to prevent losses. What is common in all these examples is that automation and AI lessen human effort, increase accuracy, and in the event of a cyberattack, buy precious time.

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Challenges and Limitations

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While promising, the technology is still not fully mature. The quality of an AI system is highly dependent on the training data provided; poor training can generate false positives that drown teams or worse false negatives that allow attackers to proceed unabated. Attackers have also started targeting AI itself by poisoning datasets or designing malware that does not get detected. Aside from risks that are more technical, the operational and financial costs involved in implementing advanced AI-based systems present expensive threats to any company. Organisations will have to make expenditures not only on technology but also for the training of staff to best utilise these tools. There are some ethical and privacy issues to consider as well because systems may be processing sensitive personal data, so global data protection laws such as the GDPR or India's DPDP Act could come into conflict.

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Creating a Human-AI Collaboration

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The future is not going to be one of substitution by machines but of creating human-AI synergy. Automation can do the drudgery, AI can provide smarts, and human professionals can use judgment, imagination, and ethical decisions. One would want to build AI-fuelled Security Operations Centres where technology and human experts work in tandem. Continuous training must be provided to AI models to reduce false alarms and make them most resistant against adversarial attacks. Regular conduct of crisis drills that combine AI tools and human teams can ensure preparedness for real-time events. Likewise, it is worth integrating ethical AI guidelines into security frameworks to ensure a stronger defence while respecting privacy and regulatory compliance.

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Conclusion

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Cyber-attacks are an eventuality in this modern time, but the actual impact need not be so harsh. The organisations can maintain the programmatic method of integrating automation and AI into incident response and crisis management so that the response against the very threat can be shifted from reactive firefighting to proactive resilience. Automation gives speed and efficiency while AI gives intelligence and foresight, hence putting the defenders on par and possibly exceeding the speed and sophistication of the attackers. But an utmost system without human inquisitiveness, ethical reasoning, and strategic foresight would remain imperfect. The best defence is in that human-machine relationship symbiotic system wherein automation and AI take care of how fast and how many cyber threats come in, whereas human intellect ensures that every response is aligned with larger organizational goals. This synergy is where cybersecurity resiliency will reside in the future-the defenders won't just be reacting to emergencies but will rather be driving the way.

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References

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• https://www.sisainfosec.com/blogs/incident-response-automation/
• https://stratpilot.ai/role-of-ai-in-crisis-management-and-its-critical-importance/
• https://www.juvare.com/integrating-artificial-intelligence-into-crisis-management/
• https://www.motadata.com/blog/role-of-automation-in-incident-management/

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