#FactCheck: Israel Apologizes to Iran’ Video Is AI-Generated
Executive Summary:
A viral video claiming to show Israelis pleading with Iran to "stop the war" is not authentic. As per our research the footage is AI-generated, created using tools like Google’s Veo, and not evidence of a real protest. The video features unnatural visuals and errors typical of AI fabrication. It is part of a broader wave of misinformation surrounding the Israel-Iran conflict, where AI-generated content is widely used to manipulate public opinion. This incident underscores the growing challenge of distinguishing real events from digital fabrications in global conflicts and highlights the importance of media literacy and fact-checking.
Claim:
A X verified user with the handle "Iran, stop the war, we are sorry" posted a video featuring people holding placards and the Israeli flag. The caption suggests that Israeli citizens are calling for peace and expressing remorse, stating, "Stop the war with Iran! We apologize! The people of Israel want peace." The user further claims that Israel, having allegedly initiated the conflict by attacking Iran, is now seeking reconciliation.

Fact Check:
The bottom-right corner of the video displays a "VEO" watermark, suggesting it was generated using Google's AI tool, VEO 3. The video exhibits several noticeable inconsistencies such as robotic, unnatural speech, a lack of human gestures, and unclear text on the placards. Additionally, in one frame, a person wearing a blue T-shirt is seen holding nothing, while in the next frame, an Israeli flag suddenly appears in their hand, indicating possible AI-generated glitches.

We further analyzed the video using the AI detection tool HIVE Moderation, which revealed a 99% probability that the video was generated using artificial intelligence technology. To validate this finding, we examined a keyframe from the video separately, which showed an even higher likelihood of 99% probability of being AI generated. These results strongly indicate that the video is not authentic and was most likely created using advanced AI tools.

Conclusion:
The video is highly likely to be AI-generated, as indicated by the VEO watermark, visual inconsistencies, and a 99% probability from HIVE Moderation. This highlights the importance of verifying content before sharing, as misleading AI-generated media can easily spread false narratives.
- Claim: AI generated video of Israelis saying "Stop the War, Iran We are Sorry".
- Claimed On: Social Media
- Fact Check:AI Generated Mislead
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Introduction
Digital Public Infrastructure (DPI) serves as the backbone of e-governance, enabling governments to deliver services more efficiently, transparently, and inclusively. By leveraging information and communication technology (ICT), digital governance systems reconfigure traditional administrative processes, making them more accessible and citizen-centric. However, the successful implementation of such systems hinges on overcoming several challenges, from ensuring data security to fostering digital literacy and addressing infrastructural gaps.
This article delves into the key enablers that drive effective DPI and outlines the measures already undertaken by the government to enhance its functionality. Furthermore, it outlines strategies for their enhancement, emphasizing the need for a collaborative, secure, and adaptive approach to building robust e-governance systems.
Key Enablers of DPI
Digital Public Infrastructure (DPI), the foundation for e-governance, relies on common design, robust governance, and private sector participation for efficiency and inclusivity. This requires common principles, frameworks for collaboration, capacity building, and the development of common standards. Some of the key measures undertaken by the government in this regard include:
- Data Protection Framework: The Digital Personal Data Protection (DPDP) Act of 2023 establishes a framework to ensure consent-based data sharing and regulate the processing of digital personal data. It delineates the responsibilities of data fiduciaries in safeguarding users' digital personal data.
- Increasing Public-Private Partnerships: Refining collaboration between the government and the private sector has accelerated the development, maintenance, expansion, and trust of the infrastructure of DPIs, such as the AADHAR, UPI, and Data Empowerment and Protection Architecture (DEPA). For example, the Asian Development Bank attributes the success of UPI to its “consortium ownership structure”, which enables the wide participation of major financial stakeholders in the country.
- Coordinated Planning: The PM-Gati Shakti establishes a clear coordination framework involving various inter-governmental stakeholders at the state and union levels. This aims to significantly reduce project duplications, delays, and cost escalations by streamlining communication, harmonizing project appraisal and approval processes, and providing a comprehensive database of major infrastructure projects in the country. This database called the National Master Plan, is jointly accessible by various government stakeholders through APIs.
- Capacity Building for Government Employees: The National e-Governance Division of the Ministry of Electronics and Information Technology routinely rolls out multiple training programs to build the technological and managerial skills required by government employees to manage Digital Public Goods (DPGs). For instance, it recently held a program on “Managing Large Digital Transformative Projects”. Additionally, the Ministry of Personnel, Public Grievances, and Pensions has launched the Integrated Government Online Training platform (iGOT) Karmayogi for the continuous learning of civil servants across various domains.
Digital Governance; Way Forward
E-governance utilizes information and communication technology (ICT) such as Wide Area Networks, the Internet, and mobile computing to implement existing government activities, reconfiguring the structures and processes of governance systems. This warrants addressing certain inter-related challenges such as :
- Data Security: The dynamic and ever-changing landscape of cyber threats necessitates regular advancements in data and information security technologies, policy frameworks, and legal provisions. Consequently, the digital public ecosystem must incorporate robust data cybersecurity measures, advanced encryption technologies, and stringent privacy compliance standards to safeguard against data breaches.
- Creating Feedback Loops: Regular feedback surveys will help government agencies improve the quality, efficiency, and accessibility of digital governance services by tailoring them to be more user-friendly and enhancing administrative design. This is necessary to build trust in government services and improve their uptake among beneficiaries. Conducting the decennial census is essential to gather updated data that can serve as a foundation for more informed and effective decision-making.
- Capacity Building for End-Users: The beneficiaries of key e-governance projects like Aadhar and UPI may have inadequate technological skills, especially in regions with weak internet network infrastructure like hilly or rural areas. This can present challenges in the access to and usage of technological solutions. Robust capacity-building campaigns for beneficiaries can provide an impetus to the digital inclusion efforts of the government.
- Increasing the Availability of Real-Time Data: By prioritizing the availability of up-to-date information, governments and third-party enterprises can enable quick and informed decision-making. They can effectively track service usage, assess quality, and monitor key metrics by leveraging real-time data. This approach is essential for enhancing operational efficiency and delivering improved user experience.
- Resistance to Change: Any resistance among beneficiaries or government employees to adopt digital governance goods may stem from a limited understanding of digital processes and a lack of experience with transitioning from legacy systems. Hand-holding employees during the transitionary phase can help create more trust in the process and strengthen the new systems.
Conclusion
Digital governance is crucial to transforming public services, ensuring transparency, and fostering inclusivity in a rapidly digitizing world. The successful implementation of such projects requires addressing challenges like data security, skill gaps, infrastructural limitations, feedback mechanisms, and resistance to change. Addressing these challenges with a strategic, multi-stakeholder approach can ensure the successful execution and long-term impact of large digital governance projects. By adopting robust cybersecurity frameworks, fostering public-private partnerships, and emphasizing capacity building, governments can create efficient and resilient systems that are user-centric, secure, and accessible to all.
References
- https://www.adb.org/sites/default/files/publication/865106/adbi-wp1363.pdf
- https://www.jotform.com/blog/government-digital-transformation-challenges/
- https://aapti.in/wp-content/uploads/2024/06/AaptixONI-DPIGovernancePlaybook_compressed.pdf
- https://community.nasscom.in/sites/default/files/publicreport/Digital%20Public%20Infrastructure%2022-2-2024_compressed.pdf
- https://proteantech.in/articles/Decoding-Digital-Public-Infrastructure-in-India/

Introduction
February marks the beginning of Valentine’s Week, the time when we transcend from the season of smog to the season of love. This is a time when young people are more active on social media and dating apps with the hope of finding a partner to celebrate the occasion. Dating Apps, in order to capitalise on this occasion, launch special offers and campaigns to attract new users and string on the current users with the aspiration of finding their ideal partner. However, with the growing popularity of online dating, the tactics of cybercriminals have also penetrated this sphere. Scammers are now becoming increasingly sophisticated in manipulating individuals on digital platforms, often engaging in scams, identity theft, and financial fraud under the guise of romance. As love fills the air, netizens must stay vigilant and cautious while searching for a connection online and not fall into a scammer’s trap.
Here Are Some CyberPeace Tips To Avoid Romance Scams
- Recognize Red Flags of Romance Scams:- Online dating has made it easier to connect with people, but it has also become a tool for scammers to exploit the emotions of netizens for financial gain. They create fake profiles, build trust quickly, and then manipulate victims into sending money. Understanding their tactics can help you stay safe.
- Warning Signs of a Romance Scam:- If someone expresses strong feelings too soon, it’s a red flag. Scammers often claim to have fallen in love within days or weeks, despite never meeting in person. They use emotional pressure to create a false sense of connection. Their messages might seem off. Scammers often copy-paste scripted responses, making conversations feel unnatural. Poor grammar, inconsistencies in their stories, or vague answers are warning signs. Asking for money is the biggest red flag. They might have an emergency, a visa issue, or an investment opportunity they want you to help with. No legitimate relationship starts with financial requests.
- Manipulative Tactics Used by Scammers:- Scammers use love bombing to gain trust. They flood you with compliments, calling you their soulmate or destiny. This is meant to make you emotionally attached. They often share fake sob stories. It could be anything ranging from losing a loved one, facing a medical emergency, or even being stuck in a foreign country. These are designed to make you feel sorry for them and more willing to help. Some of these scammers might even pretend to be wealthy, being investors or successful business owners, showing off their fabricated luxury lifestyle in order to appear credible. Eventually, they’ll try to lure you into a fake investment. They create a sense of urgency. Whether it’s sending money, investing, or sharing personal details, scammers will push you to act fast. This prevents you from thinking critically or verifying your claims.
- Financial Frauds Linked to Romance Scams:- Romance scams have often led to financial fraud. Victims may be tricked into sending money directly or get roped into elaborate schemes. One common scam is the disappearing date, where someone insists on dining at an expensive restaurant, only to vanish before the bill arrives. Crypto scams are another major concern. Scammers convince victims to invest in fake cryptocurrency platforms, promising huge returns. Once the money is sent, the scammer disappears, leaving the victim with nothing.
- AI & Deepfake Risks in Online Dating:- Advancements in AI have made scams even more convincing. Scammers use AI-generated photos to create flawless, yet fake, profile pictures. These images often lack natural imperfections, making them hard to spot. Deepfake technology is also being used for video calls. Some scammers use pre-recorded AI-generated videos to fake live interactions. If a person’s expressions don’t match their words or their screen glitches oddly, it could be a deepfake.
- How to Stay Safe:-
- Always verify the identities of those who contact you on these sites. A simple reverse image search can reveal if someone’s profile picture is stolen.
- Avoid clicking suspicious links or downloading unknown apps sent by strangers. These can be used to steal your personal information.
- Trust your instincts. If something feels off, it probably is. Stay alert and protect yourself from online romance scams.
Best Online Safety Practices
- Prioritize Social Media Privacy:- Review and update your privacy settings regularly. Think before you share and be mindful of who can see your posts/stories. Avoid oversharing personal details.
- Report Suspicious Activities:- Even if a scam attempt doesn’t succeed, report it. Indian Cyber Crime Coordination Centre (I4C) 'Report Suspect' feature allow users to flag potential threats, helping prevent cybercrimes.
- Think Before You Click or Download:- Avoid clicking on unknown links or downloading attachments from unverified sources. These can be traps leading to phishing scams or malware attacks.
- Protect Your Personal Information:- Be cautious with whom and how you share your sensitive details online. Cybercriminals exploit even the smallest data points to orchestrate fraud.

Introduction
Advanced deepfake technology blurs the line between authentic and fake. To ascertain the credibility of the content it has become important to differentiate between genuine and manipulated or curated online content highly shared on social media platforms. AI-generated fake voice clone, videos are proliferating on the Internet and social media. There is the use of sophisticated AI algorithms that help manipulate or generate synthetic multimedia content such as audio, video and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake multimedia content. McAfee Corp., a well-known or popular global leader in online protection, has recently launched an AI-powered deepfake audio detection technology under Project “Mockingbird” intending to safeguard consumers against the surging threat of fabricated or AI-generated audio or voice clones to dupe people for money or unauthorisly obtaining their personal information. McAfee Corp. announced its AI-powered deepfake audio detection technology, known as Project Mockingbird, at the Consumer Electronics Show, 2024.
What is voice cloning?
To create a voice clone of anyone's, audio can be deeplyfaked, too, which closely resembles a real voice but, in actuality, is a fake voice created through deepfake technology.
Emerging Threats: Cybercriminal Exploitation of Artificial Intelligence in Identity Fraud, Voice Cloning, and Hacking Acceleration
AI is used for all kinds of things from smart tech to robotics and gaming. Cybercriminals are misusing artificial intelligence for rather nefarious reasons including voice cloning to commit cyber fraud activities. Artificial intelligence can be used to manipulate the lips of an individual so it looks like they're saying something different, it could also be used for identity fraud to make it possible to impersonate someone for a remote verification for your bank and it also makes traditional hacking more convenient. Cybercriminals have been misusing advanced technologies such as artificial intelligence, which has led to an increase in the speed and volume of cyber attacks, and that's been the theme in recent times.
Technical Analysis
To combat Audio cloning fraudulent activities, McAfee Labs has developed a robust AI model that precisely detects artificially generated audio used in videos or otherwise.
- Context-Based Recognition: Contextual assessment is used by technological devices to examine audio components in the overall setting of an audio. It improves the model's capacity to recognise discrepancies suggestive of artificial intelligence-generated audio by evaluating its surroundings information.
- Conductual Examination: Psychological detection techniques examine linguistic habits and subtleties, concentrating on departures from typical individual behaviour. Examining speech patterns, tempo, and pronunciation enables the model to identify artificially or synthetically produced material.
- Classification Models: Auditory components are categorised by categorisation algorithms for detection according to established traits of human communication. The technology differentiates between real and artificial intelligence-synthesized voices by comparing them against an extensive library of legitimate human speech features.
- Accuracy Outcomes: McAfee Labs' deepfake voice recognition solution, which boasts an impressive ninety per cent success rate, is based on a combined approach incorporating psychological, context-specific, and categorised identification models. Through examining audio components in the larger video context and examining speech characteristics, such as intonation, rhythm, and pronunciation, the system can identify discrepancies that could be signs of artificial intelligence-produced audio. Categorical models make an additional contribution by classifying audio information according to characteristics of known human speech. This all-encompassing strategy is essential for precisely recognising and reducing the risks connected to AI-generated audio data, offering a strong barrier against the growing danger of deepfake situations.
- Application Instances: The technique protects against various harmful programs, such as celebrity voice-cloning fraud and misleading content about important subjects.
Conclusion
It is important to foster ethical and responsible consumption of technology. Awareness of common uses of artificial intelligence is a first step toward broader public engagement with debates about the appropriate role and boundaries for AI. Project Mockingbird by Macafee employs AI-driven deepfake audio detection to safeguard against cyber criminals who are using fabricated AI-generated audio for scams and manipulating the public image of notable figures, protecting consumers from financial and personal information risks.
References:
- https://www.cnbctv18.com/technology/mcafee-deepfake-audio-detection-technology-against-rise-in-ai-generated-misinformation-18740471.htm
- https://www.thehindubusinessline.com/info-tech/mcafee-unveils-advanced-deepfake-audio-detection-technology/article67718951.ece
- https://lifestyle.livemint.com/smart-living/innovation/ces-2024-mcafee-ai-technology-audio-project-mockingbird-111704714835601.html
- https://news.abplive.com/fact-check/audio-deepfakes-adding-to-cacophony-of-online-misinformation-abpp-1654724