#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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Executive Summary:
In late 2024 an Indian healthcare provider experienced a severe cybersecurity attack that demonstrated how powerful AI ransomware is. This blog discusses the background to the attack, how it took place and the effects it caused (both medical and financial), how organisations reacted, and the final result of it all, stressing on possible dangers in the healthcare industry with a lack of sufficiently adequate cybersecurity measures in place. The incident also interrupted the normal functioning of business and explained the possible economic and image losses from cyber threats. Other technical results of the study also provide more evidence and analysis of the advanced AI malware and best practices for defending against them.
1. Introduction
The integration of artificial intelligence (AI) in cybersecurity has revolutionised both defence mechanisms and the strategies employed by cybercriminals. AI-powered attacks, particularly ransomware, have become increasingly sophisticated, posing significant threats to various sectors, including healthcare. This report delves into a case study of an AI-powered ransomware attack on a prominent Indian healthcare provider in 2024, analysing the attack's execution, impact, and the subsequent response, along with key technical findings.
2. Background
In late 2024, a leading healthcare organisation in India which is involved in the research and development of AI techniques fell prey to a ransomware attack that was AI driven to get the most out of it. With many businesses today relying on data especially in the healthcare industry that requires real-time operations, health care has become the favourite of cyber criminals. AI aided attackers were able to cause far more detailed and damaging attack that severely affected the operation of the provider whilst jeopardising the safety of the patient information.
3. Attack Execution
The attack began with the launch of a phishing email designed to target a hospital administrator. They received an email with an infected attachment which when clicked in some cases injected the AI enabled ransomware into the hospitals network. AI incorporated ransomware was not as blasé as traditional ransomware, which sends copies to anyone, this studied the hospital’s IT network. First, it focused and targeted important systems which involved implementation of encryption such as the electronic health records and the billing departments.
The fact that the malware had an AI feature allowed it to learn and adjust its way of propagation in the network, and prioritise the encryption of most valuable data. This accuracy did not only increase the possibility of the potential ransom demand but also it allowed reducing the risks of the possibility of early discovery.
4. Impact
- The consequences of the attack were immediate and severe: The consequences of the attack were immediate and severe.
- Operational Disruption: The centralization of important systems made the hospital cease its functionality through the acts of encrypting the respective components. Operations such as surgeries, routine medical procedures and admitting of patients were slowed or in some cases referred to other hospitals.
- Data Security: Electronic patient records and associated billing data became off-limit because of the vulnerability of patient confidentiality. The danger of data loss was on the verge of becoming permanent, much to the concern of both the healthcare provider and its patients.
- Financial Loss: The attackers asked for 100 crore Indian rupees (approximately 12 USD million) for the decryption key. Despite the hospital not paying for it, there were certain losses that include the operational loss due to the server being down, loss incurred by the patients who were affected in one way or the other, loss incurred in responding to such an incident and the loss due to bad reputation.
5. Response
As soon as the hotel’s management was informed about the presence of ransomware, its IT department joined forces with cybersecurity professionals and local police. The team decided not to pay the ransom and instead recover the systems from backup. Despite the fact that this was an ethically and strategically correct decision, it was not without some challenges. Reconstruction was gradual, and certain elements of the patients’ records were permanently erased.
In order to avoid such attacks in the future, the healthcare provider put into force several organisational and technical actions such as network isolation and increase of cybersecurity measures. Even so, the attack revealed serious breaches in the provider’s IT systems security measures and protocols.
6. Outcome
The attack had far-reaching consequences:
- Financial Impact: A healthcare provider suffers a lot of crashes in its reckoning due to substantial service disruption as well as bolstering cybersecurity and compensating patients.
- Reputational Damage: The leakage of the data had a potential of causing a complete loss of confidence from patients and the public this affecting the reputation of the provider. This, of course, had an effect on patient care, and ultimately resulted in long-term effects on revenue as patients were retained.
- Industry Awareness: The breakthrough fed discussions across the country on how to improve cybersecurity provisions in the healthcare industry. It woke up the other care providers to review and improve their cyber defence status.
7. Technical Findings
The AI-powered ransomware attack on the healthcare provider revealed several technical vulnerabilities and provided insights into the sophisticated mechanisms employed by the attackers. These findings highlight the evolving threat landscape and the importance of advanced cybersecurity measures.
7.1 Phishing Vector and Initial Penetration
- Sophisticated Phishing Tactics: The phishing email was crafted with precision, utilising AI to mimic the communication style of trusted contacts within the organisation. The email bypassed standard email filters, indicating a high level of customization and adaptation, likely due to AI-driven analysis of previous successful phishing attempts.
- Exploitation of Human Error: The phishing email targeted an administrative user with access to critical systems, exploiting the lack of stringent access controls and user awareness. The successful penetration into the network highlighted the need for multi-factor authentication (MFA) and continuous training on identifying phishing attempts.
7.2 AI-Driven Malware Behavior
- Dynamic Network Mapping: Once inside the network, the AI-powered malware executed a sophisticated mapping of the hospital's IT infrastructure. Using machine learning algorithms, the malware identified the most critical systems—such as Electronic Health Records (EHR) and the billing system—prioritising them for encryption. This dynamic mapping capability allowed the malware to maximise damage while minimising its footprint, delaying detection.
- Adaptive Encryption Techniques: The malware employed adaptive encryption techniques, adjusting its encryption strategy based on the system's response. For instance, if it detected attempts to isolate the network or initiate backup protocols, it accelerated the encryption process or targeted backup systems directly, demonstrating an ability to anticipate and counteract defensive measures.
- Evasive Tactics: The ransomware utilised advanced evasion tactics, such as polymorphic code and anti-forensic features, to avoid detection by traditional antivirus software and security monitoring tools. The AI component allowed the malware to alter its code and behaviour in real time, making signature-based detection methods ineffective.
7.3 Vulnerability Exploitation
- Weaknesses in Network Segmentation: The hospital’s network was insufficiently segmented, allowing the ransomware to spread rapidly across various departments. The malware exploited this lack of segmentation to access critical systems that should have been isolated from each other, indicating the need for stronger network architecture and micro-segmentation.
- Inadequate Patch Management: The attackers exploited unpatched vulnerabilities in the hospital’s IT infrastructure, particularly within outdated software used for managing patient records and billing. The failure to apply timely patches allowed the ransomware to penetrate and escalate privileges within the network, underlining the importance of rigorous patch management policies.
7.4 Data Recovery and Backup Failures
- Inaccessible Backups: The malware specifically targeted backup servers, encrypting them alongside primary systems. This revealed weaknesses in the backup strategy, including the lack of offline or immutable backups that could have been used for recovery. The healthcare provider’s reliance on connected backups left them vulnerable to such targeted attacks.
- Slow Recovery Process: The restoration of systems from backups was hindered by the sheer volume of encrypted data and the complexity of the hospital’s IT environment. The investigation found that the backups were not regularly tested for integrity and completeness, resulting in partial data loss and extended downtime during recovery.
7.5 Incident Response and Containment
- Delayed Detection and Response: The initial response was delayed due to the sophisticated nature of the attack, with traditional security measures failing to identify the ransomware until significant damage had occurred. The AI-powered malware’s ability to adapt and camouflage its activities contributed to this delay, highlighting the need for AI-enhanced detection and response tools.
- Forensic Analysis Challenges: The anti-forensic capabilities of the malware, including log wiping and data obfuscation, complicated the post-incident forensic analysis. Investigators had to rely on advanced techniques, such as memory forensics and machine learning-based anomaly detection, to trace the malware’s activities and identify the attack vector.
8. Recommendations Based on Technical Findings
To prevent similar incidents, the following measures are recommended:
- AI-Powered Threat Detection: Implement AI-driven threat detection systems capable of identifying and responding to AI-powered attacks in real time. These systems should include behavioural analysis, anomaly detection, and machine learning models trained on diverse datasets.
- Enhanced Backup Strategies: Develop a more resilient backup strategy that includes offline, air-gapped, or immutable backups. Regularly test backup systems to ensure they can be restored quickly and effectively in the event of a ransomware attack.
- Strengthened Network Segmentation: Re-architect the network with robust segmentation and micro-segmentation to limit the spread of malware. Critical systems should be isolated, and access should be tightly controlled and monitored.
- Regular Vulnerability Assessments: Conduct frequent vulnerability assessments and patch management audits to ensure all systems are up to date. Implement automated patch management tools where possible to reduce the window of exposure to known vulnerabilities.
- Advanced Phishing Defences: Deploy AI-powered anti-phishing tools that can detect and block sophisticated phishing attempts. Train staff regularly on the latest phishing tactics, including how to recognize AI-generated phishing emails.
9. Conclusion
The AI empowered ransomware attack on the Indian healthcare provider in 2024 makes it clear that the threat of advanced cyber attacks has grown in the healthcare facilities. Sophisticated technical brief outlines the steps used by hackers hence underlining the importance of ongoing active and strong security. This event is a stark message to all about the importance of not only remaining alert and implementing strong investments in cybersecurity but also embarking on the formulation of measures on how best to counter such incidents with limited harm. AI is now being used by cybercriminals to increase the effectiveness of the attacks they make and it is now high time all healthcare organisations ensure that their crucial systems and data are well protected from such attacks.
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Introduction
Empowering today’s youth with the right skills is more crucial than ever in a rapidly evolving digital world. Every year on July 15th, the United Nations marks World Youth Skills Day to emphasise the critical role of skills development in preparing young people for meaningful work and resilient futures. As AI transforms industries and societies, equipping young minds with digital and AI skills is key to fostering security, adaptability, and growth in the years ahead.
Why AI Upskilling is Crucial in Modern Cyber Defence
Security in the digital age remains a complex challenge, regardless of the presence of Artificial Intelligence (AI). It is one of the biggest modern ironies, and not only that, it is a paradox wrapped in code, where the cure and the curse are written in the same language. The very hand that protects the world from cyber threats can very well be used for the creation of that threat. This being said, the modern-day implementation of AI has to circumvent the threats posed by it or any other advanced technology. A solid grasp of AI and machine learning mechanisms is no longer optional; it is fundamental for modern cybersecurity. The traditional cybersecurity training programs employ static content, which can often become outdated and inadequate for the vulnerabilities. AI-powered solutions, such as intrusion detection systems and next-generation firewalls, use behavioural analysis instead of just matching signatures. AI models are susceptible, nevertheless, as malevolent actors can introduce hostile inputs or tainted data to trick computers into incorrect classification. Data poisoning is a major threat to AI defences, according to Cisco's evidence.
As threats surpass the current understanding of cybersecurity professionals, a need arises to upskill them in advanced AI technologies so that they can fortify the security of current systems. Two of the most important skills for professionals would be AI/ML Model Auditing and Data Science. Skilled data scientists can sift through vast logs, from pocket captures to user profiles, to detect anomalies, assess vulnerabilities, and anticipate attacks. A news report from Business Insider puts it correctly: ‘It takes a good-guy AI to fight a bad-guy AI.’ The technology of generative AI is quite new. As a result, it poses fresh security issues and faces security risks like data exfiltration and prompt injections.
Another method that can prove effective is Natural Language Processing (NLP), which helps machines process this unstructured data, enabling automated spam detection, sentiment analysis, and threat context extraction. Security teams skilled in NLP can deploy systems that flag suspicious email patterns, detect malicious content in code reviews, and monitor internal networks for insider threats, all at speeds and scales humans cannot match.
The AI skills, as aforementioned, are not only for courtesy’s sake; they have become essential in the current landscape. India is not far behind in this mission; it is committed, along with its western counterparts, to employ the emerging technologies in its larger goal of advancement. With quiet confidence, India takes pride in its remarkable capacity to nurture exceptional talent in science and technology, with Indian minds making significant contributions across global arenas.
AI Upskilling in India
As per a news report of March 2025, Jayant Chaudhary, Minister of State, Ministry of Skill Development & Entrepreneurship, highlighted that various schemes under the Skill India Programme (SIP) guarantee greater integration of emerging technologies, such as artificial intelligence (AI), cybersecurity, blockchain, and cloud computing, to meet industry demands. The SIP’s parliamentary brochure states that more than 6.15 million recipients have received training as of December 2024. Other schemes that facilitate educating and training professionals, such as Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer are,
- Pradhan Mantri Kaushal Vikas Yojana 4.0 (PMKVY 4.0)
- Pradhan Mantri National Apprenticeship Promotion Scheme (PM-NAPS)
- Jan Shikshan Sansthan (JSS)
Another report showcases how Indian companies, or companies with their offices in India such as Ernst & Young (EY), are recognising the potential of the Indian workforce and yet their deficiencies in emerging technologies and leading the way by internal upskilling and establishing an AI Academy, a new program designed to assist businesses in providing their employees with essential AI capabilities, in response to the increasing need for AI expertise. Using more than 200 real-world AI use cases, the program offers interactive, organised learning opportunities that cover everything from basic ideas to sophisticated generative AI capabilities.
In order to better understand the need for these initiatives, a reference is significant to a report backed by Google.org and the Asian Development Bank; India appears to be at a turning point in the global use of AI. As per the research, “AI for All: Building an AI-Ready Workforce in Asia-Pacific,” India urgently needs to provide accessible and efficient AI upskilling despite having the largest workforce in the world. According to the paper, by 2030, AI could boost the Asia-Pacific region’s GDP by up to USD 3 trillion. The key to this potential is India, a country with the youngest and fastest-growing population.
Conclusion and CyberPeace Resolution
As the world stands at the crossroads of innovation and insecurity, India finds itself uniquely poised, with its vast young population and growing technologies. But to truly safeguard its digital future and harness the promise of AI, the country must think beyond flagship schemes. Imagine classrooms where students learn not just to code but to question algorithms, workplaces where AI training is as routine as onboarding.
India’s journey towards digital resilience is not just about mastering technology but about cultivating curiosity, responsibility, and trust. CyberPeace is committed to this future and is resolute in this collective pursuit of an ethically secure digital world. CyberPeace resolves to be an active catalyst in AI upskilling across India. We commit to launching specialised training modules on AI, cybersecurity, and digital ethics tailored for students and professionals. It seeks to close the AI literacy gap and develop a workforce that is both morally aware and technologically proficient by working with educational institutions, skilling initiatives, and industry stakeholders.
References
- https://www.helpnetsecurity.com/2025/03/07/ai-gamified-simulations-cybersecurity/
- https://www.businessinsider.com/artificial-intelligence-cybersecurity-large-language-model-threats-solutions-2025-5?utm
- https://apacnewsnetwork.com/2025/03/ai-5g-skills-boost-skill-india-targets-industry-demands-over-6-15-million-beneficiaries-trained-till-2024/
- https://indianexpress.com/article/technology/artificial-intelligence/india-must-upskill-fast-to-keep-up-with-ai-jobs-says-new-report-10107821/

Cyber, is the new weapon today! Cyber Violence is violence in cyber-space that has led to violation of cyber rights of individuals, especially those of children and women. Online violence and harassment have been overlooked laying more emphasis on offline or physical violence.
New Delhi [India], November 12 (ANI/NewsVoir): Cyber, is the new weapon today! Cyber Violence is violence in cyber-space that has led to violation of cyber rights of individuals, especially those of children and women. Online violence and harassment have been overlooked laying more emphasis on offline or physical violence. Cyber violence very often permanently, psychologically impacts the victims and their families. Various forms of threats ranging from morphing, stalking, solicitation of children for sexual purposes, online grooming, have grave consequences on the victims disturbing their mental well-being. Maintaining mental well-being in cyber space is a challenge we wish to promote and advocate for, in order to build responsible netizens.
Together, we stand against violation of cyber rights and strongly believe; it is critical to allow everyone to feel safe online. Netizen’s safety rights must be protected from all kinds of abuse and violence. Setting a mission of ‘Making India Cyber Safe for Children and Women’, Responsible Netism a social purpose organization in association with CyberPeace Foundation, an award-winning Cyber Security think tank working towards bringing CyberPeace in CyberSpace for more than two decades, host its 6th Annual National Conference on Cyber Psychology themed “India Fights Cyber Violence”, scheduled for Saturday, January 22, 2022. Ta advocate on the theme, the campaign #IndiaFightsCyberViolence was launched on November 11, 2021 by Vinay Sahasrabuddhe – President ICCR, Member of Parliament, Priyank Kanoongo – Chairperson, NCPCR and Rekha Sharma, Chairperson NCW at the ICCR Auditorium Delhi. The session was also attended by the CyberPeace Foundation team members.
Vinay Sahasrabuddhe has been a strong advocate of online safety of children, he shared his visionary words and focused on 3 R’s, Research, Reform and Reshape. He recommended extensive research was necessary to strongly voice concerns and remedies based on evidence-based research which would help us reform intervention strategies and the reshape the existing framework to best suit the needs to protect women and children in cyber space. The NCW Chairperson Rekha Sharma shared how critical it is to create awareness about online safety rights of women and reiterated the need for spreading awareness about online safety to reach the last mile in order to build collective action and bring change. She also mentioned the need to conducting nationwide trainings for the police personal to handle and report online distress.
Priyank Kanoongo, the Chairperson of NCPCR has been very proactively advocating for the cause of child online protection and has been instrumental in voicing critical in fiercely voicing his thoughts on protecting online safety rights of children across India. He shared the following thoughts at the launch. He said there is dire need to educate parents about online safety in order to let the information trickle down to their children. He said NCPCR does not hold any inhibitions in naming and shaming violators of child rights be it offline or online and will always raise a strong voice against platform ‘s inability to protect children in cyber space.
Vineet Kumar, Founder and Global President, CyberPeace Foundation, the partnering organization shared that this nationwide movement will build great momentum on the cause of online protection of children and women cross the country and urged organizations across India to pledge their support to the cause. The more people joining this movement would build collective pressure to formulate guidelines and policies the make cyber space safe for children and women. Sonali Patankar – Founder Responsible Netism shared the objective of the campaign was to let online safety reach the last mile and build on aggressive reporting of online content. The movement was an effort to make the campaign India Fights Cyber Violence to make India cyber safe for children.
She shared that the campaign launch would be followed by a nationwide research conducted to understand parents perspectives on cyber violence which would be handy in representing recommendations on women and child safety protocols through commoners. There would be a round table for organizations working with children chaired by Priyank Kanoongo on November 22 followed by a round table held for organizations working with Women chaired by Rekha Sharma Madam on December 22, 2021. The campaign would culminate in the Responsible Netism 6th National Cyber Psychology Conference scheduled for January 22, 2022 that would witness a compilation of the research and the work done throughout the campaign.
The launch was attended by Sujay Patki – Social Activist and Advisor Responsible Netism and Shilpa Chandolikar trustee Responsible Netism, Adv Khushbu Jain Advocate Supreme Court of India followed by the vote of thanks by Unmesh Joshi – Co-founder Responsible Netism. With the success of the launch and the support of NCPCR and NCW, we are sure to make this a nation-wide movement to protect cyber safety rights of netizens and strongly believe in collective action to make India Cyber Safe for Women and Children.
This story is provided by NewsVoir. ANI will not be responsible in any way for the content of this article. (ANI/NewsVoir)(This story has not been edited by Devdiscourse staff and is auto-generated from a syndicated feed.)