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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:

1. 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.
2. 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.
3. 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.
4. 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.
5. 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

The Telecommunications Act of 2023 was passed by Parliament in December, receiving the President's assent and being published in the official Gazette on December 24, 2023. The act is divided into 11 chapters 62 sections and 3 schedules. Sections 1, 2, 10-30, 42-44, 46, 47, 50-58, 61 and 62 already took effect on June 26, 2024. 

On July 04, 2024, the Centre issued a Gazetted Notification and sections 6-8, 48 and 59(b) were notified to be effective from July 05, 2024. The Act aims to amend and consolidate the laws related to telecommunication services, telecommunication networks, and spectrum assignment and it ‘repeals’ certain older colonial-era legislations like the Indian Telegraph Act 1885 and Indian Wireless Telegraph Act 1933. Due to the advancements in technology in the telecom sector, the new law is enacted. 

On 18 July 2024 Thursday, the telecom minister while launching the theme of Indian Mobile Congress (IMC), announced that all rules and provisions of the new Telecom Act would be notified within the next 180 days, hence making the Act operational at full capacity. 

Important definitions under Telecommunications Act, 2023

1. Authorisation: Section 2(d) entails “authorisation” means a permission, by whatever name called, granted under this Act for— (i) providing telecommunication services; (ii) establishing, operating, maintaining or expanding telecommunication networks; or (iii) possessing radio equipment.
2. Telecommunication: Section 2(p) entails “Telecommunication” means transmission, emission or reception of any messages, by wire, radio, optical or other electro-magnetic systems, whether or not such messages have been subjected to rearrangement, computation or other processes by any means in the course of their transmission, emission or reception.
3. Telecommunication Network: Section 2(s) entails “telecommunication network” means a system or series of systems of telecommunication equipment or infrastructure, including terrestrial or satellite networks or submarine networks, or a combination of such networks, used or intended to be used for providing telecommunication services, but does not include such telecommunication equipment as notified by the Central Government.
4. Telecommunication Service: Section 2(t) entails “telecommunication service” means any service for telecommunication.

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Measures for Cyber Security for the Telecommunication Network/Services

Section 22 of the Telecommunication Act, 2023 talks about the protection of telecommunication networks and telecommunication services. The section specifies that the centre may provide rules to ensure the cybersecurity of telecommunication networks and telecommunication services. Such measures may include the collection, analysis and dissemination of traffic data that is generated, transmitted, received or stored in telecommunication networks. ‘Traffic data’ can include any data generated, transmitted, received, or stored in telecommunication networks – such as type, duration, or time of a telecommunication. 

Section 22 further empowers the central government to declare any telecommunication network, or part thereof, as Critical Telecommunication Infrastructure. It may further provide for standards, security practices, upgradation requirements and procedures to be implemented for such Critical Telecommunication Infrastructure. 

CyberPeace Policy Wing Outlook:

The Telecommunication Act, 2023 marks a significant change & growth in the telecom sector by providing a robust regulatory framework, encouraging research and development, promoting infrastructure development, and measures for consumer protection. The Central Government is empowered to authorize individuals for (a) providing telecommunication services, (b) establishing, operating, maintaining, or expanding telecommunication networks, or (c) possessing radio equipment. Section 48 of the act provides no person shall possess or use any equipment that blocks telecommunication unless permitted by the Central Government. 

The Central Government will protect users by implementing different measures, such as the requirement of prior consent of users for receiving particular messages, keeping a 'Do Not Disturb' register to stop unwanted messages, the mechanism to enable users to report any malware or specified messages received, the preparation and maintenance of “Do Not Disturb” register, to ensure that users do not receive specified messages or class of specified messages without prior consent. The authorized entity providing telecommunication services will also be required to create an online platform for users for their grievances pertaining to telecommunication services. 

In certain limited circumstances such as national security measures, disaster management and public safety, the act contains provisions empowering the Government to take temporary possession of telecom services or networks from authorised entity; direct interception or disclosure of messages, with measures to be specified in rulemaking. This entails that the government gains additional controls in case of emergencies to ensure security and public order. However, this has to be balanced with appropriate measures protecting individual privacy rights and avoiding any unintended arbitrary actions. 

Taking into account the cyber security in the telecommunication sector, the government is empowered under the act to introduce standards for cyber security for telecommunication services and telecommunication networks; and encryption and data processing in telecommunication. 

The act also promotes the research and development and pilot projects under Digital Bharat Nidhi. The act also promotes the approach of digital by design by bringing online dispute resolution and other frameworks. Overall the approach of the government is noteworthy as they realise the need for updating the colonial era legislation considering the importance of technological advancements and keeping pace with the digital and technical revolution in the telecommunication sector. 

References:

1. The Telecommunications Act, 2023 https://acrobat.adobe.com/id/urn:aaid:sc:AP:88cb04ff-2cce-4663-ad41-88aafc81a416
2. https://pib.gov.in/PressReleasePage.aspx?PRID=2031057
3. https://pib.gov.in/PressReleaseIframePage.aspx?PRID=2027941
4. https://economictimes.indiatimes.com/industry/telecom/telecom-news/new-telecom-act-will-be-notified-in-180-days-bsnl-4g-rollout-is-monitored-on-a-daily-basis-scindia/articleshow/111851845.cms?from=mdr
5. https://www.azbpartners.com/wp-content/uploads/2024/06/Update-Staggered-Enforcement-of-Telecommunications-Act-2023.pdf
6. https://telecom.economictimes.indiatimes.com/blog/analysing-the-impact-of-telecommunications-act-2023-on-digital-india-mission/111828226

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Introduction

The AI Action Summit is a global forum that brings together world leaders, policymakers, technology experts, and industry representatives to discuss AI governance, ethics, and its role in society. This year, the week-long  Paris AI Action Summit officially culminated on the 11th of February, 2025. It brought together experts from the industry, policymakers, and other dignitaries to discuss Artificial Intelligence and its challenges. The event was co-chaired by Indian Prime Minister Narendra Modi and French President Emmanuel Macron. In line with the summit, the Indian delegation actively engaged in the 2nd India-France AI Policy Roundtable, an official side event of the summit, and the 14th India-France CEOs Forum. These discussions were on diverse sectors including defense, aerospace, technology, etc. among other things.

Prime Minister Modi’s Address 

During the AI Action Summit in Paris, Prime Minister Narendra Modi drew attention to the revolutionary effect of AI in politics, the economy, security, and society. Stressing the requirement of international cooperation, he promoted strong frameworks of governance to combat AI-based risks and consequently, build public confidence in new technologies. Needed efforts with respect to cybersecurity issues such as deepfakes and disinformation were also acknowledged. 

Democratising AI, and sharing its benefits, particularly with the Global South not only aligned with Sustainable Development Goals (SDGs) but also affirmed India’s resolve towards sharing expertise and best practices. India’s remarkable feat of creating a Digital Public Infrastructure,  that caters to a population of 1.4 billion through open and accessible technology was highlighted as well.

Among the key announcements, India revealed its plans to create its own Large Language Model (LLM) that reflects the country's linguistic diversity, strengthening its AI aspirations. Further, India will be hosting the next AI Action Summit, reaffirming its position in international AI leadership. The Prime Minister also welcomed France's initiatives, such as the launch of the "AI Foundation" and the "Council for Sustainable AI", initiated by President Emmanuel Macron. He emphasized the necessity to extend the Global Partnership for AI and to get it more representative and inclusive so that Global South voices are actually incorporated into AI innovation and governance.

Other Perspectives

Though there were 58 countries that signed the international agreement on a more open, inclusive, sustainable, and ethical approach to AI development (including India, France, and China), the UK and the US have refused to sign the international agreement at the AI Summit stating their issues with global governance and national security. While the former raised concerns about the lack of sufficient details regarding the establishment of global AI governance and AI’s effect on national security as their reason, the latter showcased its reservations about the overly wide AI regulations which had the potential to hamper a transformative industry. Meanwhile, the US is also looking forward to ‘Stargate’, its $500 billion AI infrastructure project alongside the companies- OpenAI, Softbank, and Oracle. 

CyberPeace Insights

The Summit has garnered greater significance with the backdrop of the release of platforms such as DeepSeek R1, China’s AI assistant system similar to that of OpenAI’s ChatGPT. On its release, it was the top-rated free application on Apple’s app store and sent the technology stocks tumbling. Moreover, investors world over appreciated the creation of the model which was made roughly in about $5 million while other AI companies spent more in comparison (keeping in mind the restrictions caused by the chip export controls in China). This breakthrough challenges the conventional notion that massive funding is a prerequisite for innovation, offering hope for India’s burgeoning AI ecosystem. With the IndiaAI mission and fewer geopolitical restrictions, India stands at a pivotal moment to drive responsible AI advancements. 

References:

• https://www.mea.gov.in/press-releases.htm?dtl/39023/Prime_Minister_cochairs_AI_Action_Summit_in_Paris_February_11_2025
• https://indianexpress.com/article/explained/explained-sci-tech/what-is-stargate-trumps-500-billion-ai-project-9793165/
• https://pib.gov.in/PressReleasePage.aspx?PRID=2102056
• https://pib.gov.in/PressReleasePage.aspx?PRID=2101947
• https://pib.gov.in/PressReleasePage.aspx?PRID=2101896
• https://www.timesnownews.com/technology-science/uk-and-us-decline-to-sign-global-ai-agreement-at-paris-ai-action-summit-here-is-why-article-118164497 
• https://www.thehindu.com/sci-tech/technology/india-57-others-sign-paris-joint-statement-on-inclusive-sustainable-ai/article69207937.ece 

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