#Fact Check: Viral Footage from Bangladesh Incorrectly Portrayed as Immigrant March for Violence in Assam.

Introduction

India’s digital growth journey has been moving at a tremendous pace. According to MeitY’s report, India’s digital economy is expected to rise to US$ 500 billion by 2025, up from US$ 200 billion in 2019. The digitisation drive that we are experiencing is likely to foster and boost a favourable business environment that will attract rapid investment and augment economic growth across sectors. This will, in turn, compel businesses to adopt digital platforms as solutions to meet customer expectations. Due to accelerated digitisation, cyber risks often deter business growth. Cybercrimes are becoming more rampant and complex and the costs associated with such breaches are not only increasing but also becoming more systemic.

Development of the Cyber Insurance Landscape

Digitization of businesses started in the 1980s with the use of mainframes. Personal computers entered the game and further modified the landscape from the 2000s along with LANs, the internet and the dot-com boom of the 2000s. In the late 1990s, cyber-insurance was developed as a risk management tool to ensure information security. Coverage was limited, and clients included SMEs in need of insurance to qualify for tenders, or community banks too small to hedge the risks of their online banking operations. The first cyber insurance policy was written in 1997 through AIG, against hacking as a third-party liability policy. 

The current trends in the cyber insurance space are focused on the prevention of cyber risks, which by nature are hard to outline and constantly evolving. The result is that the buyers have limited clarity on the types of cyber risks covered under cyber insurance, and even lesser visibility on the scope and amount of optimum coverage. Unfamiliarity with the claim procedure and resolutions, ambiguous claim thresholds during settlements, and confusion around exclusions and coverage of regulatory fines and penalties under a purchased scheme further discourage potential buyers from seriously investing in cyber insurance products. 

Key Factors in Cyber Insurance Evolution and Its Role in Risk Management

The cyber insurance market in India has three key influencing factors, namely the speed of achieving digital maturity, government initiatives to digitise and enforce stringent cyber laws, and the evolving landscape with technology giants and MNCs entering the cyber insurance domain. The latter  are the catalyst for intensifying competition in this market. 

Advancements in technology in terms of AI, machine learning, big data, robotics, blockchain, augmented and virtual reality, and IoT are expected to reshape the insurance industry and help reach untapped audiences in a more digital-forward manner. With the absence of a standard cyber insurance policy, regulators need to take the following variables into consideration while developing cyber insurance policies: the risk insured against, the scope of the loss covered and the limits/ sub-limits.

Challenges 

With the complexity of cyber risks increasing exponentially the challenges to counter the same are growing too which is leading to gaps in the coverage offered for cyber threats. Resultantly, the compliance regulations are dependent on the risks which exist and cyber threat actors adopt new technologies faster and exploit them to their benefit. A lack of historical data and predictability in future cyber risks, the possibility of large overwhelming loss events, uncertainties among market participants about what is specifically covered under such policies, and legal battles over fundamental issues are some of the challenges identified.

Future Outlook/ Recommendations

India's cyber infrastructure requires a multi-faceted approach that involves collaboration between government, industry, and academia should be developed. Some recommendations are:

• Risk assessments should be a general practice and the cyber insurance policies should be simplified, clearing the mismatch between the premium paid and insurance coverage and there should be standard verbosity across cyber policy language.
• Promoting R&D tailored to India focused on education programs that have public-private partnerships and global collaborations to share threat intelligence, best practices, and expertise in critical infrastructure protection.
• Cyber insurance can also be promoted as compliance with the DPDP Act, which would lead to better development of cyber infrastructure and cyber hygiene practices.
• Regular updates to cyber insurance policies to ensure relevance and effectiveness. Insurers could create and offer holistic cyber insurance risk management plans.

Conclusion

According to a report by Deloitte in 2023, the cyber insurance market in India is expected to grow by 27-30 per cent in the coming years and it is currently valued at USD 50-60 million, while maintaining a steady 27-30 per cent CAGR in the past three years. The Indian cyber infrastructure’s nature is challenging, however, it offers opportunities for growth, innovation, and collaboration. A proactive approach, supported by robust policies, advanced technologies, and skilled professionals, will be essential to building a resilient cyber infrastructure capable of withstanding evolving threats.

Reference

• https://www2.deloitte.com/content/dam/Deloitte/nl/Documents/financial-services/deloitte-nl-fsi-demystifying-cyber-insurance-coverage-report.pdf
• https://www.dnaindia.com/business/report-what-s-cyber-liablity-insurance-and-why-you-may-need-it-2136556‍
• https://economictimes.indiatimes.com/industry/banking/finance/insure/cyber-insurance-gains-momentum-in-india-set-to-witness-exponential-growth-deloitte/articleshow/104189297.cms?from=mdr

Introduction

The Senate bill introduced on 19 March 2024 in the United States would require online platforms to obtain consumer consent before using their data for Artificial Intelligence (AI) model training. If a company fails to obtain this consent, it would be considered a deceptive or unfair practice and result in enforcement action from the Federal Trade Commission (FTC) under the AI consumer opt-in, notification standards, and ethical norms for training (AI Consent) bill. The legislation aims to strengthen consumer protection and give Americans the power to determine how their data is used by online platforms. 

The proposed bill also seeks to create standards for disclosures, including requiring platforms to provide instructions to consumers on how they can affirm or rescind their consent. The option to grant or revoke consent should be made available at any time through an accessible and easily navigable mechanism, and the selection to withhold or reverse consent must be at least as prominent as the option to accept while taking the same number of steps or fewer as the option to accept.

The AI Consent bill directs the FTC to implement regulations to improve transparency by requiring companies to disclose when the data of individuals will be used to train AI and receive consumer opt-in to this use. 
The bill also commissions an FTC report on the technical feasibility of de-identifying data, given the rapid advancements in AI technologies, evaluating potential measures companies could take to effectively de-identify user data.

The definition of ‘Artificial Intelligence System’ under the proposed bill

ARTIFICIALINTELLIGENCE SYSTEM- The term artificial intelligence system“ means a machine-based system that—

1. Is capable of influencing the environment by producing an output, including predictions, recommendations or decisions, for a given set of objectives; and
2. 2. Uses machine or human-based data and inputs to

(i) Perceive real or virtual environments;

(ii) Abstract these perceptions into models through analysis in an automated manner (such as by using machine learning) or manually; and

(iii) Use model inference to formulate options for outcomes.

Importance of the proposed AI Consent Bill USA

1. Consumer Data Protection: The AI Consent bill primarily upholds the privacy rights of an individual. Consent is necessitated from the consumer before data is used for AI Training; the bill aims to empower individuals with unhinged autonomy over the use of personal information. The scope of the bill aligns with the greater objective of data protection laws globally, stressing the criticality of privacy rights and autonomy.

2. Prohibition Measures: The proposed bill intends to prohibit covered entities from exploiting the data of consumers for training purposes without their consent. This prohibition extends to the sale of data, transfer to third parties and usage. Such measures aim to prevent data misuse and exploitation of personal information. The bill aims to ensure companies are leveraged by consumer information for the development of AI without a transparent process of consent.

3. Transparent Consent Procedures: The bill calls for clear and conspicuous disclosures to be provided by the companies for the intended use of consumer data for AI training. The entities must provide a comprehensive explanation of data processing and its implications for consumers. The transparency fostered by the proposed bill allows consumers to make sound decisions about their data and its management, hence nurturing a sense of accountability and trust in data-driven practices.

4. Regulatory Compliance: The bill's guidelines call for strict requirements for procuring the consent of an individual. The entities must follow a prescribed mechanism for content solicitation, making the process streamlined and accessible for consumers. Moreover, the acquisition of content must be independent, i.e. without terms of service and other contractual obligations. These provisions underscore the importance of active and informed consent in data processing activities, reinforcing the principles of data protection and privacy.

5. Enforcement and Oversight: To enforce compliance with the provisions of the bill, robust mechanisms for oversight and enforcement are established. Violations of the prescribed regulations are treated as unfair or deceptive acts under its provisions. Empowering regulatory bodies like the FTC to ensure adherence to data privacy standards. By holding covered entities accountable for compliance, the bill fosters a culture of accountability and responsibility in data handling practices, thereby enhancing consumer trust and confidence in the digital ecosystem.

Importance of Data Anonymization

Data Anonymization is the process of concealing or removing personal or private information from the data set to safeguard the privacy of the individual associated with it. Anonymised data is a sort of information sanitisation in which data anonymisation techniques encrypt or delete personally identifying information from datasets to protect data privacy of the subject. This reduces the danger of unintentional exposure during information transfer across borders and allows for easier assessment and analytics after anonymisation. When personal information is compromised, the organisation suffers not just a security breach but also a breach of confidence from the client or consumer. Such assaults can result in a wide range of privacy infractions, including breach of contract, discrimination, and identity theft.

The AI consent bill asks the FTC to study data de-identification methods. Data anonymisation is critical to improving privacy protection since it reduces the danger of re-identification and unauthorised access to personal information. Regulatory bodies can increase privacy safeguards and reduce privacy risks connected with data processing operations by investigating and perhaps implementing anonymisation procedures.

The AI consent bill emphasises de-identification methods, as well as the DPDP Act 2023 in India, while not specifically talking about data de-identification, but it emphasises the data minimisation principles, which highlights the potential future focus on data anonymisation processes or techniques in India.

Conclusion

The proposed AI Consent bill in the US represents a significant step towards enhancing consumer privacy rights and data protection in the context of AI development. Through its stringent prohibitions, transparent consent procedures, regulatory compliance measures, and robust enforcement mechanisms, the bill strives to strike a balance between fostering innovation in AI technologies while safeguarding the privacy and autonomy of individuals.

References:

• https://fedscoop.com/consumer-data-consent-training-ai-models-senate-bill/#:~:text=%E2%80%9CThe%20AI%20CONSENT%20Act%20gives,Welch%20said%20in%20a%20statement
• https://www.dataguidance.com/news/usa-bill-ai-consent-act-introduced-house#:~:text=USA%3A%20Bill%20for%20the%20AI%20Consent%20Act%20introduced%20to%20House%20of%20Representatives,-ConsentPrivacy%20Law&text=On%20March%2019%2C%202024%2C%20US,the%20U.S.%20House%20of%20Representatives
• https://datenrecht.ch/en/usa-ai-consent-act-vorgeschlagen/
• https://www.lujan.senate.gov/newsroom/press-releases/lujan-welch-introduce-billto-require-online-platforms-receive-consumers-consent-before-using-their-personal-data-to-train-ai-models/

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Introduction

Attacks by cybercriminals targeting national critical infrastructure are increasing at an unsettling rate. Such attacks have the potential to do severe damage by upsetting transportation networks, utilities, financial services, and other vital infrastructure. The physical and digital systems that underpin a nation's economy are known as critical infrastructure thus if they were to be disrupted, there would be serious risks to the economy and public health and safety. Establishing proper cybersecurity measures and protecting those digital systems from possible threats or cyberattacks is necessary. Both public and private sector assets are included in these essential infrastructure categories.

Nationwide alert:

Recently one of the biggest hacker organizations has warned of an upcoming cyberattack on the critical infrastructure and websites in India, causing a countrywide alert. A gang of hackers from Indonesia and Pakistan, celebrating 4,000 members, announced a planned “Cyber Party” on 11 December 2023. The event’s claimed goal is to compromise and disrupt India's digital infrastructure. They disclosed this information on their Telegram channel.

This hacker organization holds a record of launching extensive cyberattacks; in the past, it sent out a "red notice" that was intended to target 12,000 websites run by the Indian government. They have previously attacked other nations, such as Israel, Sweden, and the United States. Their reasons are varied and might include anything from assaults on certain groups to religious disagreements.

The gang has also been acclaimed for hacking into a New York City police agency, obtaining health and social media data from Israel, and exposing information from Swedish social media users. These alarming events show how urgently strong and all-encompassing cybersecurity measures are needed, not only in India but throughout the world.

Effect(s) on India

1.  Central Agencies Are Alert, Expect Health Sector Attacks: The cyberinfrastructure of the health sector has been a common target of assaults, particularly in the aftermath of the COVID-19 epidemic, which has authorities particularly concerned. Relevant ministries have received notifications from central authorities advising them to take precautions against unwanted access. The security of digital infrastructure is seriously challenged by the constantly changing panorama of cyber-attacks, according to those who are aware of the warning and threat.

2. National security concerns: Because of the interconnectedness of critical national infrastructure, a cyberattack may have an impact on national security. Attacks against defense networks, intelligence organizations health infrastructure, or military systems, for instance, might make it more difficult for the nation to respond to threats from outside.

3.    Concerns for Public Safety and Health: Cyberattacks on healthcare systems run the risk of compromising patient data, stopping medical procedures, and even endangering the general public's health. This might have potentially fatal results in urgent circumstances.

4.  Data Breach and Privacy Issues: Stealing confidential data is a common component of cybersecurity assaults. A breach of critical infrastructure systems might result in sensitive data, including personal information, being misused and accessed without authorization, raising privacy issues.

Preventive and protective measures

1.    The plan for responding to incidents: Make sure a clear incident response strategy is in place, with a focus on healthcare systems, and that it is especially designed to handle cyber-attacks on critical infrastructure.

2.  Better Tracking: Observing vital networks, systems, and data flows more closely, especially in the healthcare industry. Using cutting-edge threat detection technologies to spot odd or questionable activity.

3.   Critical System Isolation: Cutting off vital healthcare systems from the wider network to reduce the chance of attackers moving laterally.

4.   Continual Backups: Make sure that backup copies of important data and systems are kept in a safe, isolated location by regularly backing them up. In the event of a ransomware attack or data breach, this makes recovery easier.

5.    Update and patch systems: Make sure that all operating systems and apps utilized in the infrastructure of the healthcare industry are updated with the most recent security updates.

6. Protocols for Communication: In the case of a cyber-incident, establishing explicit communication mechanisms to guarantee that pertinent parties are notified as soon as possible. This covers correspondence with law enforcement, the public, and other members of the healthcare industry as needed.

Conclusion

Urgent preventative actions are essential in response to an impending cyber threat revealed by a large hacker organization that is targeting India's key infrastructure, specifically the healthcare sector. The interconnectedness of this infrastructure puts public safety, privacy, and national security in danger. A crucial defensive approach is formed by the proactive measures mentioned, which include communication protocols, system isolation, improved monitoring, incident response preparation, and frequent backups. The dangers underline the necessity of international collaboration in tackling cybersecurity issues and the requirement for shared responsibility of everyone to safeguard digital networks. To reduce risks and guarantee the resilience of vital national infrastructure in the face of changing cyber threats, authorities must continue to develop and adapt their cybersecurity tactics.

References:

• https://www.cnbctv18.com/technology/exclusive--nationwide-alert-sounded-as-hacker-group-plans-cyber-party-to-attack-indias-critical-digital-infra-18520021.htm
• https://www.the420.in/ndian-authorities-high-alert-hacker-groups-threaten-cyber-assault/
• https://www.cnbctv18.com/technology/exclusive--nationwide-alert-sounded-as-hacker-group-plans-cyber-party-to-attack-indias-critical-digital-infra-18520021.htm#:~:text=By%20News18.com%20Dec%208,%3A58%20AM%20IST%20(Published)&text=A%20nationwide%20alert%20has%20been,Indian%20websites%20and%20critical%20infrastructure
• https://verveindustrial.com/resources/blog/critical-infrastructure-cyber-security/