Sustainability and the Growth of Energy-Efficient Technologies in India in 2025

Introduction

Cybersecurity threats have been globally prevalent for quite some time now. All nations, organisations and individuals stand at risk from new and emerging potential cybersecurity threats, putting finances, privacy, data, identities and sometimes human lives at stake. The latest Data Breach Report by IBM revealed that nearly a staggering 83% of organisations experienced more than one data breach instance during 2022. As per the 2022 Data Breach Investigations Report by Verizon, the total number of global ransomware attacks surged by 13%, indicating a concerning rise equal to the last five years combined. The statistics clearly showcase how the future is filled with potential threats as we advance further into the digital age.  

Who is Okta?  

Okta is a secure identity cloud that links all your apps, logins and devices into a unified digital fabric. Okta has been in existence since 2009 and is based out of San Francisco, USA and has been one of the leading service providers in the States. The advent of the company led to early success based on the high-quality services and products introduced by them in the market. Although Okta is not as well-known as the big techs, it plays a vital role in big organisations' cybersecurity systems. More than 18,000 users of the identity management company's products rely on it to give them a single login for the several platforms that a particular business uses. For instance, Zoom leverages Okta to provide "seamless" access to its Google Workspace, ServiceNow, VMware, and Workday systems with only one login, thus showing how Okta is fundamental in providing services to ease the human effort on various platforms. In the digital age, such organisations are instrumental in leading the pathway to innovation and entrepreneurship. 

The Okta Breach

The last Friday, 20 October, Okta reported a hack of its support system, leading to chaos and havoc within the organisation. The result of the hack can be seen in the market in the form of the massive losses incurred by Okta in the stock exchange. 

Since the attack, the company's market value has dropped by more than $2 billion. The well-known incident is the most recent in a long line of events connected to Okta or its products, which also includes a wave of casino invasions that caused days-long disruptions to hotel rooms in Las Vegas, casino giants Caesars and MGM were both affected by hacks as reported earlier this year. Both of those attacks, targeting MGM and Caesars’ Okta installations, used a sophisticated social engineering attack that went through IT help desks.

What can be done to prevent this? 

Cybersecurity attacks on organisations have become a very common occurrence ever since the pandemic and are rampant all across the globe. Major big techs have been successful in setting up SoPs, safeguards and precautionary measures to protect their companies and their digital assets and interests. However, the Medium, Mico and small business owners are the most vulnerable to such unknown high-intensity attacks. The governments of various nations have established Computer Emergency Response Teams to monitor and investigate such massive-scale cyberattacks both on organisations and individuals. The issue of cybersecurity can be better addressed by inculcating the following aspects into our daily digital routines: 

• Team Upskilling: Organisations need to be critical in creating upskilling avenues for employees pertaining to cybersecurity and threats. These campaigns should be run periodically, focusing on both the individual and organisational impact of any threat.  
• Reporting Mechanism for Employees and Customers: Business owners and organisations need to deploy robust, sustainable and efficient reporting mechanisms for both employees well as customers. The mechanism will be fundamental in pinpointing the potential grey areas and threats in the cyber security mechanism as well. A dedicated reporting mechanism is now a mandate by a lot of governments around the world as it showcases transparency and natural justice in terms of legal remedies.  
• Preventive, Precautionary and Recovery Policies: Organisations need to create and deploy respective preventive, precautionary and recovery policies in regard to different forms of cyber attacks and threats. This will be helpful in a better understanding of threats and faster response in cases of emergencies and attacks. These policies should be updated regularly, keeping in mind the emerging technologies. Efficient deployment of the policies can be done by conducting mock drills and threat assessment activities.  
• Global Dialogue Forums: It is pertinent for organisations and the industry to create a community of cyber security enthusiasts from different and diverse backgrounds to address the growing issues of cyberspace; this can be done by conducting and creating global dialogue forums, which will act as the beacon of sharing best practices, advisories, threat assessment reports, potential threats and attacks thus establishing better inter-agency and inter-organisation communication and coordination.  
• Data Anonymisation and Encryption: Organisations should have data management/processing policies in place for transparency and should always store data in an encrypted and anonymous manner, thus creating a blanket of safety in case of any data breach.
• Critical infrastructure: The industry leaders should push the limits of innovation by setting up state-of-the-art critical cyber infrastructure to create employment, innovation, and entrepreneurship spirit among the youth, thus creating a whole new generation of cyber-ready professionals and dedicated netizens. Critical infrastructures are essential in creating a safe, secure, resilient and secured digital ecosystem. 
• Cysec Audits & Sandboxing: All organisations should establish periodic routines of Cybersecurity audits, both by internal and external entities, to find any issue/grey area in the security systems. This will create a more robust and adaptive cybersecurity mechanism for the organisation and its employees. All tech developing and testing companies need to conduct proper sandboxing exercises for all or any new tech/software creation to identify its shortcomings and flaws. 

‍Conclusion 

In view of the rising cybersecurity attacks on organisations, especially small and medium companies, a lot has been done, and a lot more needs to be done to establish an aspect of safety and security for companies, employees and customers. The impact of the Okta breach very clearly show how cyber attacks can cause massive repercussion for any organisation in the form of monetary loss, loss of business, damage to reputation and a lot of other factors. One should take such instances as examples and learnings for ourselves and prepare our organisation to combat similar types of threats, ultimately working towards preventing these types of threats and eradicating the influence of bad actors from our digital ecosystem altogether. 

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References: 

• https://hbr.org/2023/05/the-devastating-business-impacts-of-a-cyber-breach#:~:text=In%202022%2C%20the%20global%20average,legal%20fees%2C%20and%20audit%20fees.
• https://www.okta.com/intro-to-okta/#:~:text=Okta%20is%20a%20secure%20identity,use%20to%20work%2C%20instantly%20available.
• https://www.cyberpeace.org/resources/blogs/mgm-resorts-shuts-down-it-systems-after-cyberattack

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Introduction

In an era when misinformation spreads like wildfire across the digital landscape, the need for effective strategies to counteract these challenges has grown exponentially in a very short period. Prebunking and Debunking are two approaches for countering the growing spread of misinformation online. Prebunking empowers individuals by teaching them to discern between true and false information and acts as a protective layer that comes into play even before people encounter malicious content. Debunking is the correction of false or misleading claims after exposure, aiming to undo or reverse the effects of a particular piece of misinformation. Debunking includes methods such as fact-checking, algorithmic correction on a platform, social correction by an individual or group of online peers, or fact-checking reports by expert organisations or journalists. An integrated approach which involves both strategies can be effective in countering the rapid spread of misinformation online.

Brief Analysis of Prebunking 

Prebunking is a proactive practice that seeks to rebut erroneous information before it spreads. The goal is to train people to critically analyse information and develop ‘cognitive immunity’ so that they are less likely to be misled when they do encounter misinformation. 

The Prebunking approach, grounded in Inoculation theory, teaches people to recognise, analyse and avoid manipulation and misleading content so that they build resilience against the same. Inoculation theory, a social psychology framework, suggests that pre-emptively conferring psychological resistance against malicious persuasion attempts can reduce susceptibility to misinformation across cultures. As the term suggests, the MO is to help the mind in the present develop resistance to influence that it may encounter in the future. Just as medical vaccines or inoculations help the body build resistance to future infections by administering weakened doses of the harm agent, inoculation theory seeks to teach people fact from fiction through exposure to examples of weak, dichotomous arguments, manipulation tactics like emotionally charged language, case studies that draw parallels between truths and distortions, and so on. In showing people the difference, inoculation theory teaches them to be on the lookout for misinformation and manipulation even, or especially, when they least expect it. 

The core difference between Prebunking and Debunking is that while the former is preventative and seeks to provide a broad-spectrum cover against misinformation, the latter is reactive and focuses on specific instances of misinformation. While Debunking is closely tied to fact-checking, Prebunking is tied to a wider range of specific interventions, some of which increase motivation to be vigilant against misinformation and others increase the ability to engage in vigilance with success.

There is much to be said in favour of the Prebunking approach because these interventions build the capacity to identify misinformation and recognise red flags However, their success in practice may vary. It might be difficult to scale up Prebunking efforts and ensure their reach to a larger audience. Sustainability is critical in ensuring that Prebunking measures maintain their impact over time. Continuous reinforcement and reminders may be required to ensure that individuals retain the skills and information they gained from the Prebunking training activities. Misinformation tactics and strategies are always evolving, so it is critical that Prebunking interventions are also flexible and agile and respond promptly to developing challenges. This may be easier said than done, but with new misinformation and cyber threats developing frequently, it is a challenge that has to be addressed for Prebunking to be a successful long-term solution. 

Encouraging people to be actively cautious while interacting with information, acquire critical thinking abilities, and reject the effect of misinformation requires a significant behavioural change over a relatively short period of time. Overcoming ingrained habits and prejudices, and countering a natural reluctance to change is no mean feat. Developing a widespread culture of information literacy requires years of social conditioning and unlearning and may pose a significant challenge to the effectiveness of Prebunking interventions. 

Brief Analysis of Debunking 

Debunking is a technique for identifying and informing people that certain news items or information are incorrect or misleading. It seeks to lessen the impact of misinformation that has already spread. The most popular kind of Debunking occurs through collaboration between fact-checking organisations and social media businesses. Journalists or other fact-checkers discover inaccurate or misleading material, and social media platforms flag or label it. Debunking is an important strategy for curtailing the spread of misinformation and promoting accuracy in the digital information ecosystem. 

Debunking interventions are crucial in combating misinformation. However, there are certain challenges associated with the same. Debunking misinformation entails critically verifying facts and promoting corrected information. However, this is difficult owing to the rising complexity of modern tools used to generate narratives that combine truth and untruth, views and facts. These advanced approaches, which include emotional spectrum elements, deepfakes, audiovisual material, and pervasive trolling, necessitate a sophisticated reaction at all levels: technological, organisational, and cultural.

Furthermore, It is impossible to debunk all misinformation at any given time, which effectively means that it is impossible to protect everyone at all times, which means that at least some innocent netizens will fall victim to manipulation despite our best efforts.  Debunking is inherently reactive in nature, addressing misinformation after it has grown extensively. This reactionary method may be less successful than proactive strategies such as Prebunking from the perspective of total harm done. Misinformation producers operate swiftly and unexpectedly, making it difficult for fact-checkers to keep up with the rapid dissemination of erroneous or misleading information. Debunking may need continuous exposure to fact-check to prevent erroneous beliefs from forming, implying that a single Debunking may not be enough to rectify misinformation.  Debunking requires time and resources, and it is not possible to disprove every piece of misinformation that circulates at any particular moment. This constraint may cause certain misinformation to go unchecked, perhaps leading to unexpected effects. The misinformation on social media can be quickly spread and may become viral faster than Debunking pieces or articles. This leads to a situation in which misinformation spreads like a virus, while the antidote to debunked facts struggles to catch up.

Prebunking vs Debunking: Comparative Analysis

Prebunking interventions seek to educate people to recognise and reject misinformation before they are exposed to actual manipulation. Prebunking offers tactics for critical examination, lessening the individuals' susceptibility to misinformation in a variety of contexts. On the other hand, Debunking interventions involve correcting specific false claims after they have been circulated. While Debunking can address individual instances of misinformation, its impact on reducing overall reliance on misinformation may be limited by the reactive nature of the approach.

CyberPeace Policy Recommendations for Tech/Social Media Platforms

With the rising threat of online misinformation, tech/social media platforms can adopt an integrated strategy that includes both Prebunking and Debunking initiatives to be deployed and supported on all platforms to empower users to recognise the manipulative messaging through Prebunking and be aware of the accuracy of misinformation through Debunking interventions. 

1. Gamified Inoculation: Tech/social media companies can encourage gamified inoculation campaigns, which is a competence-oriented approach to Prebunking misinformation. This can be effective in helping people immunise the receiver against subsequent exposures. It can empower people to build competencies to detect misinformation through gamified interventions. 
2. Promotion of Prebunking and Debunking Campaigns through Algorithm Mechanisms: Tech/social media platforms may promote and guarantee that algorithms prioritise the distribution of Prebunking materials to users, boosting educational content that strengthens resistance to misinformation. Platform operators should incorporate algorithms that prioritise the visibility of Debunking content in order to combat the spread of erroneous information and deliver proper corrections; this can eventually address and aid in Prebunking and Debunking methods to reach a bigger or targeted audience.
3. User Empowerment to Counter Misinformation: Tech/social media platforms can design user-friendly interfaces that allow people to access Prebunking materials, quizzes, and instructional information to help them improve their critical thinking abilities. Furthermore, they can incorporate simple reporting tools for flagging misinformation, as well as links to fact-checking resources and corrections.
4. Partnership with Fact-Checking/Expert Organizations: Tech/social media platforms can facilitate Prebunking and Debunking initiatives/campaigns by collaborating with fact-checking/expert organisations and promoting such initiatives at a larger scale and ultimately fighting misinformation with joint hands initiatives.

Conclusion

The threat of online misinformation is only growing with every passing day and so, deploying effective countermeasures is essential.  Prebunking and Debunking are the two such interventions. To sum up: Prebunking interventions try to increase resilience to misinformation, proactively lowering susceptibility to erroneous or misleading information and addressing broader patterns of misinformation consumption, while Debunking is effective in correcting a particular piece of misinformation and having a targeted impact on belief in individual false claims. An integrated approach involving both the methods and joint initiatives by tech/social media platforms and expert organizations can ultimately help in fighting the rising tide of online misinformation and establishing a resilient online information landscape. 

References

1. https://mark-hurlstone.github.io/THKE.22.BJP.pdf
2. https://futurefreespeech.org/wp-content/uploads/2024/01/Empowering-Audiences-Through-%E2%80%98Prebunking-Michael-Bang-Petersen-Background-Report_formatted.pdf
3. https://newsreel.pte.hu/news/unprecedented_challenges_Debunking_disinformation
4. https://misinforeview.hks.harvard.edu/article/global-vaccination-badnews/

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Introduction

The mysteries of the universe have been a subject of curiosity for humans over thousands of years. To solve these unfolding mysteries of the universe, astrophysicists are always busy, and with the growing technology this seems to be achievable. Recently, with the help of Artificial Intelligence (AI), scientists have discovered the depths of the cosmos. AI has revealed the secret equation that properly “weighs” galaxy clusters. This groundbreaking discovery not only sheds light on the formation and behavior of these clusters but also marks a turning point in the investigation and discoveries of new cosmos. Scientists and AI have collaborated to uncover an astounding 430,000 galaxies strewn throughout the cosmos. The large haul includes 30,000 ring galaxies, which are considered the most unusual of all galaxy forms. The discoveries are the first outcomes of the "GALAXY CRUISE" citizen science initiative. They were given by 10,000 volunteers who sifted through data from the Subaru Telescope. After training the AI on 20,000 human-classified galaxies, scientists released it loose on 700,000 galaxies from the Subaru data. 

Brief Analysis

A group of astronomers from the National Astronomical Observatory of Japan (NAOJ) have successfully applied AI to ultra-wide field-of-view images captured by the Subaru Telescope. The researchers achieved a high accuracy rate in finding and classifying spiral galaxies, with the technique being used alongside citizen science for future discoveries.

Astronomers are increasingly using AI to analyse and clean raw astronomical images for scientific research. This involves feeding photos of galaxies into neural network algorithms, which can identify patterns in real data more quickly and less prone to error than manual classification. These networks have numerous interconnected nodes and can recognise patterns, with algorithms now 98% accurate in categorising galaxies.

Another application of AI is to explore the nature of the universe, particularly dark matter and dark energy, which make up over 95% energy of the universe. The quantity and changes in these elements have significant implications for everything from galaxy arrangement.

AI is capable of analysing massive amounts of data, as training data for dark matter and energy comes from complex computer simulations. The neural network is fed these findings to learn about the changing parameters of the universe, allowing cosmologists to target the network towards actual data.

These methods are becoming increasingly important as astronomical observatories generate enormous amounts of data. High-resolution photographs of the sky will be produced from over 60 petabytes of raw data by the Vera C. AI-assisted computers are being utilized for this.

Data annotation techniques for training neural networks include simple tagging and more advanced types like image classification, which classify an image to understand it as a whole. More advanced data annotation methods, such as semantic segmentation, involve grouping an image into clusters and giving each cluster a label.

This way, AI is being used for space exploration and is becoming a crucial tool. It also enables the processing and analysis of vast amounts of data. This advanced technology is fostering the understanding of the universe. However, clear policy guidelines and ethical use of technology should be prioritized while harnessing the true potential of contemporary technology. 

Policy Recommendation

• Real-Time Data Sharing and Collaboration - Effective policies and frameworks should be established to promote real-time data sharing among astronomers, AI developers and research institutes. Open access to astronomical data should be encouraged to facilitate better innovation and bolster the application of AI in space exploration. 
  

• Ethical AI Use - Proper guidelines and a well-structured ethical framework can facilitate judicious AI use in space exploration. The framework can play a critical role in addressing AI issues pertaining to data privacy, AI Algorithm bias and transparent decision-making processes involving AI-based tech. 
• Investing in Research and Development (R&D) in the AI sector - Government and corporate giants should prioritise this opportunity to capitalise on the avenue of AI R&D in the field of space tech and exploration. Such as funding initiatives focusing on developing AI algorithms coded for processing astronomical data, optimising telescope operations and detecting celestial bodies.
• Citizen Science and Public Engagement - Promotion of citizen science initiatives can allow better leverage of AI tools to involve the public in astronomical research. Prominent examples include the SETI @ Home program (Search for Extraterrestrial Intelligence), encouraging better outreach to educate and engage citizens in AI-enabled discovery programs such as the identification of exoplanets, classification of galaxies and discovery of life beyond earth through detecting anomalies in radio waves. 
• Education and Training - Training programs should be implemented to educate astronomers in AI techniques and the intricacies of data science. There is a need to foster collaboration between AI experts, data scientists and astronomers to harness the full potential of AI in space exploration. 
• Bolster Computing Infrastructure - Authorities should ensure proper computing infrastructure should be implemented to facilitate better application of AI in astronomy. This further calls for greater investment in high-performance computing devices and structures to process large amounts of data and AI modelling to analyze astronomical data. 

Conclusion

AI has seen an expansive growth in the field of space exploration. As seen, its multifaceted use cases include discovering new galaxies and classifying celestial objects by analyzing the changing parameters of outer space. Nevertheless, to fully harness its potential, robust policy and regulatory initiatives are required to bolster real-time data sharing not just within the scientific community but also between nations. Policy considerations such as investment in research, promoting citizen scientific initiatives and ensuring education and funding for astronomers. A critical aspect is improving key computing infrastructure, which is crucial for processing the vast amount of data generated by astronomical observatories. 

References

• https://mindy-support.com/news-post/astronomers-are-using-ai-to-make-discoveries/
• https://www.space.com/citizen-scientists-artificial-intelligence-galaxy-discovery
• https://www.sciencedaily.com/releases/2024/03/240325114118.htm
• https://phys.org/news/2023-03-artificial-intelligence-secret-equation-galaxy.html
• https://www.space.com/astronomy-research-ai-future

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