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In an exciting milestone achieved by CyberPeace, an ICANN APRALO At-Large organization, in collaboration with the Internet Corporation for Assigned Names and Numbers (ICANN), has successfully deployed and made operational an L-root server instance in Ranchi, Jharkhand. This initiative marks a significant step toward enhancing the resilience, speed, and security of internet connectivity in eastern India.

Understanding the DNS hierarchy – Starting from Root

Internet users access online information through different domain names and interactions with any web browser takes place through IP (Internet Protocol) addresses. Domain Name System (DNS) functions as the internet's equivalent of Yellow Pages or the phonebook of cyberspace. When a person uses a domain name like www.cyberpeace.org to access a website, their browser communicates with the internet protocol, and DNS converts the domain name to the corresponding IP address so that web browsers may load the web pages. The function of a DNS is to convert domain names to Internet Protocol addresses. It enables the respective browsers to load the resources from the Internet.

When a user types a domain name into your browser, a DNS query works behind the scenes to find the website’s IP address. First, your device asks a DNS resolver—often provided by your ISP or a third-party service—for the address. The resolver checks its cache for a match, and if none is found, it queries a root server to locate the top-level domain (TLD) server (like .com or .org). The resolver then asks the TLD server for the Authoritative nameserver responsible for the particular domain, which provides the specific IP address. Finally, the resolver sends this address back to your device, enabling it to connect to the website’s server and load the page. The entire process happens in milliseconds, ensuring seamless browsing.

Special focus on Root Server:

A root server is a name server that directly answers queries for records in the root zone and redirects requests for more specific domains to the appropriate top-level domain (TLD) servers. Root servers are an integral part of this system, acting as the first step in resolving a domain name into its corresponding IP address. They provide the initial direction needed to locate the authoritative servers for any domain.

The DNS root zone is served by 13 unique IP addresses, supported by hundreds of redundant root servers distributed worldwide connected through Anycast Routing to manage requests efficiently. As of January 8, 2025, the global root server system consists of 1921 instances operated by 12 independent root server operators. These servers ensure the smooth functioning of the internet by managing the backbone of DNS queries.

Type of Root Server Instances:

Well, in this regard,  there are two types of root server instances that can be found– Global instance and Local instance. 

Global root server instances are the primary root servers distributed strategically around the world. Local instances, on the other hand, are replicas of these global servers deployed in specific regions to handle local DNS traffic more efficiently. In each operator's list of sites, some instances are marked as global (globe icon) and some are marked as local (flag icon). The difference is in how widely available that instance will be, because of how routing for that instance is done. Recall that the routes for an instance are announced by BGP, the inter-domain routing protocol.

For global instances, the route advertisement is permitted to spread throughout the Internet, i.e., any router on the Internet could know the path to that instance. Of course, for a particular source, the route to that instance may not be the optimal route, so some other instance could be chosen as the destination.

With a local instance, however, the route advertisement is limited to only nearby networks. For example, the instance may be visible to just one ISP, or to ISPs that connect at a particular exchange point. Sources from farther away will not be able to see and query that local instance.

Deployment in Ranchi - The Journey & Significance:

CyberPeace in Collaboration with ICANN has successfully deployed an L-root server instance in Ranchi, marking a significant milestone in enhancing regional Internet infrastructure. This deployment, part of a global network of root servers, ensures faster and more reliable DNS query resolution for the region, reducing latency and enhancing cybersecurity. 

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The Journey of deploying the L-Root instance in Collaboration with ICANN followed the steps-
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• Signing the Agreement: Finalized the L-SINGLE Hosting Agreement with ICANN to formalize the partnership.
• Procuring the Hardware: Acquired the required hardware appliance to meet technical standards for hosting the L-root server.
• Setup and Installation: Configured and installed the appliance to prepare it for seamless operation.
• Joining the Anycast Network: Integrated the server into ICANN's global Anycast network using BGP (Border Gateway Protocol) for efficient DNS traffic management.

The deployment of the L-root server in Ranchi marks a significant boost to the region’s digital ecosystem. It accelerates DNS query resolution, reducing latency and enhancing internet speed and reliability for users.

This instance strengthens cyber defenses by mitigating Distributed Denial of Service (DDoS) risks and managing local traffic efficiently. It also underscores Eastern India’s advanced digital infrastructure, aligning with initiatives like Digital India to meet evolving digital demands.

By handling local queries, the L-root server eases the load on global servers, contributing to a more stable and resilient global internet.

CyberPeace’s Commitment to a Secure and resilient Cyberspace

As an organization dedicated to promoting peace, security and resilience in cyberspace, CyberPeace views this collaboration with ICANN as a significant achievement in its mission. By strengthening the internet’s backbone in eastern India, this deployment underscores our commitment to enabling a secure, accessible, and resilient digital ecosystem. 

Way forward and Roadmap for Strengthening India’s DNS Infrastructure:

The successful deployment of the L-root instance in Ranchi is a stepping stone toward bolstering India's digital ecosystem. CyberPeace aims to promote awareness about DNS infrastructure through workshops and seminars, emphasizing its critical role in a resilient digital future.

With plans to deploy more such root server instances across India, the focus is on expanding local DNS infrastructure to enhance efficiency and security. Collaborative efforts with government agencies, ISPs, and tech organizations will drive this vision forward. A robust monitoring framework will ensure optimal performance and long-term sustainability of these initiatives.

Conclusion

The deployment of the L-root server instance in Eastern India represents a monumental step toward strengthening the region’s digital foundation. As Ranchi joins the network of cities hosting root server instances, the benefits will extend not only to the local community but also to the global internet ecosystem. With this milestone, CyberPeace reaffirms its commitment to driving innovation and resilience in cyberspace, paving the way for a more connected and secure future.

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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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Introduction

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In the hyperconnected world, cyber incidents can no longer be treated as sporadic disruptions; such incidents have become an everyday occurrence. The attack landscape today is very consequential and shows significant multiplication in its frequency, with ransomware attacks incapacitating a health system, phishing attacks hitting a financial institution, or state-sponsored attacks on critical infrastructures. Towards counteracting such threats, traditional ways alone are not enough, they gravely rely on manual research and human intellect. Attackers exercise speed, scale, and stealth, and defenders are always four steps behind. With such a widening gap, it is deemed necessary to facilitate incident response and crisis management with the intervention of automation and artificial intelligence (AI) for faster detection, context-driven decision-making, and collaborative response beyond human capabilities.

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Incident Response and Crisis Management

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Incident response is the structured way in which organisations deal with responding to detecting, segregating, and recovering from security incidents. Crisis management takes this even further, dealing not only with the technical fallout of a breach but also its business, reputation, and regulatory implications. Echelon used to depend on manual teams of people sorting through logs, cross-correlating alarms, and generating responses, a paradigm effective for small numbers but quickly inadequate in today's threat climate. Today's opponents attack at machine speed, employing automation to launch attacks. Under such circumstances, responding with slow, manual methods means delay and draconian consequences. The AI and automation introduction is a paradigm change that allows organisations to equate the pace and precision with which attackers initiate attacks in responding to incidents.

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How Automation Reinvents Response

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Cybercrime automation liberates cybercrime analysts from boring and repetitive tasks that consume time. An analyst manually detects potential threats from a list of hundreds each day, while automated systems sift through noise and focus only on genuine threats. Malware can automatically cause infected computers to be disconnected from the network to avoid spreading or may automatically have its suspicious account permissions removed without human intervention. The security orchestration systems move further by introducing playbooks, predefined steps describing how incidents of a certain type (e.g., phishing attempts or malware infections) should be handled. This ensures fast containment while ensuring consistency and minimising human error amid the urgency of dealing with thousands of alerts.

Automation takes care of threat detection, prioritisation, and containment, allowing human analysts to refocus on more complex decision-making. Instead of drowning in the sea of trivial alerts, security teams can now devote their efforts to more strategic areas: threat hunting and longer-term resilience. Automation is a strong tool of defence, cutting response times down from hours to minutes.

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The Intelligence Layer: AI in Action

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If automation provides speed, then AI is what allows the brain to be intelligent and flexible. Working with old and fixed-rule systems, AI-enabled solutions learn from experiences, adapt to changes in threats, and discover hidden patterns of which human analysts themselves would be unaware. For instance, machine learning algorithms identify normal behaviour on a corporate network and raise alerts on any anomalies that could indicate an insider attack or an advanced persistent threat. Similarly, AI systems sift through global threat intelligence to predict likely attack vectors so organisations can have their vulnerabilities fixed before they are exploited.

AI also boosts forensic analysis. Instead of searching forever for clues, analysts let AI-driven systems trace back to the origin of an event, identify vulnerabilities exploited by attackers, and flag systems that are still under attack. During a crisis, AI is a decision support that predicts outcomes of different scenarios and recommends the best response. In response to a ransomware attack, for example, based on context, AI might advise separating a single network segment or restoring from backup or alerting law enforcement. 

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Real-World Applications and Case Studies

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Already, this mitigation has been provided in the form of real-world applications of automation and AI. Consider, for example, IBM Watson for Cybersecurity, which has been applied in analysing unstructured threat intelligence and providing analysts with actionable results in minutes, rather than days. Like this, systems driven by AI in DARPA's Cyber Grand Challenge demonstrated the ability to automatically identify an instant vulnerability, patch it, and reveal the potential of a self-healing system. AI-powered fraud detection systems stop suspicious transactions in the middle of their execution and work all night to prevent losses. What is common in all these examples is that automation and AI lessen human effort, increase accuracy, and in the event of a cyberattack, buy precious time.

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Challenges and Limitations

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While promising, the technology is still not fully mature. The quality of an AI system is highly dependent on the training data provided; poor training can generate false positives that drown teams or worse false negatives that allow attackers to proceed unabated. Attackers have also started targeting AI itself by poisoning datasets or designing malware that does not get detected. Aside from risks that are more technical, the operational and financial costs involved in implementing advanced AI-based systems present expensive threats to any company. Organisations will have to make expenditures not only on technology but also for the training of staff to best utilise these tools. There are some ethical and privacy issues to consider as well because systems may be processing sensitive personal data, so global data protection laws such as the GDPR or India's DPDP Act could come into conflict.

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Creating a Human-AI Collaboration

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The future is not going to be one of substitution by machines but of creating human-AI synergy. Automation can do the drudgery, AI can provide smarts, and human professionals can use judgment, imagination, and ethical decisions. One would want to build AI-fuelled Security Operations Centres where technology and human experts work in tandem. Continuous training must be provided to AI models to reduce false alarms and make them most resistant against adversarial attacks. Regular conduct of crisis drills that combine AI tools and human teams can ensure preparedness for real-time events. Likewise, it is worth integrating ethical AI guidelines into security frameworks to ensure a stronger defence while respecting privacy and regulatory compliance.

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Conclusion

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Cyber-attacks are an eventuality in this modern time, but the actual impact need not be so harsh. The organisations can maintain the programmatic method of integrating automation and AI into incident response and crisis management so that the response against the very threat can be shifted from reactive firefighting to proactive resilience. Automation gives speed and efficiency while AI gives intelligence and foresight, hence putting the defenders on par and possibly exceeding the speed and sophistication of the attackers. But an utmost system without human inquisitiveness, ethical reasoning, and strategic foresight would remain imperfect. The best defence is in that human-machine relationship symbiotic system wherein automation and AI take care of how fast and how many cyber threats come in, whereas human intellect ensures that every response is aligned with larger organizational goals. This synergy is where cybersecurity resiliency will reside in the future-the defenders won't just be reacting to emergencies but will rather be driving the way.

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References

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• https://www.sisainfosec.com/blogs/incident-response-automation/
• https://stratpilot.ai/role-of-ai-in-crisis-management-and-its-critical-importance/
• https://www.juvare.com/integrating-artificial-intelligence-into-crisis-management/
• https://www.motadata.com/blog/role-of-automation-in-incident-management/

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