Hello everyone. My name is Achin Var. I'm a senior software engineer passionate about building secure and scalable distributed system. It's truly an honor to be here at Con 42 and sharing my insight into how we can architect and secure healthcare system that go far beyond regulatory compliances. Today, I will walk you through guidelines and best practices that can help design a system which not only secure sensitive patient data, but also significantly improve operational resilience, efficiency, and patient trust. So the topic name is how to Architect or Architecting Secure Distributed Healthcare System which focuses on providing a. Blueprint for building systems that not only meet regulatory requirements like hipaa, but also enhances realtime security operational availability and patient satisfaction while securing or preparing for the future stability. This is a slide which, sets the foundation for what modern secular healthcare system should aim to achieve. It is about more than about just protecting patient data. It is about ensuring systems that should be responsive, proactive, and resilient in order to maintain the highest standard for the patient care. So in that, the first point I want to highlight is advanced security framework. So it is recommended to establish an advanced security framework that can reduce unauthorized access incidents up to around 90 point 99.89% multilayered, and the system should have multi-layered authentication protocols should be employed to validate access request thoroughly. So all these numbers I'm going to talk are are retrieved from the papers, which are already published my studies and existing implementation. The second point I have here is that critical data accessibility. So in emergency healthcare scenarios designing the system to enable sub two seconds data travel can be lifesaving. Critical patient data must be made instantly available while preserving its integrity. The third point I want to highlight is protect proactive threat analysis, which is very important while designing subsystem. In the current age, we can incorporate, AI, air powered monitoring system that can significantly enhance anomaly detection by approximately 94.7%. And proactive analysis of such system helps identify potential threats before they escalate or into actual breaches, which are very important to take care of. And the fourth point on is, accelerated incident resolution, the systems should have a setup, which, should be able to handle the incident resolutions as, as quick as possible. It is impossible. It is important to architect security posture that should aim to reduce incident detection and response time. From lengthy periods like 1 67 minutes which is this number is taken from the existing research paper and to down, as in as 12.3 minutes. Ensuring threats are neutralized quickly. Going down to the next slide. System architecture, how we should aim to design these systems. So this slide discusses the critical architecture component needed for secure, scalable healthcare system by layering distributed data management, microservices advanced security and efficient user interfaces. So first point there is on how we should design a data layer in the distributed world. We should architect the data layer to orchestrate the encrypted patient data, potentially managing volumes at large as in exa heights with validation rates of 99.997% to ensure the accuracy and protection for both system and patient. The second is how the microservice system or the core of it should be. It is advisable to build microservice based core, capital of handling millions of concurrent API requests and targeting numbers like, in millions while ensuring zero downtime through the inclusion failure mechanism. And the third is how we should, the system should design its security middleware integrate. We should the system should integrate real time behavioral in the middleware to neutralize, the 99% of potential threats and before they penetrate deeper into the healthcare systems. And the third, or of the four point on architecture is that user interface layer, which is very important to have a system resilient. So the system should design the user interface to compliance while delivering the sub two seconds response time, especially for healthcare operations. Going on to the next slides sorry. So these slides explains about how the high availability and safe swift accessibility are non-negotiable in healthcare system. As explained before, it's. The patient life is on stake. So it is very important to have these systems in place. So this slide defines how ambiguous but achievable targets to ensure the system reliability under stress. So first point is about system up up times. The system. We should design the system architecture to achieve finance availability, ensuring uninterrupted access to healthcare service around the clock. And the second on this is that data accessibility. The systems should ensure that, accessibility target is, again, close to five nines, but enabling the clinicians and healthcare staff to re try information quickly, reliably, whenever needed. Or 24 7. And more on the third point on EP, I request this as explained in the system architecture, we should have infrastructure which is optimized to handle, millions of API requests while maintaining sub to second response times, which is, important to guarantee operational efficiency. Moving on to next slide. While designing this system, how we can have a audit mechanism. So this slide maintains, explains about auditing system. Such healthcare system should be, should have some sort of audit trails to meet the compliance standard and ensure traceability. So it outlines how there are multiple ways, but this slide explains how blockchain inspired methods can adapt. To achieve the tamper for auditing. So the first point on auditing is that event recording. So a system should secure every interaction with the system. And within the crypto Go Seal transaction blocks so that it's not leaked or it's not accessible to to people who doesn't have access. And this is to prevent any trampling or unauthorized alteration. A chain validation. So the system should imply distributed consensus mechanism capital of post processing around millions of events to validate authentic authenticity of every transaction, which is again, very important to have this in place. And along with that, the third point we should consider that anomaly detection. The system should build a mechanism that identifies and isolate unauthorized modification within milliseconds. And this is to safeguard the system integrity proactively. And the fourth point is that like about, history of imp impactability, so the, we should preserve a tamper proof. Chronological audit trail that not only supports the regulatory compliance, but also strength strengthens the trust in system data handling and practices. So all these four points are very high level points and very but very important to have our audit system in place. Going on to our next slide. As threat evolves so much healthcare system. And what does this mean? Is that the mechanism which were there in place 10 years ago or 20 years ago are not relevant now. So we should evolve with how the threats are evolving. So this slides highlights how productive security models using AI and machine learning can detect. Neutralize threats before they can damage in the healthcare system. So the first is that processing power which is in current AI world, which is very important. So it is essential to architect system capital of analyzing millions of security events per second, utilizing custom design, machine learning acceleration hardware enables. Rapid intelligent decision making systems. Which are, one of the key to have a predictive security models. And the second on this is that which is extension of smart models, is that edge computing. So we should leverage a strategic edge computing nodes distributed across all healthcare facilities. And this should be real time processing, closer to, source and that will help it make sure that we are drastically shorten the detection times and response actions and while doing those. So it is very important to have accuracy metric, which makes sure that the detections are moderated, rightly the system should have models if we are designing that way, which should target close to 99% of threat detection, accuracy which in this high stake healthcare environment. And while doing that we should, reduce the false rate to a remarkable, close to none or maybe 0.03% which is which outperform the other industry average of 2.3%. And the fourth point is very important on the slide is early detection. So build the system that can identify potential breaches which is based on the history. We should and also this goes hand in hand with audit trail. Within a minutes and we should deploy sophisticated counter measures within 200 milliseconds to neutralize the threat. Going on to the next slide. So when we do or analyze or implement a system, it is very important to analyze how this will impact the patient confident. So security investment aren't just technical or just to satisfy the compliance that directly impact the patient trust and confidence. So this slide basically highlights how security secure architecture influence the patient's satisfaction and their privacy prescription. First on data trust. So healthcare providers should aim to, have patient trust and privacy satisfaction a significant uplift or demonstrate a tangible proof of impact. So this the first point is here we can see that the before implementation and after implementation the data trust and the second bar here, it also explains how. With this system implementation a privacy satisfaction has been increased. Which is again, very important in while architecting such system. And on the same line a security confidence comes into picture. And it based on the studies it's it has been found out that if we have all the systems in place, as explained briefly about. The security confidence also gets increases. Going on to the next slide, we discussed a lot of points and how to architect design what things to consider, what we how we should incorporate AI models, but ultimately it is also very important to, consider the financial impact of such technical implementation. Implementing strong security not only protects the patient, but also delivers clear financial returns. So this slide explains how security investment translate into saving efficiency and risk mitigation. So the first point on that is that annual cost evidence avoidance. By preventing breaches and regulatory penalties, healthcare organization can save approximately 3.2 million annually through proactive security frameworks. So this number is again it could be on north of a hundred million or, 1 million, but ultimately it, it boost ups or avoids the annual cost and boosts up the revenue. And compliance efficiency. So automating regulatory reporting and enhancing security controls can lead to, 97.8 reduction, percent reduction in reportable compliance incidents, and it reduces the audit and penetration of preparation of workloads by 86%. And the third is operational saving. Through AI pod workflow automation organization can boost the efficiency of their security operations team by, more than 50%, but resources, if we have the systems in place, discuss about the 70% 74%, security operat operations can be, lifted up. Yeah. So to, or to summarize on operational saving from a couple of hours, two minutes that is the goal of the systems would be going on to the next slide implementation strategy. Successfully deployment of secure system requires a strategic phased approach. It has to be very well thought out. So this slides provides a blueprint to follow when when implementing Secure Healthcare System and how we can architect it. First, infrastructure assessment. So we should start with a comp comprehensive evaluation of existing systems. To uncover criticalities and operational gaps, we should look at how, what is the current rate of API request we get and that will and how if the load varies based on the season system or season or any particular part of the or month of the year. So that all will help in infrastructure assessment and designing. Or choosing an infrastructure and architectural blueprint. So we should the system should develop a customized security implementation plant tailored to each healthcare facilities or, systems unique environment, ensuring, scalability if in case there is a need of, and the. Third is phase deployment. So implementing security components strategically in phases. It ensures zero disruption and to essentially the patient care services. And also the phase deployment. Make sure that along with the audit trail, we find out the weakness and strongness of our system. So the pha, our deployment in different layers. We can analyze system pretty early and fix it and continuous optimization. Designing system that dynamically evolve by integrating real time threat intelligence and adaptive learnings. It's basically ensures that defenses that are, stay ahead of emerging threats, which is very important. Going on to next start a slide, future selling capabilities. As I mentioned the healthcare system must be prepared for future, must be prepared prepared for future scalability. So this slide describes how to architect or design a system that can withstand tomorrow's challenges, scalability issues including evolution quantum computing threads, and massive data growth, which is very much possible. So advance. First point on that is I advance integration. So architect security system that itself evolve without human intervention. Intervention by integrating AI models is a gold standard, and that way we can make sure that we are, going hand in hand or one step ahead even before the threats are generated. The second is that point is that quantum resistant encryption, so future proof security by adopting cryptographic protocols designed to withstand attacks from quantum computing and ensuring long term resilience issues. And the third is that expanded data capacity. So as explained about during our infrastructure slide we should plan to infra have, infrastructure, capital of managing petabyte of data. So this number 45, 45 0.7 petabytes is the number got from the recent. He one of the biggest healthcare system that receives that much data and yeah. So going on to the next slide which is a key takeaways to conclude these slides, enforce reinforces the holistic approach that is needed to architect secure a scalable healthcare system that are not only compliant, but truly resilient intelligent and future ready. The first point is that security beyond compliance, so build security architecture that exceeds minimum regulatory requirements while driving operational efficiencies. The second is predictive protection. There are multiple ways, but with today's ai driven world we can include or adopt AI driven security models that proactively detects the threats and ensuring protection well before system would react And. Th third point is that proven results. So we should focus on achieving measurable outcomes such as into finance, or close to finance and future ready architecture. So design system that accommo accommodates considers growing data demands evolving threats and new technology all the way through 2027 and beyond. Thank you.