Datakommunikation og computernetværk

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool--a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg. With this book, you'll learn: The architecture of Apache Iceberg tables What happens under the hood when you perform operations on Iceberg tables How to further optimize Iceberg tables for maximum performance How to use Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.

If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web.Part I focuses on web scraping mechanics: using Python to request information from a web server, performing basic handling of the servers response, and interacting with sites in an automated fashion. Part II explores a variety of more specific tools and applications to fit any web scraping scenario youre likely to encounter.Parse complicated HTML pagesDevelop crawlers with the Scrapy frameworkLearn methods to store data you scrapeRead and extract data from documentsClean and normalize badly formatted dataRead and write natural languagesCrawl through forms and loginsScrape JavaScript and crawl through APIsUse and write image-to-text softwareAvoid scraping traps and bot blockersUse scrapers to test your website

The Cloud Secure Model for Medical Data in Healthcare is a cutting-edge solution designed to address the challenges of storing, managing, and safeguarding sensitive medical information in cloud environments. This model employs a multi-layered approach to ensure the confidentiality, integrity, and availability of patient data while adhering to stringent regulatory requirements like HIPAA.At its core, the model leverages robust encryption mechanisms to secure data at rest and in transit, rendering it unreadable to unauthorized users. Access controls and identity management protocols are meticulously implemented to restrict data access to authorized personnel only. User authentication is fortified through multi-factor authentication (MFA) to prevent unauthorized entry.To maintain data integrity, the model employs digital signatures and hashing techniques, making it possible to detect any unauthorized alterations to medical records. Additionally, the model integrates continuous monitoring and intrusion detection systems that promptly identify and respond to any suspicious activities within the cloud environment.The Cloud Secure Model also encompasses comprehensive data backup and disaster recovery strategies to ensure the availability of medical data even in the face of unexpected outages or disasters. Regular security audits, vulnerability assessments, and penetration testing are carried out to identify and rectify potential vulnerabilities proactively.The Cloud Secure Model for Medical Data in Healthcare redefines the storage and management of medical information by combining advanced encryption, access controls, data integrity measures, and continuous monitoring. This ensures that patient data remains confidential, unaltered, and accessible only to authorized individuals, ultimately enhancing the overall quality of healthcare services while upholding the highest standards of data security and privacy.

Transportation typically entails crucial "e;life-death"e; choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence.Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment.The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.

Nicht nur im privaten Umfeld, auch im beruflichen sind Computer, Smartphones und das Internet Begleiter unseres täglichen Lebens. Dabei spielt der Schutz von Informationen eine wichtige Rolle. Über 70% aller Cyber-Angriffe zielen auf den Nutzer ab, lediglich ein kleiner Teil auf die tatsächlichen Systeme. Daher sind geschulte und aufmerksame Mitarbeiter ein unabdingbarer Bestandteil der allgemeinen Sicherheitsstrategie zum Schutz der Informationen. Das Ziel ist dabei der Aufbau einer Kultur der Cyber-Sicherheit, einer sogenannten human firewall.

Manage and maintain your SAP S/4HANA system! Understand the architecture of the ABAP platform, from its technical requirements to your options for configuration. Set up the system landscape, administer the client and database, and maintain your instances. Put proper security in place using authorizations, user profiles, encryption, and more. From archiving to virtual systems, this is the A-to-Z guide you need to perform all essential administration tasks in SAP S/4HANA.Highlights include:1) ABAP platform2) System landscape3) Clients4) Instances5) Users and authorizations6) Security7) Monitoring8) Performance tuning9) Database administration10) Data archiving and transfer11) Frontend components

Discover various cloud services alongside modern software development practices and tools with the guidance of two industry leaders in DevOpsPurchase of the print or Kindle book includes a free PDF eBookKey Features:Modernize continuous delivery in the cloud with strategic goals and objectivesMaster continuous delivery with the right tools, applications, and use casesPerform multi-cluster and multi-cloud deployments efficientlyBook Description:Many organizations are embracing cloud technology to remain competitive, but implementing and adopting development processes while modernizing a cloud-based ecosystem can be challenging.Strategizing Continuous Delivery in Cloud helps you modernize continuous delivery and achieve infrastructure-application convergence in the cloud. You'll learn the differences between cloud-based and traditional delivery approaches and develop a tailored strategy. You'll discover how to secure your cloud delivery environment, ensure software security, run different test types, and test in the pre-production and production stages.You'll also get to grips with the prerequisites for onboarding cloud-based continuous delivery for organizational and technical aspects. Then, you'll explore key aspects of readiness to overcome core challenges in your cloud journey, including GitOps, progressive delivery controllers, feature flagging, differences between cloud-based and traditional tools, and implementing cloud chaos engineering.By the end of this book, you'll be well-equipped to select the right cloud environment and technologies for CD and be able to explore techniques for implementing CD in the cloud.What You Will Learn:Uncover the foundation for modernizing continuous delivery and prepare for continuous delivery in cloudBuild fast, efficient, secure, and interoperable software for real-world resultsUnderstand end-to-end continuous delivery for multi-cloud, hybrid, and on-premiseSet up and scale continuous delivery in the cloud for maximum returnImplement cost optimization for continuous delivery in the cloudDiscover trends and advancements in CD with cloud-native technologiesWho this book is for:This book is for developers, site reliability engineers, DevOps architects, and engineers looking to strategize, plan, and implement continuous delivery in the cloud. You must have a basic understanding of CI/CD concepts and be familiar with cloud ecosystem, DevOps, or CI/CD pipelines.

This is the story of one middle-aged woman in a cardigan determined to understand this growing phenomenon. No other woman has had so many online romances -- from Keanu Reeves to Brad Pitt to Prince William -- and Becky Holmes is a favourite among peacekeeping soldiers and oil rig workers who desperately need iTunes vouchers. By winding up scammers and investigating the truth behind their profiles, Becky shines a revealing, revolting and hilarious light on a very shady corner of the internet. Featuring first-hand accounts of victims, examples of scripts used by fraudsters, a look into the psychology of fraud and of course plenty of Becky's hysterical interactions with scammers, this is a must-read for anyone who needs a reminder that Keanu Reeves is NOT in love with them.

Learn how to deploy information assurance risk management strategies that align with the National Institute of Standards and Technology¿s recommendations. This book will show you how to implement information assurance risk management strategies within your organization. Aimed at system administrators and cybersecurity practitioners, author Bradley Fowler first walks you through how to assess known risks in your organization, understand why using a risk mitigation security strategy control profile is essential, and how to create one for your organization. You will then learn how to develop a risk factor table, outlining descriptions for each risk factor within your organization and which software applications yoüll need to rely on for daily business communication and operations. You will also see how to assess and categorize the level of risk within each technology tool, as well as the impact of an information security breach on the organization. As you progress through the book, you'll review privacy issues relating to your organization, develop and manage a privacy compliance risk profile, and develop and manage a privacy compliance control profile. Additionally, you will gain insight into creating a privacy compliance risk mitigation strategy that helps protect your organization even as security threats evolve. Take the first step to safeguarding your company¿s highly valuable information assets today! What You'll LearnUnderstand what information assurance is and how it relates to risk management strategiesAssess, develop, implement, and manage risk management strategies for corporate information systems, technology, and cloud environmentsDevelop and utilize information usage profiles and risk factor tablesUnderstand the value of data encryption and usage of private and public key exchange for information assurance and security Who This Book Is ForInformation system and cloud architects responsible for developing, implementing, and managing corporate information systems and cloud environments.

In an era driven by technological advancements, cloud computing has emerged as a transformative force, revolutionizing the way individuals, businesses, and organizations operate. This book, "Cloud Computing: Harnessing the Power of the Digital Skies," aims to provide a comprehensive guide to understanding and leveraging the potential of cloud computing. Whether you are a curious reader, an aspiring cloud professional, or an industry veteran seeking to deepen your knowledge, this book will equip you with the necessary tools and insights to navigate the cloud landscape confidently.Chapters included:Chapter 1: The Cloud Computing ParadigmChapter 2: Cloud Service ModelsChapter 3: Cloud Deployment ModelsChapter 4: Cloud Architecture and DesignChapter 5: Cloud Security and PrivacyChapter 6: Cloud Storage and DatabasesChapter 7: Cloud Networking and ConnectivityChapter 8: Cloud Migration and ManagementChapter 9: Emerging Trends in Cloud ComputingChapter 10: The Future of Cloud Computing

Align your operating model with your organization's goals and enable leadership, culture, engineering, and operations to tame the complexities of the distributed futurePurchase of the print or Kindle book includes a free PDF eBookKey Features:Get hands-on with creating your operating model across on-premises, cloud, and edgeLearn how to group, construct, and scope operating model dimensionsTackle operating model complexities like architecture, stakeholder management, platform operations, compliance, security, and technology selectionBook Description:Cloud goals, such as faster time to market, lower total cost of ownership (TCO), capex reduction, self-service enablement, and complexity reduction are important, but organizations often struggle to achieve the desired outcomes. With edge computing gaining momentum across industries and making it possible to move workloads seamlessly between cloud and edge locations, organizations need working recipes to find ways of extracting the most value out of their cloud and edge estate.This book provides a practical way to build a strategy-aligned operating model while considering various related factors such as culture, leadership, team structures, metrics, intrinsic motivators, team incentives, tenant experience, platform engineering, operations, open source, and technology choices. Throughout the chapters, you'll discover how single, hybrid, or multicloud architectures, security models, automation, application development, workload deployments, and application modernization can be reutilized for edge workloads to help you build a secure yet flexible technology operating model. The book also includes a case study which will walk you through the operating model build process in a step-by-step way.By the end of this book, you'll be able to build your own fit-for-purpose distributed technology operating model for your organization in an open culture way.What You Will Learn:Get a holistic view of technology operating models and linked organization goals, strategy, and teamsOvercome challenges of extending tech operating models to distributed cloud and edge environmentsDiscover key architectural considerations in building operating modelsExplore the benefits of using enterprise-ready open-source productsUnderstand how open hybrid cloud and modern dev and ops practices improve outcomesWho this book is for:If you are a cloud architect, solutions architect, DevSecOps or platform engineering manager, CTO, CIO, or IT decision maker tasked with leading cloud and edge computing initiatives, creating architectures and enterprise capability models, aligning budgets, or showing your board the value of your technology investments, then this book is for you. Prior knowledge of cloud computing, application development, and edge computing concepts will help you get the most out of this book.

Explore the world of Kubernetes and learn the concepts needed to develop, deploy, and manage applications on this container orchestrator. This step-by-step development guide is designed for application developers and support members aiming to learn Kubernetes and/or prepare for interviews. All the concepts in the book are presented in Q&A format, with questions framed exactly the way they are asked in an interview, giving you a distinctive edge in interviews.Yoüll start by understanding how application development and deployment have evolved over the decades leading up to containerization. Yoüll then dive deep into core Kubernetes concepts, learning Kubernetes architecture, Kubernetes objects and workload resources, and how to exploit them to their full potential. Yoüll also learn Kubernetes deployment strategies and concepts related to rollout and rollback.Moving on, yoüll look at two very important aspects of any computing ecosystem: networking and storage. You will gain an understanding of access control in Kubernetes and how to manage a Kubernetes cluster using probes, resource quotas, taints, and tolerations. You will also get an overview of Docker and review Docker and Kubernetes best practices. Finally, you will learn about the kubectl command line tool.What You Will LearnLearn about basic and advanced Kubernetes objects and workload resourcesMaster important concepts such as namespaces, selectors, annotations, and access controlUnderstand the Kubernetes networking and storage systemManage a Kubernetes cluster with the help of probes, resource quotas, limits, and taintsWho This Book Is For Application developers and technical managers¿both on the development and support sides, beginner and intermediate Kubernetes practitioners and aspirants, and those preparing for Kubernetes interviews.

This book constitutes the proceedings of the 17th IFIP WG 11.12 International Symposium on Human Aspects of Information Security and Assurance, HAISA 2023, held in Kent, United Kingdom, in July 2023. The 37 full papers presented in this volume were carefully reviewed and selected from 54 submissions. They are organized in the following topical sections: education and training; management, policy and skills; evolving threats and attacks; social-technical factors; and research methods.

This book is a collection of selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023), held at South Asian University, New Delhi, India, during 22¿23 April 2023. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

The "End-to-End Security Scheme for Machine Type Communication (MTC) in LTE Network" presents a comprehensive and robust approach to address the unique security challenges faced by MTC in the context of Long-Term Evolution (LTE) networks. As the world moves towards a more interconnected and automated future, MTC, also known as M2M (Machine-to-Machine) communication, has become increasingly prevalent in various industries, ranging from smart cities to industrial automation and healthcare.The scheme emphasizes the need for airtight security measures to ensure the integrity, confidentiality, and authenticity of data exchanged between machines without direct human intervention. One of the primary concerns with MTC is the potential exposure to cyber threats, as countless devices and sensors become part of the vast network ecosystem. Thus, a meticulous end-to-end security strategy becomes imperative to safeguard the entire communication chain.The proposed scheme incorporates several key security components. Encryption algorithms are implemented to protect the data during transmission, making it virtually indecipherable to unauthorized entities. Robust authentication protocols ensure that only trusted devices and servers are allowed to access critical information, thereby mitigating the risk of unauthorized access and malicious attacks.Furthermore, secure key management techniques are employed to generate, distribute, and revoke encryption keys efficiently. This process bolsters the overall security posture by maintaining strict control over the cryptographic keys, preventing unauthorized users from gaining access to sensitive data.Moreover, the scheme promotes continuous monitoring and threat analysis to identify and address potential vulnerabilities proactively. By staying vigilant and adaptable, network administrators can respond swiftly to emerging threats, thereby safeguarding the LTE-MTC ecosystem.In conclusion, the "End-to-End Security Scheme for Machine Type Communication in LTE Network" offers a comprehensive and cutting-edge approach to secure MTC in LTE networks. By implementing strong encryption, authentication, and key management mechanisms while maintaining proactive monitoring, this scheme ensures that the potential of MTC can be fully harnessed without compromising the privacy and security of data in our increasingly connected world.

The AI Revolution is Here. Discover its Dynamic Applications in Networking, Cybersecurity, and More.   AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key domains of computer networking, cybersecurity, IoT, and cloud computing. The AI Revolution in Networking, Cybersecurity, and Emerging Technologies will give you the edge you need to harness AI for your benefit. Learn how AI can efficiently identify shadow data, fortify security measures, generate predictive analytics in real time, and so much more.   In this comprehensive guide, Cisco professionals Omar Santos, Samer Salam, and Hazim Dahir engage you in both AI application and theory through practical case studies and predictions of future trends, which makes this book not just a valuable guide for today, but an indispensable resource for tomorrow.   You'll discover how AI is building robust bridges in collaboration tools and turning IoT into a super-intelligent network of devices so you can quickly identify and resolve network security threats while enhancing network performance. This book will show you how AI can help you modernize and fortify your operations and make yourself a key asset to your company.   Are you ready to join The AI Revolution in Networking, Cybersecurity, and Emerging Technologies?   Gain industry-specific knowledge from experienced professionals Discover new capabilities like self-healing networks and predictive analytics Learn how AI can save time by detecting and correcting issues in real time Master techniques for security monitoring and alerting Understand potential security and privacy pitfalls of using AI, and how to guard against them Understand how AI works for you and with you   Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

The continuous evolution and widespread application of communication technology, network technology and computing technology have promoted the intelligent interconnection of all things and ubiquitous sharing of information. The cross-border, cross-system, and cross-ecosystem exchange of user data has become commonplace. At the same time, difficulties in the prevention of private information abuse and lack of protection methods have become global problems. As such, there is an urgent need to intensify basic theoretical research in this field to support the protection of personal information in a ubiquitously interconnected environment.The authors of this book proposed the concept, definition and research scope of privacy computing for the first time in 2015. This book represents their original and innovative scientific research achievement dedicated to privacy computing research, and systematically explains the basic theory and technology involved. It introduces readers to the connection between personal information and privacy protection, defines privacy protection and privacy desensitization, clarifies and summarizes the limitations of existing privacy-preserving technologies in practical information system applications, analyzes the necessity of conducting privacy computing research, and proposes the concept, definition and research scope of privacy computing. It comprehensively expounds the theoretical system of privacy computing and some privacy-preserving algorithms based on the idea of privacy computing. In closing, it outlines future research directions.

This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.

This book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2022), held at Hanoi in Vietnam. It includes peer reviewed high quality articles on Intelligent System and Networks. It brings together professionals and researchers in the area and presents a platform for exchange of ideas and to foster future collaboration. The topics covered in this book include- Foundations of Computer Science; Computational Intelligence Language and speech processing; Software Engineering Software development methods; Wireless Communications Signal Processing for Communications; Electronics track IoT and Sensor Systems Embedded Systems; etc.

"In this report, the authors use 11 case studies to create a typology of the barriers that impede U.S. security cooperation with highly capable allies and partners; identify some of the more specific barriers in the air, space, and cyber domains; suggest mitigation strategies for each of these barriers; and propose a preliminary approach for implementing some of these mitigation strategies"--

Master Azure Well-Architected Framework and improve your optimization skills by enhancing the quality of your workloadsPurchase of the print or Kindle book includes a free PDF eBookKey Features:Learn Well-Architected Framework from a cloud solution architect and an official Microsoft trainerOptimize your workloads in Azure by following Microsoft recommended best practicesUse reference architecture and Microsoft tests to conduct Well-Architected Framework (WAF) assessmentBook Description:It's easy to learn and deploy resources in Microsoft Azure, without worrying about resource optimization. However, for production or mission critical workloads, it's crucial that you follow best practices for resource deployment to attain security, reliability, operational excellence and performance. Apart from these aspects, you need to account for cost considerations, as it's the leading reason for almost every organization's cloud transformation.In this book, you'll learn to leverage Microsoft Well-Architected Framework to optimize your workloads in Azure. This Framework is a set of recommended practices developed by Microsoft based on five aligned pillars; cost optimization, performance, reliability, operational excellence, and security. You'll explore each of these pillars and discover how to perform an assessment to determine the quality of your existing workloads. Through the book, you'll uncover different design patterns and procedures related to each of the Well-Architected Framework pillars.By the end of this book, you'll be well-equipped to collect and assess data from an Azure environment and perform the necessary upturn of your Azure workloads.What You Will Learn:Dive deep into the Azure Well-Architected FrameworkExplore the differences between Cloud Adoption Framework and Well-Architected FrameworkUnderstand the pillars of the Well-Architected FrameworkDiscover varied techniques to improve the cost profile of your workloadOptimize your workflows using Azure Advisor and its scorePlan and prioritize the implementation of security recommendations from WAF assessmentsWho this book is for:This book is for developers, cloud solution architects, cloud administrators, and professionals experienced in design, implementation, and management of Azure resources. Professionals looking to learn cloud optimization or switch to a new role related to architecture can benefit from this book. An intermediate level understanding of the Microsoft Azure platform and services is a must. Experience in implementing or designing solutions in Azure is a plus but not mandatory.

Conduct impact measurement and outcomes evaluation, with a specific focus on nonprofits, using Salesforce Nonprofit Cloud (aka Salesforce for Nonprofits). As funding grows more challenging for nonprofits, having a robust technology system in place allows nonprofits to better seek out funding and receive more when they do. Readers of this book will be better positioned to ensure the long-term success of their organization and make maximum use of their technology.The book begins with an introduction to Salesforce and to Nonprofit Cloud for users who may be new to the platform. Next, you will learn the fundamentals of impact measurement and outcomes evaluation. You will understand why these are important and discover several frameworks that can be used to select outcomes that make sense for your organization to prove that its work is successful. These frameworks include Social Return on Investment (SROI), Cost-Benefit Analysis (CBA), and Pre and Post Comparison (and others).You will use your chosen framework to develop a logic model or theory of change which demonstrates how the work that nonprofits do translates into the outputs and outcomes that clients experience and that nonprofits seek funding to deliver. After covering the theory, author Dustin MacDonald teaches you how to translate the framework you chose into Salesforce. You will learn how to create reports, dashboards, formula fields, roll up summaries, and other basic Salesforce tools in order to collect the information you need to validate your framework.This book also demonstrates how to report on the outcomes you have achieved, tweak results to improve performance, and see the entire end-to-end experience in practice through a set of case studies. The book concludes with a discussion of advanced tools and techniques available inside Salesforce, such as Einstein Prediction Builder, as well as information on how you can immediately apply what you have learned to your own organization.What You Will LearnUnderstand how to use Nonprofit Cloud to collect and analyze dataKnow how to create a theory of change that shows your impactBecome adept at working with impact measurement frameworksBuild everything you need in Salesforce without writing a single line of codeTurn your insights into new funding to keep your organization strongWho This Book Is ForSalesforce administrators, nonprofit staff members, and others working at nonprofits who are required to conduct impact measurement and outcomes evaluation. Additionally, business analysts and technical architects who are designing and implementing solutions for nonprofits at implementation partners will benefit from this book.

As the use of Software Defined Networking (SDN) becomes increasingly prevalent, securing these dynamic and programmable network architectures becomes paramount. The "Design of Intrusion Detection System for Software Defined Networking Using Machine Learning Algorithms" offers a groundbreaking solution to safeguard SDN environments against potential threats and attacks.This innovative Intrusion Detection System (IDS) leverages the power of machine learning algorithms to continuously monitor and analyze network traffic, behavioral patterns, and anomalies in real-time. By learning from historical data and network behaviors, the system can accurately identify deviations and malicious activities, enabling swift responses to potential intrusions.The integration of machine learning algorithms empowers the IDS to adapt to evolving threats, ensuring a proactive defense strategy and reducing the risk of false positives. As a result, network administrators can stay one step ahead of attackers and protect critical data and resources effectively.The application of this cutting-edge technology in SDN environments not only enhances security but also optimizes network performance. By swiftly detecting and mitigating threats, the IDS contributes to uninterrupted and seamless network operations, maintaining the integrity and availability of services.Furthermore, the design's scalability ensures its effectiveness across various SDN architectures and environments, making it a versatile and future-proof solution for businesses and organizations with diverse networking infrastructures.the "Design of Intrusion Detection System for Software Defined Networking Using Machine Learning Algorithms" represents a significant advancement in network security. By harnessing the capabilities of machine learning, this IDS enables intelligent, efficient, and reliable protection against potential intrusions, bolstering the trust and resilience of Software Defined Networks in the face of ever-evolving cyber threats.