Designing Cybersecurity Measures for Enterprise Software Applications to Protect Data Integrity

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 1920 - 1941

Опубликована: Авг. 23, 2024

In an era of escalating cyber threats, safeguarding data integrity in enterprise software applications is critical for maintaining trust and operational stability. Designing robust cybersecurity measures essential to protect sensitive information from unauthorized access, alteration, loss. This review explores key strategies methodologies developing comprehensive frameworks tailored applications. Effective begins with a thorough risk assessment identify potential vulnerabilities threats specific the enterprise's environment. Implementing multilayered security measures, including encryption, access controls, authentication protocols, vital mitigating risks. Encryption protects transit at rest, ensuring that even if intercepted, remains unintelligible parties. Access controls mechanisms, such as multifactor (MFA), enhance by verifying identity users restricting based on roles permissions. Regular audits vulnerability assessments play crucial role detecting addressing weaknesses. These should be conducted both internally externally provide view posture. Additionally, adopting secure coding practices integrating into development lifecycle (SDLC) help identifying during phase. Incident response planning another aspect cybersecurity. Developing well-defined incident plan ensures can quickly effectively address breaches, minimizing damage restoring integrity. includes establishing protocols detecting, responding to, recovering incidents. Educating training employees about best Employees aware common phishing social engineering attacks, understand their enterprise’s data. conclusion, designing effective requires multifaceted approach assessment, regular audits, practices, planning, employee training. By implementing these strategies, enterprises defenses, integrity, ensure resilience against evolving threats. Keywords: Designing, Cybersecurity, Data Integrity, Software Applications, Enterprise.

Язык: Английский

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Genomic synergy in food traceability: Enhancing global food safety and security

Ecological Genetics and Genomics, Год журнала: 2025, Номер 34, С. 100324 - 100324

Опубликована: Янв. 5, 2025

Язык: Английский

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Unraveling the Resistome, Virulome, and Pathogenicity of Escherichia Coli O157:H7 From Cattle Feces

International Journal of Microbiology, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

Antimicrobial‐resistant Escherichia coli , especially those belonging to the serotype O157, are increasingly linked foodborne diseases with significant fatality rates worldwide. The food and medical industries have focused on E. O157:H7 due its ability produce toxins coupled low infectious dose. aim of this study was assess virulome, resistome, pathogenicity using whole genome sequencing. Three previously isolated strains from cattle feces were subjected sizes all three 5,117,276 bp, 5,039,443 5,034,351 bp. C + G contents 50.22%, 50.53%, 50.54%, while number contigs 110, 43, 42, respectively, for J32, J57, J69. Several virulence determinants (hemorrhagic pilus (HCP), eaeA, hemolysin, etc.) found in genomes these isolates. In addition, antibiotic resistance genes conferring aminoglycosides, tetracyclines, macrolides, fluoroquinolones, penams, carbapenems, cephalosporins, cephamycin, rifamycin, phenicols, monobactams, nitroimidazole genomes. Interestingly, isolates also harbored encoding disinfectants antiseptics, indicating their concern production sectors. This highlights public health concerns isolates, need constant surveillance.

Язык: Английский

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Enhancing software development practices with AI insights in high-tech companies

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 1897 - 1919

Опубликована: Авг. 23, 2024

Artificial Intelligence (AI) is revolutionizing software development practices in high-tech companies, providing transformative insights and tools that enhance productivity, quality, efficiency. This review explores the integration of AI into processes, highlighting its impact on key areas such as code generation, bug detection, project management, testing. AI-driven are enabling developers to automate repetitive tasks, optimize code, identify potential issues before they become critical, thus reducing time improving reliability. Machine learning algorithms analyze vast amounts data from past projects provide predictive analytics, guiding teams decision-making resource allocation. Natural language processing (NLP) facilitates more intuitive interactions with tools, streamlining communication collaboration among team members. Furthermore, enhances continuous deployment (CI/CD) pipelines by automating testing stages, ensuring changes seamlessly integrated deployed minimal human intervention. By leveraging AI, companies can adopt agile methodologies, respond swiftly market changes, deliver high-quality products. The also discusses challenges integrating development, including need for substantial initial investment, complexity models, importance privacy security. Solutions fostering a culture learning, investing AI-specific training developers, establishing robust governance frameworks essential overcoming these barriers. In conclusion, offer significant advantages them their practices, achieve greater efficiency, maintain competitive edge rapidly evolving technological landscape. Embracing advancements requires strategic approach, investment technologies training, fully harness drive innovation development. Keywords: Software Development, High-Tech, Practices, Companies.

Язык: Английский

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From supplements to superbugs: how probiotic patent gaps drive antimicrobial resistance and the CRISPR-Cas solutions

Pharmaceutical Patent Analyst, Год журнала: 2025, Номер unknown, С. 1 - 3

Опубликована: Фев. 5, 2025

Язык: Английский

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Frontiers in superbug management: innovating approaches to combat antimicrobial resistance

Archives of Microbiology, Год журнала: 2025, Номер 207(3)

Опубликована: Фев. 14, 2025

Язык: Английский

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Current strategies against multidrug-resistant Staphylococcus aureus and advances toward future therapy

The Microbe, Год журнала: 2025, Номер unknown, С. 100281 - 100281

Опубликована: Фев. 1, 2025

Язык: Английский

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Methodologies for developing scalable software frameworks that support growing business needs

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(8), С. 2661 - 2683

Опубликована: Авг. 21, 2024

Developing scalable software frameworks is critical for businesses looking to support growth and adapt changing demands. This review explores methodologies creating robust, architectures that can handle increasing workloads evolving business requirements. It highlights key principles, such as modularity, flexibility, performance optimization, which are essential design. Central this discussion the use of microservices architecture, breaks down applications into smaller, independent services be developed, deployed, scaled independently. approach enables respond quickly market changes scale specific parts their systems without affecting entire application. Additionally, cloud computing plays a pivotal role in scalability, providing necessary infrastructure dynamically allocate resources based on demand. Leveraging cloudnative technologies like containers orchestration tools Kubernetes ensures efficiently managed diverse environments. Another methodology adoption DevOps practices, foster culture collaboration between development operations teams. Continuous integration continuous deployment (CI/CD) pipelines automate delivery process, allowing faster releases more reliable updates. reduces downtime new features improvements implemented meet needs. Data management strategies also contribute scalability. Implementing distributed databases using NoSQL large volumes data provide high availability fault tolerance. Effective caching mechanisms load balancing further enhances system responsiveness. Monitoring analytics maintaining Tools realtime insights user behavior enable proactive optimization. allows identify potential bottlenecks preemptively. In conclusion, developing requires combination architectural modern technologies, best practices. By embracing microservices, computing, DevOps, effective management, robust monitoring, create solutions future challenges. Investing these remain resilient, responsive, capable meeting needs business. Keywords: Support, Business Needs, Methodologies, Scalable Software, Framework.

Язык: Английский

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Assessing the transformative impact of cloud computing on software deployment and management

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 2062 - 2082

Опубликована: Авг. 31, 2024

Cloud computing has fundamentally transformed the landscape of software deployment and management, offering significant benefits reshaping traditional approaches. This review explores transformative impact cloud on these domains, highlighting key changes advantages. Firstly, revolutionized by introducing scalable flexible infrastructure solutions. Unlike onpremises systems that require upfront investment ongoing maintenance, platforms offer ondemand resources payasyougo models. shift enables organizations to deploy rapidly, adapt changing needs, scale efficiently without constraints physical hardware. Additionally, enhances management through centralized control automation. environments provide integrated tools streamline deployment, monitoring, maintenance applications. These facilitate automated updates, patch system backups, reducing burden IT teams minimizing downtime. Furthermore, cloudbased realtime visibility analytics, allowing for proactive performance monitoring troubleshooting. The collaborative nature also fosters improved development practices. support DevOps methodologies enabling continuous integration delivery (CI/CD) pipelines. accelerates cycles, collaboration among distributed teams, ensures consistent reliable deployments. Moreover, cloud's global reach accessibility break down geographical barriers, across multiple regions effortlessly. geographic flexibility user experience high availability performance, regardless user's location. Despite advancements, transition presents challenges, including data security compliance concerns. Organizations must implement robust measures adhere regulatory requirements protect sensitive information maintain trust. In conclusion, had a profound scalable, flexible, efficient Its effects include streamlined operations, collaboration, accessibility. As technology continues evolve, navigate associated challenges while leveraging its drive innovation efficiency in management. Keywords: Management, Impact, Computing, Software Deployment, Assessing

Язык: Английский

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Leveraging big data to inform strategic decision making in software development

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(8), С. 1848 - 1867

Опубликована: Авг. 21, 2024

The rapid advancement of technology has led to an explosion big data, which presents a wealth opportunities for informing strategic decision-making in software development. This review explores how leveraging data can transform the development process by enhancing at various stages. Big analytics provides insights into user behavior, preferences, and trends, enabling developers create more user-centric products. By analyzing large datasets, identify patterns predict future needs, ensuring that solutions are not only relevant but also innovative. In planning phase, helps understanding market demands competition, allowing better resource allocation project prioritization. During development, real-time guide optimization code, enhance performance testing, improve quality assurance processes. Post-deployment, facilitates continuous improvement through detailed analysis feedback usage patterns, leading timely updates feature enhancements. Furthermore, plays crucial role risk management identifying potential issues before they escalate, thus mitigating failures. Predictive analytics, powered forecast challenges provide actionable address them proactively. reduces downtime enhances reliability Strategic benefits from integration with artificial intelligence machine learning algorithms. These technologies automate repetitive tasks, intelligent recommendations, personalize experiences, making efficient effective. However, comes challenges, such as privacy security, managing sheer volume maintaining quality. Addressing these requires robust governance frameworks adherence ethical standards. conclusion, processes holds significant promise. It empowers efficient, reliable, solutions, ultimately driving innovation competitive advantage rapidly evolving tech landscape. evolution tools techniques will further their impact on Keywords: Leveraging, Data, Decision making, Software Development, Inform.

Язык: Английский

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