Identity Aware Network in Identity Management Dataset (Publication Date: 2024/01)

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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:



  • Does your organization know in which application or database each data entity is stored or mastered?
  • Why is the P CMM an effective framework for improving the management of people in your organization?
  • Does the network have a strong and recognizable identity and image which raises the awareness of others?


  • Key Features:


    • Comprehensive set of 1597 prioritized Identity Aware Network requirements.
    • Extensive coverage of 168 Identity Aware Network topic scopes.
    • In-depth analysis of 168 Identity Aware Network step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 168 Identity Aware Network case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Identity Controls, Technology Strategies, Identity Data Classification, Identity Intelligence Tool, Data Protection, Federated Identity, Identity Engineering, Identity Privacy Management, Management Systems, Identity Risk, Adaptive Authentication, Identity Risk Assessment, Identity Governance And Risk Management, Identity Governance Process, Healthcare Medical Records, Self Service Identity Management, Identity Lifecycle, Account Takeover Prevention, Identity Trust, AI Practices, Design For Assembly, customer journey stages, Facial Recognition, Identity Monitoring Tool, Identity Governance Policy, Digital Identity Security, Identity Crisis Management, Identity Intelligence Platform, Identity Audit Trail, Data Privacy, Infrastructure Auditing, Identity Threat Detection, Identity Provisioning, Infrastructure Management Virtualization, Identity Federation, Business Process Redesign, Identity As Service Platform, Identity Access Review, Software Applications, Identity Governance And Compliance, Secure Login, Identity Governance Infrastructure, Identity Analytics, Cyber Risk, Identity And Access Management Systems, Authentication Tokens, Self Sovereign Identity, Identity Monitoring, Data Security, Real Time Dashboards, Identity And Data Management, Identity And Risk Management, Two Factor Authentication, Community Events, Worker Management, Identification Systems, Customer Identity Management, Mobile Identity, Online Privacy, Identity Governance, KYC Compliance, Identity Roles, Biometric Authentication, Identity Configuration, Identity Verification, Data Sharing, Recognition Technologies, Overtime Policies, Identity Diversity, Credential Management, Identity Provisioning Tool, Identity Management Platform, Protection Policy, New Product Launches, Digital Verification, Identity Standards, Identity Aware Network, Identity Fraud Detection, Payment Verification, Identity Governance And Administration, Machine Learning Identity, Optimization Methods, Cloud Identity, Identity Verification Services, DevOps, Strong Authentication, Identity And Access Governance, Identity Fraud, Blockchain Identity, Role Management, Access Control, Identity Classification, Next Release, Privileged Access Management, Identity Access Request, Identity Management Tools, Identity Based Security, Single Sign On, DER Aggregation, Change And Release Management, User Authentication, Identity And Access Management Tools, Authentication Framework, Identity Monitoring System, Identity Data Management, Identity Synchronization, Identity Security, Authentication Process, Identity As Platform, Identity Protection Service, Identity Confidentiality, Cybersecurity Measures, Digital Trust, App Store Policies, Supplier Quality, Identity Resolution Service, Identity Theft, Identity Resolution, Digital Identity, Personal Identity, Identity Governance Tool, Biometric Identification, Brand Values, User Access Management, KPIs Development, Biometric Security, Process Efficiency, Hardware Procurement, Master Data Management, Identity As Service, Identity Breach, Confrontation Management, Digital Signatures, Identity Diligence, Identity Protection, Role Based Access Control, Identity Theft Protection, Identity Intelligence, Identity Tracking, Cultural Diversity, Identity Application, Identity Access Control, IT Systems, Identity Validation, Third Party Identity Management, Brand Communication, Public Trust, IT Staffing, Identity Compliance, Lean Management, Six Sigma, Continuous improvement Introduction, User Provisioning, Systems Review, Identity Provider Access, Countermeasure Implementation, Cybersecurity Risk Management, Identity Infrastructure, Visual Management, Brand performance, Identity Proofing, Authentication Methods, Identity Management, Future Technology, Identity Audit, Identity Providers, Digital Customer Service, Password Management, Multi Factor Authentication, Risk Based Authentication




    Identity Aware Network Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Identity Aware Network


    Identity Aware Network is a system that allows an organization to track and monitor where specific data is stored or managed within applications and databases.

    1. Single Sign-On (SSO): Reduces the number of login credentials a user needs and simplifies access to multiple applications.
    2. Multi-Factor Authentication (MFA): Adds an extra layer of security by requiring multiple forms of identification before granting access.
    3. Role-Based Access Control (RBAC): Limits access to resources based on each user′s role, reducing the risk of unauthorized access.
    4. Identity Governance and Administration (IGA): Manages user access rights and permissions for different applications and systems.
    5. Privileged Access Management (PAM): Controls and monitors access to privileged accounts, reducing the risk of insider threats.
    6. Federated Identity Management (FIM): Allows users to access multiple applications seamlessly using a single set of login credentials.
    7. User Provisioning and De-provisioning: Automates the process of granting and revoking user access, improving efficiency and reducing the chances of errors.
    8. User Behavior Analytics (UBA): Monitors user activity and detects any abnormal behavior, helping to prevent data breaches.
    9. Self-Service Password Reset: Allows users to reset their passwords without assistance from IT support, saving time and resources.
    10. Mobile Device Management (MDM): Secures access to company data on mobile devices, ensuring compliance with security policies.

    CONTROL QUESTION: Does the organization know in which application or database each data entity is stored or mastered?


    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    By 2030, Identity Aware Network′s ultimate goal is to achieve full visibility and control over all data entities within our network. This means that every single data entity, whether it be personal information, financial data, or intellectual property, will have a designated application or database where it is stored or mastered.

    This ambitious objective will not only ensure the highest level of data security and protection, but it will also enable us to efficiently and effectively manage all data access and permissions. Our systems will be equipped with advanced tracking and monitoring capabilities to identify any unauthorized access or use of data entities.

    Furthermore, we aim to achieve complete data transparency for our customers, providing them with a clear understanding of how their data is being stored, used, and shared within our network. This will not only build trust and credibility with our customers, but also set a new standard for data privacy and governance in the industry.

    With this long-term goal as our driving force, we will continuously innovate and improve our technologies and processes to be at the forefront of data protection and management. Our ultimate aim is to create an identity aware network that is impenetrable and fully accountable for the storage and usage of all data entities, creating a secure and trusted environment for our customers and partners.

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    Identity Aware Network Case Study/Use Case example - How to use:



    Client Situation:

    ABC Corporation is a global manufacturing company that specializes in producing high-quality automotive parts. With operations in multiple countries and thousands of employees, ABC Corporation has a vast amount of sensitive data stored in various applications and databases. The company has been facing challenges in keeping track of where each data entity is stored or mastered. This is due to the complex IT infrastructure and lack of visibility into the data storage and management systems. As a result, the company is at risk of data breaches and non-compliance with regulations.

    To address these challenges, ABC Corporation has decided to adopt an Identity Aware Network (IAN). The IAN solution is expected to provide them with a comprehensive understanding of their data assets and help them identify where each data entity is stored or mastered. This will enable them to better manage and safeguard their data, meet compliance requirements, and improve overall data governance.

    Consulting Methodology:

    In order to help ABC Corporation achieve their goals, our consulting team followed a structured methodology that consisted of the following steps:

    1. Assessment and Analysis: The first step was to conduct a thorough assessment of the current data storage and management systems in place at ABC Corporation. This involved identifying all the applications and databases used by the company, analyzing their data flow and identifying potential data vulnerabilities.

    2. Stakeholder Engagement: The next step was to engage with key stakeholders in the organization, including the IT department, data owners, and compliance officers. This helped us gain a deeper understanding of the company′s data management processes and their specific requirements for data tracking and control.

    3. Solution Design and Implementation: Based on the findings from the assessment and stakeholder engagement, we designed a solution that would help ABC Corporation track and manage their data effectively. This involved implementing an IAN solution that would integrate with the existing IT infrastructure and provide real-time visibility into the data assets.

    4. Data Mapping and Classification: Our team worked with data owners and subject matter experts to map out the data assets in the organization and classify them based on their sensitivity level. This helped create a comprehensive inventory of data entities and their corresponding storage locations.

    5. Training and Change Management: We provided training to the IT team and data owners on how to use the IAN solution to track and manage data effectively. We also worked closely with the compliance team to ensure that the new processes and procedures were aligned with regulatory requirements.

    Deliverables:

    1. Data Asset Inventory: A comprehensive inventory of all data entities and their corresponding storage locations.

    2. Data Mapping and Classification: A detailed mapping and classification of data entities based on their sensitivity level.

    3. IAN Solution Implementation: Integration of the IAN solution with the existing IT infrastructure.

    4. Training and Change Management: Provision of training materials and sessions for IT personnel, data owners, and compliance officers.

    Implementation Challenges:

    During the implementation of the IAN solution, our consulting team faced various challenges such as:

    1. Identifying and mapping data entities across different systems and databases was a time-consuming task, which required close collaboration with data owners and subject matter experts.

    2. Integrating the IAN solution with legacy systems that were not designed to be easily integrated with other applications required careful planning and execution.

    3. Ensuring data accuracy and completeness during the data mapping and classification process was also a challenge, as some data entities were stored in multiple locations or had duplicate records.

    KPIs and Other Management Considerations:

    The success of the IAN project was measured using the following key performance indicators (KPIs):

    1. Time to complete data mapping and classification process.

    2. Number of identified data vulnerabilities and their severity level.

    3. Time taken to integrate the IAN solution with the existing IT infrastructure.

    4. Percentage of data assets that were accurately mapped and classified.

    In addition, management considered factors such as cost-effectiveness, regulatory compliance, and data security when evaluating the success of the project.

    Conclusion:

    The implementation of the IAN solution has helped ABC Corporation achieve a better understanding of their data assets and where each data entity is stored or mastered. The company now has improved visibility and control over their data, which has reduced the risk of data breaches and non-compliance with regulations. The IAN solution has also enabled ABC Corporation to make informed decisions regarding data management and governance, leading to increased efficiency and cost savings. Overall, the successful adoption of an Identity Aware Network has proven to be a valuable tool for organizations that want to effectively manage their data assets and ensure compliance with regulations.

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