June 24, 2026
AI Identity Security and the Evolution of IAM
Identity threats are advancing faster than most organizations can respond. To stay secure, leaders must rethink how they govern access across humans, machines and artificial intelligence.
As artificial intelligence agents and nonhuman identities (NHIs) proliferate, organizations can no longer rely on perimeter defenses or traditional identity solutions. The new security model is identity-first: determining who or what is requesting access in the moment, every time.
Yet many organizations are struggling to make this shift and to adapt their IAM strategies to AI-enabled environments. Complexity and a lack of internal expertise make it difficult to establish proper governance and implement best practices consistently, while fragmentation and a lack of integration pose challenges to scale. Moreover, NHIs now dominate many IT environments, even as organizations have yet to resolve existing risks, such as dormant accounts, permission sprawl and multifactor authentication gaps.
In response, IAM is expanding to bring humans, machines and AI agents under a unified governance model, anchored by zero-trust principles, least-privilege access and continuous verification for every identity.
Build an identity and access management program designed to address AI-driven risks and emerging threats.
As artificial intelligence agents and nonhuman identities (NHIs) proliferate, organizations can no longer rely on perimeter defenses or traditional identity solutions. The new security model is identity-first: determining who or what is requesting access in the moment, every time.
Yet many organizations are struggling to make this shift and to adapt their IAM strategies to AI-enabled environments. Complexity and a lack of internal expertise make it difficult to establish proper governance and implement best practices consistently, while fragmentation and a lack of integration pose challenges to scale. Moreover, NHIs now dominate many IT environments, even as organizations have yet to resolve existing risks, such as dormant accounts, permission sprawl and multifactor authentication gaps.
In response, IAM is expanding to bring humans, machines and AI agents under a unified governance model, anchored by zero-trust principles, least-privilege access and continuous verification for every identity.
Build an identity and access management program designed to address AI-driven risks and emerging threats.
Amid the rapid expansion of artificial intelligence, organizations are rethinking identity and access management and recognizing that perimeter defenses and even advanced IAM are insufficient if they do not properly manage nonhuman identities. As AI agents and other NHIs proliferate, organizations are shifting from an “inside/outside” framework to an identity-first model that determines who or what is requesting access in the moment. IAM is also evolving from a toolset focus centered on capabilities, such as multifactor authentication (MFA), into a centralized control plane for cybersecurity.
For many organizations, making these shifts is easier said than done. Nearly 94% of IT and security leaders say that complexity in identity infrastructure poses a challenge to their organizations’ security posture. Fragmentation, lack of governance and insufficient skill sets make it difficult to scale and integrate IAM. Moreover, NHIs now dominate IT environments, exercising a profound effect on security and IAM. And, many organizations have yet to resolve existing identity-related risks, such as permission sprawl, MFA gaps and dormant accounts (by one estimate, comprising 38% of all accounts).
To address these challenges, IAM is bringing humans, machines and AI agents under a unified model with consistent governance and security protections. In this environment, IAM best practices are essential, including least-privilege access, privileged access management (PAM) and identity lifecycle management. This shift underpins broader frameworks, such as zero-trust architecture and the continuous authentication of devices, users, behaviors and contextual cues before access is allowed.
A strong IAM program is a core component of an overall security strategy. However, while leaders recognize the dangers of insufficient IAM, many organizations lack the expertise to address these challenges effectively. External guidance can be crucial to ensure that IAM solutions, policies and practices are firmly in place to manage existing and emerging risks in AI-enabled environments.
55%
The percentage of identity permissions that were “safe and compliant” in 2025, down from 70% in 2024
Source: Veza, “State of Identity & Access 2026,” December 2025
Amid the rapid expansion of artificial intelligence, organizations are rethinking identity and access management and recognizing that perimeter defenses and even advanced IAM are insufficient if they do not properly manage nonhuman identities. As AI agents and other NHIs proliferate, organizations are shifting from an “inside/outside” framework to an identity-first model that determines who or what is requesting access in the moment. IAM is also evolving from a toolset focus centered on capabilities, such as multifactor authentication (MFA), into a centralized control plane for cybersecurity.
For many organizations, making these shifts is easier said than done. Nearly 94% of IT and security leaders say that complexity in identity infrastructure poses a challenge to their organizations’ security posture. Fragmentation, lack of governance and insufficient skill sets make it difficult to scale and integrate IAM. Moreover, NHIs now dominate IT environments, exercising a profound effect on security and IAM. And, many organizations have yet to resolve existing identity-related risks, such as permission sprawl, MFA gaps and dormant accounts (by one estimate, comprising 38% of all accounts).
To address these challenges, IAM is bringing humans, machines and AI agents under a unified model with consistent governance and security protections. In this environment, IAM best practices are essential, including least-privilege access, privileged access management (PAM) and identity lifecycle management. This shift underpins broader frameworks, such as zero-trust architecture and the continuous authentication of devices, users, behaviors and contextual cues before access is allowed.
A strong IAM program is a core component of an overall security strategy. However, while leaders recognize the dangers of insufficient IAM, many organizations lack the expertise to address these challenges effectively. External guidance can be crucial to ensure that IAM solutions, policies and practices are firmly in place to manage existing and emerging risks in AI-enabled environments.
IAM Evolution By the Numbers
65%
The percentage of organizations that say managing NHIs or machine identities is among their top priorities
Source: Identity Defined Security Alliance, “2025 Trends in Identity Security,” September 2025
4.8
The average number of systems in which a single enterprise identity is stored
Source: Cisco Duo, “2025 State of Identity Security: Challenges and Strategies from IT and Security Leaders,” August 2025
79%
The percentage of IT and security leaders exploring vendor consolidation as a way to simplify identity security and improve visibility
Source: Cisco Duo, “2025 State of Identity Security: Challenges and Strategies from IT and Security Leaders,” August 2025
IAM Evolution By the Numbers
65%
The percentage of organizations that say managing NHIs or machine identities is among their top priorities
Source: Identity Defined Security Alliance, “2025 Trends in Identity Security,” September 2025
4.8
The average number of systems in which a single enterprise identity is stored
Source: Cisco Duo, “2025 State of Identity Security: Challenges and Strategies from IT and Security Leaders,” August 2025
79%
The percentage of IT and security leaders exploring vendor consolidation as a way to simplify identity security and improve visibility
Source: Cisco Duo, “2025 State of Identity Security: Challenges and Strategies from IT and Security Leaders,” August 2025
- HOW AI IS TRANSFORMING IDENTITY SECURITY
- CHALLENGES TO EFFECTIVE IAM
- BUILD A MODERN IAM PROGRAM
AI affects IAM in several important ways, and organizations are struggling to ascertain the scope of the challenge. While AI-enabled IAM tools strengthen teams’ security capabilities, AI-powered attacks open new doors to bad actors. AI agents, NHIs and shadow AI expand the access-related risks that organizations must monitor and manage.
A NEW LANDSCAPE: Machine identities include NHIs (such as AI agents), application programming interfaces (APIs), certificates and service accounts. These can outnumber humans a hundredfold. Many organizations do not know which identities are present in their environment or what permissions they have. Another important consideration, as organizations expand AI models and inferences, is the vast amount of data these systems access and can inadvertently expose if they are not properly protected. In addition, unlike human identities, NHIs may stay in the environment indefinitely if ownership and lifecycle management are lacking.
SECURING EVERY IDENTITY: As of 2025, 62% of organizations were experimenting with AI agents or had scaled across one or two functions. However, many are doing so without clear IAM frameworks, leaving AI agents with greater access and cross-system capabilities than necessary. Meanwhile, machine identities pose risks related to hardcoded secrets, orphaned credentials and API tokens.
Governance is the core tenet of identity management. As with human identities, NHIs require clear ownership and policies, ongoing oversight, and best practices such as temporary or rotating credentials. Rather than granting persistent access to AI agents, organizations should require them to reauthenticate every time, with stepped-up verification for additional privileges. Human ownership should be clearly documented and periodically reviewed for accountability, and agent activity must be monitored for anomalies.
AI ON THE OFFENSE: Bad actors use AI to gain unauthorized access in a variety of ways, such as stealing credentials through expedited password cracking or impersonating IT help desks with convincing deepfakes that allow access to high-level accounts. AI can also enable automated reconnaissance of identity systems to quickly identify points of entry, such as dormant accounts or overprivileged credentials that could provide access to high-value systems.
DEFENSIVE AI: On the flip side, AI helps IAM solutions become more adaptive, proactive and intelligence driven. Vendors continue to integrate AI capabilities into IAM and identity governance and administration (IGA) platforms, where it automates processes related to authentication, provisioning and reporting. For example, AI-enabled platforms apply behavioral analytics to detect abnormal login or access patterns and use contextual cues to make real-time, risk-based access decisions. Organizations are also incorporating identity-based verification into edge protection with solutions such as secure access service edge and cloud-based cybersecurity platforms.
EVOLUTION OF ZERO TRUST: While 71% of IT and security leaders see value in a zero-trust approach, only 23% apply it consistently, and nearly half reserve it for critical or high-risk identities — a cause for concern if NHIs are not included in this category. Zero-trust principles, including continuous verification (as opposed to login-only checks) and least-privilege access, are nonnegotiable for modern environments in which AI introduces new attack vectors and new avenues for malicious behavior. Today, zero trust must extend to APIs and other machine identities, as well as AI agents and workloads. For many organizations, this represents a significant shift in their IAM approach.
Click Below To Continue Reading
Passwordless and phishing-resistant authentication helps organizations achieve the elusive goal of strengthening security while removing friction from the user experience. Adoption won’t happen overnight. Although 61% of IT and security leaders want their organizations to adopt passwordless access, they expect legacy systems and other challenges to make that difficult. But organizations are clearly moving in that direction.
Passwordless authentication verifies users with passkeys stored on a device, biometric identification or hardware keys. The FIDO (Fast Identity Online) Alliance has established industrywide authentication standards for passkey credentials.
These methods help to reduce credential theft and unauthorized access arising from phishing tactics, such as tricking users into entering sign-on information on a malicious website.
While passkeys, biometrics and FIDO-based authentication are becoming standard, adoption is growing slowly: Only 19% of organizations had fully implemented FIDO2 tokens as of 2025.
Passwordless authentication is a notable advance in user experience, enhancing productivity and efficiency for users and IT help desks. It also adds a security layer by incorporating devices into the authentication process.
AI’s explosive growth and a pervasive lack of understanding about its impact are two of the most serious challenges facing organizations as they work to improve IAM. Frequently, organizations also encounter barriers related to complex environments, systems fragmentation and insufficient internal resources (in both staffing and expertise).
COMPLEXITY AND EXPERTISE: For many organizations, complexity is the biggest IAM challenge. In addition to creating technical complications, identity and infrastructure complexity exacerbate other issues. For example, more than one-quarter of organizations cite a lack of expertise as a barrier to securing identities, and many struggle to hire enough skilled professionals to handle IAM. Unfortunately, these challenges will persist for many teams as IAM continues to evolve in response to AI-related threats, capabilities and identities.
VISIBILITY AND OVERSIGHT: Fragmented environments are another common challenge. Organizationally, IAM requires involvement from varied stakeholders who often have conflicting priorities, which can create resistance to centralized control. Technologically, silos and lack of integration impair visibility. In one survey, 69% of IT and security leaders said they lack complete visibility into identity vulnerabilities, with more than half lacking insight into administrative access. Governance addresses these concerns by establishing ownership over identities, clarity about access and policies for identity lifecycle management. Compliance adds another layer of complexity as organizations navigate regulations that affect IAM.
UNMANAGED SPRAWL: Poorly managed access is at the root of many serious breaches, such as social engineering exploits that give way to ransomware or attacks that incorporate AI-based identities. An in-depth survey of 160 enterprises found that poorly controlled permissions are rampant and that the scale of the problem exceeds manual intervention, which is why IAM is increasingly focused on AI-enabled platforms. Many organizations have soaring levels of dormant or orphaned accounts, excessive permissions and numerous active credentials belonging to former employees. Bad actors are aware of these vulnerabilities and target them.
SHIFTING METRICS: IAM metrics are more important than ever. Organizations must be able to quantify their risks and the effectiveness of IAM strategies, yet many lack the ability to do so. Metrics should include an initial baseline that helps organizations set priorities, measure progress and report improvements to boards and executives. Measurement also drives accountability as leaders identify shortfalls and exceptions and assign responsibility for resolution. From that perspective, it’s important to use metrics to not only demonstrate milestone results but also to provide continuous evaluation and progress.
CONTINUOUS IMPROVEMENT: Organizations seeking to modernize their IAM programs will achieve the best long-term outcomes with an approach centered around continuous improvement — striving not for perfection but for consistent indications that controls are working and risks are diminishing. When establishing metrics, organizations should ensure they address coverage, hygiene, access correctness, and detection and response.
Coverage shows how many privileged and high-risk identities are protected by phishing-resistant authentication, while hygiene lets organizations measure how well they are addressing ownerless accounts, expiring certificate incidents and similar issues. Access correctness supports governance and helps to reduce sprawl, using metrics such as the variance between assigned roles and actual usage and the average time to remediate privilege creep. Detection and response metrics demonstrate the effectiveness of monitoring solutions; for example, by showing how quickly the organization can catch and contain identity incidents.
As leaders work to align IAM programs with best practices designed for AI and other emerging challenges, some solutions and strategies can help them achieve their objectives. At the same time, many organizations will see faster, more sustainable results by partnering with an expert that deeply understands AI and IAM.
ALIGN ACCESS AND POLICY: Well-designed access management ensures that the right people can access the right systems at the right time without tools, workflows or policies hampering their productivity. Authentication and authorization are streamlined, while being closely monitored and controlled through real-time, contextual analysis.
Identity governance and administration align access with policy and least-privilege principles at every step. If IAM is shifting to become identity-first, it is also becoming governance-first, especially where NHIs are concerned. CDW’s IGA services help organizations in all industries evaluate their IT infrastructure, IAM processes and business to identify gaps and areas for improvement, recommend solutions and develop a comprehensive plan for implementation.
IMPLEMENT PRIVILEGED ACCESS: Privileged access management applies stringent protection to high-risk accounts, ensuring that access is carefully and continuously controlled, monitored and limited. CDW’s PAM experts can help organizations determine the appropriate access for specific roles and privileges; implement PAM software, IAM platforms or other solutions that enable centralized management and control; and establish routine processes to review and audit high-risk accounts. Together, these steps strengthen compliance and audit efforts while providing an essential defense against data breaches and insider threats.
MANAGE CUSTOMER ACCESS: Customer identity and access management balances security and the user experience, protecting customers’ sensitive information without introducing undue friction into digital transactions. For customer-focused organizations, CDW’s CIAM services can help teams improve the customer experience through flexible authentication methods and low-friction access, enhance security through custom solutions that protect sensitive data, and increase interoperability to give customers and employees more streamlined interactions with systems and applications.
PARTNER WITH CDW: CDW helps organizations overcome IAM challenges by working collaboratively to develop a holistic IAM strategy tailored to each customer’s environment. CDW’s experts specialize in custom solutions designed to grow with organizations and align with AI initiatives.
To start, leaders often benefit from an IAM Strategy Engagement that analyzes business and security objectives to build a roadmap for IAM. This roadmap serves to guide customers through every aspect of IAM modernization, including new tool deployments, integrations, functionality improvements and business justifications.
SPECIALIZED IAM SERVICES: CDW can help organizations tackle specific challenges related to IAM, augmenting internal teams’ capacity and providing expertise in AI-related threats, challenges and identities.
Solution design experts evaluate customers’ IAM program objectives and recommend solutions that meet their needs.
Integration services focus on data migration and analysis, including systems preparation, implementation and risk management integration.
CDW’s NHI services ensure that customers have the proper IAM foundation for machine identities as well as current and future AI agents.
Managed security services support, maintain and enhance the IAM program, regardless of the technology stack, enabling organizations to deploy internal teams elsewhere and ensuring that security stays up to date as AI and other technologies evolve.
- HOW AI IS TRANSFORMING IDENTITY SECURITY
- CHALLENGES TO EFFECTIVE IAM
- BUILD A MODERN IAM PROGRAM
AI affects IAM in several important ways, and organizations are struggling to ascertain the scope of the challenge. While AI-enabled IAM tools strengthen teams’ security capabilities, AI-powered attacks open new doors to bad actors. AI agents, NHIs and shadow AI expand the access-related risks that organizations must monitor and manage.
A NEW LANDSCAPE: Machine identities include NHIs (such as AI agents), application programming interfaces (APIs), certificates and service accounts. These can outnumber humans a hundredfold. Many organizations do not know which identities are present in their environment or what permissions they have. Another important consideration, as organizations expand AI models and inferences, is the vast amount of data these systems access and can inadvertently expose if they are not properly protected. In addition, unlike human identities, NHIs may stay in the environment indefinitely if ownership and lifecycle management are lacking.
SECURING EVERY IDENTITY: As of 2025, 62% of organizations were experimenting with AI agents or had scaled across one or two functions. However, many are doing so without clear IAM frameworks, leaving AI agents with greater access and cross-system capabilities than necessary. Meanwhile, machine identities pose risks related to hardcoded secrets, orphaned credentials and API tokens.
Governance is the core tenet of identity management. As with human identities, NHIs require clear ownership and policies, ongoing oversight, and best practices such as temporary or rotating credentials. Rather than granting persistent access to AI agents, organizations should require them to reauthenticate every time, with stepped-up verification for additional privileges. Human ownership should be clearly documented and periodically reviewed for accountability, and agent activity must be monitored for anomalies.
AI ON THE OFFENSE: Bad actors use AI to gain unauthorized access in a variety of ways, such as stealing credentials through expedited password cracking or impersonating IT help desks with convincing deepfakes that allow access to high-level accounts. AI can also enable automated reconnaissance of identity systems to quickly identify points of entry, such as dormant accounts or overprivileged credentials that could provide access to high-value systems.
DEFENSIVE AI: On the flip side, AI helps IAM solutions become more adaptive, proactive and intelligence driven. Vendors continue to integrate AI capabilities into IAM and identity governance and administration (IGA) platforms, where it automates processes related to authentication, provisioning and reporting. For example, AI-enabled platforms apply behavioral analytics to detect abnormal login or access patterns and use contextual cues to make real-time, risk-based access decisions. Organizations are also incorporating identity-based verification into edge protection with solutions such as secure access service edge and cloud-based cybersecurity platforms.
EVOLUTION OF ZERO TRUST: While 71% of IT and security leaders see value in a zero-trust approach, only 23% apply it consistently, and nearly half reserve it for critical or high-risk identities — a cause for concern if NHIs are not included in this category. Zero-trust principles, including continuous verification (as opposed to login-only checks) and least-privilege access, are nonnegotiable for modern environments in which AI introduces new attack vectors and new avenues for malicious behavior. Today, zero trust must extend to APIs and other machine identities, as well as AI agents and workloads. For many organizations, this represents a significant shift in their IAM approach.
Click Below To Continue Reading
Passwordless and phishing-resistant authentication helps organizations achieve the elusive goal of strengthening security while removing friction from the user experience. Adoption won’t happen overnight. Although 61% of IT and security leaders want their organizations to adopt passwordless access, they expect legacy systems and other challenges to make that difficult. But organizations are clearly moving in that direction.
Passwordless authentication verifies users with passkeys stored on a device, biometric identification or hardware keys. The FIDO (Fast Identity Online) Alliance has established industrywide authentication standards for passkey credentials.
These methods help to reduce credential theft and unauthorized access arising from phishing tactics, such as tricking users into entering sign-on information on a malicious website.
While passkeys, biometrics and FIDO-based authentication are becoming standard, adoption is growing slowly: Only 19% of organizations had fully implemented FIDO2 tokens as of 2025.
Passwordless authentication is a notable advance in user experience, enhancing productivity and efficiency for users and IT help desks. It also adds a security layer by incorporating devices into the authentication process.
AI’s explosive growth and a pervasive lack of understanding about its impact are two of the most serious challenges facing organizations as they work to improve IAM. Frequently, organizations also encounter barriers related to complex environments, systems fragmentation and insufficient internal resources (in both staffing and expertise).
COMPLEXITY AND EXPERTISE: For many organizations, complexity is the biggest IAM challenge. In addition to creating technical complications, identity and infrastructure complexity exacerbate other issues. For example, more than one-quarter of organizations cite a lack of expertise as a barrier to securing identities, and many struggle to hire enough skilled professionals to handle IAM. Unfortunately, these challenges will persist for many teams as IAM continues to evolve in response to AI-related threats, capabilities and identities.
VISIBILITY AND OVERSIGHT: Fragmented environments are another common challenge. Organizationally, IAM requires involvement from varied stakeholders who often have conflicting priorities, which can create resistance to centralized control. Technologically, silos and lack of integration impair visibility. In one survey, 69% of IT and security leaders said they lack complete visibility into identity vulnerabilities, with more than half lacking insight into administrative access. Governance addresses these concerns by establishing ownership over identities, clarity about access and policies for identity lifecycle management. Compliance adds another layer of complexity as organizations navigate regulations that affect IAM.
UNMANAGED SPRAWL: Poorly managed access is at the root of many serious breaches, such as social engineering exploits that give way to ransomware or attacks that incorporate AI-based identities. An in-depth survey of 160 enterprises found that poorly controlled permissions are rampant and that the scale of the problem exceeds manual intervention, which is why IAM is increasingly focused on AI-enabled platforms. Many organizations have soaring levels of dormant or orphaned accounts, excessive permissions and numerous active credentials belonging to former employees. Bad actors are aware of these vulnerabilities and target them.
SHIFTING METRICS: IAM metrics are more important than ever. Organizations must be able to quantify their risks and the effectiveness of IAM strategies, yet many lack the ability to do so. Metrics should include an initial baseline that helps organizations set priorities, measure progress and report improvements to boards and executives. Measurement also drives accountability as leaders identify shortfalls and exceptions and assign responsibility for resolution. From that perspective, it’s important to use metrics to not only demonstrate milestone results but also to provide continuous evaluation and progress.
CONTINUOUS IMPROVEMENT: Organizations seeking to modernize their IAM programs will achieve the best long-term outcomes with an approach centered around continuous improvement — striving not for perfection but for consistent indications that controls are working and risks are diminishing. When establishing metrics, organizations should ensure they address coverage, hygiene, access correctness, and detection and response.
Coverage shows how many privileged and high-risk identities are protected by phishing-resistant authentication, while hygiene lets organizations measure how well they are addressing ownerless accounts, expiring certificate incidents and similar issues. Access correctness supports governance and helps to reduce sprawl, using metrics such as the variance between assigned roles and actual usage and the average time to remediate privilege creep. Detection and response metrics demonstrate the effectiveness of monitoring solutions; for example, by showing how quickly the organization can catch and contain identity incidents.
As leaders work to align IAM programs with best practices designed for AI and other emerging challenges, some solutions and strategies can help them achieve their objectives. At the same time, many organizations will see faster, more sustainable results by partnering with an expert that deeply understands AI and IAM.
ALIGN ACCESS AND POLICY: Well-designed access management ensures that the right people can access the right systems at the right time without tools, workflows or policies hampering their productivity. Authentication and authorization are streamlined, while being closely monitored and controlled through real-time, contextual analysis.
Identity governance and administration align access with policy and least-privilege principles at every step. If IAM is shifting to become identity-first, it is also becoming governance-first, especially where NHIs are concerned. CDW’s IGA services help organizations in all industries evaluate their IT infrastructure, IAM processes and business to identify gaps and areas for improvement, recommend solutions and develop a comprehensive plan for implementation.
IMPLEMENT PRIVILEGED ACCESS: Privileged access management applies stringent protection to high-risk accounts, ensuring that access is carefully and continuously controlled, monitored and limited. CDW’s PAM experts can help organizations determine the appropriate access for specific roles and privileges; implement PAM software, IAM platforms or other solutions that enable centralized management and control; and establish routine processes to review and audit high-risk accounts. Together, these steps strengthen compliance and audit efforts while providing an essential defense against data breaches and insider threats.
MANAGE CUSTOMER ACCESS: Customer identity and access management balances security and the user experience, protecting customers’ sensitive information without introducing undue friction into digital transactions. For customer-focused organizations, CDW’s CIAM services can help teams improve the customer experience through flexible authentication methods and low-friction access, enhance security through custom solutions that protect sensitive data, and increase interoperability to give customers and employees more streamlined interactions with systems and applications.
PARTNER WITH CDW: CDW helps organizations overcome IAM challenges by working collaboratively to develop a holistic IAM strategy tailored to each customer’s environment. CDW’s experts specialize in custom solutions designed to grow with organizations and align with AI initiatives.
To start, leaders often benefit from an IAM Strategy Engagement that analyzes business and security objectives to build a roadmap for IAM. This roadmap serves to guide customers through every aspect of IAM modernization, including new tool deployments, integrations, functionality improvements and business justifications.
SPECIALIZED IAM SERVICES: CDW can help organizations tackle specific challenges related to IAM, augmenting internal teams’ capacity and providing expertise in AI-related threats, challenges and identities.
Solution design experts evaluate customers’ IAM program objectives and recommend solutions that meet their needs.
Integration services focus on data migration and analysis, including systems preparation, implementation and risk management integration.
CDW’s NHI services ensure that customers have the proper IAM foundation for machine identities as well as current and future AI agents.
Managed security services support, maintain and enhance the IAM program, regardless of the technology stack, enabling organizations to deploy internal teams elsewhere and ensuring that security stays up to date as AI and other technologies evolve.
CDW can help your organization align its IAM program with strategic security objectives.
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