Modern IAM now spans authentication, authorization, lifecycle governance, privileged access, non-human identities, and access intelligence. A hospital, a bank, a federal agency, and a manufacturing plant all face this expanded scope, but they experience it very differently.
Each sector carries its own identity population, regulatory pressure, legacy footprint, and risk tolerance. A delayed offboarding at a law firm creates a confidentiality problem; the same delay at a hospital can mean a former contractor still has access to patient records.
This article compares five core IAM trends across healthcare, financial services, federal government, manufacturing and critical infrastructure, higher education, and legal organizations, then looks at what's driving the shift and where it's heading next.
Key Takeaways
- IAM is shifting from login protection to continuous identity security across human and non-human identities
- Non-human identities and AI agents now require the same governance rigor as employee accounts
- Phishing-resistant authentication is expanding fast, but legacy applications and shared devices slow adoption in some sectors
- Regulated industries prioritize auditability and separation of duties; distributed organizations prioritize lifecycle speed and federation
- A complete identity and application inventory should come before any tool purchase or control redesign
Latest IAM Trends Across Industries
Five trends are reshaping identity programs right now. Each one shows up differently depending on the industry's data sensitivity, workforce model, and legacy environment. Here's what's changing, how it plays out sector by sector, and what to evaluate before investing.
Non-Human Identities and AI Agents Become Governed Identity Classes
Service accounts, API keys, workload identities, bots, OAuth grants, and AI agents have outgrown the human workforce inside most organizations. Service accounts behave predictably, running scheduled, defined tasks. AI agents don't. They can take dynamic actions and request permissions on the fly, which makes static governance models inadequate.
The scale is significant. According to the Identity Defined Security Alliance's 2025 research covering 2,600 security decision-makers, machine identities now outnumber human identities by 82 to 1.
Industry manifestations differ sharply:
- Healthcare must govern clinical integrations and EHR-connected accounts, including third-party vendor access to Epic or Cerner systems
- Financial services must control automated trading, payment, and data-processing identities that move money without a human in the loop
- Manufacturing and utilities must secure operational technology and machine-to-machine access across plant-floor systems
- Federal and higher education environments must track distributed contractors, research systems, and agency or campus applications
Practical controls matter more than the label. Every non-human identity needs:
- A named owner
- Purpose-based access scoped to a specific function
- Credential expiration and rotation
- Monitoring that flags dormant or over-permissioned accounts before they become an audit finding
Phishing-Resistant, Passwordless, and Adaptive Authentication Expand
Basic MFA is losing ground to phishing-resistant methods like FIDO2/WebAuthn security keys and passkeys. Adaptive authentication adds another layer, using device posture, session behavior, and risk context to decide whether a login needs a step-up challenge.
Adoption is moving fast in the US workforce. FIDO Alliance research published in February 2025 found that 87% of surveyed US and UK companies with 500+ employees had deployed or were deploying passkeys, with 90% reporting a security improvement and 77% seeing fewer help-desk calls.
Adoption barriers vary by setting:
- Hospitals and manufacturers contend with shared devices, clinical workflows, and legacy applications that can't support modern authentication
- Banks and federal agencies face stronger assurance requirements that limit which methods qualify
- Universities and legal organizations need to support varied users, external collaborators, and personal device access
One gap gets overlooked constantly: machine identities can't use human-style MFA. Service accounts and API keys need their own credential management strategy, not a workaround borrowed from employee authentication. Recovery paths and accessibility for non-SSO applications also need explicit planning, not an afterthought.
Identity-First Zero Trust and Least-Privilege Enforcement Mature
Zero Trust is becoming an operating model, not a bolt-on feature. Every access request gets evaluated against identity, device, resource, context, and risk, rather than trusted because it originated inside the network perimeter.
CISA's Zero Trust Maturity Model extends the definition of identity to include non-person entities, and its target-state practices call for continuous validation, real-time identity-risk analysis, and automated just-in-time, just-enough access. NIST's Zero Trust architecture guidance similarly calls for access rules granular enough to enforce least privilege for each specific action requested.
Sector priorities diverge here:
- Financial services and federal organizations emphasize privileged access, strong assurance, and separation of duties
- Healthcare has to balance least privilege against urgent clinical access needs, where a delay can affect patient care
- Manufacturing and critical infrastructure must preserve operational continuity across segmented OT environments
RBAC works for stable, well-defined roles. ABAC fits environments where access depends on shifting attributes like project, location, or clearance. Just-in-time privilege and privileged session controls reduce standing access to near zero, which is exactly the outcome CISA's guidance is pushing toward: fewer unmanaged access paths and faster removal when access is no longer needed.
Continuous IGA, Identity Threat Detection, and Posture Management Replace Point-in-Time Visibility
Traditional IGA runs on cycles: joiner-mover-leaver events, periodic access requests, quarterly or annual certifications, and segregation-of-duties checks. Continuous identity security posture management fills the gaps between those cycles, catching problems in real time instead of at the next review.
CISA's IAM best-practice guidance recommends centralized visibility into identities and privileges, ongoing logging and analytics, and enforced segregation of duties, rather than relying solely on scheduled reviews.
What continuous monitoring catches that point-in-time reviews miss:
- Dormant accounts sitting unused for months
- Entitlement drift as roles change without access being adjusted
- Risky OAuth grants approved once and never revisited
- Orphaned accounts left behind after offboarding gaps
- Excessive privilege accumulated through role changes over time
Evidence needs differ by sector:
- Healthcare and financial services need traceable access decisions tied to remediation steps
- Federal organizations need defensible control evidence for audits
- Higher education and research need visibility across decentralized systems IT doesn't fully control
- Legal organizations need tight, provable control over sensitive matter and client data
IAM Stack Consolidation and Automation Improve Operational Resilience
Disconnected identity providers, IGA, PAM, SaaS discovery, ticketing, and security tools create partial inventories and gaps between approval and enforcement. When five systems each hold a piece of the identity picture, none of them holds the whole picture.
Integration pressure looks different everywhere:
- Hospitals need HR, EHR, directory, and service-management systems talking to each other
- Banks need core business systems and third-party access connected under one governance model
- Manufacturers need IT and OT integrated alongside workforce systems
- Universities and government agencies need federation across campuses, departments, or agencies
Before consolidating, evaluate:
- Standards support
- API and connector coverage
- Lifecycle automation depth
- Data ownership and audit trail quality
- Deployment model
- Ability to govern both legacy and cloud applications
This is exactly the stage where teams tend to skip a step. Consolidating tools without a clear, validated requirements baseline usually just moves the chaos into a new platform.
Identity CoAnalyst addresses that gap as a vendor-agnostic discovery and requirements platform. Teams use it to gather stakeholder input, surface contradictions between departments, and produce implementation-ready requirements before selecting or consolidating IAM, IGA, or PAM tools.
It doesn't handle authentication or access enforcement. It handles the planning work that determines whether the tool you eventually pick will actually fit.
What's Driving These IAM Trends
Several forces are pushing organizations from periodic access administration toward continuous, risk-based identity security.
Technology change is multiplying identities faster than most teams can track them. Cloud adoption, SaaS sprawl, APIs, automation, hybrid work, and AI applications are all adding identities and access relationships that didn't exist five years ago.
Threat evolution is exposing the gaps directly. Microsoft's 2024 Digital Defense Report recorded 600 million daily identity attacks, with password-based attacks representing more than 99% of that volume.
Verizon's 2025 Data Breach Investigations Report found stolen credentials involved in 22% of breaches and third-party involvement in 30%, up from roughly 15% the year prior.
Regulatory pressure varies by sector but points in the same direction:
- HIPAA's proposed rule would require MFA with limited exceptions
- FFIEC guidance directs financial institutions toward layered security and privileged re-authentication
- OMB M-22-09 requires federal agencies to use enterprise-managed identities and phishing-resistant MFA for staff, contractors, and partners
Business complexity compounds all of it. Contractors who never enter the HR system, vendors managed outside standard workflows, and mergers that combine two identity populations overnight all make manual provisioning unreliable.
Cost and resilience round out the picture. IBM's 2024 Cost of a Data Breach Report found breaches involving compromised credentials took nearly 10 months to identify and contain, at a global average cost of $4.88 million. Automation has become a cost-containment strategy, not an optional upgrade.
How These Trends Are Impacting Different Industries
The same trend can hit two organizations completely differently depending on data sensitivity, workforce model, and tolerance for downtime.
Healthcare and Hospital Networks
Clinicians need fast access. Patient data needs tight protection. Those two needs pull in opposite directions constantly.
A 2023 peer-reviewed case study of a UK COVID-19 vaccination center offers a useful benchmark. Identity governance tools provisioned 500 temporary staff accounts in 25 minutes, then automatically decommissioned every account when the center closed. Full audit trails supported compliance review.
That's the model healthcare organizations are chasing:
- Automated joiner-mover-leaver processes
- Controlled emergency access with mandatory post-incident review
- Role design that reflects how clinical teams actually work
Financial Services and Insurance
Banking, payments, trading, and insurance systems all carry high-assurance authentication requirements, strict segregation of duties, and constant entitlement certification pressure.
FFIEC guidance requires layered security controls and mandates that certain critical-system changes get approval from more than one privileged user plus MFA re-authentication. Balancing that against developer and customer experience is the real challenge. Fraud reduction and audit evidence can't come at the cost of a login process nobody can use.
Federal Government and Other Public-Sector Environments
Federal environments combine legacy applications, contractor populations, strong identity assurance requirements, and constant audit exposure.
OMB M-22-09 requires phishing-resistant MFA for staff, contractors, and partners. It directs agencies to phase out authentication methods vulnerable to phishing, including SMS codes and push notifications.
CISA's Zero Trust Maturity Model translates that mandate into practice: continuous, risk-based, just-in-time authorization built around identity as the control point, not the network perimeter.
Translating this into action starts with an inventory: every human and non-person entity, every legacy application, and every gap between granted and actual access.
Manufacturing, Critical Infrastructure, Higher Education, and Legal Organizations
Different sectors, same underlying discovery problem:
- Manufacturing and utilities run IT/OT continuity concerns alongside NERC CIP obligations and machine identities that can outlive the engineers who set them up
- Higher education manages decentralized IT, federated access through systems like InCommon, and enrollment churn that can mean onboarding thousands of people in a two-week window
- Legal organizations need matter-based access controls, privilege protection, and airtight client-data isolation
Before choosing a path forward, run this checklist:
- Map your identity population — human, non-human, and application identities together
- Inventory legacy applications that resist modern authentication
- Assess third-party access across vendors, contractors, and partners
- Identify regulatory exposure specific to your sector
- Audit privileged activity and standing access
- Confirm uptime requirements before making architecture changes
- Test your current ability to collect reliable access data — this is where most projects stall
Future Signals for IAM Across Industries
The next one to three years will be shaped less by isolated authentication features and more by how organizations govern identity populations that keep changing shape.
Watch for these early indicators:
- Formal ownership assigned to AI agents and service accounts, not just employees
- Identity inventories that include workload and OAuth identities alongside human accounts
- Continuous control dashboards replacing point-in-time audit prep
- Stronger assurance requirements spreading beyond federal and financial sectors
- Consolidation of fragmented identity tooling into fewer, better-integrated platforms
Gartner's June 2025 forecast projects that 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024. The same forecast warns that more than 40% of agentic AI projects could be canceled by 2027 due to unclear business value or inadequate risk controls.
NIST's National Cybersecurity Center of Excellence is exploring standards-based methods for identifying and authorizing AI agents. That work treats agent identity as a governance problem regulators expect organizations to address.
Those signals point to three planning scenarios worth mapping against your own organization:
- A regulated enterprise prioritizing continuous evidence for auditors and regulators
- A distributed organization prioritizing identity visibility and lifecycle automation across decentralized units
- An organization modernizing legacy systems while maintaining operational continuity throughout the transition
Conclusion
IAM across US industries is moving from account administration and periodic reviews into continuous governance of human, non-human, and AI identities. The trends are consistent. The priorities aren't.
Before you change a single control, compare these trends against:
- Regulatory obligations
- Identity population
- Legacy systems
- Third-party relationships
Start with accurate discovery and prioritized requirements. Tool selection—and everything after it—works better once that foundation is solid.
Frequently Asked Questions
What is the future of identity and access management?
IAM is shifting toward continuous, risk-based governance of human, non-human, and AI identities. Expect phishing-resistant authentication and automated lifecycle controls, with identity-aware security extending across cloud, hybrid, and legacy environments.
What are the top 10 IAM tools?
The right tool depends on whether you need IAM, IGA, PAM, CIAM, or identity threat detection. Compare integration coverage, lifecycle automation, governance depth, and industry fit rather than relying on an unqualified ranking.
How do IAM priorities differ by industry?
Healthcare prioritizes clinical access speed, while financial services emphasizes auditability and fraud controls. Federal agencies need strong assurance and evidence; manufacturing and higher education focus on legacy integration and decentralized access.
What is the most important IAM trend for organizations to address first?
Build a complete inventory of human, non-human, and application identities before anything else. Then remediate orphaned accounts, excessive privilege, weak authentication, and delayed lifecycle events by risk level.
How should organizations prepare for AI agents in IAM?
Start with agent discovery and accountable ownership for each one. Add scoped permissions, delegated authority limits, and activity monitoring. Pair those with approval workflows and regular review of actual versus granted access.
