Akamai Identity Cloud alternatives show CIAM is moving to orchestration

At a glance

What this is: This is a comparison-led analysis of why teams are moving away from Akamai Identity Cloud, with the central finding that CIAM is shifting toward orchestration, migration flexibility, and support for human and agentic identities.

Why it matters: IAM and CIAM teams need to treat end-of-life timelines, workflow rigidity, and multi-tenant requirements as architecture decisions, not just vendor selection, because they affect user journeys, developer effort, and future identity scope.

By the numbers:

• Descope says support for Identity Cloud ends on December 31, 2027.
• Descope's 2025 State of Customer Identity Report found that only 2% of organizations believe legacy username/password auths balance security and user experience.

Context

CIAM is customer identity and access management, the layer that governs how consumers, partners, and increasingly machine actors authenticate and move through digital journeys. In this article, the primary governance problem is not just feature parity but whether a legacy platform can still support modern authentication, tenant isolation, and orchestration without amplifying migration risk.

Akamai Identity Cloud is presented as a platform in maintenance mode, which changes the operational question from feature comparison to lifecycle management. For identity teams, the issue is how to avoid extending a brittle CIAM estate while preserving authentication continuity for B2C, B2B, and emerging agentic use cases.

Key questions

Q: What should teams do first when a CIAM platform enters maintenance mode?

A: Start by inventorying every custom authentication flow, tenant model, and application dependency tied to the legacy platform. The first goal is to identify what must move, what can be retired, and what would break if the vendor stopped changing the product entirely.

Q: Why do legacy CIAM platforms create more risk as requirements change?

A: They often freeze identity decisions inside rigid rules and platform-specific workflows, which makes ordinary changes slower and harder to test. Over time, the organisation accumulates migration debt, higher engineering effort, and more brittle dependencies between application release cycles and identity operations.

Q: What breaks when a CIAM platform lacks native multi-tenant support?

A: Teams usually end up simulating tenant boundaries with custom modeling, manual onboarding, or application-side logic. That makes delegated administration harder, weakens consistency across customer and partner populations, and creates governance drift as environments scale.

Q: How should organisations think about AI agent identity in CIAM?

A: AI agents should be treated as separate identity subjects with their own authentication, authorization, and audit requirements. If the platform only handles human login journeys, the organisation will be forced to bolt on control logic later, which increases risk and slows deployment.

Technical breakdown

Why CIAM orchestration is replacing rule-heavy identity flows

Legacy CIAM platforms often encode authentication logic through configuration, rules, and vendor-specific constructs. That works until teams need to change login, MFA, recovery, or step-up paths quickly across multiple user populations. Orchestration changes the model by separating flow design from application code, so identity teams can adjust journeys without rewriting every application integration. The technical difference is important: orchestration gives policy and journey control at the identity layer, while older CIAM patterns push more logic into brittle app-side implementations or opaque platform rules.

Practical implication: Model identity flow changes as an orchestration problem, not an application rewrite problem.

Why multi-tenant CIAM matters for B2B and partner identity

Multi-tenant CIAM is not just a directory design choice. It determines whether organizations can isolate tenants, delegate administration, and apply tenant-aware policies without custom modeling work. When a platform was originally built around B2C assumptions, B2B and ecosystem identity usually get bolted on through manual onboarding, tenant hacks, or application-specific control logic. That increases operational overhead and makes access governance harder to standardize across customers, partners, and internal administrators.

Practical implication: Require native tenant isolation and delegated administration before committing to a replacement CIAM architecture.

How agentic identity expands the CIAM design surface

Agentic identity extends CIAM beyond human users to AI agents and protocol-mediated workloads that still need authentication, authorization, and auditability. The key shift is that the identity system must handle non-human actors as first-class subjects, not as exceptions attached to app logic. That introduces different trust boundaries, especially when agents operate through tools such as MCP-based ecosystems. CIAM strategies that only support human login journeys will struggle once applications need shared policy, distinct consent, and scoped permissions across people and agents.

Practical implication: Treat AI agent access as an identity design requirement, not an integration edge case.

Breaches seen in the wild

• Moltbook AI agent keys breach: Moltbook breach exposed 1.5M AI agent keys.
• DeepSeek database exposure 2025: An unauthenticated DeepSeek ClickHouse database exposed over a million log lines with plaintext chat history and API keys in 2025.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Orchestration is now the governing model for modern CIAM. Legacy customer identity platforms increasingly fail because they assume authentication logic will remain relatively stable inside one application stack. Once teams need to support adaptive MFA, passwordless flows, tenant-aware access, and rapid journey change, orchestration becomes the control plane rather than an optional feature. Practitioners should read CIAM roadmaps as lifecycle architecture, not product feature lists.

Maintenance mode turns technical debt into governance debt. A platform that still authenticates users but no longer receives meaningful feature development forces organisations to carry old assumptions forward. That creates a mismatch between current product requirements and the identity layer underneath them. The practical implication is that identity teams need to reframe end-of-life planning as operational resilience work, not just a migration project.

Multi-tenant identity is now a baseline requirement for B2B SaaS. Tenant-aware RBAC, delegated administration, and organization-level policy controls are no longer niche additions. They define whether identity can scale across customers and partners without pushing governance into bespoke code. For identity architects, the question is whether the platform can express organisational boundaries natively or only simulate them.

Agentic identity broadens CIAM from human access to delegated runtime trust. Once AI agents enter the identity model, the system must govern non-human actors alongside users and partners. That changes how authentication, consent, and authorization are scoped because the actor can initiate actions through tools as part of a workflow. The implication is clear: CIAM programmes that stop at human login are already incomplete.

Identity portability is becoming a strategic control, not a convenience feature. Migration support, documentation, and flow portability matter because long-lived identity stacks now carry business continuity risk. The organisations most exposed are the ones whose authentication logic is tightly coupled to vendor-specific rules and custom workflows. Practitioners should prefer architectures that reduce platform lock-in at the identity logic layer as well as at the contract layer.

From our research library:

• AI-related credential leaks surged 81.5% year-over-year in 2025, with the surrounding AI infrastructure leaking 5x faster than core LLM providers, according to the State of Secrets Sprawl 2026.
• Read next: Agentic AI Security Guide

What this signals

Migration pressure is becoming an identity architecture issue. Once a CIAM platform enters maintenance mode, the programme has to absorb both continuity risk and redesign work at the same time. Teams should assume that flow portability, tenant modelling, and authentication method coverage will matter more than familiar branding or historical fit.

Identity orchestration is the new control point for change. When login, MFA, recovery, and step-up decisions are decoupled from application code, teams can evolve journeys without rebuilding the surrounding estate. That matters most where the identity programme must serve customers, partners, and AI agents through the same governance model.

Legacy username/password assumptions are eroding quickly: AI-related credential leaks surged 81.5% year-over-year in 2025, with the surrounding AI infrastructure leaking 5x faster than core LLM providers, according to the State of Secrets Sprawl 2026. CIAM roadmaps that stop at human authentication will miss the broader trust surface now forming around agentic access.

For practitioners

• Audit legacy CIAM for migration blockers Map every custom rule, hosted flow, and application-specific authentication dependency that would slow an exit from a maintenance-mode platform.
• Prioritise native multi-tenant support Require tenant isolation, delegated administration, and tenant-aware policy enforcement as baseline criteria for B2B and partner identity.
• Separate orchestration from application code Move login, MFA, recovery, and step-up logic into an orchestration layer so flow changes do not require repeated application rewrites.
• Extend CIAM governance to AI agents Define how non-human actors authenticate, obtain authorization, and inherit consent boundaries before agentic workflows reach production.
• Validate migration support before selection Test whether the replacement vendor offers documented import paths, onboarding assistance, and portable flow design for large identity estates.

Key takeaways

• Legacy CIAM becomes harder to defend once feature development stops, because technical debt and lifecycle risk compound together.
• Modern identity teams now need orchestration, tenant isolation, and support for non-human actors in the same platform strategy.
• The practical decision is no longer whether to modernise eventually, but how quickly to move before flow complexity and migration cost rise further.

Key terms

• Customer Identity And Access Management: Customer Identity and Access Management is the discipline of governing how external users sign in, recover access, and move through digital services. It combines authentication, profile management, and lifecycle control so organisations can deliver secure, low-friction experiences at scale.
• Identity Orchestration: Identity orchestration is the control layer that routes identity decisions across applications and environments instead of letting each system manage access independently. For agents, it is the mechanism that can centralise policy, auditing, and downscoping at runtime.
• Multi-tenant identity: Multi-tenant identity is an identity model that isolates users, roles, policies, and administration across separate customer or partner domains. It is essential when one platform serves multiple organisations, because it prevents privilege bleed, supports delegated administration, and keeps governance boundaries explicit.
• Agentic Identity: An agentic identity is a non-human identity used by an autonomous system that can act, call tools, and access data with execution authority. It needs the same governance discipline as other privileged identities, plus runtime context, ownership mapping, and revocation paths.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.