Gateway-based identity control for SAML, AI agents, and PQC

At a glance

What this is: This is a Ping Identity analysis of how a gateway can help agencies mediate legacy SAML, AI agent access, and quantum-safe migration in one control point.

Why it matters: It matters because IAM teams now have to govern human, non-human, and increasingly autonomous access paths without assuming browser-era sessions or static cryptography will remain sufficient.

By the numbers:

• When AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes and as quickly as 9 minutes in some cases.
• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
• Only 5.7% of organisations have full visibility into their service accounts.
• 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures.

👉 Read Ping Identity's analysis of gateway controls for SAML, agentic AI, and PQC

Context

A gateway is an edge control point that can authenticate, authorise, route, and monitor requests before they reach applications and services. In this article, Ping Identity frames that control point as the practical way to bridge SAML-era identity, agentic AI access patterns, and post-quantum migration without forcing a big-bang replacement.

The identity gap is not just technical debt. Government environments still rely on human-paced federation and classical cryptography, while AI agents act at machine speed and quantum migration now reaches the identity layer, so the access model itself has to change before backend systems can be modernised.

For identity teams, the challenge is to preserve mission continuity while narrowing standing trust at the edge. That makes the gateway relevant to NHI governance, delegated access, and protocol transition all at once, especially where legacy applications cannot yet speak modern identity natively.

Key questions

Q: How should security teams govern AI agent access in legacy SAML environments?

A: They should keep SAML for what it does well, but move decision-making to the request path. AI agents need short-lived, purpose-bound access, explicit delegation, and policy checks before they reach protected services. A human login at session start is not enough to authorise every agent action across tools and APIs.

Q: What breaks when organisations rely on SAML alone for agentic AI?

A: The failure is contextual blind spots. SAML can identify a session, but it cannot by itself distinguish the initiating person, the agent acting on their behalf, the resource requested, and whether the action is appropriate right now. That gap creates confused-deputy risk and broad inherited access.

Q: When should agencies prioritise gateway controls over full application replacement?

A: They should prioritise the gateway when mission systems must stay online and the application estate cannot be modernised all at once. The gateway buys control at the edge, centralises policy, and allows phased migration. It does not eliminate backend work, but it makes the transition governable.

Q: How can teams tell whether a gateway is actually improving identity security?

A: Look for narrower standing access, policy enforcement before backend exposure, clearer audit trails for each request, and a documented inventory of remaining SAML and cryptographic dependencies. If requests still reach applications without edge policy or if ownership is unclear, the gateway is only partial protection.

Technical breakdown

Why SAML federation breaks under agentic AI access

SAML was designed for browser-based federation and human sign-on, where a user authenticates once and then performs a bounded sequence of actions inside a session. AI agents do not behave that way. They call tools, move across services, and choose actions at runtime, which means a single assertion at session start cannot describe the real authorisation context for each request. The core issue is not that SAML is insecure by definition, but that it is poorly matched to delegated machine behaviour and action-scoped access. Runtime policy enforcement therefore has to sit closer to the request path than classic login-centric federation.

Practical implication: Treat SAML as a boundary protocol for legacy apps, not as the decision point for agent-to-service authorisation.

How a gateway mediates legacy and modern identity

An identity gateway functions as a reverse proxy and policy enforcement point in front of applications, APIs, and services. It can accept a modern token or request context, evaluate policy at the edge, and then translate the approved transaction into the credential form a legacy backend still understands, such as SAML assertions, headers, or cookies. That mediation matters because it allows teams to keep older applications online while centralising authentication, authorisation, logging, and traffic controls. The architectural value is that the public entry point becomes stable even when backend identity mechanisms are still mixed.

Practical implication: Use the edge to centralise enforcement while you phase legacy backends toward modern protocols.

Why PQC readiness is an identity inventory problem

Post-quantum readiness is not a simple cipher swap. In a SAML stack, the TLS connection, XML signatures, XML encryption, certificates, identity provider libraries, service provider dependencies, and application code may all rely on classical cryptography in different ways. That means quantum-safe migration has to cover the entire transaction path, not just the outer transport layer. If one dependency still relies on vulnerable asymmetric cryptography, the environment remains exposed even if another segment has been upgraded. Identity leaders therefore need a full cryptographic inventory before they can claim meaningful PQC progress.

Practical implication: Inventory every signing, encryption, and federation dependency before declaring any SAML path quantum-ready.

Threat narrative

Attacker objective: The objective is to turn a trusted identity path into a broad, reusable route into legacy and modern services without forcing repeated authorisation checks.

1. Entry occurs through a trusted federation or agent access path that still assumes a human-paced login model or classical cryptographic trust.
2. Escalation occurs when the actor uses broad standing access, confused-deputy behaviour, or a weakly bounded session to reach downstream services that were never meant to be directly exposed.
3. Impact is achieved when multiple application, certificate, and protocol dependencies inherit the same trust failure, allowing access, data movement, or command execution at scale.

Breaches seen in the wild

• CoPhish OAuth Token Theft via Copilot Studio — CoPhish campaign exploits Microsoft Copilot Studio agents to steal OAuth tokens via AI-assisted phishing.
• Moltbook AI agent keys breach — Moltbook breach exposed 1.5M AI agent keys.

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

NHI Mgmt Group analysis

Legacy federation becomes a liability when it is treated as a universal authorisation layer. SAML still has a place for browser-era applications, but it cannot describe the full context of agent-driven requests or machine-speed delegation. The article correctly points to the edge because authorisation now has to follow the request path, not sit only at login. The practitioner conclusion is that identity architecture must distinguish session establishment from action approval.

The same control point can solve two problems only if teams stop treating them as separate programmes. Agentic AI access and PQC migration both expose the weakness of static trust assumptions, even though one is about runtime behaviour and the other is about cryptographic durability. That overlap matters because the gateway is being positioned as a policy boundary, not a replacement for backend modernisation. Practitioners should use that boundary to sequence change without pretending the legacy stack has already been fixed.

Runtime policy enforcement is becoming the named concept that replaces static session trust. In this model, the useful control is not simply who authenticated, but what the request is trying to do, on whose behalf, and against which resource right now. That is a better fit for AI agents, service integrations, and mixed legacy estates than broad standing access. The implication is that access governance has to move from coarse trust inheritance to per-request evaluation.

Quantum readiness at the identity layer exposes a governance gap, not just a cryptographic one. Certificates, assertions, and federation dependencies are often managed as separate technical artifacts, but the article shows they form one interdependent trust chain. When those dependencies are undocumented or unevenly owned, migration stalls at the point where accountability should be clearest. Practitioners need a single inventory and ownership model for the whole identity path.

Agencies that keep legacy applications online behind a gateway are buying time, not absolution. The gateway can reduce exposure and centralise control, but it does not make downstream SAML assertions or classically protected links magically quantum safe. That distinction is easy to miss and expensive to ignore. The right reading is that edge control creates a staged transition model, while backend modernisation still has to be executed separately.

From our research:

• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, which means most identity teams cannot reliably scope the blast radius of machine access.
• For a broader governance baseline, see Ultimate Guide to NHIs , What are Non-Human Identities for the lifecycle and inventory model that underpins edge control.

What this signals

Runtime policy enforcement is becoming the operating model, not a feature choice. Once AI agents and legacy federation share the same access path, teams need a control point that can inspect request context before the backend is touched. That makes edge governance a practical bridge between human identity, NHI, and delegated machine behaviour, especially where applications cannot be rewritten quickly.

Identity teams should expect the cryptographic inventory to become part of the access inventory. SAML assertions, certificates, TLS links, internal libraries, and backend trust relationships all become migration dependencies when PQC planning reaches production. The practical change is that IAM and crypto ownership can no longer be split across disconnected teams without slowing the programme.

Edge control only works if lifecycle control keeps pace behind it. A gateway can reduce exposure, but the real win comes when service accounts, agent credentials, and legacy federation dependencies are inventoried, rotated, and retired in step with application modernisation. That is where the programme turns from containment into measurable reduction of trust debt.

For practitioners

• Map the full identity transaction path Inventory identity providers, service providers, certificates, signing and encryption algorithms, libraries, and backend dependencies so you know which segments still rely on classical trust or legacy federation.
• Move authorisation into the request path Require policy checks at the edge for agent and service requests so a single login event does not grant broad standing access across multiple tools and applications.
• Separate gateway protection from PQC claims Treat gateway deployment as a control and visibility layer, then track each downstream assertion, certificate, and internal connection that still needs cryptographic modernization.
• Reduce inherited privilege for agentic workflows Bind each AI agent or delegated workflow to purpose-scoped access, short-lived credentials, and auditable request records rather than reusing a person’s broader session rights.
• Sequence modernisation in waves Place the highest-risk internet-facing or partner-facing applications behind the gateway first, then retire translation paths and legacy trust components as each backend is upgraded.

Key takeaways

• Legacy SAML environments are colliding with agentic AI and PQC at the same time, so identity architecture has to shift from login-centric trust to request-centric control.
• The main evidence of exposure is not one weak component but the entire chain of certificates, assertions, libraries, and backend dependencies that still rely on classical assumptions.
• A gateway can buy control at the edge, but practitioners still need inventory, delegated access governance, and phased cryptographic migration behind it.

Key terms

• AI Identity Gateway: An AI identity gateway is a policy enforcement layer placed between agents and resources. It downscopes credentials, centralises access decisions, and prevents the agent from holding broad reusable privileges that would otherwise accumulate across tools and workflows.
• Runtime Policy Enforcement: Runtime policy enforcement evaluates a request at the moment it is executed instead of relying only on preconfigured permissions. For AI agents, this allows decisions to reflect current context, target sensitivity, and behavioural signals rather than static assumptions.
• Post-Quantum Cryptography: Cryptographic algorithms designed to remain secure against attacks from sufficiently powerful quantum computers. In practice, PQC is a migration problem as much as an algorithm problem because organisations must replace trust anchors, certificates, and secrets without breaking identity-dependent systems.
• Confused Deputy: A confused deputy is a privileged system that is tricked into performing an action on behalf of an untrusted requester. In agentic AI, the agent may misread malicious input as legitimate intent and then use its own authority to act, which turns a logic problem into a security incident.

What's in the full article

Ping Identity's full article covers the operational detail this post intentionally leaves for the source:

• How the gateway mediates OAuth 2.0, OIDC, SAML assertions, headers, and cookies in mixed estates
• The phased migration roadmap for inventorying certificates, signing algorithms, and backend trust relationships
• Specific edge enforcement patterns for AI agent requests before they reach protected APIs
• How agencies should separate gateway protection from end-to-end PQC compliance

👉 Ping Identity's full article covers the edge enforcement model, migration waves, and identity-layer PQC dependencies in more detail.

Deepen your knowledge

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