Delinea partner exchange frames StrongDM amid AI access shifts

At a glance

What this is: This is a Delinea partner webinar on roadmap updates, StrongDM positioning, and technical guidance for identity and infrastructure access in AI-driven environments.

Why it matters: It matters because partner guidance increasingly shapes how customers frame NHI governance, cloud infrastructure access, and AI-agent tooling decisions.

By the numbers:

• 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.
• NHIs outnumber human identities by 25x to 50x in modern enterprises.

👉 Register for Delinea's Technical Partner Exchange EMEA on StrongDM and AI access

Context

Identity security programmes are being pushed beyond user logins and into the operational control of service accounts, infrastructure access, and AI-driven workflows. In that environment, partner-facing guidance matters because implementation advice often determines whether teams treat non-human identity risk as a governance problem or as a set of isolated tool choices.

This webinar is structured as a technical partner exchange, which makes it a useful signal of where customer conversations are going. The agenda points to a market where cloud access, roadmap alignment, and AI-related infrastructure decisions are converging, and where partners are expected to explain StrongDM in operational rather than purely product terms.

Key questions

Q: How should security teams govern AI-driven infrastructure access?

A: Security teams should govern AI-driven infrastructure access with session-based mediation, short-lived credentials, and action-level policy checks. The goal is to make every request task-scoped, observable, and revocable. If the access model allows a system to keep broad standing privilege, the organisation is expanding NHI risk instead of controlling it.

Q: What is the difference between access convenience and access governance for NHIs?

A: Access convenience focuses on making connections easy, while access governance focuses on constraining what a non-human identity can do, for how long, and under which conditions. Convenience may reduce friction, but governance reduces blast radius. For NHIs, the distinction matters because automation can scale misuse faster than human admins usually can.

Q: When should organisations replace standing access with just-in-time controls?

A: Organisations should replace standing access with just-in-time controls when the identity can perform privileged or repeated infrastructure actions, or when the access path is shared across teams and environments. JIT access is most valuable when revocation speed, auditability, and least privilege are more important than constant availability.

Q: Why do AI-driven environments make identity governance harder?

A: AI-driven environments make identity governance harder because software can request, chain, and reuse access dynamically across systems. That creates a wider trust surface than a human-only workflow. Teams need runtime policy, strong logging, and short-lived access so the agent’s effective authority stays bounded.

Background and context

How infrastructure access control changes when NHIs become the primary actor

Infrastructure access is no longer just about humans connecting to systems through a bastion or VPN. In NHI-heavy environments, service accounts, automation jobs, and AI agents often initiate access, call tools, and inherit privileges across cloud and on-prem systems. That shifts the control problem toward session-based authorisation, short-lived credentials, and strong identity binding for machines. The architectural challenge is to prove who or what is acting, at what scope, and for how long. When those controls are weak, standing privilege and token reuse become the real exposure points rather than a single compromised login.

Practical implication: Map every infrastructure access path to an accountable non-human identity and remove any persistent privilege that is not operationally required.

Why AI-driven environments increase the need for runtime access governance

AI-driven environments introduce tools and workflows that can request access dynamically, chain actions, and interact with multiple systems in a single session. That makes static access models insufficient because the risk emerges at runtime, not at provisioning time. Security teams need controls that can inspect the requested action, constrain the session, and expire access once the task is complete. This is where least privilege, short-lived credentials, and policy evaluation become architectural requirements. Without that runtime layer, an AI system can accumulate effective power that was never intended in the original design.

Practical implication: Use runtime policy and session boundaries to ensure AI-mediated access remains task-scoped and time-limited.

What partner technical enablement should cover in cloud infrastructure access

Partner enablement should not stop at feature explanation. For cloud infrastructure access, practitioners need to understand how access is brokered, how identity is asserted across systems, and how logs support investigation after the fact. That includes the differences between direct credential distribution, federated access, and session mediation, all of which have different audit and revocation properties. The architectural lesson is that governance depends on visibility and control at the point of access, not only in the directory or vault. If partners cannot explain those trade-offs, customers will default to whatever is easiest to deploy, not what is easiest to govern.

Practical implication: Train delivery teams to explain access brokering, session logs, and revocation paths before a platform decision is made.

NHI Mgmt Group analysis

Partner education is becoming a control plane for NHI governance. When a webinar focuses on roadmap alignment, technical deep dives, and field success stories, it is really shaping how the channel explains access control to customers. That matters because partners often translate vendor capability into operational policy, especially in cloud infrastructure access and AI-driven environments. The practitioner takeaway is to treat partner guidance as part of the governance model, not just as sales support.

StrongDM-style infrastructure access conversations are increasingly about runtime control, not remote access convenience. The market is moving toward session-level mediation, short-lived access, and auditable control over machine-initiated workflows. That is consistent with the direction of NHI governance, where the problem is not only who can connect, but what a non-human identity can do once connected. Practitioners should evaluate whether access tooling supports task-scoped control and clean revocation.

AI-driven environments are creating an identity blast radius problem. Once automation can invoke tools across multiple systems, one mis-scoped permission can spread across infrastructure faster than a human operator would. That makes policy design, logging, and revocation speed more important than broad platform coverage. The practitioner conclusion is to design for containment first and convenience second.

The channel will increasingly be judged on whether it can explain machine access in governance terms. Customers do not need another abstract promise about identity security. They need to know how a platform limits standing privilege, supports auditability, and reduces the trust assumptions around service accounts and AI agents. The practical implication is that partner readiness now includes identity governance literacy, not only product certification.

From our research:

• Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
• Use Ultimate Guide to NHIs , The NHI Market to frame vendor and tooling choices around governance, not feature checklists.

What this signals

Identity governance will increasingly be evaluated at the session layer. In practice, that means customers will expect partners to explain how access is brokered, how it is logged, and how quickly it can be revoked. For teams modernising infrastructure access, the real test is whether the programme can reduce standing privilege without creating operational dead ends.

Runtime control is becoming the defining requirement for machine access. Once AI systems and automation can initiate their own workflows, static entitlements stop being enough. Practitioners should watch for stronger emphasis on task-scoped permissions, policy evaluation at request time, and revocation workflows that work across cloud and infrastructure tools.

With 97% of NHIs carrying excessive privileges, per the Ultimate Guide to NHIs, access programmes cannot afford to treat machine identities as a secondary governance issue. The practical signal is that organisations should align identity, infrastructure, and AI operating models before tool sprawl creates a larger containment problem.

For practitioners

• Classify every infrastructure access path Separate human-admin access, service account access, and AI-mediated access paths so each can be governed with the right policy, session length, and revocation process. This is the minimum starting point before any platform rollout.
• Require session mediation for elevated operations Prefer access patterns that broker the session rather than distributing long-lived credentials directly to operators or automation. The control goal is to reduce standing privilege and preserve an auditable trail.
• Build partner-facing runbooks for AI-driven access Document how access requests are approved, constrained, logged, and revoked when an AI system interacts with infrastructure tools. Without that operational detail, teams cannot govern the workflow consistently.
• Tie roadmap reviews to governance outcomes Ask whether roadmap changes improve visibility, revocation speed, and least-privilege enforcement for non-human identities, not just whether they add new integrations.

Key takeaways

• Infrastructure access for NHIs is shifting from convenience to governance, with session control and revocation becoming the key design criteria.
• AI-driven workflows raise the risk of dynamic privilege accumulation, so runtime policy matters more than static access provisioning.
• Partner enablement now influences governance outcomes because channel guidance often determines how customers operationalise machine access.

Key terms

• Non-Human Identity: A non-human identity is any digital identity used by software, infrastructure, or automation instead of a person. That includes service accounts, API keys, tokens, certificates, bots, workloads, and AI agents. These identities need lifecycle control, visibility, and least privilege because they can act at machine speed.
• Session Mediation: Session mediation is the practice of brokering access through a controlled session instead of handing out long-lived credentials directly. It creates an audit trail, limits exposure time, and makes revocation practical. For NHI governance, it is often the difference between manageable access and unmanaged privilege.
• Standing Privilege: Standing privilege is access that remains continuously available after it is granted. In NHI environments, it is especially risky because machine identities can use persistent rights repeatedly without fresh approval. Reducing standing privilege is one of the most effective ways to shrink blast radius and improve containment.
• Runtime Policy: Runtime policy is the set of rules evaluated when an identity actually requests or uses access, rather than only when it is provisioned. In AI and NHI governance, runtime policy helps constrain task scope, session duration, and allowed actions. It is essential when access decisions must respond to live context.

Deepen your knowledge

NHI infrastructure access governance is a core topic in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building controls for service accounts, automation, or AI-driven workflows, it is worth exploring.

This post draws on content published by Delinea: Technical Partner Exchange EMEA, first edition of the partner webinar series. Read the original.