The DR ownership gap is the hidden failure in cyber resilience

At a glance

What this is: This is an analysis of the DR ownership gap, where component-level backup ownership does not equal business-level recovery ownership.

Why it matters: It matters because IAM, NHI, cloud and network teams may each restore their own systems successfully while the business still remains down if dependencies and recovery order are not coordinated.

Context

Disaster recovery breaks when organisations confuse system ownership with recovery ownership. In cloud and identity-heavy environments, the business depends on multiple layers, including infrastructure, identity, DNS, observability, SaaS and configuration, and each layer can fail recovery even if its backup exists.

The article's core governance problem is coordination across those layers, not the absence of technical owners. That makes the topic highly relevant to IAM, NHI and resilience programmes because identity state, access policy and configuration recovery can determine whether restored systems are actually usable.

Key questions

Q: What breaks when disaster recovery is owned only at the system level?

A: System-level ownership breaks down when each team restores its own component without a shared recovery sequence. The database may come back, but the identity policy, DNS rule or cloud configuration it depends on may not match. The result is a technically restored environment that still cannot support the business service.

Q: Why does configuration drift create more risk than a single bad setting?

A: A single bad setting is visible and usually removable. Drift is more dangerous because it accumulates silently across many small changes, making the documented policy less and less accurate over time. By the time an issue is obvious, the organisation may already be relying on a weakened control model.

Q: How do organisations know whether their disaster recovery plan is actually working?

A: They test whether critical services can be restored within the stated RTO and RPO, whether the right people can access the right systems, and whether runbooks can be executed in order. A working DRP produces evidence from drills, not just confidence from documentation. If teams need improvisation, the plan is not yet reliable.

Q: Who should be accountable for coordinated recovery across cloud and identity teams?

A: Domain teams should remain accountable for their own cloud, identity, network and application recovery tasks, but a resilience lead or equivalent function must own the cross-domain outcome. That role validates dependency order, tests handoffs and confirms that the business-defined recovery objective is achievable.

Technical breakdown

Why component backup does not equal disaster recovery

A backup can preserve data for one system while leaving the broader service unrecoverable. Disaster recovery requires compatible restoration across data, infrastructure, identity, networking and application state, because each layer may depend on the others to function. If one team restores a database to one point in time, another restores infrastructure to a different state, and identity or DNS are not aligned, the recovered service may still be unusable. The technical issue is not failure of a single control. It is incompatibility between independently successful recovery actions.

Practical implication: treat recovery as a dependency graph, not a list of isolated restore jobs.

Configuration drift is the hidden recovery dependency

Configuration is often the least visible recovery layer because it lives partly in Infrastructure as Code, partly in SaaS settings, and partly in manual changes made through consoles or APIs. When those settings are not versioned and recoverable, teams can restore assets but not operating state. A valid database, for example, may still be unreachable if an identity policy, network rule or observability setting changed before the incident. This is why configuration drift matters in recovery planning: it creates gaps between what was backed up and what the business actually needs restored.

Practical implication: version and test critical configuration alongside data so restore points reflect a known-good operating state.

Why identity and network recovery order matters

Recovery sequence matters because some dependencies must exist before others can safely come back. Identity may need to be trusted before administrators can access systems. DNS and core connectivity may need to return before applications are reachable. Observability may need to recover early so teams can validate the environment as it comes back online. None of these dependencies are universal in the same order, but the principle is consistent: restoration order is determined by business service dependencies, not by whichever team finishes first.

Practical implication: define and test recovery order for identity, DNS, infrastructure and monitoring before an incident forces the decision.

Threat narrative

Attacker objective: The objective is to make the organisation unable to recover the business service cleanly, either by corrupting trust in dependencies or by forcing conflicting restoration states.

1. Entry begins when attackers reduce visibility and disrupt normal operating awareness, making it harder for teams to understand what changed and what remains trustworthy.
2. Credentialed or configuration access is then used to target backups, identity controls or recovery dependencies so that restoration work itself becomes unreliable.
3. Escalation occurs when the business loses confidence in which identity state, network rule or cloud configuration should be restored first, turning technical recovery into a coordination failure.
4. Impact is a delayed or failed return to service even when individual teams have completed their own recovery tasks.

Breaches seen in the wild

• Cloudflare Thanksgiving breach 2023: One service token and three service accounts left unrotated after the Okta breach gave a nation-state attacker access to Cloudflare's Atlassian systems.
• Okta support system breach 2023: A support service account credential saved in a personal Google profile let attackers take HAR files and hijack five Okta customers' sessions.

Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Disaster recovery is an orchestration problem, not a backup problem. Organisations often measure recovery readiness by whether each system has an owner and a restore process, but that does not answer whether the business can come back as a whole. The failure mode is fragmented accountability across cloud, identity, network and application teams. Practitioners should treat coordinated recovery ownership as a governance layer above individual technical owners.

The DR ownership gap is really a dependency visibility gap. If teams cannot map which identity policies, DNS rules, SaaS settings and cloud configurations must return together, they cannot prove recoverability. This is especially relevant where identity systems such as Entra ID or Okta sit on the critical path for administrator access and application access. The operational conclusion is that recovery plans must be built around dependency order, not team silos.

Configuration state has become part of the recovery asset. Traditional backup thinking emphasises data, but the article shows that infrastructure policy, access policy and service configuration can determine whether restored systems actually function. That creates a named concept worth tracking: configuration recoverability, meaning the ability to restore the operating settings that make recovered assets usable. Practitioners should manage configuration as a recoverable control surface, not as incidental metadata.

Cyber resilience programmes need a business-defined recovery sequence. The article correctly pushes the decision upward: the business sets what must return first, and technology teams prove that the required dependencies can support that outcome. That aligns with NIST-style contingency planning and recovery prioritisation, but the practical shift is cultural. Resilience leadership should force teams to test how identity, network and cloud dependencies recover together before a real outage does it for them.

Centralising everything under the CISO would miss the point. The better model is coordinated recovery accountability, where domain owners keep their technical responsibilities while a resilience function validates the cross-domain outcome. That avoids the common failure of assuming one control owner can see across every restore path. The practitioner conclusion is to govern the handoffs, not just the individual systems.

What this signals

Recovery readiness now depends on cross-domain dependency mapping. A resilient programme cannot stop at backup completion or service ownership charts. It has to show which identity, DNS, cloud and observability components must return first for a critical service to work, and then prove that sequence in exercises.

Configuration recoverability is becoming a control objective in its own right. The practical lesson for cloud and IAM teams is that policies, roles, rules and settings need versioned recovery points just as much as data does. Without that layer, restore success and business success will keep diverging.

For practitioners

• Map the full recovery dependency chain Document which identity, DNS, cloud, SaaS, observability and data services must recover before each critical business service can return.
• Test cross-team recovery sequences Run recovery exercises that force cloud, identity, network and application owners to restore together and in order, not in isolation.
• Version and protect configuration states Treat identity policies, network rules, observability settings and cloud configuration as recoverable assets with known-good versions and recovery points.
• Assign recovery decision authority explicitly Name who decides when a service is safe to return, which dependencies must be validated, and what evidence is required before cutover.
• Validate business recovery priorities first Start with the minimum viable business service set, then work backward to the systems and access layers required to support it.

Key takeaways

• The article shows that disaster recovery fails when organisations confuse component ownership with coordinated service recovery.
• Recovery problems often emerge at the handoffs between identity, cloud, network and application teams rather than inside any single platform.
• The most effective control is a business-defined recovery sequence that treats configuration, identity and dependency order as part of recovery readiness.

Key terms

• Disaster Recovery Ownership Gap: The disaster recovery ownership gap is the mismatch between having separate owners for backup, identity, infrastructure, and applications, and having no single owner for the combined recovery outcome. It becomes visible when each team restores its part successfully, but the business still cannot return because the dependencies were never coordinated.
• Configuration Recovery: Configuration recovery is the ability to restore the cloud settings, access controls, and service dependencies needed to make applications run again. It goes beyond data backup by preserving the operating state of infrastructure, identity, network, and security components so teams can return to a known-good environment after an outage or change.
• Recovery sequencing: The ordered restoration of dependent systems so that applications come back in a working state rather than as disconnected components. In MEDITECH environments, sequencing matters because clinical workflows depend on databases, services, and integrations returning in the right order.
• Known-good State: A known-good state is a configuration snapshot taken when the application was working as expected. It gives incident teams a trusted reference point for restoration, especially when multiple humans, scripts, and automation paths can alter production settings.

Deepen your knowledge

NHI Foundation Level course covers NHI governance, machine identity security and secrets management, alongside the NHI Foundation Level course, the industry's only accredited NHI security programme. It helps identity and security practitioners connect recovery, access and lifecycle decisions to operational resilience.