Shared responsibility accountability gaps
The contract may define responsibilities, but it does not define recovery governance across the boundary during an incident.
Cloud Resilience Governance
Cyturity helps organizations close the governance gap that cloud creates for resilience programs, where shared responsibility creates accountability ambiguity, recovery assumptions do not translate, and dependency drift regularly outpaces documentation.
The Problem
Cloud migrations are planned as infrastructure decisions. They often land as resilience governance problems.
When workloads move to cloud, the technical architecture changes. The resilience program often does not change at the same pace or urgency.
Recovery plans still describe old dependencies. Restore sequences no longer match the environment. Recovery time objective (RTO) and recovery point objective (RPO) assumptions were based on earlier constraints. Dependency maps miss cloud services, shared platforms, SaaS integrations, regions, managed services, and provider limits.
The result is a resilience program that looks current but is not.
What Gets Missed
The contract may define responsibilities, but it does not define recovery governance across the boundary during an incident.
RTO and RPO assumptions set before migration may not reflect cloud data volumes, restore sequence, replication, service limits, or regional capacity.
Workloads often span cloud providers, on premises systems, and SaaS platforms. The resilience program must govern recovery across boundaries.
Serverless functions, containers, managed databases, APIs, and cloud services create dependencies that traditional maps miss.
Cloud environments change faster than programs maintained on annual or quarterly review cycles.
The Cyturity Approach
Cloud resilience governance should define who owns recovery decisions, how shared responsibility works during disruption, what evidence stays current, and how cloud change triggers resilience updates.
We map provider services, SaaS platforms, cloud native components, regions, hybrid connections, and recovery dependencies.
We define who owns recovery coordination, provider escalation, evidence maintenance, and decision authority across the cloud responsibility boundary.
We assess recovery assumptions against multi region failover, provider service limits, restore sequence, cloud data volumes, and throughput constraints.
We define governance across multiple cloud providers, on premises systems, SaaS dependencies, and hybrid recovery paths.
We define operating rhythm, update cadence, testing cadence, and change management triggers that keep resilience aligned to cloud change velocity.
Where to Start
Assess ownership, evidence, decision flow, and operating gaps before choosing a remediation path.
Explore Advisory DiagnosticMap the systems, vendors, data, people, and facilities each critical service requires.
Explore Dependency MappingTest recovery under realistic conditions and produce evidence that the capability works.
Explore Recovery TestingThe Outcome
Cloud migrations create resilience governance debt when the recovery program does not keep up.
Organizations that govern cloud resilience continuously have better dependency visibility, stronger recovery assumptions, better evidence, and clearer executive reporting.
The cloud changed the infrastructure. The resilience program has to change with it, not after it already failed.
Start With One Meeting
Clarify where cloud change has outpaced dependency mapping, recovery assumptions, or decision ownership structure.
See What To Fix First