Understanding cyber resilience

Most discussions about cyber resilience start with security. In practice, resilience is just as much about operations.

A cyber incident may begin with compromised credentials, ransomware, a cloud service failure or a third-party disruption, but the effects are often felt across the business. Customers may lose access to services. Employee productivity may be disrupted. Supply chains may slow down. Revenue-generating processes may stop. Trust may be affected.

This is why cyber resilience has become an important business capability rather than a purely technical one.

Cyber resilience is the ability to maintain and restore essential services when disruption affects the technology, data or operations that support them. It combines cybersecurity, business continuity, incident response, disaster recovery and operational resilience into a coordinated approach focused on business outcomes.

Many organizations have hundreds or even thousands of applications, servers and infrastructure components. Not all of them carry the same level of business importance. A customer payment platform, for example, may have a very different impact profile than an internal collaboration tool.

Cyber resilience helps organizations understand which services matter most, what those services depend on and which recovery actions should happen first during disruption.

It also helps organizations move beyond a traditional view of recovery. Backups, infrastructure restoration and disaster recovery plans are still important, but they are only part of the picture. Recovery ultimately needs to answer a broader question: Can the organization restore its most important operations safely and within business requirements?

A service may technically be available again, but that does not always mean it is ready to support customers, employees or business processes. Data needs to be trustworthy. Dependencies need to be functioning. Recovery actions need to be validated. Business stakeholders need confidence that operations can resume safely.

There is an important difference between having a recovery plan and being ready to recover. A recovery plan describes what should happen. Recovery readiness demonstrates whether the organization can execute those plans under realistic conditions.

Why cyber resilience matters in 2026

Cyber disruption is no longer a technology issue that sits on the edge of the business. For many organizations, it has become a direct business risk.

Most enterprises now operate across a mix of cloud platforms, data environments, business applications, identity services, networks and external providers. These systems are deeply interconnected, so disruption in one part of the environment can quickly affect operations, service availability and business continuity.

That is why cyber resilience has become less about preparing for isolated incidents and more about understanding whether the business can continue and recover when disruption occurs.

However, in reality, many organizations are still operating with a gap between preparedness and resilience. The 2025 Kyndryl Readiness Report notes that only 31% of organizations feel ready across external business risks¹, while 82% experienced a cyber-related outage in the reported year² and 3 in 5 still do not feel their IT is ready to manage future risks³.

An organization may have security controls, documented procedures and recovery plans. That does not automatically mean it can recover critical services within business requirements. The real test comes when disruption affects operations and leaders need to make decisions under pressure.

Technology complexity is making that challenge harder. Many organizations are managing hybrid and multicloud environments, aging infrastructure, increasing regulatory requirements and growing dependence on third-party providers. AI is introducing new dependencies on data, automation and machine identities. Data sovereignty requirements are influencing where data can be stored, moved and recovered.

For resilience teams, the challenge is rarely a single failed component. It is understanding how services depend on one another and how recovery decisions in one area affect operations elsewhere.

This is why cyber resilience has become a board-level concern. Executives want to know whether essential services can remain available, how quickly operations can recover and whether recovery expectations align with business priorities.

Cyber resilience vs. cybersecurity

Cybersecurity and cyber resilience are closely connected, but they are designed to solve different problems.

Cybersecurity focuses on reducing the likelihood of compromise. It aims to protect systems, applications, networks and data from threats through controls such as identity management, threat detection, vulnerability management and data protection.

Cyber resilience takes a wider view. It focuses on how the organization continues to operate when disruptions affect critical services and how those services can be restored afterward.

A practical way to think about the relationship is: Cybersecurity helps reduce risk. Cyber resilience helps reduce business impact.

An organization can have strong cybersecurity controls and still experience disruption. When that happens, resilience becomes the deciding factor.

Dimension	Cybersecurity	Cyber resilience
Primary focus	Protecting systems, applications and data	Sustaining and recovering critical business services
Main question	How can risk be reduced?	How can operations continue through disruption?
Scope	Security controls, detection and response	Security, continuity, response, recovery and operational resilience
Time horizon	Before and during an incident	Before, during and after disruption
Success measure	Reduced exposure to threats	Reduced business impact and successful recovery
Business lens	Protect technology assets	Protect business outcomes and trusted operations

 

The strongest organizations bring both disciplines together. Security teams help reduce the likelihood and impact of incidents. Resilience capabilities help ensure that disruption does not become prolonged business disruption.

Neither capability replaces the other. Each becomes more effective when it supports the other.

What is the cyber resilience framework and the cyber resilience operating model

Building cyber resilience is rarely about introducing a single technology or strengthening one security capability. It requires a coordinated approach that helps the organization prepare for disruption, respond effectively when it happens and recover business with confidence.

This is where a cyber resilience framework and operating model become valuable.

The framework provides structure. It organizes the capabilities needed to reduce business impact and improve resilience over time.

The operating model puts that structure into practice. It defines how people, processes, technology and governance work together before, during and after disruption.

Together, the framework and operating model help organizations align resilience efforts around the services that matter most and continuously improve their ability to manage disruption.

Aligning closely with the National Institute of Standards and Technology (NIST) guidance, the cyber resilience framework integrates the four connected capabilities: anticipate, protect, withstand and recover.

Anticipate

Start by identifying critical business services and then map the applications, data, infrastructure, cloud environments, identity services and third-party providers that support them. Looking at services rather than individual systems gives organizations a clearer picture of where disruption could have the greatest operational impact. 

This visibility also helps uncover hidden dependencies that may only become apparent during an incident. Understanding those relationships early makes it easier to prioritize resilience investments and recovery planning around the services that matter most.

Protect 

Protection focuses on reducing the likelihood of disruption and limiting its impact if an incident occurs.

This includes capabilities such as identity and access management, data protection, infrastructure hardening, network security and continuous monitoring. Within a resilience framework, these measures are prioritized by business impact rather than applied uniformly across all assets.

Protection also extends to recovery environments, backups and the systems that support recovery itself. Ensuring these capabilities remain secure and available helps preserve recovery options when production environments are affected.

Withstand 

No organization can prevent every incident. The ability to withstand disruption depends on how effectively people, processes and technology work together during the incident.

Technical response is one part of that effort. Business leaders need visibility into operational impact, communications teams need to coordinate stakeholder updates, and recovery teams need to understand which services to prioritize.

Organizations that practice these activities before an incident are generally better equipped to maintain critical operations, adapt to changing conditions and make informed decisions under pressure.

Recover 

Recovery is where resilience becomes tangible.

Restoring technology is important, but restoring trusted operations requires more than bringing systems back online. Modern enterprises often depend on multiple systems recovering in the right sequence, data being validated, and business processes functioning as expected before operations can resume.

Recovery exercises provide an opportunity to test these assumptions, validate recovery capabilities and identify improvements before they are needed during a real incident. Over time, lessons learned from recovery feed back into planning and strengthen resilience across the organization.

Together, these four capabilities create a continuous resilience lifecycle. Insights gained while anticipating risks influence protection priorities. Experience from responding to incidents improves future preparedness. Recovery strengthens planning for the next disruption.

The framework provides the structure. The operating model enables that structure to work in practice. The outcome is an organization that is better prepared to recover trusted operations and adapt as business priorities, technologies and risks continue to evolve.

How to build a cyber resilience strategy

A cyber resilience strategy is the practical roadmap that turns resilience goals into action.

While every organization has a different approach, the strongest strategies tend to follow a similar progression. They begin with the business services that matter most and work outward from there, building visibility, recovery capabilities and operational readiness around those priorities.

The most useful starting point is a simple question:

If disruption affects the organization tomorrow, which services need to keep running, and how quickly would they need to recover?

Everything else flows from that understanding.

1. Define critical business services

Start with the services that matter most to operations, customers, revenue, compliance and trust. Prioritize the services whose disruption would create the greatest business impact. The goal is not to catalog every application, but to identify what must keep running or recover first.

2. Map dependencies

Map the applications, data, cloud platforms, infrastructure, networks, identities, third parties and teams behind each critical service. This reveals hidden risks such as legacy systems, single suppliers or untested recovery paths. Dependency visibility helps teams make better protection and recovery decisions.

3. Set impact tolerances and recovery expectations

Define how much disruption each critical service can tolerate. Set recovery expectations for downtime, data loss and business impact. RTO and RPO targets should reflect business needs and be tested against actual recovery capability.

4. Assess resilience maturity and risk scenarios

Evaluate readiness against realistic scenarios such as ransomware, cloud outages, data corruption, identity compromise, third-party disruption and AI-related failures. The goal is to understand how people, processes and technology perform together during disruption. This helps identify strengths, gaps and priority areas for improvement.

5. Design resilience measures around critical services

Strengthen resilience where business impact is highest. Measures may include identity controls, segmentation, protected backups, immutable recovery copies, infrastructure modernization, cloud resilience and third-party continuity planning. The focus should stay on critical services, not controls applied equally everywhere.

6. Build response and recovery playbooks

Create practical playbooks that guide teams during disruption. Define roles, escalation paths, decision authority, communications, recovery priorities, technical steps and validation requirements. The best playbooks are simple enough to use in a crisis and specific enough to support coordinated action.

7. Train, test and validate readiness

Use tabletop exercises, technical recovery tests, crisis simulations and service recovery drills to validate readiness. Testing shows whether plans, teams and recovery processes work under realistic conditions. It also helps teams prove whether they can recover business-critical services within expected timeframes.

8. Improve continuously

Cyber resilience must evolve as business priorities, technology environments, threats and regulations change. Use lessons from incidents, tests, audits and modernization work to refine the strategy. Continuous improvement keeps resilience aligned with current business risk.

Cyber resilience use cases

Frameworks and strategies are useful, but resilience becomes easier to understand when viewed through real-world scenarios.

While every organization faces different risks, several common situations highlight why cyber resilience has become such an important capability.

Ransomware attacks

Ransomware can encrypt, corrupt or block access to systems and data that businesses depend on. The risk is not limited to the infected environment; it can affect service availability, data integrity and recovery sequencing. Teams need to know which services are exposed, which systems to isolate and which recovery points can be trusted. A tested recovery path helps restore priority services in the right order while limiting business impact.

Hybrid cloud outages

Modern services often depend on applications, data, identity services, networks and infrastructure spread across cloud and on-premises environments. A disruption in one platform, region or dependency can affect multiple business processes. Clear dependency mapping gives teams the visibility to prioritize affected services, activate workarounds and sequence recovery across environments. Success is measured by continuity of service, not simply by restoring infrastructure.

Third-party disruption

Many services rely on cloud platforms, SaaS applications, telecommunications providers, logistics partners and managed service providers. When one provider experiences disruption, the impact can extend across the business even if internal systems are still working. Organizations need to know which providers support services, what alternatives exist and how the response will be coordinated. The objective is to manage third-party impact before it becomes a wider operational issue.

Identity compromise

Identity systems support application access, cloud services, privileged accounts, employee productivity and machine-to-machine connections. When identity is compromised or unavailable, users, administrators and applications may lose trusted access simultaneously. Preparation includes mapping identity dependencies, defining emergency access procedures, isolating compromised accounts and restoring verified access safely. The aim is to prevent identity disruption from becoming a broader operational outage.

AI-related operational risk

AI-enabled workflows may depend on data pipelines, automated decisions, machine identities, APIs and external model providers. If any of these elements become unavailable, unreliable or manipulated, the business processes that rely on them may be affected. Organizations should understand where AI supports the business, what those workflows depend on and what fallback options are available. The objective is to maintain trust, continuity and recoverability as AI becomes part of core operations.

What changes next: AI and emerging cyber resilience risks

The core principles of cyber resilience have not changed. Organizations still need to understand what matters most, protect core services, manage disruption and recover trusted operations.

What has changed is the environment those capabilities need to support.

Technology ecosystems are becoming more interconnected. Data is distributed across multiple environments. Business processes increasingly depend on automation. Regulatory requirements continue to evolve. As a result, resilience planning now extends beyond traditional cybersecurity concerns.

AI is becoming part of the operating environment

AI is moving from experimentation into daily functions, supporting workflows, decisions, customer experiences and security operations. When AI supports a critical service, organizations need to understand the data, models, APIs, providers, access controls and fallback options behind it.

The resilience question is not only whether the AI system works. It is whether the business process can continue or recover if AI outputs become unreliable, unavailable or need to be paused.

Agentic systems create new operational dependencies

Agentic AI systems can make decisions, use tools and perform tasks with varying levels of autonomy. That creates new questions around access, authorization, oversight, logging and containment.

From a resilience perspective, organizations need to know what these systems can do, which services they affect and how to recover if their actions create unexpected disruption.

Data sovereignty is becoming a resilience consideration

Data sovereignty affects more than compliance. It can influence where data is stored, who can access it and how recovery can be performed.

A recovery approach that works in one region or cloud environment may not work in another if data movement, storage or access is restricted. Resilience planning should account for these requirements before disruption occurs.

Infrastructure readiness still matters

Emerging technologies often get the attention, but vital systems still depend on applications, networks, storage, servers, identity platforms and cloud infrastructure.

If those components are outdated, unsupported or poorly understood, recovery becomes slower and less predictable. Resilience planning needs to account for both modern platforms and legacy environments that remain essential to daily operations.

How to measure cyber resilience

Cyber resilience is ultimately measured by outcomes.

Many organizations can point to policies, plans, controls and recovery procedures. Those capabilities are important, but they do not necessarily indicate whether resilience is working.

The strongest measures focus on whether the business can continue operating or recover within its requirements.

Recovery Time Objective (RTO)

RTO defines how quickly a service needs to recover following disruption. It provides a target for recovery efforts and helps establish priorities across services.

Recovery Point Objective (RPO)

RPO defines the amount of data loss the business can tolerate. Different services often have different requirements. Some may tolerate a degree of data loss. Others may require near-continuous protection.

Actual recovery performance

Targets are useful, but actual performance provides a more accurate picture of readiness. Organizations should understand how long recovery takes during exercises and real-world events, not just how long it is expected to take. The difference between planned recovery and demonstrated recovery often reveals important resilience gaps.

Detection and response speed

The earlier disruption is identified, the more options are available. Metrics such as Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR) help organizations understand how quickly they can identify, contain and recover from incidents. These measures provide insight into operational effectiveness during disruption.

Recovery validation

One of the most valuable resilience measures is recovery validation. Recovery plans may exist for many services. Validation demonstrates whether those plans actually work. A service that has been tested, recovered and verified provides a much stronger indication of readiness than a service supported only by documentation.

Dependency coverage

Resilience depends on understanding dependencies. Organizations should know how much of their critical service landscape has been mapped and whether key dependencies have been included in recovery planning. Gaps in dependency visibility often become apparent during disruption.

Scenario testing

Exercises and simulations provide an opportunity to test resilience before a real incident occurs. Results from ransomware simulations, outage exercises and recovery drills often provide valuable insights into readiness, coordination and decision-making. These exercises also help validate whether business expectations align with actual recovery capabilities.

Conclusion

Cyber resilience is no longer a niche security concern. It sits at the intersection of technology, operations and business continuity. 

Whether disruption is caused by a cyberattack, cloud outage, third-party failure or emerging technology risk, the organizations that recover most effectively share a common trait: they understand their mission-critical services and have prepared for how those services will be protected, prioritized and restored.

That preparation goes beyond security controls. It includes visibility into dependencies, realistic recovery expectations, tested recovery procedures and confidence that critical operations can resume when they are needed most. 

As technology environments continue to evolve, resilience will increasingly be defined by recoverability—the ability to restore trusted services quickly, safely and within business requirements.

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