How Holiday Cyberattacks Put Retailers’ Business Resilience to the Test

Bridging the recovery decision gap requires retailers to map system dependencies and test operational trade-offs before peak shopping disruptions strike.

• By Richard Barnett
• Oct 30, 2026

Every year, retailers spend months preparing for the holiday rush. They forecast demand, staff distribution centers, test e-commerce platforms and secure carrier capacity. What gets less attention is what happens if a cyberattack strikes during peak shopping season and the business must keep operating while critical systems remain offline.

The stakes are significant.Deloitte projects $1.70 trillion to $1.71 trillion in total U.S. retail sales from November 2026 through January 2027, a 4% to 4.8% increase over the previous year. E-commerce sales are expected to reach $316.1 billion to $318.9 billion. Even a brief disruption during this period can carry substantial financial consequences.

In my view, the holiday season is one of the clearest tests of a retailer's resilience. It reveals whether cybersecurity, IT and business leaders can make effective recovery decisions together under pressure. That is where many organizations remain least prepared.

Containment Is Only the First Step. Deciding What to Restore Next Is Where Retailers Get Stuck.

Security teams do critical work detecting, containing and investigating threats. But I believe our industry sometimes still treats containment as the finish line when it is actually the starting point for another challenge.

Critical systems may remain offline while teams validate backups, rebuild clean environments and restore access. Unlike traditional infrastructure outages, cyberattacks can compromise the systems and data needed for recovery. Investigations must establish what can safely return online, potentially extending recovery well beyond established targets.

I think of this as the decision gap: the period after containment when leaders must decide what to restore without fully understanding each system's business impact. Cybersecurity, IT and business leaders each hold part of the answer, but that information is rarely connected.

Picture a retailer that contains a ransomware attack the Saturday before Cyber Monday. Its e-commerce storefront remains offline, making restoration seem urgent. But the storefront depends on payment processing, inventory data and fulfillment systems that are also unavailable.

Inside the response room, e-commerce leaders want the storefront running before Monday. Fulfillment teams are watching orders stall while security determines which systems are trustworthy. Everyone has a partial view. A rushed decision could reopen the storefront only to generate orders the retailer cannot process or ship, creating customer problems long after the incident.

That is not necessarily a failure of cybersecurity. It is a failure of shared visibility.

Retailers Need to Understand Dependencies Before Making Recovery Decisions

Most retailers have invested years in business continuity plans, disaster recovery procedures and cybersecurity playbooks. Those resources matter, but they often explain how to restore individual systems without showing the impact to the business when those systems become unavailable.

Organizations can address this through a continuously maintained service-and-dependency model connecting critical business services to the technology, people and processes supporting them. Rather than reconstructing relationships during an incident, leaders can assess operational impacts and financial exposure before deciding what to prioritize.

Return to our retailer. A shared view might reveal that payment processing, inventory and warehouse systems all depend on identity services still being rebuilt. Instead of reopening the storefront prematurely, leaders could prioritize restoring access, followed by payment and inventory capabilities, before resuming online orders.

The discussion shifts from competing assumptions to informed trade-offs. Customers may experience a planned delay rather than failed payments and canceled orders.

That is recovery optimization: sequencing restoration around business needs and dependencies while respecting the security requirements that determine when systems can safely return.

Testing Recovery Plans Before the Holidays Reveals Hidden Weaknesses

Recovery priorities only matter if they hold up under pressure. Before peak season, I encourage retail leaders to ask three questions: Which services must we sustain? How long can we tolerate disruption? Who can authorize difficult trade-offs when recovery needs compete?

Then test those answers.

Traditional exercises remain valuable, but they can be expensive and infrequent. Scenario Testing allows organizations to explore variations of a disruption using their own dependency information, identifying weaknesses that individual exercises might miss.

For example, simulating a ransomware attack before Cyber Monday could reveal that rebuilding identity services takes longer than recovery plans assume, delaying payment processing regardless of restoration order. A related tabletop exercise might uncover uncertainty about who can approve manual order processing.

Both findings give leaders opportunities to improve their response before holiday demand peaks.

I still consider tabletop exercises essential because they test what technical models cannot: communication, coordination and the transfer of responsibility between containment and recovery. Combining these approaches helps organizations test both their operational assumptions and their ability to act on them.

The Hardest Recovery Decisions Should Be Made Before Disruption Strikes

Retailers cannot eliminate every cyber threat or predict every disruption. They can ensure cybersecurity, IT and business leaders understand which operations matter most, how those operations depend on one another and what is at stake when they fail.

I see an opportunity to treat cybersecurity as part of enterprise resilience rather than a separate discipline. Retailers that connect cyber response to business recovery priorities and test those priorities before peak demand will be better positioned to make decisions under pressure and protect revenue, operations and customer trust.