Boston Scientific continues to face consequences from a cyberattack that disrupted its operations more than two weeks ago, even though most of its systems are back online. The biotechnology company informed investors this week that the incident will likely have a material impact on its third-quarter and full-year results, and it won't meet previous sales and profit forecasts. That gap between IT restoration and actual business performance highlights a challenge CIOs face after any cyberattack: getting systems operational isn't the same as getting the business to function normally again.
By Sept. 5, most of Boston Scientific's facilities had resumed manufacturing, and major distribution centers were processing and shipping products at or above normal levels. Yet the financial consequences of the earlier disruption continue to work their way through the business. Those milestones can be weeks apart, and sometimes they're difficult to measure at all. IT teams have plenty of metrics for technical recovery — when applications are available, infrastructure is restored, and data has been recovered — but those measures describe the state of technology rather than the state of the business.
"Getting systems back online is a technical milestone. Recovery is a business outcome," according to Edward Liebig, co-founder of AI infrastructure platform NexGenomics. Simon Ratcliffe, fractional CIO at consulting firm Freeman Clarke, argued that CIOs should define recovery around whether the organization can reliably meet its customer, operational, regulatory and financial commitments again. The report recommends mapping technology services to business value streams before an incident occurs, so recovery teams know which combinations of systems and dependencies produce those outcomes. Julie Talbot-Hubbard, vice president of security services at IT consulting firm Ahead, noted that an order-management application can be operational again, yet the company might still be unable to fulfill orders if inventory, production, logistics or invoicing remain disrupted.
The piece argues that CIOs should work backward from the outcome they need to protect, asking what combination of people, systems, equipment and information is required to keep that outcome within acceptable limits. The right unit of recovery isn't an individual server or application — it's the smallest complete operational path capable of producing and delivering an acceptable business outcome. This approach can significantly change recovery priorities: for some organizations, safety or product integrity may take precedence over revenue, while for others the immediate priority may be restoring a process creating the greatest financial or customer impact. That shift forces the business to decide what acceptable operation means, rather than leaving that judgment to IT during a crisis.
The analysis recommends executives receive visibility into current operating capacity, unresolved dependencies, backlog and recovery rates, customer exposure, financial impact and residual risk. Leadership should know the percentage of critical processes operating, the daily cost of remaining below normal capacity, the blocker to the next recovery step, the realistic timeline and what could change it, and what remains unknown. The board isn't interested in whether a database has been restored — they want to know whether customers can place orders, whether products can be manufactured and shipped, and whether revenue targets remain achievable. CIOs should give the CFO a range of financial exposure and update it regularly, rather than presenting an early estimate as definitive, treating the financial impact as a dynamic assessment that changes as recovery progresses. The frame rejects what one expert called "false precision" in favor of decision confidence, even when the forecast isn't bright. Traditional disaster recovery exercises demonstrate that backups work and systems can be restored, but they don't necessarily prove that the business can continue operating when those systems, along with people, facilities, suppliers or communications, are unavailable — so the piece advocates combining technical recovery testing with business-process validation and exercises involving critical third parties, including taking systems away during drills and forcing the business to operate without them. Organizations that map dependencies and test realistic scenarios before an incident will have a clearer understanding of what the business must be able to do, how much disruption it can tolerate, and which technology and operational dependencies stand between an incident and a return to acceptable performance. The lesson is stark: overconfidence during recovery can be more damaging than acknowledging gaps in understanding.