Security leaders have more telemetry, more controls, and more visibility than ever. They also have real confidence in their teams. In the Arctic Wolf® 2026 AI & Cybersecurity Trends Report, 96% of respondents said they were very or somewhat confident their security team could keep pace with the volume and complexity of today’s threats.
The incident data tells a more complicated story, however. In the same study, 63% of leaders were certain their organisation had experienced a significant cybersecurity incident in the previous 12 months. Another 7% suspected one had occurred without being detected. Confidence was also higher among leaders whose organisations had already been hit: 57% were very confident, compared with 47% at organisations that had not.
This is not a leadership failure. It is an evidence gap, meaning the distance between believing security operations are ready and being able to demonstrate, in business terms, how well they detect, investigate, contain, and recover from threats.
Closing that gap takes more than another dashboard. It takes evidence that the whole operating model holds up under pressure.
How Common Are Significant Incidents in 2026?
Significant incidents are common enough that incident readiness belongs in the operating plan rather than the contingency plan.
The Arctic Wolf survey defined a significant incident as one causing financial loss, time loss, data loss, operational disruption, reputational impact, legal or regulatory exposure, security program changes, or a need for outside recovery assistance. By that measure, only 29% of respondents were confident their organisation had avoided one during the previous year. That figure has barely moved from the 27% who said the same a year earlier.
External datasets reinforce the scale from other angles. The Verizon 2026 Data Breach Investigations Report analysed more than 22,000 confirmed breaches, its largest dataset yet, and found that identity contributed to 62% of them. Verizon calls this the human element: someone made a mistake, misused their access, used a stolen password, or fell for a scam such as phishing. Credential abuse appeared in 39% of full breach chains, making it the most pervasive technique Verizon tracked. The FBI’s 2025 Internet Crime Report recorded more than a million complaints and $20.877 billion in reported losses, a 26% increase over 2024, with business email compromise accounting for more than $3 billion on its own.
These sources measure different populations, so they should not be added together into a single incident rate. Read together, though, they clearly demonstrate that incidents are becoming more frequent, they take many forms, and no single control stops all of them. This point is a reality that security leaders face every day, and it has fundamentally changed the most practical question a security leader can ask about their environment away from “Are we protected against breaches” to:
If suspicious activity appeared today, would we be able to detect it, establish what happened, and take the right action before it became a material business disruption?
That question is harder to answer, and far more useful.
How Long Do Significant Incidents Impact Business?
Long enough that security operations deserve to be evaluated as a business resilience capability.
Among organisations in the Arctic Wolf study that experienced a significant incident, 87% reported some loss of time or productivity. For nearly half (48%), the disruption lasted two weeks or longer. Almost 10% reported disruption running for two quarters or more. Those durations translate into delayed customer commitments, diverted executive attention, suspended processes, and revenue that doesn’t arrive.
The IBM Cost of a Data Breach Report 2026 adds financial weight. IBM put the global average breach cost at $4.99 million, up 12% year over year. It also found a $1.93 million average cost savings for organisations using security AI and automation extensively compared to those using none.
That second figure is worth reading carefully, because it is easy to misread as an argument for buying AI. Artificial intelligence on its own doesn’t create resilience. Its economic value shows up when speed and scale get integrated into detection, investigation, and response that actually work. Automation that generates more alerts without advancing an investigation adds cost rather than closing the gap.
In other words: Confidence is useful, but evidence is defensible.
Why Are Breached Organisations More Confident Than Unbreached Ones?
Leaders at organisations that have been through a significant incident have watched their people, processes, technology, and partners operate under real pressure. They may know which data sources were available, how long investigations took, where ownership blurred, and which recovery dependencies turned out to be missing. The experience probably exposed weaknesses. It also handed those leaders information they can use to recalibrate.
Organisations without a known incident may be every bit as capable. They simply have less direct evidence to reason from.
The same pattern shows up in the Arctic Wolf data on incident response (IR) retainers. Among leaders whose organisations had an active retainer, 57% were very confident in their team’s ability to manage modern threats. Among those without one, only 40% were. A retainer doesn’t prevent an incident, and retainers vary widely in what they actually deliver. What a good one provides is a defined escalation path and access to outside expertise, which removes some of the uncertainty about what happens next.
This is why confidence works poorly as a security key performance indicator. It is a perception, and it should be downstream of observable results.
The shift the industry is making here is toward outcome-driven measurement: creating a direct line of sight between security investment, protection level, and business outcome. Rather than asking a board to infer readiness from tool counts, alert volumes, or project completion, security leaders can show whether the organisation is hitting defined operational targets. Forrester has made a related point about this market specifically, observing that an MDR provider’s ability to positively influence the security of its customers now matters as much as its ability to find threats.
An evidence-based board conversation sounds different as a result. Instead of listing tools and coverage percentages, it shows that critical attack surfaces are monitored, that high-severity activity gets investigated, that response authority is documented, and that recurring findings become risk-reduction work. The first version describes inputs. The second describes an operating capability.
Is 24×7 Cybersecurity Monitoring Enough?
Threat activity ignores business hours. The Arctic Wolf 2025 Security Operations Report found that 51% of alerts arrived outside traditional working hours, with roughly one-sixth of weekly alert volume landing on weekends.
Coverage itself is now widespread. In the 2026 Trends Report, 57% of respondents said they have the internal resources and skills to monitor their IT, cloud, and network environments around the clock. Another 32% achieve the same 24×7 coverage through a third party or managed service. Only 11% reported no 24×7 monitoring capability at all.
Industry variation is where the averages come apart. Retail leads at 95% reporting around-the-clock coverage, just ahead of energy and utilities and technology companies. Healthcare sits lowest at 79%, with the public sector at 80%. One in five healthcare and government organisations has no 24×7 monitoring of its IT environment, which is hard to square with the sensitivity of what those sectors hold.
Now compare the coverage figure against the incident figure. Nearly nine in ten organisations have 24×7 monitoring of some kind. Roughly 70% were compromised anyway. Whatever monitoring was in place may well have detected those attacks. It did not, however, reliably contain them.
Leading frameworks draw the same distinction. CIS Control 13 calls for comprehensive network monitoring and defense, while CIS Control 17 covers the maintained policies, roles, training, and communications that incident response depends on. The NIST Cybersecurity Framework 2.0 organises security around outcomes spanning six functions: Govern, Identify, Protect, Detect, Respond, and Recover.
Note where monitoring sits in that model. It addresses part of Detect. Most organisations invest heavily in Identify and Protect, measure something in Detect, and leave Respond and Recover largely untested until an incident forces the question. The evidence gap tends to live in those last two functions.
Capacity is part of why. Arctic Wolf’s survey found security teams spending between 13 and 15 hours per week on each of nine separate functions, from configuring tools to hunting threats to preparing for audits. That uniformity is telling. A team stretched evenly across everything has no room to go deep on anything, and handing it another console rarely helps.
How Can Security Leaders Replace Confidence With Evidence?
For buyers assessing 24×7 monitoring and response services, five questions separate basic coverage from a capability that produces evidence.
1. What Attack Surfaces Are Actually Covered?
A provider should be able to explain how it uses telemetry from endpoints, networks, identities, cloud services, and other relevant systems. 24×7 monitoring means little when important environments sit outside that visibility.
2. Who Owns the Investigation?
Forwarding alerts moves work around without necessarily reducing risk. Modern managed detection and response (MDR) should establish who validates activity, correlates evidence, determines severity, and communicates the next action.
3. What Happens After a Threat is Confirmed?
Containment actions, customer approvals, escalation thresholds, and remediation guidance all need definition before an incident, not during one.
4. How Does the Service Reduce Future Risk?
Findings from investigations, exposure reviews, and threat intelligence should feed hardening work. A provider that only tells you what happened leaves the underlying condition in place.
5. How Are Outcomes Demonstrated?
Useful reporting connects activity to resilience through coverage, investigation performance, response actions, recurring control gaps, and risk-reduction progress. Alert volume is not an outcome.
Those five questions describe the role of a security operations partner: combining technology, around-the-clock execution, contextual expertise, and continuous improvement into a single operating model.
How Arctic Wolf Can Help
Arctic Wolf’s Aurora® Managed Detection and Response is built around that model of a true security operations partner. We work with the technology ecosystem an organisation already runs, provide continuous monitoring and full investigation, and pair customers with experts through the Concierge Experience™. The Aurora Agentic SOC adds machine-speed analysis and execution while humans stay in the loop for decisions that require context and judgment.
The value isn’t AI for its own sake, and it isn’t more technology for a stretched team to operate. It is turning telemetry into validated investigations, response actions, and measurable improvement without asking the customer to assemble the final mile alone.
Learn more about what modern MDR should deliver and how to evaluate providers based on outcomes in Stopping AI Enabled Attackers at Machine Speed: A Buyer’s Guide to Modern MDR.
Use our ROI calculator to estimate how AI-driven threat detection and expert-led security operations can reduce risk, lower costs, and improve your security outcomes.
Discover 2026 cybersecurity trends in AI adoption, incident response readiness, threat landscape evolution, and regional cyber risk insights from Arctic Wolf’s authoritative survey.