The Arctic Wolf® 2026 AI & Cybersecurity Trends Report asked security leaders how much time their teams spend each week on nine separate security tasks, and the answer came back between 13 and 15 hours for each one. That’s a workload that adds up to roughly three full-time people before anything unplanned arrives.
Leaders are already acting on the problem. Nearly 60% are investing in automation or AI to reduce manual workload and 57% are investing in training and certifications; the two strategies that outrank every other response to the skills gap in the survey. Both strategies are sound, and both take longer to operationalize than a stretched team has.
In this post, we examine what each option can and cannot do at the pace the work actually arrives, and where a managed service fits alongside them.
How Do Security Teams Actually Spend Their Week?
Security teams spend the week spread evenly across nine competing responsibilities, and none of them gets finished. Each one draws between 13 and 15 hours a week.
- Configuring and updating tools
- Responding to incidents, true positives, and false positives
- Supporting end users
- Security architecture and planning
- Compliance, reporting, and audit preparation
- Managing security automation and AI tools
- Threat hunting and proactive research
- Vendor management and tool evaluation
- Security awareness training
These results stand out for how evenly the hours are divided rather than for any hierarchy of priorities. A team short on a single capability can close that gap by adding the capability. But when a team is stretched evenly across nine fronts, there is no single, simple addition available to it.
Partial attention takes a predictable shape once the week fills up. Work with a deadline gets done and work without one waits, which is why posture reviews, detection tuning, and threat hunting slide first, and why teams end up strongest at the reactive work they never set out to specialize in.
Digging deeper, we find that the industry changes the time spent without changing the pattern. Government, public sector, and education teams reported the highest hours on every one of the nine activities, averaging 17 per task, and travel and transport reported the lowest at 12.7. But all nine remain central to the work these teams do.
Why Doesn’t Hiring Close the Cybersecurity Skills Gap on Its Own?
Hiring closes part of the gap, but it runs on a slower clock than the work. Every person added to a security team adds real capacity, and a senior hire with deep skills adds a great deal.
The 2025 ISC2 Cybersecurity Workforce Study, which surveyed 16,029 cybersecurity practitioners and decision-makers, puts numbers on the two walls a hiring plan runs into. Asked what drives their skills shortages, respondents split almost evenly between an inability to find people with the needed skills, at 30%, and a lack of budget to hire enough people, at 29%. A hiring plan can be exactly right and still meet a market with nobody available, a budget that will not stretch, or both at once.
ISC2 also found the character of the gap shifting. Fifty-nine percent of respondents called their skills needs critical or significant, up from 44% the year before, and 88% experienced at least one significant cybersecurity consequence because of a skills deficiency.
Hiring and training are both sound investments, and Arctic Wolf’s own data shows leaders making them at scale. But a role posted today leaves the work uncovered for the months it takes to fill, training asks the team to absorb the same workload while people are learning, and the nine tasks keep drawing their 13 to 15 hours throughout, against a workload that grows faster than either path can close it.
Does AI Reduce Workload or Just Redistribute It?
AI reduces workload when the operating model changes and redistributes it when only the tools change. Our Trends Report notes that introducing AI and automation is rarely straightforward and that the result can be a workload rearranged rather than reduced.
Bolting an AI layer onto an existing workflow speeds up how quickly alerts move without changing what happens to them. Faster triage still routes to the same analysts, in the same queue, in the same order, so the queue empties faster and the week still ends with the same volume of human judgment to supply.
The Trends Report also lists what an AI rollout actually asks of a team, and the list is longer than most plans account for:
- Redesigning workflows
- Strengthening identity and access controls
- Modifying the IT environment
- Updating data governance
- Introducing safeguards
Each of those lands on the same team that adopted the tool to get time back, which is how a capacity project turns into another implementation project.
Capacity comes back when the work itself gets restructured. In an agentic security operations center, investigations run in parallel instead of one after another. Agents handle scale and execution at machine speed, meaning seconds rather than hours. And human experts keep the judgment, context, and accountability.
Many vendors now describe some version of that model, but the question to put to them is what their agents do when they are uncertain, because agents that guess produce confident answers nobody can audit.
Arctic Wolf bounds agent autonomy, routes uncertain cases to human experts, and keeps a named person accountable for the outcome.
What Can a Security Team Cover Without Adding Headcount?
A security team can hand off the high-volume, repeatable work and keep the work that requires knowing the business. Three categories move most cleanly, and all three sit among the nine tasks drawing 13 to 15 hours a week.
Alert triage at volume comes first, and it is the category where the math makes the most sense. Arctic Wolf processes more than ten trillion telemetry events a week, and AI-driven triage now resolves 60% of investigations every week without human intervention, most of them the kind that would otherwise consume an analyst’s afternoon and end in nothing.
Correlation across telemetry comes second. Signals that look harmless in one tool and meaningful in combination are the ones small teams miss, and the reason is time rather than attention. Stitching identity, endpoint, cloud, and network telemetry into one picture is slow manual work when the tools do not talk to each other.
Around-the-clock monitoring comes third. Most organizations cannot staff 24×7 coverage in-house, because three shifts of qualified analysts is a headcount most security teams will never be approved for. Coverage outside business hours is therefore not a question of working harder. But with more than half of all alerts coming in on evenings and weekends, that lack of coverage can have real consequences. AI can help with that.
What stays in-house is the work that depends on knowing the business: Risk decisions, prioritization, the architecture choices that follow from where the organization is heading, and the judgment calls that rest on context. Handing off triage should not hand off accountability, and a security leader who cannot explain a response decision to an auditor has not gained capacity so much as lost visibility.
Is a Managed Service Faster Than Building the Capability In-House?
A managed service is usually faster, because the capability already exists and does not need to be built, hired for, or trained up. Thirty-nine percent of organizations in the Trends Report are turning to managed services to close the skills gap, and the figure runs higher where skills are scarcest, reaching 52% in Singapore.
Managed detection and response (MDR) is the category, and it is widely misdescribed as outsourcing. Outsourcing hands work away and hands back reports, while a managed service operates alongside the team with named experts who know the environment and stay accountable for the outcome.
Organizations stuck in reactive security need security operations, not more tools. Arctic Wolf acts as a security operations partner, delivering proactive MDR to reduce attack frequency and impact over time. Where traditional MDR waits for alerts, Arctic Wolf combines the world’s largest commercial SOC, expert Concierge Experience™, and the AI-led, human-validated Aurora® Agentic SOC to drive real security outcomes. Built on an open platform that enhances existing security tools rather than forces the replacement of them, Arctic Wolf strengthens security posture, reduces operational burden, and delivers faster, more accurate responses. The result is measurable security improvement, reduced risk, and clear insight into the value of security operations.
The agent-led model behind the Aurora Agentic SOC resolves cases up to 15x faster for certain workflows, with more than 1,000 security experts validating AI outcomes daily. What the speed returns is analyst time previously spent moving cases forward by hand.
Capability built through hiring and training lives in individual people, and people move on, which is normal and reasonable. Capability delivered as a service stays put.
How To Start: Decide What the Team Stops Carrying
Security teams are under-resourced, and the shortage surfaces as a shortage of time spread across nine fronts at once.
Hiring and training both address that shortage on a timeline measured in quarters, which is the right investment and the wrong clock for a team that is already behind. Organizations that pair the team they have with a managed security operations model can get hours back inside the current quarter. Those waiting on a requisition to clear will spend the wait covering nine fronts at partial attention, and the nine fronts do not pause while the role is open.
See what a fully staffed, 24×7 SOC adds to your team. Talk to Arctic Wolf about Aurora MDR, or download the Arctic Wolf® 2026 AI & Cybersecurity Trends Report for the full picture on how security teams are spending their time.
Frequently asked questions
Is AI going to replace SOC analysts?
No. AI changes which work reaches an analyst rather than whether analysts are needed. Agents handle volume and execution, and human experts keep the judgment, context, and accountability that cannot be automated responsibly.
Does hiring fix the cybersecurity skills gap?
Hiring closes part of the gap and rarely all of it. ISC2 found 30% of organizations cannot find people with the skills they need and 29% cannot afford them, so most teams need a way to cover the work while roles stay open.
What causes SOC analyst burnout?
Alert volume is the most common driver. Analysts spend hours triaging signals that turn out to be nothing, which leaves less time for the investigative work the role exists for.
How is managed detection and response different from hiring more staff?
Managed detection and response adds operational capacity rather than headcount, and the capability stays in place when people change roles. Hiring builds skills inside the organization, so the two approaches solve different parts of the same resourcing problem.