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Follow-the-Sun SOC vs. Local SOC: Who's Watching at 3 am?

Why a Five Eyes follow-the-sun Security Operations Centre delivers better outcomes than a local SOC with a pager, and how to tell which one you are really buying.

The bottom line

I have spent more than fifteen years in managed security services, governance and risk, and enterprise architecture. In all that time, one question has decided more outcomes than any tool, feed or dashboard: when the attack starts at 3 am on a Sunday, is a trained analyst already awake, at a desk, looking at it?

A Five Eyes follow the sun SOC, where awake analysts in Australia, New Zealand, the United Kingdom, Canada and the United States hand the watch to each other through the day, gives materially better security outcomes than a local SOC with a pager.

Many services sold as a "24/7 local SOC" are, in practice, a day shift plus a person who can be woken up. That puts an analyst at a desk for 56 of the week's 168 hours. It is 24/7 alerting. It is not 24/7 monitoring.

72 minfrom first access to stolen data in the fastest intrusions Unit 42 investigated, four times faster than a year earlier.Palo Alto Networks Unit 42, 2026 [1]
1 in 4incidents saw data exfiltrated in under five hours. About one in five took less than an hour.Palo Alto Networks Unit 42, 2025 [2]
12 hto report a critical cyber incident under the SOCI Act, counted from when you become aware.Cyber and Infrastructure Security Centre [18]

What to do next: put the ten questions in the buyer's checklist to every provider claiming 24/7 coverage, and ask for the answers in writing, with roster evidence.

Two models, one label

A SOC is the team and tooling that watches an organisation's systems for signs of attack and responds when it finds one. The tooling never sleeps. Your SIEM platform, which collects and correlates logs, and your EDR agents on laptops and servers will raise alerts at any hour. The question is what happens to an alert when it lands.

In the first model, which I will call the local pager model, analysts sit at their desks for roughly eight hours a day, seven days a week, typically something like 08:00 to 16:00 local time. Outside that window, high severity alerts trigger a page to an on call analyst. That person is usually at home, often asleep, and is expected to wake, log in, work out what is going on and decide whether to escalate.

In the second model, a Five Eyes follow the sun SOC, there are teams in several of the Five Eyes countries. Each works ordinary daytime hours in its own time zone and hands the live queue to the next team in sequence. Somebody fully awake, on shift and in context is always at a desk.

Both providers can honestly print "24/7" on the brochure. The difference is what the number counts.

Figure 1. Who is awake at a desk, hour by hourDrag the slider, or hover over either clock, to see who is working an alert at any hour. Australian Eastern Standard Time; handovers move by about an hour when daylight saving starts or ends.

Local SOC with pager

Local SOC with pager: 24 hour coverageAnalysts are awake at a desk from 08:00 to 16:00. From 16:00 to 08:00 coverage is a pager only.000612188 hawake at a desk

Five Eyes follow the sun

Five Eyes follow the sun: 24 hour coverageNorth America shift 00:00 to 08:00, Australia and New Zealand shift 08:00 to 16:00, United Kingdom shift 16:00 to 24:00. An analyst is awake at a desk every hour.0006121824 hawake at a desk
  • Australia and New Zealand shift
  • United Kingdom shift
  • North America shift
  • Pager only, analyst off shift

Illustrative modelRosters are representative, not a description of any specific provider. Example local hours: United Kingdom shift 07:00 to 15:00 British Summer Time, North America shift 07:00 to 15:00 Pacific Daylight Time.

Put the two clocks over a full week and the gap becomes stark. The pager model has an analyst awake at a desk for 56 of the week's 168 hours, which is one third. For the other 112 hours, coverage depends on a phone, a sleeping person and a home network connection.

Figure 2. Hours per week by coverage stateA standard week has 168 hours. Hover for detail; use the chips to show or hide a series.
Data table
ModelAnalyst at desk (h)Pager only (h)Share at desk
Local SOC with pager5611233%
Five Eyes follow the sun1680100%

Illustrative modelCalculated from an eight hour staffed shift, seven days a week (8 × 7 = 56 hours).

Table 1. What "24/7" means in each model
QuestionLocal SOC with pagerFive Eyes follow the sun
Tooling collecting and alerting24/724/7
Analyst awake at a deskAbout 8 hours a day24 hours a day
Who sees a medium severity alert at 02:00Often nobody until morningThe shift on duty, in the queue
Analyst state overnightAsleep, then wokenMid shift, in daylight hours
Peers available to consultUsually none until morningA full shift and a shift lead
Threat hunting and detection tuningBusiness hours onlyContinuous

Source: author's characterisation of the two operating models.

When attackers choose to work

Attackers are not guessing about this. They choose their moment, and the moment is when you are least likely to notice.

Microsoft's threat intelligence team says attackers deliberately time campaigns for periods when people are distracted, rushed and more trusting, and that these seasonal patterns show up consistently in its telemetry [8]. SentinelOne's researchers make the same point about the final stage of an attack: ransomware operators invest in faster encryption precisely because the sooner it finishes, the less likely a defender is to notice and stop it [9].

The arithmetic of the calendar does the rest. A Monday to Friday, 09:00 to 17:00 week is 40 hours out of 168, so roughly 76 per cent of the week sits outside business hours. Under the pager model, 112 hours a week, two thirds of it, have nobody awake at a desk. An attacker who wants to avoid a human being does not need to be clever about timing. Almost any evening will do.

Public incident reports rarely publish consistent counts of intrusions by hour of the day, and I am not going to invent them. What I can show precisely is the exposure. The heatmap below plots, hour by hour across an Australian week, who is awake at a desk. Switch between the two models to compare.

Figure 3. Who is awake at a desk, by hour and dayAustralian local time. Each square is one hour; the bottom row is a public holiday. Hover over a square for detail.
Day0003060912151821
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Hol
  • Provider analyst and your own staff at desks
  • Provider analyst only
  • Nobody awake at a desk, pager only

Illustrative modelPager model staffed 08:00 to 16:00 daily; follow the sun staffed every hour; client staff assumed at work 09:00 to 17:00 weekdays.

Under the pager model, the red squares are where the most damaging moments of an attack are most likely to land, because they are where attackers can be most confident that nobody is watching. A follow the sun model turns every square blue.

Global campaigns follow the same logic. CISA reports that the CL0P group began mass exploitation of the MOVEit Transfer vulnerability on 27 May 2023 [27]. That was the Saturday of the Memorial Day long weekend in the United States, and the Sunday morning of an ordinary weekend here.

Speed is what turns this exposure into harm. Palo Alto Networks' Unit 42 found that in a quarter of the incidents it handled in 2024, data was stolen in under five hours, and in about one in five it took less than an hour [2]. An unstaffed night under the pager model lasts sixteen.

The arithmetic of speed

SOC performance is usually reported through a handful of "mean time to" measures. Mean time to detect is how long it takes for malicious activity to be noticed. Mean time to acknowledge is how long before a person picks the alert up. Triage is the work of deciding whether it is real and how serious it is. Containment is the action that stops the spread, such as isolating a host or disabling an account. Response covers everything after that, through to recovery. Each step needs a human, and in the pager model each step at night starts with waking one up.

Now look at the attacker's clock. Unit 42's 2026 Global Incident Response Report, drawn from more than 750 major incidents in over 50 countries, found the fastest attackers moved from initial access to data exfiltration in 72 minutes, four times faster than the year before [1]. Palo Alto Networks has separately described attacks that achieved their objectives, including full data theft, in as little as 25 minutes [10]. Microsoft measured a median of 1 hour and 12 minutes between a victim opening a phishing email and the attacker reaching their private data [7].

Figure 4. The attacker's clock against yoursTime from first access, logarithmic scale. Switch on the response lines to see when each model starts containment.
Data table
MeasureTimeSource
Fastest attacks completing objectives, including data theft25 minPalo Alto Networks 2025 [10]
Fastest initial access to exfiltration72 minUnit 42 2026 [1]
Median time, phishing email opened to private data accessed1 h 12 minMicrosoft 2022 [7]
About one in five incidents: exfiltration within1 hUnit 42 2025 [2]
One in four incidents: exfiltration within5 hUnit 42 2025 [2]
About 45% of cases: exfiltration within1 dayUnit 42 2024 [3]
Median time, compromise to exfiltration (2023)2 daysUnit 42 2024 [3]

Sources: Unit 42 [1][2][3]; Palo Alto Networks [10]; Microsoft [7]. Response lines: Illustrative modeltypical values from Table 2.

The trend matters as much as the snapshot. In its 2024 report, Unit 42 found the median time from compromise to exfiltration had fallen from nine days in 2021 to two days in 2023, with roughly 45 per cent of cases seeing data leave within a day [3].

Figure 5. The window is closingMedian days, as reported by Unit 42. Hover over either point for detail.
Data table
Measure20212023
Median dwell time (days)about 2613
Median time, compromise to exfiltration (days)92

Source: Palo Alto Networks, Unit 42 Incident Response Report 2024 [3]. The 2021 dwell figure is reported as roughly double the 2023 figure.

Against that clock, I want to be precise about what a pager costs. There is no industry dataset that measures the nighttime response of paged analysts across providers, so the figures below are a model, built from steps I have watched play out many times. Treat them as assumptions to challenge, not as findings.

Table 2. Response path assumptions, analyst at a desk versus paged at night (minutes)
StepAt desk: fastAt desk: typicalAt desk: slowPaged: fastPaged: typicalPaged: slow
Alert reaches a person (queue or page delivered)1352510
Wake, overcome grogginess, acknowledge00051020
Reach a laptop, connect, authenticate, open consoles00051020
Gather context on the alert, asset and recent activity51015102030
Decide, escalate, start containment51015102040
Total to containment starting1123353265120

Illustrative modelAuthor's assumptions. Grogginess allowance reflects sleep inertia research showing the largest impairment in the first 30 minutes after waking [24]. Escalation at night assumes the client's authorised contact must also be woken where containment is not approved in advance.

Figure 6. Response path, step by stepMinutes from alert to containment starting. Choose a scenario from Table 2.
Data table
Path (typical)Reach personWakeLog inContextDecideTotal
Analyst at a desk300101023
Paged at night51010202065

Illustrative modelAuthor's assumptions (Table 2). Benchmark: fastest access to exfiltration, Unit 42 2026 [1].

On those assumptions the pager adds around 40 minutes in a typical case, and more than an hour and a half on a bad night. In other words, on a typical night the paged analyst starts containing an incident at roughly the moment the fastest attackers Unit 42 has studied are finishing theirs.

A pager does not just add delay. It adds delay at exactly the hours attackers have chosen to work.

Grant Hutchons

There is a fair counterpoint. Most intrusions are not sprints. Microsoft's 2025 Digital Defense Report puts average dwell time, the period an attacker sits undetected, at 12 days, and Unit 42 reported a median of 13 days for 2023 [4][3]. That sounds like plenty of time. It is actually the strongest argument for an awake SOC. A long dwell time means there were days of quieter signals, an odd login, a new scheduled task, an unusual data transfer, that never crossed the threshold that wakes someone up. An analyst on shift works the medium severity queue all night. A pager only fires on the loud ones, and by the time an alert is loud the attacker is usually close to the end of the chain.

The same Microsoft report found that only 54 per cent of organisations engaged their response teams within three days of detecting a compromise [4]. Meanwhile Microsoft saw human operated ransomware encounters rise 2.75 times while the share of attacks reaching the ransom stage fell threefold, and in more than 90 per cent of attacks that did reach that stage the attacker used unmanaged devices for initial access or remote encryption [6]. My reading is simple. Attacks that someone is watching, and interrupts early, rarely become ransom events. Unit 42 found 86 per cent of the major incidents it handled in 2024 caused operational downtime, reputational damage or financial loss [2]. Interruption is the whole game.

The people on the night shift

I want to be careful here, because this section is about people I respect. Analysts who carry a pager or work permanent nights are usually dedicated, often junior, and frequently doing it because the model gives them no other option. The problem is not their commitment. It is biology, and no amount of commitment changes biology.

Start with simple fatigue. In a study published in Occupational and Environmental Medicine, Williamson and Feyer found that after 17 to 19 hours without sleep, performance on some tests was equivalent to or worse than at a blood alcohol concentration of 0.05 per cent [22]. A paged analyst woken at 02:00 after a full day is in that territory, and is being asked to make containment decisions about a production environment.

Then add sleep inertia, the grogginess that follows abrupt waking. A 2019 review in Nature and Science of Sleep found the most significant effects occur within 30 minutes of waking, that impairment can match or exceed that seen after a full night without sleep, and that people tend to feel alert before their performance actually recovers [24]. That last finding matters in a SOC. The person most confident they are ready may not be.

Being on call costs sleep even on nights when the phone stays silent. A systematic review led by Hall and colleagues concluded that on call work adversely affects sleep quantity and, in most studies, sleep quality [25]. Anticipation alone is enough to fragment rest.

Over longer periods, the evidence becomes more serious. Folkard and Tucker's analysis of shift work and safety found the relative risk of incidents was around 30 per cent higher on night shifts than morning shifts, and 36 per cent higher on a fourth successive night than on the first [23]. The International Agency for Research on Cancer classifies night shift work as probably carcinogenic to humans, Group 2A, citing disruption of circadian rhythms as the key mechanism [26].

Figure 7. How shift timing and length change incident riskRelative risk index, where 100 is the stated baseline for each comparison. Hover for the baseline.
Data table
ComparisonBaseline (100)Index
Night shiftMorning shift130
Fourth successive nightFirst night136
10 hour shift8 hour shift113
12 hour shift8 hour shift127

Source: Folkard and Tucker, Occupational Medicine, 2003 [23], as summarised by Interdynamics.

Now combine fatigue with alert volume. An IDC survey of 350 security operations staff found that 45 per cent of the alerts enterprise teams receive are false positives, that analysts spend around half their time on them, and that 35 per cent of enterprise analysts, and 44 per cent at managed service providers, ignore alerts when their queues overflow. Three in four said they worry about missing incidents [11]. Gartner has warned that cybersecurity professionals face unsustainable stress, predicting that nearly half of cyber leaders would change jobs by 2025, a quarter of them leaving for different roles entirely, and that a lack of talent or human failure would be responsible for over half of significant incidents [12].

Figure 8. Alert fatigue and attrition pressureAnalyst firm research. Hover for the full finding.
Data table
FindingShareSource
Analysts worried about missing incidents75%IDC [11]
Analyst time spent on false positivesabout 50%IDC [11]
Enterprise alerts that are false positives45%IDC [11]
Provider analysts ignoring alerts when queues overflow44%IDC [11]
Enterprise analysts ignoring alerts when queues overflow35%IDC [11]
Cyber leaders predicted to leave for different roles by 202525%Gartner [12]

Sources: IDC survey of 350 SOC staff, sponsored by FireEye, February 2021 [11]; Gartner, February 2023 [12].

The knock on effect is direct. Tired analysts miss things, burnt out analysts leave, and every departure takes tribal knowledge about your environment with it. A follow the sun model does not make SOC work easy. It does mean nobody has to do it at 3 am, and in my experience that single change does more for detection quality and retention than any wellbeing programme layered on top of a night roster.

Seeing it coming

Timing works in the defender's favour too, if you are set up to use it. Because Australia starts its day ahead of Europe and the Americas, a campaign that begins against organisations in London or Toronto during their working day is happening during our night. Analysts in those regions, working the same platform and the same detection content, see it first.

In a follow the sun SOC, that observation does not wait for a morning briefing. The analyst who triages the first case in the United Kingdom writes the detection, adds the indicators and hunts across every client environment, including Australian ones, before Australia wakes up. The relay works in the other direction as well: activity first seen in the Asia Pacific morning reaches the British shift with hours of context already attached.

Figure 9. The follow the sun relay, mapped to Australian timeHover over a shift to see its local hours. Overlaps of about 30 minutes allow a spoken handover.
Data table
TeamAustralian time (AEST)Local time
Australia and New Zealand08:00 to 16:0008:00 to 16:00 AEST; 10:00 to 18:00 NZST
United Kingdom16:00 to 24:0007:00 to 15:00 BST
Canada and United States (Pacific)00:00 to 08:0007:00 to 15:00 PDT

Illustrative modelRepresentative roster; time zone offsets for the southern winter. Eastern Canada and United States teams can provide overlap and surge capacity at the North American handover.

Scale matters too. Microsoft says it processes more than 100 trillion security signals a day [5]. The principle holds for any SOC: the more environments and time zones your analysts watch, the sooner they recognise a campaign the second time it appears.

There is also a government layer. The cyber agencies of the Five Eyes nations, the Australian Signals Directorate's Australian Cyber Security Centre, the United Kingdom's National Cyber Security Centre, the Canadian Centre for Cyber Security, New Zealand's National Cyber Security Centre and, in the United States, CISA, the NSA and the FBI, routinely publish joint advisories. The July 2024 advisory on the state sponsored group APT40, for example, was led by ASD's ACSC and jointly sealed by agencies from all five nations, alongside partners in Germany, Korea and Japan [28]. Advisories released in a northern hemisphere morning arrive in the Australian evening. An awake shift can read, test and deploy the guidance the same night. A pager model will usually pick it up the next day.

I do not want to overstate this. Agency advisories are public, and any good SOC reads them. The advantage is not secret access. It is that a team spread across five countries sees more client environments, in more sectors, at more hours, and has someone awake to act on what it sees.

Your legal clock

For boards, risk committees and anyone who signs off a regulatory notification, this is where the operating model stops being a technical preference. Australian obligations are measured in hours, and the clocks do not pause overnight.

The volume is not theoretical either. ASD received more than 84,700 cybercrime reports in the 2024 to 2025 financial year, about one every six minutes, and 13 per cent of the incidents it responded to involved critical infrastructure [13][14]. The OAIC received 1,205 data breach notifications in calendar 2025, the highest since the scheme began, and 716 of them stemmed from malicious or criminal attacks [15]. In its July to December 2024 report, 66 per cent of breaches were identified within 30 days of occurring, and 52 per cent were notified to the OAIC within 10 days of the organisation becoming aware [16].

Table 3. Australian incident obligations and the pager model
ObligationWho it applies toWindowWhere a pager model puts it at risk
SOCI Act, critical cyber incident (significant impact)Responsible entities for critical infrastructure assets12 hours from becoming aware, written report within 84 hours if first reported orally [18]The whole window can fall inside one unstaffed night. One paged analyst must investigate, judge impact and prepare facts alone.
SOCI Act, other cyber incident (relevant impact)As above72 hours from becoming aware, written report within 48 hours if first reported orally [18]A Friday night incident leaves most of the window across a weekend with a single paged responder.
APRA CPS 234APRA regulated banks, insurers and superannuation entitiesNotify APRA within 72 hours of becoming aware of a material information security incident; 10 business days for a material control weakness [19]Materiality judgements made late at night, with less evidence gathered while the attack is still running.
Privacy Act, Notifiable Data Breaches schemeMost organisations covered by the Privacy ActA reasonable and expeditious assessment of a suspected eligible data breach, within 30 days [17]Less risk to the deadline itself, more to the quality of the evidence. Logs lost or overwritten overnight are hard to recover.
Cyber Security Act 2024, ransomware payment reportBusinesses with annual turnover of A$3 million or more, and responsible entities for critical infrastructure72 hours from making a ransomware or extortion payment, or becoming aware one was made; enforcement phase from 1 January 2026 [20]Overnight decisions about extortion are made with less containment progress and less evidence.

Sources: Cyber and Infrastructure Security Centre [18]; APRA CPS 234 as summarised by Bright Law [19]; OAIC [17]; Clyde & Co [20]. This table is general information, not legal advice.

Two points deserve emphasis. First, these clocks generally start when you become aware of an incident. It is tempting to think a slower SOC buys time because awareness comes later. I would not want to make that argument to a regulator, and I would not want a board to rely on it. I would expect any regulator to ask when an organisation ought reasonably to have known. Second, the deadline is not the real risk. The real risk is submitting a report built on thin facts gathered by one tired person, then spending weeks correcting it.

Figure 10. Reporting windows against one unstaffed nightHours. The Notifiable Data Breaches 30 day assessment window is omitted for scale.
Data table
WindowHours
SOCI critical cyber incident report12
Pager model: unstaffed stretch each night (16:00 to 08:00)16
SOCI other cyber incident report72
APRA CPS 234 incident notification72
Ransomware payment report72

Sources: CISC [18]; APRA CPS 234 [19]; Clyde & Co [20]. Unstaffed stretch: Illustrative model

When does your incident start?

Pick a day and a time, in Australian local time. The calculator shows who would be working the incident under each model, when containment would typically begin, and how much of the 12-hour SOCI window would pass before the pager model's full team is back at a desk.

Five Eyes follow the sun

Analyst at a desk
Team on shift
North America
Containment begins
+23 min
Against 72 minute fastest exfiltration
Ahead of it
SOCI 12 hour report due
Sat 15:03
72 hour windows close
Tue 03:03

Local SOC with pager

Pager only
Who responds
One on call analyst
Containment begins
+65 min
Against 72 minute fastest exfiltration
7 min to spare
SOCI 12 hour report due
Sat 15:45
Full team back at a desk
Sat 08:00

Share of the 12 hour SOCI window gone before the full team is at a desk

This calculator needs scripts to run. Without them, the logic is simple: under the pager model, any start time between 16:00 and 08:00 is worked by one paged analyst until the team returns at 08:00.

Illustrative modelAssumes awareness when containment begins, the typical desk path of 23 minutes (Table 2), and the pager model staffed 08:00 to 16:00 every day including public holidays. Legal windows from CISC [18], APRA [19] and Clyde & Co [20]. Benchmark from Unit 42 [1].

Cost and resilience

It would be easy to make the cost argument sound one sided. It is not, and buyers deserve the honest version.

Keeping one seat occupied around the clock needs 8,760 hours of work a year. Under the National Employment Standards a full-time employee works 38 ordinary hours a week, with four weeks of annual leave and ten days of personal and carer's leave [29]. Take out leave, public holidays and a modest training allowance and each analyst delivers roughly 1,634 productive hours. The arithmetic follows in the table.

Table 4. Headcount to staff analyst seats, by model
ModelHours to cover a yearFTE for one seatFTE for two seatsWho works nights
Local pager model (8 hours a day)2,9201.83.6Nobody on shift; one person on call
Genuine local 24/7 roster8,7605.410.7Local analysts on night shifts
Five Eyes follow the sun (three regions)8,7605.4 (1.8 per region)10.7 (3.6 per region)Nobody

Illustrative modelProductive hours per full-time analyst: 1,976 ordinary hours (38 × 52) less 152 annual leave, 76 personal leave, 76 public holidays (assumed 10 days) and 38 training, giving 1,634. Leave entitlements from the National Employment Standards [29]. Excludes team leads, detection engineers, management and attrition backfill.

Figure 11. Analyst FTE needed, by modelSwitch between one seat and two. Two analysts on duty at all times is a sensible minimum, so nobody works an incident alone.
Data table
Model (two seats)Daytime FTEEvening and night FTE
Local pager model3.60 (on call)
Genuine local 24/73.67.1
Five Eyes follow the sun10.70

Illustrative modelDerived from Table 4. Totals may not sum exactly because of rounding.

Three things come out of those numbers. A genuine local 24/7 roster needs about three times the analysts of a day shift with a pager. That cost gap is the commercial reason the pager model exists, and why it is so often sold under a 24/7 label. Follow the sun needs the same total hours as a local 24/7 roster, so it is not free, but every one of those hours is worked in daylight, without night penalty rates, and a provider can spread the cost across many clients in a way a single organisation cannot.

Resilience is the part buyers underestimate. A small local team is exposed to a single point of failure in a way that is easy to miss on a sales slide. One analyst on sick leave, one flu season, one resignation, one regional power outage, flood or bushfire, and coverage collapses. A follow the sun SOC has other regions that can absorb load, and an Australian team working daylight hours with continuity cover from New Zealand reduces dependence on any single site.

The honest objections

I hear the same concerns about offshore analysts in almost every conversation, and most of them are legitimate. A follow the sun model has to earn trust on each one, and it does not help anyone if a provider waves them away.

Data sovereignty and residency come first. In a well-designed model, your security data stays where it is today, in Australian hosted platforms. Analysts in other countries access it remotely, under role based access controls, with every session logged and auditable. Nothing needs to be copied offshore for an analyst to triage an alert.

Privacy is more nuanced, and I would rather be precise than reassuring. The Office of the Australian Information Commissioner's guidance on Australian Privacy Principle 8 explains that providing personal information to an overseas recipient that is a separate legal entity is a cross border disclosure, that the reasonable step is usually an enforceable contract requiring the recipient to handle the information in line with the Australian Privacy Principles, and that under section 16C the Australian organisation generally remains accountable if the recipient breaches them [21]. Whether a given remote access arrangement counts as a disclosure is a question for your privacy counsel. A credible provider will put those contractual commitments on the table without being asked.

Table 5. Objections and how a credible follow the sun model answers them
ConcernWhat a good answer looks likeWhat it does not solve
Data residencyData stays in Australian hosted platforms; analysts access remotely; no bulk exportMetadata in global case management tools needs its own review
Privacy (APP 8)Enforceable contract, APP aligned handling, access minimised to what triage needsYour organisation stays accountable under section 16C
Sovereign or classified workloadsAustralian cleared staff only, segregated queuesSome workloads must remain onshore only, at higher cost
Handover qualityStructured handover records, overlapping shifts, one case record per incidentPoor discipline at handover can still lose context
AccountabilityOne named Australian service owner, one contract, one escalation pathNeeds governance and regular service reviews, not just a contract

Sources: OAIC APP Guidelines, Chapter 8 [21]; author's assessment.

Handover quality is the objection I take most seriously, because it is a real failure mode. Context can be lost between shifts. The answer is discipline: overlapping shifts so people talk rather than just write, a single case record that every region works from, and handover notes that are reviewed rather than filed. Ask to see them.

Accountability should be simple. You should have one contract, one named service owner in Australia and one escalation path, regardless of which region happens to be on shift.

The goal is not offshore or onshore. It is an awake, accountable analyst, with your data staying where you need it.

Grant Hutchons

A buyer's checklist

These are the questions I would ask any provider claiming 24/7 coverage, including my own team. Ask for written answers and evidence, not adjectives.

  1. At 03:00 on a Sunday, how many analysts are logged in and actively working the queue for my environment?Ask for a number, a location and a recent roster, not "we have 24/7 coverage".
  2. Which alerts page someone overnight, and what happens to everything below that threshold?If medium severity alerts wait until morning, you have a day shift with an alarm.
  3. What are your measured acknowledgement and containment times, split by business hours and after hours?A single blended average hides the night. Ask for twelve months of data.
  4. How many hours is a paged analyst expected to work after being woken?Then ask what happens the next day. Fatigue does not end when the incident does.
  5. Can your analysts contain without waking my team?Agree containment actions in advance, by asset class, so the clock is not spent waiting for approval.
  6. Where do my logs and case data live, and who can access them from where?Ask for the data flow, the access model and the audit evidence.
  7. What contractual privacy commitments apply to analysts outside Australia?Look for APP aligned handling terms and a clear answer on accountability.
  8. How is a live incident handed over between shifts?Ask to see an anonymised handover record and the overlap time between shifts.
  9. Who will help me meet a 12 hour SOCI or 72 hour CPS 234 deadline at 2 am?Ask who drafts the facts, who reviews them, and how quickly.
  10. What happens when your Australian site has an outage or an illness wave?Ask how another region takes the load and how quickly.

Where this leaves you

The evidence points one way. Attackers deliberately work when defenders are distracted or away. They move from foothold to stolen data in hours, sometimes in minutes. Australian law asks for facts in hours. And the people we ask to cover the night with a pager are working against their own biology.

A local SOC with a pager is not a bad thing to have. It is a reasonable model for some organisations, at some risk levels, if it is described honestly. The problem is the label. When "24/7" means an analyst is awake for a third of the week, buyers are making risk decisions on a misunderstanding, and boards are signing off coverage they do not have.

Ask the questions. Look at the roster. Compare the after hours numbers.

References

  1. Palo Alto Networks, "2026 Unit 42 Global Incident Response Report", blog, 17 February 2026. paloaltonetworks.com; see also Unit 42, "The Speed Gap: Where Strategy Meets Reality". unit42.paloaltonetworks.com
  2. Palo Alto Networks, "2025 Unit 42 Incident Response Report: Attacks Shift to Disruption", 25 February 2025. paloaltonetworks.com
  3. Palo Alto Networks, "Today's Attack Trends: Unit 42 Incident Response Report", 28 February 2024. paloaltonetworks.com
  4. Microsoft, Microsoft Digital Defense Report 2025. microsoft.com
  5. Microsoft On the Issues, "Extortion and ransomware drive over half of cyberattacks", October 2025. blogs.microsoft.com
  6. Microsoft Security Insider, "10 essential insights from the Microsoft Digital Defense Report 2024". microsoft.com
  7. Microsoft Digital Defense Report 2022, as reported by MSPoweruser, "Microsoft warns M365 users of growing phishing crimes in new Digital Defense Report". mspoweruser.com
  8. Microsoft Security Insider, "Holiday cyberattack risks for organisations", 9 December 2025. microsoft.com
  9. SentinelOne Labs, "Crimeware Trends: Ransomware Developers Turn to Intermittent Encryption to Evade Detection", 8 September 2022, updated 6 May 2025. sentinelone.com
  10. Palo Alto Networks, "The Ransomware Speed Crisis", 24 September 2025. paloaltonetworks.com
  11. IDC survey sponsored by FireEye, "Automating Threat Detection Desired for Security Analysts Battling Fear of Missing Incidents and Security Operations Center Inefficiency", Business Wire, 16 February 2021. businesswire.com
  12. Gartner, "Gartner Predicts Nearly Half of Cybersecurity Leaders Will Change Jobs by 2025", 22 February 2023. gartner.com
  13. Australian Signals Directorate, Annual Cyber Threat Report 2024 to 2025, as summarised by Cyber Daily. cyberdaily.au
  14. Australian Signals Directorate, Annual Cyber Threat Report 2024 to 2025: factsheet for critical infrastructure. cyber.gov.au
  15. Office of the Australian Information Commissioner, "Data breach notifications increase to all time high in 2025", 6 July 2026. oaic.gov.au
  16. Office of the Australian Information Commissioner, Notifiable Data Breaches Report, July to December 2024. oaic.gov.au
  17. Office of the Australian Information Commissioner, "The NDB scheme: an overview" (section 26WH assessment). oaic.gov.au
  18. Cyber and Infrastructure Security Centre, Mandatory Cyber Incident Reporting guidance. cisc.gov.au
  19. Bright Law, "Breach notification by APRA regulated institutions under CPS 234 Information Security". brightlaw.com.au
  20. Clyde & Co, "Introduction of Mandatory Ransomware and Cyber Extortion Payment Reporting", September 2025. clydeco.com
  21. Office of the Australian Information Commissioner, APP Guidelines Chapter 8: Cross border disclosure of personal information, version 1.3, October 2025. oaic.gov.au
  22. Williamson AM, Feyer AM. Moderate sleep deprivation produces impairments in cognitive and motor performance equivalent to legally prescribed levels of alcohol intoxication. Occupational and Environmental Medicine, 2000. pmc.ncbi.nlm.nih.gov
  23. Folkard S, Tucker P. Shift work, safety and productivity. Occupational Medicine, 2003. pubmed.ncbi.nlm.nih.gov; figures as summarised by Interdynamics
  24. Hilditch CJ, McHill AW. Sleep inertia: current insights. Nature and Science of Sleep, 2019;11:155 to 165. dovepress.com
  25. Hall SJ, Ferguson SA, Turner AI, Robertson SJ, Vincent GE, Aisbett B. The effect of working on call on stress physiology and sleep: a systematic review. Sleep Medicine Reviews. vuir.vu.edu.au
  26. International Agency for Research on Cancer, IARC Monographs Volume 124: Night Shift Work, questions and answers, 2019. iarc.who.int
  27. CISA, Advisory AA23 158A: CL0P Ransomware Gang Exploits CVE 2023 34362 MOVEit Vulnerability. cisa.gov
  28. CISA, "CISA and Partners Join ASD's ACSC to Release Advisory on PRC State Sponsored Group, APT 40", 8 July 2024. cisa.gov
  29. Fair Work Commission, National Employment Standards. fwc.gov.au

Vendor research is drawn only from Microsoft, Palo Alto Networks and SentinelOne, alongside analyst firms, Australian Government and regulator sources, and peer reviewed research. Modelled figures are labelled as illustrative throughout. Regulatory summaries are general information and not legal advice. Statistics were checked against the cited sources in October 2026.

About the Author

Grant Hutchons is APAC Director for Managed Security Services Engineering at LevelBlue. He specializes in Managed Detection and Response and targeted Co-Managed SOC solutions, helping organizations in healthcare, education, and government sectors enhance their cybersecurity posture. Follow Grant on LinkedIn.

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