{"id":951,"date":"2026-11-01T15:10:00","date_gmt":"2026-11-01T15:10:00","guid":{"rendered":"https:\/\/pilottrainingus.com\/blog\/?p=951"},"modified":"2026-11-01T15:10:00","modified_gmt":"2026-11-01T15:10:00","slug":"datasecops-nine-figures-flight-data","status":"publish","type":"post","link":"https:\/\/pilottrainingus.com\/blog\/datasecops-nine-figures-flight-data\/","title":{"rendered":"DataSecOps by the Numbers: Nine Figures That Matter"},"content":{"rendered":"

A budget conversation about protecting student records at a flight school ends one of two ways: with assurances, or with figures. Assurances are free and therefore worthless in that room; figures force decisions. The discipline that supplies those figures is DataSecOps \u2014 the craft of guarding records while their contents and their readership keep shifting \u2014 and its practitioners argue from measurements the way a chief instructor argues from safety statistics. Below are nine numbers that carry the whole argument, drawn from published reports, court rulings and one worked example that any operation can copy with a spreadsheet and a database login. Read them in order and notice the pattern: the first four describe what happens to unprepared organisations, the next four describe what a prepared one measures about itself, and the last describes a limit nobody can negotiate with.<\/p>\n

DataSecOps arguments are settled by figures<\/h2>\n

Before the list, one framing rule. Every number below answers a question a board member, an insurer or an auditor will eventually ask: how bad can it get, how do attackers actually get in, and how would we prove we are protected? Vague answers lose those conversations. Precise ones win them, which is why an evidence-led practice keeps a scorecard rather than a slide of adjectives. The figures and their sources trace back to the Atlas page that catalogues DataSecOps<\/a>, which scopes the practice and names the reports behind it.<\/p>\n

The nine figures worth memorising<\/h2>\n
    \n
  1. USD 4.99 million.<\/strong> IBM’s 2026 study priced the average breach at this level \u2014 the highest its series has ever recorded. It sets the ceiling on what any prevention effort is worth, and it rises every year the discipline is ignored. A school business office can use it directly: prevention spending that looks expensive against a zero baseline looks frugal against this one.<\/li>\n
  2. 79.7 percent.<\/strong> In the 2024 wave of intrusions into cloud-data customers attributed to the group tracked as UNC5537, about four of every five compromised accounts had already surfaced in infostealer logs before attackers tried those logins. The front door was not broken; it was sold. Identity, not infrastructure, is where the defence has to live.<\/li>\n
  3. Up to four years.<\/strong> The longest interval those stolen credentials went without rotation. A password nobody re-issues is a key that every previous holder keeps forever, and “previous holder” includes every criminal who has ever copied a stolen database. Rotation schedules sound bureaucratic until this number is read aloud in a meeting.<\/li>\n
  4. Roughly 165 organisations.<\/strong> The count of companies that ultimately had to send breach notifications in that campaign. The data platform itself was never breached \u2014 the theft ran through legitimate logins issuing ordinary bulk-export commands, which is why multi-factor authentication heads every remediation list. Scale gives no immunity: the victims ranged from one-person shops to public companies, and the entry ticket was the same in every case.<\/li>\n
  5. 87.5 percent.<\/strong> A worked scorecard: 1,085 of 1,240 sensitive columns sat behind real controls at review time. Sound good? The audit will spend its entire visit on the other 12.5 percent, because that is where exposure lives. Track the ratio monthly and the direction of travel becomes visible long before an inspector arrives to chart it for you.<\/li>\n
  6. 17.1 percent.<\/strong> The share of read activity in the same example that still touched unprotected plain-text values. Coverage percentages hide this number; traffic measurements reveal it. A column can be fully protected on paper while the queries that matter run against a copy that never was.<\/li>\n
  7. 22.6 percent.<\/strong> Principals holding more access than their duties require: 212 out of 940 in the example. Nearly a quarter of the workforce, each one an avoidable question in an incident review. The fix is unglamorous \u2014 compare every principal’s actual grants against a written duty statement, and strip the difference.<\/li>\n
  8. 16.3 percent.<\/strong> Grants untouched for ninety days or longer \u2014 310 of 1,900 in the worked example. Dormant access is the quietest liability on any estate, and the cheapest to remove. Every departed instructor, seasonal contractor and forgotten vendor account shows up here first, which makes the number the earliest warning light on the panel.<\/li>\n
  9. 365 days.<\/strong> The retention window of Snowflake’s ACCESS_HISTORY, with queries appearing at up to three hours’ delay and failed attempts absent altogether. Evidence exists, but only inside those limits \u2014 plan investigations around them rather than discovering them mid-incident. Anything older than a year, or anything that failed silently, needs a second witness such as application logs, which is why the scorecard keeps its own records too.<\/li>\n<\/ol>\n

    Where the DataSecOps thresholds sit<\/h2>\n

    Figures only matter against thresholds, and two are published. Progressing past the classified stage of the maturity ladder requires real protections on more than half of tier-one tables. Clearing the enforced stage demands above ninety percent coverage plus the complete disappearance of hand-typed console policies \u2014 the kind that leave no record of who wrote them or when. The thirty-day starter plan attaches its own number: multi-factor authentication switched on before anything else gets built. Teams that track these three numbers monthly find the conversation with leadership changes tone within a quarter, because the estate stops being a feeling and becomes a trend line. The board stops asking whether the programme is working and starts asking what moved the percentage \u2014 a question with an answer in it.<\/p>\n

    Reading the figures without fooling yourself<\/h2>\n

    Two habits keep the scorecard honest. First, measure reads, not just rules \u2014 the 17.1 percent figure exists precisely because a policy that sits on a table nobody queries proves nothing. Second, date every number. Coverage drifts as tables multiply; staff turnover leaves dormant grants behind; a figure from last quarter describes a stranger’s estate. Re-run the whole scorecard on a fixed calendar date and keep the previous sheets, because a trend requires history and history requires filing discipline. Aviation people already think this way, which is why the paperwork side of training feels familiar to anyone who has gathered the documents required for flight school admission<\/a> or worked through a structured admission checklist<\/a> \u2014 every line item exists because somebody once assumed instead of checking. The nine figures above are the data-side equivalent: assumptions replaced with measurements. And when a colleague shrugs that none of this applies to a small operation, hand them the myth test that every school teaches its students about pilot training in the USA<\/a> \u2014 half-truths repeat until somebody checks them against numbers. The 4.99 million figure is the check. Everything else on this list is how to never meet it.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Nine numbers carry the protection argument: breach costs, credential attacks, coverage percentages, retention windows. What each DataSecOps figure demands.<\/p>\n","protected":false},"author":6,"featured_media":952,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[662],"tags":[],"class_list":["post-951","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-flight-training"],"_links":{"self":[{"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/posts\/951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/comments?post=951"}],"version-history":[{"count":1,"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/posts\/951\/revisions"}],"predecessor-version":[{"id":969,"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/posts\/951\/revisions\/969"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/media\/952"}],"wp:attachment":[{"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/media?parent=951"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/categories?post=951"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pilottrainingus.com\/blog\/wp-json\/wp\/v2\/tags?post=951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}