| 1 · Ad hoc | The list of internet-facing systems lives in a spreadsheet, or in three spreadsheets that disagree with one another. Discovery happens when something breaks, when an auditor asks, or when a subsidiary is acquired and somebody wonders what came with it. Nobody in the room would defend the list as current. | “What do we actually have?” — and therefore every question after it. A finding cannot be prioritised against an inventory nobody trusts, so severity arguments quietly become arguments about whether the asset is even ours. | One list with an owner, built from the outside in — derived from the apex domains the organisation trades under rather than assembled from what the estate is believed to contain. The distance between those two things is the entire reason this level exists. |
| What puts an otherwise well-run security team here is rarely negligence. Acquisitions, regional subsidiaries and a decade of marketing microsites each add estate nobody was ever asked to hold, and past a certain size the list stops fitting in anybody’s head. |
| 2 · Inventoried | A maintained list and a scan against it on a cycle — quarterly, or annually in the weeks before an audit. The scope is defined by a person, the report carries a date, and between one report and the next the record is silent. | What appeared, opened or changed between the scans, and what the list never carried in the first place. A scan is evidence about a scope. It is not evidence about an estate, and the difference only shows up after an incident. | Discovery that derives the scope instead of accepting it: starting at the apex domain and resolving outwards, so a host nobody remembered to add is still found. Attribution matters more than discovery at this step — a host tied to the wrong company is a finding somebody can disprove in a meeting. |
| There is a real reason to stop here: a dated report against a defined scope is the artefact an audit asks to see. Producing that artefact and knowing what you own are different achievements, and only one of them is examined on a cycle — nothing on this page decides whether any particular obligation is met. |
| 3 · Monitored | Outside-in discovery running continuously, with nobody scheduling it. Every asset carries the date it entered scope and, where it has gone, the date it left. A change arrives as a dated finding with an owner rather than as a movement in a score. | Which of these matters this week. Everything is dated and nothing is ranked, so the queue grows faster than anyone works it. It is also silent on exposure that does not present as a host — a credential in a stealer log, a look-alike domain, a file in a bucket nobody listed. | Joining what is observed on one surface to what is observed on the others, so that separate observations about the same asset stop arriving as separate pieces of work in separate queues. |
| This is the level at which “when did you know” becomes answerable, and the first level a review cycle structurally cannot reach: between two annual reviews there is nothing to date. |
| 4 · Correlated | Findings resolve into one correlated exposure model. A credential in a stealer log, an administrative interface that stopped presenting a second factor, and a certificate about to expire on the same host arrive as one item with one owner and one priority — not as three tickets raised by three tools in three weeks. | Whether what looks reachable actually is. Correlation raises confidence in what matters and orders the queue accordingly, but a prioritised list is still a list of inferences, and the application team knows it. | Validation — and, before validation, the authorisation to perform it. This is the step at which the constraint stops being technical and starts being a conversation with whoever owns the system. |
| Prioritisation is the stage almost every published treatment of exposure management skips, because it is the one that cannot be bought as a feed. It is also the stage at which a security team stops having to argue that a finding is real. |
| 5 · Validated | Exposure is tested rather than inferred, where it is safe and authorised: Continuous Automated Red-Teaming against your own estate, bounded to inventory that discovery has already found and attributed to you. Each finding states which kind of evidence it is — validated, or observed and not validated. | Whether anything was fixed. A validated finding is a better finding; it is not an outcome. A programme can validate impeccably for a year while the same three issues stay open, and the reporting will look excellent throughout. | A recorded disposition on every finding, with a named owner and a date — and the discipline to keep the ones that were not fixed in the record rather than closing them quietly at quarter end. |
| Validation is bounded on purpose, and a model that implies otherwise is describing something nobody should buy. It runs against your own estate; testing a third party’s systems needs authorisation from the party that owns them, which in a supplier relationship is not yours to give. |
| 6 · Closed | Every finding reaches a recorded end state: fixed and re-checked, accepted in writing by a named owner with a review date, or shown to belong to somebody else. The record keeps the surfaces that were examined and returned nothing, and the occasions your own service levels were missed. | Nothing further about your exposure — but it will not tell you whether this level was worth reaching in the area you reached it in. That question is the next section, and it is the one a maturity model usually declines to ask. | Nothing sits above it. The work at this level is holding it: a level reached in one quarter and dropped in the next was a project, not a programme. |
| Most maturity models stop at validation, because closure is the level a vendor cannot sell and the only one a board can see. It is also the level that makes the five below it worth the money — a queue nobody terminates is an expensive way to be told the same thing repeatedly. |