Access Control Review
Finding who can actually reach what, which in most estates is considerably more people and services than anyone expects.
Most data exposure is not a break-in. It is an over-permissioned account, a copy of production in a test environment, or a backup nobody knew was reachable. Nextherrion works on the data layer directly — who can reach what, what is encrypted, what is logged, and what non-production environments are allowed to hold.
Access control, encryption, masking, auditing and the environment hygiene that closes the most common routes to exposure.
Finding who can actually reach what, which in most estates is considerably more people and services than anyone expects.
Reducing permissions to what each account and service genuinely needs, including the shared credentials nobody will admit to using.
Encryption applied consistently, with key management handled properly — since keys stored beside the data protect nothing.
Non-production environments holding realistic but not real data, closing one of the most common and least discussed exposure routes.
Recording who accessed what, retained long enough to be useful during an investigation rather than rotated away first.
Backups encrypted, access-controlled and restore-tested — a readable backup is a full copy of your data with weaker protection.
Configuration, patching and default settings reviewed, since databases ship configured for convenience rather than for exposure.
Mapping controls to the data-protection obligations that apply to you, so evidence exists before it is requested.
No. Most exposure comes from inside the perimeter — over-permissioned accounts, production copies in test, reachable backups. The data layer needs its own controls.
Almost always. Non-production usually has weaker access control and more people with access, which makes it the easier target.
Marginally, and modern implementations are largely transparent. The harder question is key management, which is where encryption usually fails in practice.
Long enough to investigate an incident you have not noticed yet — which is generally longer than default retention allows.
It can, which is why changes are staged and monitored. Finding out what was quietly relying on excessive permissions is part of the value.
With discovery — what sensitive data exists and who can reach it. Most organizations are surprised by the answer, and it sets the priorities.
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.















Start with a discovery review. The answer usually sets the priorities on its own.