Cybersecurity

Where the Essential Cybersecurity Controls meet your data and AI platform

Security teams own the ECC. Data teams keep discovering they own half of it too, because the controls land on identity, logging, encryption and the third parties a pipeline calls.

Most audit findings on a data platform are access findings. Shared accounts and forgotten service credentials, not exotic attacks.
NCA ECCSDAIAPDPL

The short answer

The National Cybersecurity Authority's Essential Cybersecurity Controls set a baseline for national organisations across governance, defence, resilience and third party security. On a data and AI platform the controls that bite are identity and access management, encryption in transit and at rest, event logging and monitoring, secure development, and cloud and third party assurance.

Key takeaways

What you need to know, in a minute

  1. 01

    Identity is the perimeter

    Named identities, least privilege and periodic review beat network controls once analysts and services both query the same tables.

  2. 02

    Logs are only useful if they are queryable

    Access events need to answer who read which classified table, when, and from where, without a week of log archaeology.

  3. 03

    Third parties inherit your obligations

    Every managed service, model API and offshore support path is in scope. The pipeline that calls it is the one that exposes you.

  4. 04

    AI adds a new asset class

    Prompts, embeddings, vector stores and model outputs carry the classification of the data behind them and need the same controls.

From the text to what gets built

Each line is a published expectation and what we implement against it. None of this is legal advice or a compliance verdict.

AreaWhat it asks forWhat we build
Identity and accessControl and review who can reach what.Role and attribute based access on the warehouse, service identities without shared secrets, and access reviews driven from the catalogue.
CryptographyProtect data in transit and at rest.Managed keys with rotation, column level protection on sensitive attributes, and no plaintext copies in staging areas.
Event logs and monitoringCollect, protect and review security events.Access and query logs shipped to the security platform with the data classification attached, so alerts carry meaning.
Secure developmentBuild and change systems securely.Pipelines as reviewed code, secrets out of repositories, environments separated, and releases traceable to a change record.
Third party and cloudAssure the security of external providers.An inventory of every external service a pipeline or agent calls, what data class reaches it, and where it runs.
ResilienceKeep critical services recoverable.Tested restore of the platform and its metadata, not only of the raw storage bucket.

Access model rebuild

Shared logins and inherited grants replaced with roles tied to the data classification and reviewed on a schedule.

Audit ready logging

Query and access events enriched with classification and owner, retained where the auditor can read them.

AI asset controls

Vector stores, prompts and model logs brought under the same classification, retention and access rules as the source data.

Provider inventory

One list of external dependencies with data class, hosting location and the contract position for each.
Use cases

Where this applies in practice

Questions we get on NCA Essential Cybersecurity Controls

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