Information Classification.

InfoClass sensitivity labels will fail in their deployment if your model tries to account for every edge case. If you try to include too much detail, users end up with too many choices and too little confidence. More tiers create more friction, more inconsistency, and more room for misclassification. 
We can help you categorize and simplify. 

Problems arise when different teams handle similar information in different ways, but the taxonomy does not reflect that reality. The result is a framework that looks logical on paper and breaks the moment people try to use it. 

We design taxonomies acknowledging that business users are the primary owners of information and are best suited to label sensitive material. We also know labeling information allows IT and Security to better understand how data moves throughout and outside of your organization. 

Programs fail when employees are asked to classify information without enough examples, enough context, or enough confidence in the labels. That uncertainty leads to inconsistent decisions, wasted time, and weak adoption. 

Once a useful taxonomy is established, data protection controls and restrictions can be applied with precision and specific intent rather than a wide-net approach. ​
Our approach puts people and process first, enabling informed protection, enforceable controls, and reduced risk.

A sensitivity label alone does not tell people what to do next. If teams do not understand how classified data should be stored, shared, restricted, retained, or deleted, the label becomes decoration instead of direction.

In addition, classification and education can feel like one more burden unless the rollout is straightforward, role-aware, and backed by real change management. If the program disrupts business processes too early, users lose trust fast.

When you re-design your information classification program, we'll work through the whole roll-out process with you.