Security operations rely on logs, alerts, and event data, yet these sources are rarely managed with the same structure, governance, or planning as other organisational data. When Security and Compliance and your data treatment don’t align, the amount of data gathered can become costly, you start looking for that needle in a haystack when you have to analyse your data, or even worse, do a post-mortem after a breach.

In this session, we’ll explore the gaps that appear when data practices are not applied to security products and telemetry. The absence of well-defined data models, retention policies, and optimised queries leads to operational blind spots and unnecessary cost. Leadership often assumes security tooling automatically manages data quality and structure, but advanced analytics, accurate reporting, and faster investigations all depend on intentional data design.

Practical examples will illustrate how structured approaches improve event analysis: visualising anomalies, determining what data to collect, and designing queries that support both investigations and long-term reporting. Regardless of which security product or platform your organisation uses, defining your security and compliance standards allows your data to better support and strengthen detection, reporting and incident response.

We will show you how basic data principles such as retention strategies, clear schemas, governed access, and efficient queries, can provide you the foundation for reliable, actionable and data-driven security operations across your organisation.