Data Management & Integrity
Supporting services
Also see:
Secure your organisation's key asset
Data-oriented services from ServerBright shift the focus away from what systems are doing, and towards the state of data. Why is this? There are a number of benefits in adjusting your perception of data. One is position and time. Is it where it should be, when it should be there?
Not having data ready, or waiting for a process to complete, provides a strong starting point for diagnosing systemic issues in your IT estate. But there are more methods that start with a focus on data health, that can ensure your systems are behaving properly, so your business can continue relying upon them.
Controlling exfiltration with AI
Increasingly, AI is seen as a panacea for advanced IT practices. Yet, we also see the problems inherrent with, effectively, mass-scale pattern-matching. People lower their guard when they think their "personal assistant" is truly personal, forgetting that stupendous datasets exist in order to train the models. These datasets are fed from users, who sometimes forget the importance of not sharing critical access details within the request (spoken or written).
The absense of controls in relation to data-sharing with AI chatbots is a concern that can be stopped in its tracks, if approached with a system-first mindset.
Is your backup any good?
Data integrity is another consideration which is frequently overlooked. Do you know, categorically, that the data one system is exporting will be identical to the data that another system is importing? If it goes through an ETL process, does the result of that process include all data, and all exceptions are logged?
Integrity, availability and confidentiality are of course all aspects of data security. But, operationally, and individually, how far is each tested to ensure correctness?