Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As businesses increasingly focus on their environmental, social, and governance (ESG) performance, the data behind these efforts is becoming as important as financial information. This shift, along with using AI to analyse and report on sustainability metrics, has introduced new cybersecurity risks. Protecting this sensitive data isn't just an option anymore; it's a core part of corporate responsibility and managing risk. With AI involved, the potential for sophisticated data manipulation introduces AI as an emerging risk dimension that security teams need to deal with.

When organisations design security strategies, they often focus on building a fortress to keep external threats out. However, some of the biggest risks to data integrity don't come from outside; they start within. Securing a data pipeline, the complex system that moves information from source to destination, needs strong defences against internal threats, whether they're intentional or accidental.