Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Organisations must adopt robust compliance strategies to align with the EU AI Act’s stringent requirements. This involves implementing effective data governance frameworks, ensuring data quality and integrity, and leveraging advanced data security solutions.

With the rapid evolution of artificial intelligence (AI), attackers are now leveraging machine learning (ML) to mount sophisticated attacks on Application Programming Interfaces (APIs). These AI-powered threats, including adaptive bots, automated vulnerability scanning, and synthetic identity generation, represent a new wave of risks that traditional defenses are unable to address effectively.

Generative AI is reshaping many aspects of our lives, from how we work and learn, to how we play and interact. Given that it's Security Week, it's a good time to think about some of the unintended consequences of this information revolution and the role that we play in bringing them about.

Imagine building an LLM-powered assistant trained on your developer documentation and some internal guides to quickly help customers, reduce support workload, and improve user experience. Sounds great, right? But what if sensitive data, such as employee details or internal discussions, is included in the data used to train the LLM?