I would like to introduce the conference participants to the world of anomalies in the DevSecOps sector. This is a rich and colorful world that is not yet well explored.

During the presentation, I will discuss the basic groups and types of anomalies along with examples. I will demonstrate how a multimodal knowledge graph (MMKG) can be built from event streams, and I will focus on anomalies within this space and how their detection works using this structure. The final part of the presentation will explore the use of graph neural networks (GNN) to detect significant deviations from the norm.

Participants will expand their knowledge about anomalies in the DevSecOps sector and learn methods they can use to search for them effectively. Awareness and effective identification of anomalies is one of the key practices that reduces operational risk and increases the level of security in business.