AI-driven solutions for IT ops
Leveraging Feature Extraction and Semantic Search for Better Security
In machine-generated logs, such as those produced by IT systems, security tools, or network devices, the number of events of interest, such as threats or anomalies, is very low both in the training dataset and the production environment.
​
Therefore feature extraction and semantic search present a better approach than using the deep learning model directly for classification.
​
By using feature extraction to generate embeddings of the training data, you can capture the important features of the data and create a representation of the data in the form of embeddings. Then, by creating an index on the embedding vectors, you can efficiently search for similar instances in the production environment.
​
This approach has several benefits:
It can handle rare events better, as the focus is on finding similar instances rather than exact classification.
It can be more efficient than using the deep learning model directly for classification, as the index can be searched quickly and efficiently.
It can be more interpretable, as the similar instances found through semantic search can provide insights into the nature of the events.
​
Our AI-driven solutions are designed to help transform your IT operations by providing advanced feature extraction and semantic search capabilities. Whether you need to detect security threats, identify anomalies in network logs, or optimize your IT workflows, our solutions can help.
