Cybersecurity Self-Service Semantics Accelerator

With the advent of AI into everyday workstreams, businesses have turned their attention towards leveraging LLMs in their business operations for greater operational efficiency and furthering their strategic initiatives. However, this rapid shift towards AI is causing businesses to be increasingly vulnerable to cyber threats as they scramble to understand how to secure their data and AI estate.

Many organizations fail to realize the full potential of their data and the insights it can provide from a security perspective for proactive monitoring, cost management, and automated incident response. zeb’s Cybersecurity Self-Service Semantics Accelerator offers a game-changing solution to these challenges, enabling businesses to harness the power of their cybersecurity data like never before.

The Untapped Potential of Cybersecurity Data

Cybersecurity data presents itself in various forms such as SIEMS, SCIMS, transitional logs, operational logs, usage logs and telemetry data all contain information related to the usage and health of your data and infrastructure estate. This information is very granular and often hard to interpret on its own.

The Delta Lakehouse architecture on Databricks allows you to assimilate this data and make sense of such granular information while also preparing it to be fed into analytical and AI systems.