Organizations’ adoption of SaaS services and expansive multicloud
application architectures continues to expand as threat actors take
advantage of the complexity to seek out weaknesses that allow them
entry and access to critical assets. The security information and event
management (SIEM) and observability landscapes are evolving as the
desire to ingest and analyze increasing amounts of structured and
unstructured data has become crucial.

The continued increase in the adoption of SaaS and modular application
architectures is generating a massive number of signals that can help
identify, resolve, and predict security and performance problems that
impact the customer experience (CX). Often, developer, security, and
operations teams require the same data (metrics, logs, traces, events)
to identify security and performance problems. In addition, these teams
can accelerate and improve collaboration, automate more processes,
and identify and resolve problems faster using a single platform. Add the
use of advanced AI technologies to the unified data lake, and the value
substantially increases across people, process, technology, and business
outcomes.