
LIS is the behavior-aware intelligence capability within the MOSAIC Strata ecosystem. It is being developed to identify meaningful changes across users, systems, and operating conditions while reducing unnecessary noise and preserving the context needed for defensible security decisions.
Rather than treating every deviation as an isolated alert, LIS is designed to evaluate behavior alongside system state, operational context, and supporting evidence.
LIS is designed to identify meaningful changes in activity while considering the surrounding context in which they occur.
System state, operational conditions, and related evidence help LIS distinguish meaningful security concerns from ordinary variation.
LIS supports governed investigation workflows designed to provide deeper understanding while preserving accountability and operational control.
Security teams often receive more information than they can reasonably evaluate. LIS is being built to help organize that information around behavior, context, and evidence so operators can focus on conditions that may genuinely require attention.
LIS focuses on behavioral and operational changes that may affect security rather than treating every difference as equally important.
Contextual analysis is used to limit unnecessary escalation and help security teams concentrate on higher-value information.
Findings are connected to supporting conditions and evidence so conclusions can be reviewed, explained, and governed.
LIS is being developed to help organizations interpret meaningful behavior, preserve operational context, and support clearer, evidence-backed security decisions