Automated traffic flow discovery

Manual traffic analysis captures only 60–70% of flows. Point-in-time captures miss scheduled processes and periodic activities.

Mugato continuously monitors all network and application communications without agents, capturing actual traffic patterns, protocols, frequency and data volume. You see intermittent processes, scheduled activities and rare but critical communications that point-in-time tools miss. Complete visibility into actual behavior prevents both under-segmentation that leaves security gaps and over-segmentation that blocks legitimate business functions.

Data-driven segmentation rule definition

Rules based on estimates and outdated documentation either break legitimate applications or fail to provide adequate security protection.

Mugato provides dedicated API views and templates that define precise segmentation rules based on observed traffic patterns. The platform tells you exactly what needs to be open, in which direction, between which endpoints, at which port and process level. Output can be formatted according to your segmentation platform, giving you rules grounded in actual behavior, not tribal knowledge.

Continuous rule lifecycle management

Static rules become outdated as environments change over months and years, creating security gaps that go undetected.

Mugato’s temporal data shows which connections have stopped, enabling teams to identify and remove stale rules for communications that no longer exist. As new assets deploy and applications evolve, updated traffic data defines the new rules needed. A simple policy of “remove rules for connections not seen in 6–12 months” keeps segmentation from decaying over time.

Optimal segmentation granularity

Teams are stuck between inadequate protection and unmanageable complexity, either too permissive or too restrictive.

Asset-by-asset behavioral analysis determines appropriate segmentation levels based on actual dependencies and business functions. Mugato ensures granular protection where needed while avoiding excessive complexity. Right-sized segmentation achieves security objectives without creating unmanageable policy sprawl or requiring excessive operational overhead to maintain.

Accelerated stakeholder validation

Validating segmentation policies takes months because teams lack concrete data about actual traffic patterns.

Mugato provides application owners with concrete, observed traffic data showing actual communication patterns, frequency and dependencies. Factual evidence replaces manual discovery interviews, shortening validation cycles from months to weeks. Data-driven validation eliminates debate, accelerating deployment timelines while ensuring policies protect without disrupting operations.