Connector discovery
Confirm the source events, API limits, authentication, timestamps, identifiers, failure behaviour, data sensitivity and operational owner before choosing an ingestion pattern.
Close observability gaps
Build governed ingestion for applications that do not expose a usable security integration out of the box.
Integration patterns
Confirm the source events, API limits, authentication, timestamps, identifiers, failure behaviour, data sensitivity and operational owner before choosing an ingestion pattern.
Depending on the source, MAITS can implement REST API collection, webhook events, syslog, Azure Event Hub, Log Analytics ingestion, scheduled polling, application telemetry or custom API collectors.
A connector needs health monitoring, checkpointing, retry and duplicate handling, schema-change controls, credential rotation, cost management and an accountable support path.
These patterns most often close gaps left by business apps, identity platforms, custom APIs, credential systems, SaaS applications, operational systems and audit stores—the same source diversity described under monitoring coverage.
Connector support is confirmed and built for the engagement. This site does not claim a library of prebuilt integrations that does not yet exist.
Apply the model
Start with the risk, available telemetry, accountable owner and proportionate response.
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