Atomic interoperability assertions that back vendor and standards claims across the identity-aware AI security architecture.
Datadog’s Snowflake integration collects logs from Snowflake query history, security, and event tables and ingests Snowflake usage metrics, allowing enterprises to observe Snowflake query and security telemetry from Pillar B within Datadog’s Pillar D dashboards and alerting flows through a vendor-supported custom integration.
Weaviate exposes metrics and logs that can be collected by the Datadog Agent and surfaced through the Datadog Weaviate integration, letting organizations monitor Weaviate retrieval and write performance as Pillar B telemetry inside Datadog’s Pillar D monitoring and alerting environment via a vendor-supported custom integration pattern.
Pinecone offers a Datadog integration that sends metrics describing index health, throughput, and usage into Datadog dashboards, allowing organizations to monitor Pinecone vector retrieval performance as Pillar B telemetry within Datadog’s Pillar D observability and alerting workflows through a vendor-maintained custom integration.
Snowflake and Splunk support federated search patterns in which Splunk queries Snowflake data for incident response and SecOps use cases, allowing Snowflake-hosted security and retrieval telemetry from Pillar B to be analyzed inside Splunk Enterprise Security as a Pillar D SIEM without duplicating all data into Splunk indexes.