OpenAI
Use OpenAI models for grounded search, summarization, enrichment, and product workflows over Mach5 data.
Integrations
Bring models, streams, object stores, lakehouses, warehouses, SaaS systems, identity data, email, and workflow actions into one product-serving data layer.
Product-serving data layer
event search, timelines, dashboards
ingest, transform, enrich, backfill
fresh views, aggregates, materialized outputs
tenant-aware low-latency product APIs
bring source data into product and evidence context.
send approved updates through trusted workflow surfaces.
use integrations from streaming, query, AI, and product workflows.
Hosted and local models for grounded product workflows, search, summarization, and enrichment.
Use OpenAI models for grounded search, summarization, enrichment, and product workflows over Mach5 data.
Connect Claude models to security data, query context, and controlled workflow assistance.
Use Gemini models in product workflows that need grounded answers, charts, summaries, and enrichment.
Bring Qwen-family models into private or managed security data workflows.
Use Mistral models for AI-assisted search, summarization, and operational context over Mach5 data.
Run local models for private development, demos, and controlled AI workflows against Mach5 data.
Code, identity, teams, messages, and workflow notifications.
Bring repository, pull request, Actions, audit, issue, and security-alert data into product workloads.
Read conversations and audit data, then send notifications from trusted workflows.
Use identity events, users, groups, apps, sessions, policies, and lifecycle actions.
Kafka-compatible and cloud-native event streams for high-volume security telemetry.
Ingest high-volume operational streams and security telemetry into Mach5 workloads.
Use Redpanda-compatible Kafka streams for fast event ingestion and replayable product pipelines.
Connect managed Kafka topics for cloud-scale security and operational event pipelines.

Ingest from AWS-managed Kafka topics for cloud, identity, application, and telemetry workloads.

Use Event Hubs and its Kafka-compatible endpoint for Azure event streams and operational data.

Use Pub/Sub as the Google Cloud event backbone for product-backed investigation and telemetry flows.

Use Google-managed Apache Kafka for Kafka-native streaming pipelines on Google Cloud.
Open table formats and cloud data platforms for long-retention security data and product analytics.
Query and ingest Iceberg-backed data without forcing every dataset through a hot search path.

Use OneLake as a lakehouse source for operational evidence, long-retention data, and product analytics.

Bring BigLake-managed datasets into Mach5 evidence workflows and cross-source investigations.
Connect Cloudflare R2 and Iceberg-backed data to low-latency search, analytics, and product workloads.
Analytical systems and search platforms that Mach5 can enrich, query, migrate, or extend.

Use Snowflake data alongside Mach5 search and product workflows for enrichment and analytics.

Bring BigQuery datasets into dashboards, investigations, and product analytics workloads.
Connect lakehouse data and Delta/Iceberg tables to Mach5 product workloads and evidence views.
Query and migrate Elasticsearch-style workloads while preserving search semantics and product experiences.
Use OpenSearch-compatible APIs and migration paths for search workloads that need lower operational burden.
Use Trino integration paths for SQL access and interoperability with existing analytical environments.
Object data for ingest, preview, long retention, and product analytics.
List, read, preview, and ingest object data from S3-backed product workloads.
Use GCS buckets as product data sources without moving everything first.
Connect containers for object listing, streaming reads, and bounded previews.

Use S3-compatible MinIO buckets for local, private, or self-managed object-storage workloads.
Mailbox ingest and workflow-driven email delivery.