Datadog

Recently shipped the Runtime Prioritization Engine, agentic security detection, OTel-native data paths, and FedRAMP High Agent certification.

The Runtime Prioritization Engine reorders security findings by live runtime context, so teams act on the vulnerabilities that matter in production rather than relying on static severity alone.

Cloud SIEM gained a two-stage AI detection pipeline: a small state-space model (Mambark) pretrained on audit logs scores every event and forwards only the most suspicious ones to an AI agent for deeper investigation. It's currently in testing with design partners.

OpenTelemetry-native data now flows from ingestion through investigation, with OTLP paths feeding Dashboards, Monitors, and APM so telemetry from OTel collectors and SDKs needs no conversion.

The Agent achieved FedRAMP High certification. Observability Pipelines added Google SecOps packs that normalize firewall, endpoint, and identity logs to the UDM schema. Datadog can also be provisioned on Stripe Projects, with billing through an existing Stripe account.

Browser SDK v7.7.0 added dedicated Shopify, React Router, and Vue Router bundles plus opt-in WebSocket resource tracking. dd-trace-js emits LLM Observability experiment traces, reports OTLP export status, and extended Test Optimization to Vitest Browser Mode and WebdriverIO. Agent 7.81.x patches refined v3 intake behavior for non-Datadog metric endpoints.