Datadog
Datadog Blog
Datadog shipped a busy 90 days pushing deeper into AI-native security, autonomous observability, and infrastructure-as-code governance. The platform expanded threat detection to serverless and AI agent workloads—adding runtime protection for Python Lambda functions, launching an open source AI-native SAST tool, and shipping AI Guard to defend agentic applications against unsafe model behavior. On the operations side, Bits AI agents gained reasoning improvements and broader data source access, while new integrations with ServiceNow and Recorded Future let teams correlate security and incident response workflows. Terraform provider v4.0.0 tightened monitor governance and AWS integration controls, and natural language querying arrived in Resource Catalog so engineers can search cloud infrastructure without syntax overhead.
March focused on expanding observability across infrastructure, AI, and security. The month shipped integrations for Nutanix, Juniper Mist, Aruba Central, and Oracle Fusion Cloud Applications, alongside a redesigned Host Map for real-time hierarchical infrastructure visibility. AI capabilities deepened with an upgraded Bits AI SRE featuring stronger reasoning and expanded data sources, a new Bits AI Dev Agent for automated vulnerability remediation, and natural language querying in Resource Catalog. Security hardening included ISO 42001 certification for responsible AI, Cloud SIEM enhancements with AI-powered investigations, and OCI resource protection. The Datadog Terraform provider reached v4.0.0 with improved monitor governance and AWS integration security. Kubernetes support evolved to use native OpenTelemetry data in the Explorer and added Karpenter monitoring across multiple tools.