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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - 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Datadog achieves ISO 42001 certification for responsible AI
Aaron Ta, Joe Jones · 2026-03-26 · via Datadog | The Monitor blog
Aaron Ta

Aaron Ta

Joe Jones

Joe Jones

As AI-powered products and services become central to how organizations operate, the need for responsible AI governance has never been greater. Customers, partners, and regulators are seeking assurance that AI systems are built, managed, and monitored responsibly and effectively.

Datadog is committed to the responsible use of AI, both in how we build our products and in how we help customers observe their AI workloads. That’s why we’re pleased to announce that Datadog has achieved ISO 42001 certification, the international standard for responsible development and use of AI management systems (AIMS).

Earning our ISO 42001 certification

ISO 42001 is the first internationally recognized standard specifically designed for AI management systems. It establishes requirements for organizations to develop, implement, maintain, and continually improve AI management systems in ways that are ethical, transparent, and compliant with applicable laws. This certification helps provide assurance about Datadog’s controls across the full AI life cycle, from development and validation to deployment and monitoring.

What this means for your organization

Many organizations are now subject to emerging AI regulations, including the EU AI Act and various US state laws. Customers and auditors are also demanding proof that technology vendors manage AI responsibly. Datadog’s ISO 42001 certification helps demonstrate that our AI capabilities meet international standards for risk management, transparency, and continuous improvement across our platform, including:

Organizations today face an explosion of new AI offerings from vendors, often with little clarity about how those systems are built and governed. Datadog’s ISO 42001 certification simplifies vendor assessment and gives organizations a clear, third-party-verified benchmark. This certification also complements your organization’s own AI governance efforts. As you build or mature your internal AI policies and controls, Datadog’s AI governance program provides a documented foundation that supports your compliance obligations.

Our ongoing commitment to trust and accountability

At Datadog, earning your trust is foundational to everything we do. ISO 42001 joins a growing list of certifications and compliance programs that reflect our commitment to security, privacy, and responsible operations. These include ISO 27001, ISO 27701 Processor, HIPAA, PCI, and TISAX. Visit our Trust Hub for more information.