Detect vulnerabilities in LLM applications with Datadog’s AI-native SAST
Datadog Code Security’s AI-native SAST helps detect vulnerabilities specific to the OWASP Top 10 for LLM Applications before they reach production.
Also shipped Aug 20, 2026Datadog in August 2026 →
BigQuery adds ML.TREND, ML.SEASONALITY and ML.DETECT_CHANGE_POINTS in preview
New table-valued functions in the query editor and conversational analytics identify trends, repeating seasonal patterns and structural change points in time series data.
BigQuery Graph core processing limited to Enterprise editions from April 26, 2027
Standard edition and on-demand billing support for BigQuery Graph core graph processing is deprecated, with processing restricted to Enterprise and Enterprise Plus from April 26, 2027. Graph measures remain available except in Standard edition.
The run_bq_command tool exposes the bq command-line tool within the Cloud CLI remote MCP server
The run_bq_command tool exposes the bq command-line tool within the Cloud CLI remote MCP server. AI agents can now execute advanced BigQuery operations, such as job scheduling, job management, and reservation management, through a managed MCP endpoint. For more information, see Use the Cloud CLI remote MCP server . This feature is in Preview .
AI_EXTRACT and AI_PARSE_DOCUMENT support for client-side encrypted stages and network-restricted accounts (General availability)
AI_EXTRACT and AI_PARSE_DOCUMENT now support documents stored on stages that use client-side or server-side encryption, including in accounts that use PrivateLink or other network policies that restrict public network access to stages. For more information, see the following topics:
Cortex Agent code execution tool (Preview)
The Cortex Agent code execution tool is now in public preview. When you enable the tool on an agent, the agent can generate and run Python in a secure, isolated sandbox to process data, perform calculations, and produce visualizations.
Salesforce connector mTLS authentication is now generally available
Mutual TLS (mTLS) authentication for the Salesforce connector in Lakeflow Connect is now generally available. With mTLS, Databricks and Salesforce exchange and verify client certificates to establish two-way trust, combined with the OAuth client credentials flow. Choose it for API-only users or when your organization requires mTLS.
More from DatadogEvery Datadog release →
Centralize human and agentic work with Datadog Work Management
Learn how Datadog Work Management helps you coordinate human and AI agent–driven work while preserving context, ownership, and activity across tools.
Trace AWS Lambda durable functions with Datadog
Trace AWS Lambda durable executions across invocations to investigate operations, retries, failures, waits, and function status in Datadog.
Monitor Azure Functions across every hosting plan with Datadog
Trace requests, get enhanced CPU metrics, and profile code across Azure Functions hosting plans with Datadog Serverless Monitoring.
Avoid Azure secret rotation with secretless authentication
Learn how secretless authentication for Datadog’s Azure integration helps prevent telemetry interruptions that result from expired client secrets.
Investigate account-level churn risk with Product Analytics account segments
Learn how Product Analytics account segments combine business context and product behavior to identify accounts that may be at risk of churn.
Instrument serverless apps with agentic onboarding
Use Datadog agentic onboarding to instrument AWS Lambda, Google Cloud Run, and Azure Container Apps from an AI assistant or CLI.
Troubleshoot and secure your code faster with Datadog’s Bitbucket Cloud Source Code integration
Connect Bitbucket Cloud to Datadog to troubleshoot with source code in context and surface test, quality, and security feedback in pull requests.
Build and run Datadog workflows from Bits Chat or AI agents
Build, debug, and run Datadog workflows from Bits Chat and AI coding agents using the operational and development context where you’re working.