Securing modern systems means spotting real risk in a sea of findings, investigating threats faster, and meeting compliance demands without bolting on separate tools. At this year’s DASH, we made announcements that bring AI-assisted investigation and remediation across the security life cycle—from code and cloud to APIs and sensitive data—alongside expanded SIEM coverage and a modernized approach to authentication and governance.
With Datadog, you can now automate threat hunts and SIEM investigations with Bits agents, fix vulnerable dependencies directly from a finding, and secure your most sensitive workloads with FedRAMP High–certified observability. These features and many others help teams stay ahead of threats while keeping security context in familiar workflow territory. Explore everything new in security and compliance below, and see our other roundup posts for the latest in AI, observability, and scale.
Prioritize and route real risk with Datadog Security
Let agents run day-to-day security operations with the MCP Security toolset
The Datadog Security MCP toolset enables AI agents such as Claude Code, OpenAI Codex, and Cursor to securely access Datadog security context through the remote Datadog MCP Server. After launching with read-only capabilities earlier this year, the Security MCP toolset now includes expanded tools for SQL-powered reads, detection rule management, suppressions, triage, and ticketing workflows. With these new capabilities, teams can bring AI-assisted investigation and remediation into their existing security operations. Agents can help surface relevant context, prioritize what needs attention, and take governed actions while Datadog remains the source of truth for security data, detections, and controls. Read our Security MCP Tools documentation to get started.
