Datadog unveiled more than 100 new products and capabilities at its annual DASH conference, expanding its AI-powered observability and security platform to help organizations manage growing operational complexity and the rapid adoption of AI technologies. The new offerings are designed to provide customers with greater visibility and support increasingly autonomous workflows across the software development lifecycle and data infrastructure.
Among the key announcements was a major expansion of Bits AI, Datadog’s suite of AI agents. The enhanced platform now supports autonomous detection, investigation, and remediation of issues across infrastructure and development environments. New capabilities include Bits Detection, Agent Evals, Infrastructure, Code, Release, Data Analysis, Testing, and Chat, enabling the platform to automatically identify problems, recommend fixes, and in some cases resolve them within predefined guardrails. Datadog also introduced support for AI agent debugging and integrations with collaboration tools such as Slack and Claude.
The company launched AI Guard, a new security offering designed to detect and block attacks targeting AI agents. Datadog said AI Guard combines telemetry tracing and behavioral analysis to identify sophisticated prompt injection and agent poisoning attempts that traditional stateless systems may miss. Another major addition, Bring Your Own Cloud, enables customers to process and index observability data within their own cloud object storage environments to help manage rapidly increasing log volumes and associated costs.
Datadog also introduced Bits Agent Builder, allowing organizations to create custom AI agents for operational workflows and automated remediation. Complementing this capability is Agent Console, which provides centralized monitoring and analytics for AI agents and coding tools such as Claude Code, Cursor, and GitHub Copilot. Datadog said the new capabilities are aimed at helping customers better understand the impact of AI agents on productivity and spending while maintaining operational control in increasingly complex environments.
KEY QUOTES:
“AI has created new operational challenges where code development has outpaced human-scale management and malicious actors now use AI to attack critical systems. But AI didn’t create this complexity, it accelerated what was already there. The companies that win on AI won’t just build better models, they’ll build operational control around them.”
Olivier Pomel, Co-Founder And CEO, Datadog
“We consistently invest about 30% of revenue into R&D, which is why we are able to deeply understand and solve the problems our customers face every day in managing operational complexity. At DASH, we launched 100+ capabilities unified around one goal: giving customers the visibility they need to find and fix the issues that matter most, the moment they matter.”
Alexis Lê-Quôc, Co-Founder And CTO, Datadog
“To date, Datadog’s Bits AI has focused on investigating the root cause of issues. Now, with Bits Detection, Agent Evals, Infrastructure, Code, Release, Data Analysis, Testing and Chat, Bits AI is capable of truly autonomous operations, becoming a reliable teammate that operates across every stage of the production lifecycle and development loop.”
Alexis Lê-Quôc, Co-Founder And CTO, Datadog
“With AI agents operating with elevated privileges, accessing sensitive data, and communicating externally, a single malicious prompt hidden in an innocuous-appearing prompt can turn a well-intended agent into a malicious actor leaking sensitive information, costing millions in reputational damage and data loss. Datadog’s new AI Guard uses a unique combination of deep agent telemetry tracing and AI-native stateful behavioral anomaly analysis to detect and block AI agent attacks otherwise missed by stateless prompt-and-response evaluation.”
Tim Knudsen, Vice President Of Security Products, Datadog
“While there is no doubt coding agents are speeding software development, a lack of visibility makes it difficult to know the full impact these agents have on the business. Agent Console provides the needed visibility to answer the key questions for users about the heaviest adopters of agents, the tasks that agents perform best and where they struggle, and how the work produced by agents correlates with spend.”
Alexis Lê-Quôc, Co-Founder And CTO, Datadog
