Datadog launched new features and rolled out key integrations focused on driving autonomy and reducing complexity in an industry facing rapid AI-driven transformation.
Bits AI is Datadog’s suite of agents built to automate development, security and operational workflows.
“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,” said Alexis Lê-Quôc, co-founder and CTO at Datadog.
With these critical updates, Bits AI automatically detects, investigates and remediates issues by scanning infrastructure around the clock to surface issues, recommend fixes and resolve them. The whole process can happen autonomously using strong, pre-defined guardrails. And these capabilities aren’t limited to traditional systems and applications; with its new Agent Eval capabilities, Bits AI can debug and generate fixes for AI agents.
Bits AI also operates across the development loop by following each release and pull request from code change, staging and rollout through to production, and validates that it’s working the way it should be at every step of the way.
Bits AI is available on the tools teams use every day, like Slack and Claude, to keep workflows simple.
“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. But attackers have learned to hide agent poisoning using subtle instructions only detectable with a deep understanding across multiple steps of the agent’s behavior. 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,” said Tim Knudsen, Vice President of Security Products at Datadog.
Bring Your Own Cloud deploys the Datadog platform into a customer’s own environment so that data is processed and indexed in their cloud object storage.
With Bits Agent Builder, teams can create custom AI agents inside Datadog that automate remediation and operational workflows — resolving incidents, generating tailored reports and enforcing standards across environments — all within the controls defined by the customer. To help teams understand the business value of their agents, Datadog also announced Agent Console. This product provides centralized monitoring for AI agents and agentic developer tools like Claude Code, Cursor and GitHub Copilot.
“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,” said Lê-Quôc.
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