Datadog Introduces New Bits AI and AI Guard Capabilities at DASH

Datadog, Inc. introduced new observability and security capabilities at DASH, focusing on automation for incident and development actions, protections for AI agents, and deployment options for data processing. The changes address operational and security challenges tied to managing complexity as AI usage grows.

The company said code development has outpaced human-scale management and that malicious actors use AI to attack critical systems. It also cited an increase in logs as AI volumes rise, creating a decision between keeping data and absorbing cost or deleting data and losing visibility.

Bits AI, described as a suite of agents that automate development, security and operational workflows, was expanded from investigating root causes to autonomous detection, investigation and remediation. The updates include Detection, Agent Evals, Infrastructure, Code, Release, Data Analysis, Testing and Chat, along with the ability to follow a release and pull request through staging and rollout and validate behavior at each step.

Datadog also introduced AI Guard to detect and block AI agent attacks using deep agent telemetry tracing and AI-native stateful behavioral anomaly analysis. For data control, it launched Bring Your Own Cloud, which deploys the Datadog platform into a customer’s own environment so data is processed and indexed in their cloud storage. The company said Bits Agent Builder enables custom agent creation within Datadog, and Agent Console provides centralized monitoring for AI agents and agentic developer tools.

“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,” said Olivier Pomel, co-founder and CEO at 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,” said Alexis Lê-Quôc. “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. “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. Forward-looking statements in the release addressed potential benefits of new products and features.

Provided by Globe Newswire on behalf of Datadog. Click to read original content.