Datadog Announces Over 100 New Features and Enhancements to Support Autonomous Operations Amid Growing AI and Security Complexity

NEW YORK – Datadog, Inc., a leading observability and security platform for AI-powered applications, today announced its latest features and technology at its annual conference, 'DASH'. DASH is Datadog’s annual conference where the company unveils new features and major integrations focused on increasing autonomy and reducing complexity in an industry undergoing rapid transformation driven by AI.

Olivier Pomel, Co-founder and CEO of Datadog, stated: 'AI has created a new operational challenge where the speed of code development exceeds human management capabilities. Furthermore, malicious actors are leveraging AI to target critical systems. However, AI did not create this complexity; it merely accelerated it. Companies that succeed in the AI era are not those that build better models, but those that build the management infrastructure to operate those models correctly.'

Alexis Lê-Quôc, Co-founder and CTO of Datadog, stated: 'Datadog continuously invests approximately 30% of its revenue in R&D. This allows us to deeply understand and solve the complex operational challenges our customers face every day. At DASH, with the goal of 'providing visibility so that customers can discover and resolve the most important problems at the right time,' we have announced over 100 new features and enhancements.'

Key new products announced at DASH include:

## Bits AI Achieves True Autonomy in Incident Response and Development
Bits AI is Datadog’s suite of AI agents built to automate development, security, and operations workflows. Lê-Quôc remarked: 'Previously, Datadog’s Bits AI focused on investigating root causes. However, with the addition of Bits Detection, Agent Evals, Infrastructure, Code, Release, Data Analysis, Testing, and Chat, Bits AI can now achieve truly autonomous operations. This transforms Bits AI into a reliable colleague that works across the entire production and development lifecycle.'

This major update allows Bits AI to monitor infrastructure 24/7, automatically detecting, investigating, and remediating issues. It handles everything from problem discovery to remediation proposals and resolution, advancing the entire process autonomously under powerful, pre-defined guardrails. These capabilities extend beyond traditional systems to AI agents themselves; with the newly added Agent Evals, Bits AI assists in everything from debugging AI agents to generating fix code.

Furthermore, Bits AI tracks each release and pull request throughout the development lifecycle—from code changes to staging, release, and production—verifying that each stage functions as expected. Bits AI is available within tools development teams use daily, such as Slack and Claude, keeping workflows simple.

## Protecting AI Agents with AI Guard
Tim Knudson, VP of Security Products at Datadog, stated: 'AI agents possess high privileges, access to sensitive data, and external communication capabilities. A single malicious instruction hidden in an seemingly harmless prompt can turn an otherwise harmless agent into a dangerous entity leaking sensitive information, potentially costing companies millions of dollars in reputational damage and data loss. Attackers are increasingly sophisticated, using subtle instructions that are hard to detect without deep understanding of the agent’s behavior. Datadog’s new AI Guard combines detailed telemetry traces of agents with stateful behavioral anomaly analysis specifically designed for AI. This enables the detection and defense against attacks on AI agents that are often missed by traditional stateless prompt-response evaluations.'