en.Wedoany.com Reported - Datadog has announced a range of new features and products at its annual DASH conference, aimed at helping enterprises enhance operational autonomy and reduce complexity in an industry environment accelerated by AI-driven transformation. DASH is the event where the company unveils new capabilities and deploys key integrations each year.

Datadog co-founder and CEO Olivier Pomel stated that AI introduces new operational challenges: code development has outpaced manual management scale, and malicious actors are leveraging AI to attack critical systems. However, AI is not the root cause of this complexity; it merely accelerates pre-existing issues. He noted that enterprises winning in the AI space will not only build better models but also establish operational controls around them.

Datadog co-founder and CTO Alexis Lê-Quôc pointed out that the company consistently invests approximately 30% of its revenue in R&D to understand and solve the daily challenges customers face in managing operational complexity. At DASH, Datadog released over 100 features aimed at providing customers with immediate visibility to detect and resolve critical issues as they arise.

The key new products announced include: Bits AI for true autonomous operations, AI Guard for protecting AI agents, Bring Your Own Cloud, and Bits Agent Builder with Agent Console.

Bits AI is Datadog's suite of agents for automating development, security, and operational workflows. Previously focused primarily on investigating root causes of issues, Bits AI now enables true autonomous operations through capabilities such as Bits Detection, Agent Evals, Infrastructure, Code, Release, Data Analysis, Testing, and Chat, becoming a reliable collaborative partner throughout the production lifecycle and development cycle. These updates allow Bits AI to scan infrastructure around the clock, automatically detecting, investigating, and fixing issues, all autonomously within predefined guardrails. Bits AI can also debug AI agents and generate remediation plans, tracking every release and pull request throughout the development cycle to verify they work as intended. The tool is accessible within platforms teams use daily, such as Slack and Claude.

AI Guard is a new feature from Datadog designed to protect AI agents. Datadog Vice President of Security Products Tim Knudsen explained that AI agents have high privileges, access sensitive data, and communicate externally; a single malicious instruction disguised as a harmless prompt can cause an agent to leak sensitive information. Attackers have learned to hide agent poisoning through subtle instructions, detectable only by deeply understanding multi-step agent behavior. The new AI Guard combines deep agent telemetry tracking with AI-native state behavior anomaly analysis to detect and block AI agent attacks that stateless prompt-response evaluations cannot identify.

The Bring Your Own Cloud feature allows the Datadog platform to be deployed within a customer's own environment, enabling data to be processed and indexed in the customer's cloud object storage. This addresses the dilemma enterprises face when AI data surges cause exponential log growth, forcing them to choose between high data retention costs and losing visibility after deletion.

Bits Agent Builder enables teams to create custom AI agents within Datadog to automate remediation and operational workflows, all within customer-defined governance. Simultaneously released, Agent Console provides centralized monitoring of AI agents and agent development tools such as Claude Code, Cursor, and GitHub Copilot. Lê-Quôc stated that while coding agents accelerate software development, a lack of visibility hinders understanding of their full impact. Agent Console provides the necessary visibility to answer key questions about user adoption, task performance, and the relationship between agent work and spending.

Datadog is the observability and security platform for the AI era, providing unified visibility across the technology stack to help enterprises manage complexity. The platform integrates applications, infrastructure, data, models, and security, leveraging AI to detect and resolve issues before they impact customers. It is trusted by Fortune 500 companies and AI leaders worldwide.

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