Datadog unveils 100+ features at DASH, pushing Bits AI toward autonomous operations

Datadog launches more than 100 features at DASH to push autonomous AI ops

Datadog launches more than 100 features at DASH to push autonomous AI ops Observability and security platform company Datadog Inc. today unveiled more than 100 new capabilities at its annual DASH 2026 conference, headlined by a major expansion of its Bits AI agents that the company says can now run operations autonomously across the software development lifecycle. The releases center on two pressures Datadog argues are reshaping enterprise technology: code being generated faster than humans can manage it and attackers using artificial intelligence to go after critical systems. The company is pitching deeper automation and broader visibility as the answer to both. Bits AI, Datadog's suite of agents for development, security and operational work, is the centerpiece. Previously focused on investigating the root cause of issues, it gains modules including Bits Detection, Agent Evals, Infrastructure, Code, Release, Data Analysis, Testing and Chat. Together they let the agents detect, investigate and remediate problems by scanning infrastructure around the clock, recommending fixes and resolving them under predefined guardrails. The new Agent Eval feature also lets Bits AI debug and generate fixes for AI agents. Bits AI runs inside tools teams already use, including Slack and Anthropic PBC's Claude. On the security side, Datadog introduced AI Guard, which targets prompt injection and agent poisoning attacks. The product combines agent telemetry tracing with behavioral anomaly analysis to spot and block attacks that single prompt-and-response checks miss. "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," said Tim Knudsen, vice president of security products at Datadog. The company also addressed the cost of soaring log volumes with Bring Your Own Cloud, which deploys its platform inside a customer's own environment so data is processed and indexed in their cloud object storage rather than moved out. The approach is aimed at companies forced to choose between retaining data and absorbing the expense or deleting it and losing visibility. Two further releases focus on agent oversight. Bits Agent Builder lets teams build custom AI agents inside Datadog to automate remediation, generate reports and enforce standards within customer-defined controls. Agent Console provides centralized monitoring for AI agents and agentic developer tools, including Claude Code, Cursor and GitHub Copilot. The company framed the launches as a bet that operational control, not model quality alone, will separate winners in the AI era. "The companies that win on AI won't just build better models, they'll build operational control around them," said co-founder and Chief Executive Olivier Pomel. Datadog said it invests about 30% of revenue in research and development. The features were announced at DASH, where the company traditionally rolls out its largest product news of the year.

Datadog Drops 100+ New Tools to Tackle AI and Security Complexity

New Bits AI, log management and security capabilities give customers the visibility and autonomous operations they need to detect, investigate and resolve issues across the development loop and data lifecycle Datadog, Inc. today unveiled its latest capabilities and technologies at DASH, the company's annual event where it launches new features and rolls out key integrations focused on driving autonomy and reducing complexity in an industry facing rapid AI-driven transformation. "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. "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," said Alexis Lê-Quôc, co-founder and CTO at Datadog. "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." Key new products include: Bits AI Becomes Truly Autonomous for Both Incident and Development Actions 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 Lê-Quôc. 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. Protect AI Agents With AI Guard "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 Makes Datadog the One Platform for Wherever Data Lives As AI volumes increase, the number of logs generated is growing exponentially. This often forces companies to make an uncomfortable decision: keep the data and absorb the cost, or delete it and risk losing visibility. Datadog is addressing this concern directly with Bring Your Own Cloud, which deploys the Datadog platform into a customer's own environment so that data is processed and indexed in their cloud object storage. Create and Monitor Agents Within Datadog 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.

Datadog Launches 100+ Capabilities To Help Customers Drive Autonomy And Manage Growing AI And Security Complexity

SYDNEY, Australia - 10 June, 2026 - Datadog, Inc., (NASDAQ: DDOG), the leading AI-powered observability and security platform, today unveiled its latest capabilities and technologies at DASH, the company's annual event where it launches new features and rolls out key integrations focused on driving autonomy and reducing complexity in an industry facing rapid AI-driven transformation. "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. "We consistently invest about 30 per cent 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," said Alexis Lê-Quôc, co-founder and CTO at Datadog. "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." Key new products include: Bits AI Becomes Truly Autonomous for Both Incident and Development Actions 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 Lê-Quôc. 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. Protect AI Agents With AI Guard "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 behaviour. Datadog's new AI Guard uses a unique combination of deep agent telemetry tracing and AI-native stateful behavioural 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 Makes Datadog the One Platform for Wherever Data Lives As AI volumes increase, the number of logs generated is growing exponentially. This often forces companies to make an uncomfortable decision: keep the data and absorb the cost, or delete it and risk losing visibility. Datadog is addressing this concern directly with Bring Your Own Cloud, which deploys the Datadog platform into a customer's own environment so that data is processed and indexed in their cloud object storage. Create and Monitor Agents Within Datadog 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 centralised 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. To learn more about Datadog's latest product capabilities and approach to AI-powered observability and security, please read the round-up blog for all the keynote announcements made at DASH: https://www.datadoghq.com/blog/dash-2026-new-feature-roundup-keynote. About Datadog Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.