Latest news with #BitsAIDevAgent
Techday NZ
4 days ago
- Business
- Techday NZ
Datadog unveils new Bits AI agents to streamline cloud workflows
Datadog has announced the introduction of three artificial intelligence agents designed to support development, security and operations teams with interactive investigations and asynchronous code fixes. The newly released Bits AI SRE, Bits AI Dev Agent and Bits AI Security Analyst agents are complemented by Proactive App Recommendations and APM Investigator capabilities, furthering the development of Bits AI, Datadog's generative AI assistant intended for real-time resolution of application issues. Domain-specific AI agents Datadog has stated that these new domain-specific AI agents are trained to provide expertise in incident response, product development and security for organisations operating cloud applications. Each agent reportedly operates on a shared set of core capabilities, enabling tasks such as querying data, analysing anomalies, and scaling infrastructure to be consistently deployed and reused across different agents. This architecture is aimed at allowing the rapid creation and deployment of new agents, whilst maintaining a uniform user experience. According to the company, this framework is supported by substantial and high-quality observability data, ensuring the AI capabilities work with contextual understanding and accuracy to deliver actionable insights intended to eliminate risk. "Datadog is uniquely positioned to deliver value with AI as a platform that has a wealth of clean, rich data—we process trillions of data points and are embedded in our customers' critical engineering, developer and security workflows," said Yanbing Li, Chief Product Officer at Datadog. "With these advancements in AI reasoning and multi-modality, we've gone beyond helping organisations understand their availability, security, performance and reliability. We now enable human-in-the-middle workflows by guiding customers on what to look for and where to start looking, and augment their ability to take action." Agent details The Bits AI SRE agent, now in Limited Availability, functions as a 24x7 on-call responder. The agent undertakes the initial triage of all alerts using telemetry and service context to produce preliminary investigation findings prior to an individual responder logging on. It then assigns relevant roles, provides updates through real-time incident summaries and status reports, suggests subsequent steps, and drafts initial versions of incident post-mortems to save time for response teams. The Bits AI Dev Agent, available in preview, is designed to detect software issues, propose code fixes, and directly open pull requests tailored to organisations' technology stack. This feature aims to streamline the review and merge process within source code management systems, providing engineering teams with AI support for addressing issues and enhancing productivity. Bits AI Security Analyst, also in preview, performs autonomous triage of Cloud SIEM (security information and event management) signals. The agent is intended to handle in-depth analysis of potential threats and deliver well-reasoned resolution recommendations without requiring human intervention, potentially reducing incident response times and transforming the security workflow involved in processing security signals. Customer commentary Thomson Reuters is among the organisations adopting Datadog's AI offerings. Darren Trzynka, Senior Cloud Architect at Thomson Reuters, shared the company's perspective on the benefits of Bits AI for operational teams. "At Thomson Reuters, we're focused on maximising operational efficiency and accelerating innovation at scale through generative AI solutions," said Darren Trzynka, Senior Cloud Architect at Thomson Reuters. "Bits AI allows operations and downstream platform teams to receive the full context of the investigation—from the initial monitor trigger to conclusion—driving down resolution time significantly freeing them up to do more." Additional capabilities Datadog has also introduced Proactive App Recommendations and APM Investigator features as part of its preview capabilities. Proactive App Recommendations uses telemetry data already collected by Datadog to suggest impactful fixes and recommend next steps. This tool provides insights to developers for optimising slow queries, addressing inefficient code, and catching recurring exceptions, with the goal of improving performance, reducing errors, and cutting resource usage before end-users are affected. The APM Investigator tool automates the previously manual task of troubleshooting latency spikes. It works by identifying bottlenecks, gauging impact, highlighting trends across slow traces, suggesting possible causes, and proposing resolutions. Other launches referenced include capabilities in AI observability, AI security, log management and the rollout of an internal developer portal. The newly announced AI solutions are designed to complement Datadog's ongoing commitment to support engineering, security, and operational workflows within cloud environments.
Scoop
4 days ago
- Business
- Scoop
Datadog New AI Agents To Enhance Application Issue Resolution
Press Release – Datadog Bits AI now delivers domain-specific AI agents and Applied AI capabilities that accelerate incident resolution for development, security and operations teams. AUCKLAND – JUNE 12, 2025 – Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today introduced three new AI agents that perform interactive investigations and asynchronous code fixes for development, security and operations teams. Today's launch of the Bits AI SRE, Bits AI Dev Agent and Bits AI Security Analyst agents, alongside the new Proactive App Recommendations and APM Investigator capabilities, marks the continued evolution of Bits AI, Datadog's generative AI assistant that helps engineers resolve application issues in real time. Datadog's new domain-specific AI agents, unveiled at DASH, are each trained to be experts in incident response, product development and security. The agents are built on a flexible system of shared tasks—core capabilities such as querying data, analysing anomalies or scaling infrastructure that can be reused across agents. The architecture allows Datadog to build and deploy new agents quickly while maintaining a consistent and powerful user experience. This is combined with expansive, high-quality observability data, enabling Datadog's AI capabilities to operate with context and precision, and deliver insights and actions to eliminate risk. 'Datadog is uniquely positioned to deliver value with AI as a platform that has a wealth of clean, rich data—we process trillions of data points and are embedded in our customers' critical engineering, developer and security workflows,' said Yanbing Li, Chief Product Officer at Datadog. 'With these advancements in AI reasoning and multi-modality, we've gone beyond helping organisations understand their availability, security, performance and reliability. We now enable human-in-the-middle workflows by guiding customers on what to look for and where to start looking, and augment their ability to take action.' The new AI agents announced at DASH are: Bits AI SRE, a 24×7 on-call responder that is now in Limited Availability. For all alerts, Bits AI SRE performs early triage using telemetry and service context to surface initial investigation findings all before responders log in. It assigns appropriate owners, aligns all parties with real-time incident summaries and status updates, and proactively suggests next steps. It also generates a first draft of the incident post-mortem to save responders time. Bits AI Dev Agent, now in Preview, which detects issues, generates code fixes, and opens pull requests tailored to organisations' technology stack to allow users to quickly review and merge changes directly within their SCM. As a result, engineers don't just have software that surfaces errors—they have an AI teammate that helps fix the issue and improve productivity for human resources. Bits AI Security Analyst, which autonomously triages Cloud SIEM (security information and event management) signals, conducts in-depth investigations of potential threats and delivers reasoned resolution recommendations without human prompting. Bits AI Security Analyst, now in Preview, automates investigations and reduces response times, fundamentally transforming how organisations process security signals. 'At Thomson Reuters, we're focused on maximising operational efficiency and accelerating innovation at scale through generative AI solutions,' said Darren Trzynka, Senior Cloud Architect at Thomson Reuters. 'Bits AI allows operations and downstream platform teams to receive the full context of the investigation—from the initial monitor trigger to conclusion—driving down resolution time significantly freeing them up to do more.' Additional Applied AI capabilities in preview include: Proactive App Recommendations, which continuously analyses telemetry Datadog already collects to suggest high-impact fixes and the next best action. Whether it's optimising a slow query, addressing inefficient code paths or catching recurring exceptions, APM Recommendations shows developers exactly where to improve performance, reduce errors and cut down resource usage—all before users are affected. APM Investigator, to help engineers troubleshoot and resolve latency spikes faster. It automates a previously manual process by identifying bottlenecks, scoping impact, highlighting patterns across slow traces, suggesting likely causes and proposing a fix.
Scoop
4 days ago
- Business
- Scoop
Datadog New AI Agents To Enhance Application Issue Resolution
AUCKLAND – JUNE 12, 2025 – Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today introduced three new AI agents that perform interactive investigations and asynchronous code fixes for development, security and operations teams. Today's launch of the Bits AI SRE, Bits AI Dev Agent and Bits AI Security Analyst agents, alongside the new Proactive App Recommendations and APM Investigator capabilities, marks the continued evolution of Bits AI, Datadog's generative AI assistant that helps engineers resolve application issues in real time. Datadog's new domain-specific AI agents, unveiled at DASH, are each trained to be experts in incident response, product development and security. The agents are built on a flexible system of shared tasks—core capabilities such as querying data, analysing anomalies or scaling infrastructure that can be reused across agents. The architecture allows Datadog to build and deploy new agents quickly while maintaining a consistent and powerful user experience. This is combined with expansive, high-quality observability data, enabling Datadog's AI capabilities to operate with context and precision, and deliver insights and actions to eliminate risk. 'Datadog is uniquely positioned to deliver value with AI as a platform that has a wealth of clean, rich data—we process trillions of data points and are embedded in our customers' critical engineering, developer and security workflows,' said Yanbing Li, Chief Product Officer at Datadog. 'With these advancements in AI reasoning and multi-modality, we've gone beyond helping organisations understand their availability, security, performance and reliability. We now enable human-in-the-middle workflows by guiding customers on what to look for and where to start looking, and augment their ability to take action.' The new AI agents announced at DASH are: Bits AI SRE, a 24x7 on-call responder that is now in Limited Availability. For all alerts, Bits AI SRE performs early triage using telemetry and service context to surface initial investigation findings all before responders log in. It assigns appropriate owners, aligns all parties with real-time incident summaries and status updates, and proactively suggests next steps. It also generates a first draft of the incident post-mortem to save responders time. Bits AI Dev Agent, now in Preview, which detects issues, generates code fixes, and opens pull requests tailored to organisations' technology stack to allow users to quickly review and merge changes directly within their SCM. As a result, engineers don't just have software that surfaces errors—they have an AI teammate that helps fix the issue and improve productivity for human resources. Bits AI Security Analyst, which autonomously triages Cloud SIEM (security information and event management) signals, conducts in-depth investigations of potential threats and delivers reasoned resolution recommendations without human prompting. Bits AI Security Analyst, now in Preview, automates investigations and reduces response times, fundamentally transforming how organisations process security signals. 'At Thomson Reuters, we're focused on maximising operational efficiency and accelerating innovation at scale through generative AI solutions,' said Darren Trzynka, Senior Cloud Architect at Thomson Reuters. 'Bits AI allows operations and downstream platform teams to receive the full context of the investigation—from the initial monitor trigger to conclusion—driving down resolution time significantly freeing them up to do more.' Additional Applied AI capabilities in preview include: Proactive App Recommendations, which continuously analyses telemetry Datadog already collects to suggest high-impact fixes and the next best action. Whether it's optimising a slow query, addressing inefficient code paths or catching recurring exceptions, APM Recommendations shows developers exactly where to improve performance, reduce errors and cut down resource usage—all before users are affected. APM Investigator, to help engineers troubleshoot and resolve latency spikes faster. It automates a previously manual process by identifying bottlenecks, scoping impact, highlighting patterns across slow traces, suggesting likely causes and proposing a fix. To learn more about Datadog's latest Applied AI capabilities, please visit: Bits AI SRE, Bits AI Dev Agent, Bits AI Security Analyst, Proactive App Recommendations and APM Investigator were announced during the DASH keynote. The replay is available here. During DASH, Datadog also announced launches in AI Observability, AI Security, Log Management and released its .
Techday NZ
5 days ago
- Business
- Techday NZ
Datadog launches domain-specific AI agents & LLM tools
Datadog has announced the addition of three domain-specific AI agents to its generative AI assistant, Bits AI, together with new tools for monitoring and managing large language model (LLM) and agentic AI deployments. New AI agents The company has introduced Bits AI SRE, Bits AI Dev Agent, and Bits AI Security Analyst, each configured to serve specific engineering, operations, and security functions. These agents are designed to support real-time incident response, DevOps tasks, and security workflows for development, security, and operations teams. The AI agents operate on a shared system of core tasks, including data querying, anomaly analysis, and infrastructure scaling. This architecture allows Datadog to roll out new agents efficiently while maintaining consistency in the user experience. The system integrates a broad set of observability data, enabling precise insights and actions for managing risks within cloud-based applications. Yanbing Li, Chief Product Officer at Datadog, commented on the company's approach: Datadog is uniquely positioned to deliver value with AI as a platform that has a wealth of clean, rich data—we process trillions of data points and are embedded in our customers' critical engineering, developer and security workflows. With these advancements in AI reasoning and multi-modality, we've gone beyond helping organizations understand their availability, security, performance and reliability. We now enable human-in-the-middle workflows by guiding customers on what to look for and where to start looking, and augment their ability to take action. Bits AI SRE, which is now in limited availability, acts as an on-call responder for incidents by performing early triage and providing investigation findings before human responders intervene. It allocates incidents, produces real-time summaries, and generates initial post-mortem drafts to save teams time. Bits AI Dev Agent, currently in preview, identifies code issues, suggests fixes, and can open pull requests directly within the source control management systems organisations use. Bits AI Security Analyst, also in preview, automatically investigates cloud security signals, conducts in-depth threat investigations, and produces actionable resolution recommendations, aiming to reduce response times for security incidents. Darren Trzynka, Senior Cloud Architect at Thomson Reuters, commented on Bits AI's impact: At Thomson Reuters, we're focused on maximizing operational efficiency and accelerating innovation at scale through generative AI solutions. Bits AI allows operations and downstream platform teams to receive the full context of the investigation—from the initial monitor trigger to conclusion—driving down resolution time significantly freeing them up to do more. Additional Applied AI features The updates include two new features in preview. Proactive App Recommendations analyses telemetry collected by Datadog to suggest performance improvements or actions, such as optimising slow queries and addressing code issues, before users are impacted. The APM Investigator helps engineers troubleshoot latency spikes by automating bottleneck identification and recommending fixes. LLM Observability suite announced Datadog has also released a suite of tools designed to provide observability for agentic AI—software agents built with LLMs and similar technologies—in production environments. The new products include AI Agent Monitoring, LLM Experiments, and AI Agents Console. Yrieix Garnier, Vice President of Product at Datadog, addressed the motivations behind these offerings: A recent study found only 25 percent of AI initiatives are currently delivering on their promised ROI—a troubling stat given the sheer volume of AI projects companies are pursuing globally. Today's launches aim to help improve that number by providing accountability for companies pushing huge budgets toward AI projects. The addition of AI Agent Monitoring, LLM Experiments and AI Agents Console to our LLM Observability suite gives our customers the tools to understand, optimize and scale their AI investments. AI Agent Monitoring, now generally available, provides a mapped overview of each agent's decision-making route, including inputs, tool calls, and outputs, displayed in an interactive graph. This enables engineers to diagnose latency spikes or unexpected behaviours and connect them to quality, security, and cost measures across distributed systems. Mistral AI's Co-founder and CTO, Timothée Lacroix, provided further industry perspective: Agents represent the evolution beyond chat assistants, unlocking the potential of generative AI. As we equip these agents with more tools, comprehensive observability is essential to confidently transition use cases into production. Our partnership with Datadog ensures teams have the visibility and insights needed to deploy agentic solutions at scale. LLM Experiments, in preview, enables users to compare the effects of changes to prompts or models using datasets from live or uploaded sources. This aims to support quantifiable improvements in cost, response accuracy, and throughput, and prevent unintended regressions in AI application performance. Michael Gerstenhaber, Vice President of Product at Anthropic, commented: AI agents are quickly graduating from concept to production. Applications powered by Claude 4 are already helping teams handle real-world tasks in many domains, from customer support to software development and R&D. As these agents take on more responsibility, observability becomes key to ensuring they behave safely, deliver value, and stay aligned with user and business goals. We're very excited about Datadog's new LLM Observability capabilities that provide the visibility needed to scale these systems with confidence. Datadog has also introduced AI Agents Console, currently in preview, to allow organisations to centrally oversee both in-house and third-party AI agents, track their usage and impact, and monitor for potential security or compliance issues as external agents are embedded into critical business workflows. Armita Peymandoust, Senior Vice President, Software Engineering at Salesforce, said: As enterprises scale digital labour, having clear visibility into how AI agents drive business impact has become mission critical. Customers are already seeing strong success with their AI deployments using Salesforce's Agentforce, which is built on a foundation of openness and trust. That foundation is further strengthened by our partner ecosystem that provides our customers even greater availability to tailored solutions that help them manage their AI agents confidently. Datadog's latest advances in deep observability will further support our vision and unlock another level of AI agent transparency and scale for organizations.
Yahoo
5 days ago
- Business
- Yahoo
Datadog Unveils Latest AI Agents to Rapidly Resolve Application Issues
Bits AI now delivers domain-specific AI agents and Applied AI capabilities that accelerate incident resolution for development, security and operations teams New York, New York--(Newsfile Corp. - June 10, 2025) - Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today introduced three new AI agents that perform interactive investigations and asynchronous code fixes for development, security and operations teams. Today's launch of the Bits AI SRE, Bits AI Dev Agent and Bits AI Security Analyst agents, alongside the new Proactive App Recommendations and APM Investigator capabilities, marks the continued evolution of Bits AI, Datadog's generative AI assistant that helps engineers resolve application issues in real time. Datadog's new domain-specific AI agents, unveiled at DASH, are each trained to be experts in incident response, product development and security. The agents are built on a flexible system of shared tasks-core capabilities such as querying data, analyzing anomalies or scaling infrastructure that can be reused across agents. The architecture allows Datadog to build and deploy new agents quickly while maintaining a consistent and powerful user experience. This is combined with expansive, high-quality observability data, enabling Datadog's AI capabilities to operate with context and precision, and deliver insights and actions to eliminate risk. "Datadog is uniquely positioned to deliver value with AI as a platform that has a wealth of clean, rich data-we process trillions of data points and are embedded in our customers' critical engineering, developer and security workflows," said Yanbing Li, Chief Product Officer at Datadog. "With these advancements in AI reasoning and multi-modality, we've gone beyond helping organizations understand their availability, security, performance and reliability. We now enable human-in-the-middle workflows by guiding customers on what to look for and where to start looking, and augment their ability to take action." The new AI agents announced at DASH are: Bits AI SRE, a 24x7 on-call responder that is now in Limited Availability. For all alerts, Bits AI SRE performs early triage using telemetry and service context to surface initial investigation findings all before responders log in. It assigns appropriate owners, aligns all parties with real-time incident summaries and status updates, and proactively suggests next steps. It also generates a first draft of the incident post-mortem to save responders time. Bits AI Dev Agent, now in Preview, which detects issues, generates code fixes, and opens pull requests tailored to organizations' technology stack to allow users to quickly review and merge changes directly within their SCM. As a result, engineers don't just have software that surfaces errors-they have an AI teammate that helps fix the issue and improve productivity for human resources. Bits AI Security Analyst, which autonomously triages Cloud SIEM (security information and event management) signals, conducts in-depth investigations of potential threats and delivers reasoned resolution recommendations without human prompting. Bits AI Security Analyst, now in Preview, automates investigations and reduces response times, fundamentally transforming how organizations process security signals. "At Thomson Reuters, we're focused on maximizing operational efficiency and accelerating innovation at scale through generative AI solutions," said Darren Trzynka, Senior Cloud Architect at Thomson Reuters. "Bits AI allows operations and downstream platform teams to receive the full context of the investigation-from the initial monitor trigger to conclusion-driving down resolution time significantly freeing them up to do more." Additional Applied AI capabilities in preview include: Proactive App Recommendations, which continuously analyzes telemetry Datadog already collects to suggest high-impact fixes and the next best action. Whether it's optimizing a slow query, addressing inefficient code paths or catching recurring exceptions, APM Recommendations shows developers exactly where to improve performance, reduce errors and cut down resource usage-all before users are affected. APM Investigator, to help engineers troubleshoot and resolve latency spikes faster. It automates a previously manual process by identifying bottlenecks, scoping impact, highlighting patterns across slow traces, suggesting likely causes and proposing a fix. To learn more about Datadog's latest Applied AI capabilities, please visit: Bits AI SRE, Bits AI Dev Agent, Bits AI Security Analyst, Proactive App Recommendations and APM Investigator were announced during the DASH keynote. The replay is available here. During DASH, Datadog also announced launches in AI Observability, AI Security, Log Management and released its Internal Developer Portal. About Datadog Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics. Forward-Looking Statements This press release may include certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption "Risk Factors" and elsewhere in our Securities and Exchange Commission filings and reports, including the Annual Report on Form 10-K filed with the Securities and Exchange Commission on May 6, 2025, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise. ContactDan Haggertypress@ To view the source version of this press release, please visit Sign in to access your portfolio
