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Techday NZ
a day 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
a day 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.
Time of India
2 days ago
- Business
- Time of India
US based Datadog unveils new AI security tools to tackle emerging risks at DASH 2025
New York: Datadog, the New York-based cloud monitoring and security company, announced a series of new tools on June 10 to help businesses identify and resolve security threats in their artificial intelligence (AI) systems. The unveiling took place on the opening day of DASH Conference 2025 , Datadog's annual two-day flagship event. With AI becoming central to how software is developed and operated, Datadog is seeking to play a leading role in ensuring that businesses can safely adopt the technology. The company introduced several products aimed at improving observability, developer productivity, and security across enterprise AI environments. One of the highlights of the launch was Bits AI , a suite of intelligent agents designed to automate key tasks across site reliability engineering (SRE), security operations, and software development. The agents are capable of troubleshooting incidents, managing alerts, and recommending fixes, reducing the burden on human teams. Also introduced were new capabilities such as GPU monitoring, AI agent monitoring, and the APM Investigator, each aimed at helping enterprises optimise performance, control costs, and detect latency bottlenecks. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Memperdagangkan CFD Emas dengan salah satu spread terendah? IC Markets Mendaftar Undo 'We can all agree that change is happening much faster today with AI than ever before,' said Olivier Pommel, co-founder and CEO of Datadog. 'Our job at Datadog is to make sure that you can tame that complexity, that you can get those risks out of the way, so that you can happily and productively ride those technology waves all the way to success.' Pommel highlighted that Datadog is making substantial investments in research and development to keep up with the rapid advancements in AI. One such result is a new AI model named TOTO , created by Datadog's AI Lab for time series analysis. The company is releasing it as open-weight on the Hugging Face platform to foster transparency and innovation. Alexey, co-founder of Datadog, said the new solutions were designed to enhance the day-to-day experience of developers and engineers. 'We ask ourselves, how can we apply these new techniques to make a difference in your daily work?' he said. In addition, Datadog announced a voice interface for its oncall platform to streamline incident response for support teams. The company also spotlighted its expanding partnerships with AI pioneers such as OpenAI and Cursor, with plans to embed more third-party agents into enterprise workflows. A key concern addressed at the conference was the security challenges unique to AI-native applications. As AI systems increasingly act autonomously—writing code, making decisions, and interacting with other software—they introduce new vulnerabilities that traditional security tools struggle to detect. 'AI has exponentially increased the ever-expanding backlog of security risks and vulnerabilities organisations deal with,' said Prashant Prahlad, Vice President of Security Products at Datadog. 'This is because AI-native apps are not deterministic; they're more of a black box and have an increased surface area that leaves them open to vulnerabilities like prompt or code injection.' To mitigate these risks, Datadog unveiled tools across three core areas: development, application usage, and real-time operations. These include a code security feature that scans external code for hidden threats and suggests fixes using AI, and a LLM Observability tool that tracks unusual behavior in large language models. The Cloud Security module now ensures compliance with standards like those from the U.S. National Institute of Standards and Technology (NIST), while a sensitive data scanner prevents personal data from being accidentally included in AI training datasets. To protect live systems, Datadog also launched the Bits AI security analyst , which helps teams swiftly investigate alerts and anomalies, providing actionable insights to reduce both risk and downtime. (This correspondent was in NY to attend the DASH conference on invitation.) AI Masterclass for Students. Upskill Young Ones Today!– Join Now
