US based Datadog unveils new AI security tools to tackle emerging risks at DASH 2025
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.
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'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.)
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