From News Desk

Datadog, an AI-powered observability and security platform, has unveiled its latest capabilities and technologies at DASH, the company’s annual event. It launched 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, 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, Datadog. “At DASH, we launched 100+ capabilities unified around one goal. It is giving customers the visibility they need to find and fix the issues that matter most, the moment they matter.”

“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.