Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Datadog Detect is a virtual mini-conference dedicated to helping security teams understand the latest in detection engineering. In this edition, featuring talks from Dropbox, Mileva Security Labs, and Datadog, learn how AI is reshaping detection and response and how to apply it to modern security operations.

As AI coding assistants accelerate software development, the volume of pull requests at Datadog has grown to nearly 10,000 per week, increasing the risk that malicious changes slip through due to review fatigue. To address this, Datadog built BewAIre, an LLM-powered code review system designed to identify malicious source code changes introduced by threat actors. By reducing approval fatigue for developers while increasing friction for attackers, BewAIre guides human reviewers to the areas where judgment matters most, without slowing developer velocity.

The DevOps revolution broke down the traditional silos between development and operations, fundamentally reshaping how we build and maintain software. But with this evolution came an inevitable, and often stressful, reality for many engineers: being on-call and responding to incidents. In this session, Daljeet Sandu will explore how on-call has evolved in recent years, highlight proven best practices, and share insights into the future of incident response in DevOps.

April’s This Month in Datadog spotlights the Datadog MCP Server, which gives AI agents secure, real-time access to Datadog telemetry, and Datadog Experiments, which lets you design, launch, and analyze experiments to see the full impact of product changes on the user journey. Plus, we cover how to: Accelerate Cloud SIEM investigations with Bits AI Security Analyst Remediate vulnerabilities in your codebase with Bits AI Dev Agent for Code Security Explore Datadog with natural language using Bits Assistant.