Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Help keep your logs secure before they leave your environment. In this video, we’ll show you how to use Datadog Observability Pipelines to easily discover, classify, and mange sensitive information—like PCI, PII, or custom patterns—from your logs on-premise to support compliance needs. You’ll learn how to: Whether you’re in DevOps, Security, or Compliance, this workflow helps support your data privacy initiatives without disrupting your existing logging setup.

Datadog's Bits AI Security Analyst transforms the way security teams handle investigations by autonomously triaging Datadog Cloud SIEM signals. Built natively in Datadog, it conducts in-depth investigations of potential threats and delivers clear, actionable recommendations. With context-rich guidance for mitigation, security teams can stay ahead of evolving threats with greater efficiency and precision.

As AI agents rapidly improve, becoming more autonomous and interconnected, they unlock new ways to assist us. But as they perform actions for us and delegate tasks to other AI agents, we need to reexamine our understanding of “identity.” How do we ensure these powerful AI interactions are authentic, authorized, and permissioned, while differentiating between legitimate actions and potential misuse?Join Datadog co-founder and CTO Alexis Lê-Quôc and Okta CTO Bhawna Singh as they explore the convergence of AI, security, and observability.

In most companies, Security and SRE organizations are distinctly separate entities and often fall under different executive branches of the company. The work of Security and SRE organizations may appear different, but their goals are the same: keep the company running. This separated structure hinders collaboration, but what if you could change it? Over the past year, Datadog has joined our SRE and Security teams together in a single organization unifying all aspects of reliability.