Securing the AI era: Outpace AI-powered attacks with unified security and observability

Security teams are facing new challenges as AI-assisted development accelerates code deployment, leading to an increased volume and speed of attacks. Datadog's 2026 State of DevSecOps report highlights that 40% of running services have exploitable vulnerabilities, with AI enabling attackers to rapidly exploit them. To address these challenges, Datadog has developed a platform providing real-time visibility into production environments, allowing teams to prioritize vulnerabilities effectively and focus on business-critical threats. Their new Runtime Prioritization Engine leverages live traces, logs, and service dependencies to assess the significance of vulnerabilities, while Bits Code and AI-native Static Code Analysis streamline development workflows by providing context-specific security insights. Furthermore, Datadog AI Guard offers runtime protection for AI agents, identifying unsafe actions and unprotected agents to prevent threats like prompt injection and data exfiltration. The Datadog platform integrates security with observability, facilitating seamless threat detection, investigation, and containment through tools like Bits Security Analyst and Bits Threat Hunting, thereby enhancing security responses and reducing manual intervention.