Organizations processing hundreds of thousands of vulnerability alerts daily face a mounting crisis: alert fatigue has become a serious operational liability. The influx of security notifications, amplified by AI-driven detection systems, makes it nearly impossible to distinguish genuine threats from noise. For teams managing sensitive user data, ignoring even one critical issue is not acceptable, yet manual triage at scale is unsustainable.
WHOOP, a health and fitness tracking company, encountered this exact problem. The engineering team was forced to conduct multi-day, all-hands triage sessions just to keep pace with incoming vulnerability reports. To break this cycle without compromising security, WHOOP developed an automated vulnerability-response workflow tailored to its technical infrastructure, operational constraints, and trust requirements.
On October 7, 2026, WHOOP staff engineer Vinay Raghu and Datadog senior product engineer Amber Tunnell will present their solution in a live webinar. The session will demonstrate how the company leveraged Datadog Bits AI and Workflow Automation to accelerate vulnerability response at scale while maintaining human oversight of critical decisions.
Key capabilities in WHOOP's automated approach
- Distinguishing genuine exposure from scanner false positives. WHOOP deployed Datadog's Software Composition Analysis (SCA) to examine runtime code execution patterns, enabling the team to prioritize active threats over theoretical vulnerabilities.
- Intelligent routing of alerts to responsible teams. The workflow automatically maps each vulnerability to the microservice owner, ensuring developers receive tickets pre-populated with relevant context.
- Self-service remediation guardrails. Developers gained the ability to resolve certain vulnerabilities independently, freeing security engineers from repetitive ticket management to focus on systemic improvements.
- Preserving human decision-making. Given the sensitivity of user health data and the need for continuous operations, WHOOP deliberately retained human engineers in the approval loop rather than pursuing full automation.
The webinar targets DevSecOps, security, and cloud or platform engineers seeking to reduce friction between development speed and security rigor without expanding headcount. Attendees will also learn how to measure the effectiveness of such automated workflows.