With often hundreds of thousands of alerts a day, many tech organizations are buried in vulnerabilities and worn down by alert fatigue. The rise of AI has only made it harder to cut through the noise and to find actionable alerts. Manual security and site reliability engineering is not an option.
The engineering team behind WHOOP‘s health and fitness tracker felt this pain, relying on multi-day, all-hands triage sessions to stay on top of the alert deluge. But, as a high-growth consumer health company handling sensitive user data, it couldn’t afford to miss anything. Which is why the team at WHOOP built an automated vulnerability-response workflow based on the company’s specific technical, operational, and trust considerations.
Join The New Stack on Wednesday, October 7 to learn from WHOOP staff engineer Vinay Raghu and Datadog senior product engineer Amber Tunnell how WHOOP built and implemented this workflow using Datadog Bits AI and Workflow Automation for faster, at-scale response.
DevSecOps, security, and cloud/platform engineers should bring their questions to this live demo-slash-case study to learn how to reduce friction between developer velocity and security requirements without increasing headcount.
And then, of course, we will end the live discussion with how to measure it all. Don’t miss out and register to attend on October 7.
The post Vulnerability alert fatigue nearly swamped WHOOP. But its fix still keeps a human in charge. appeared first on The New Stack.
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