Intelligent Remediation's Role in Tackling Vulnerabilities at Speed and Scale

Modern software development moves at warp speed, and it can sometimes feel like software weaknesses pile up almost as quickly. Development teams want to ship code into production. Security practitioners would like to see existing security problems—security debt—fixed first. And this is a headache for both parties, who both lack the resources to address every problem. While there is no silver bullet, our team has started to attack the problem of security debt by applying automation and machine learning to fixing vulnerabilities, based on our work with thousands of customers and over 100 trillion lines of code scanned. In just 15 hard-hitting minutes, you’ll explore: • Intelligent Remediation 101: What it is, why it matters, and how it fits into a broader framework for securing your entire SDLC – from design to deployment • Why machine learning is key to detecting and remediating software vulnerabilities at scale, while reducing the burden on teams and technical resources • How Intelligent Remediation can help you bridge security and development requirements, set meaningful KPIs, and monitor DevSecOps progress