Every release changes the attack surface. When security reviews can't keep pace with deployments, risks reach production unnoticed. Engineering teams also start treating security as a blocker rather than part of quality. This paper shows how high-velocity teams build security into design, pipelines and architecture, so it scales with growth instead of fighting it.

Engineering teams ship faster than ever, often several times a day, on cloud-native architectures that change constantly and rely on hundreds of open-source dependencies. AI-assisted development has accelerated the pace even further. Traditional security, built on periodic reviews and annual pentests, can't keep up. Vulnerabilities reach production between checks, and when security does step in, it usually means late findings and friction. At the same time, enterprise customers are adding security questionnaires and certification requirements to their buying processes. Security is becoming a growth requirement, not just a technical one. This paper is for engineering leaders who want security to scale with the product rather than hold it back.

Inside the paper:

• Where vulnerabilities typically enter fast-moving delivery pipelines

• The security controls worth automating in CI/CD, and the ones that aren't

• Managing open-source and third-party dependency risk

• Architecture decisions that reduce exposure as cloud-native systems grow

• How to position security as an engineering enabler, not a gate

Get the full paper to see what to automate first. If you'd like an outside view on your pipeline or architecture, we're happy to share what we typically find in teams like yours.