Code-to-Cloud Security Foundations

Reachability analysis proves whether an execution path actually exists from untrusted input to a vulnerable function ‑ the difference between a backlog and a work queue.

• Most flagged findings are never callable ‑ unreachable code drives ~92% false-positive rates.
• Reachability answers the question that governs risk: can your app's logic ever reach the flaw?
• Paired with exploitability, it turns an undifferentiated backlog into a ranked, evidence-based queue.

Despite well-known best practices, K8s misconfigurations still reach production ‑ these are the ones that actually cause breaches.

• The top breach drivers: IAM/RBAC gaps, IaC mistakes, insecure defaults, and secrets exposure.
• Kubernetes must be secured at four layers: cloud, cluster, container, and code.
• Misconfigurations ‑ not just code vulnerabilities ‑ account for a large share of K8s incidents.

A cloud alert names the symptom; the fix lives in the code that produced it. Why closing cloud findings for good requires source-code context.

• CNAPPs map cloud attack paths but stop at the cloud boundary ‑ no repo, file, or owner.
• Console fixes cause drift: the next deploy re-applies the flawed IaC template.
• Code-to-cloud correlation routes each finding to the exact repository, commit, and team.

Attackers don't break into the cloud ‑ they log in. Why identity is the modern perimeter and IAM misconfigurations decide the blast radius.

• Adversaries log in with over-privileged credentials rather than breaking hypervisor isolation.
• Non-human identities outnumber humans and drive privilege drift via unrotated keys and stale tokens.
• Real least privilege is a continuous, automated control loop ‑ not a periodic cleanup project.