Security tools are typically built around the systems they protect—code, endpoints, cloud infrastructure, identity, and secrets management. But credentials move across all of those systems. A developer might create an API token for a local test, then copy it into a CI/CD variable, a config file, a Slack thread, and an old commit. Each tool may see one piece of that story, but no single tool necessarily shows that all those exposures are the same credential.
To manage this, the source argues, teams should think in terms of the "credential layer": the complete set of places where a plaintext secret can live. That includes public repositories, vaults, software development lifecycle tools, developer endpoints, and AI coding assistants or MCP servers. Securing this layer means answering not just where a secret exists, but how it was created, stored, copied, and exposed—and whether it is still valid and what access it carries.
Detection should establish the credential's exposure footprint, including historical leaks that remain in Git history or previous public posts. Remediation must address the access itself, which may mean revoking the credential, removing exposed copies, identifying dependent workloads, or investigating suspicious use. Prevention, meanwhile, should push earlier: blocking secrets before commit, before pull request acceptance, or before they sit in plaintext on a developer machine where an infostealer or AI agent could read them.