Secrets Detection

Manual code review doesn’t scale and it misses the places where secrets most commonly hide. API keys and tokens frequently appear in Git history long after they’ve been removed from current code, in application logs generated during testing, and in CI/CD pipeline configurations that sit outside normal review workflows.

A single exposed secret in a repository can grant an attacker access to critical infrastructure, as demonstrated by incidents like the 2022 LastPass breach, where a single compromised developer credential led to a significant data exposure.

OX provides automated, continuous detection across all of these surfaces, at a scale and depth that manual processes can’t match.

Not every exposed secret represents an immediate threat. A rotated credential in Git history is a different risk profile than an active API key in a current branch.

OX applies contextual intelligence to secrets findings, evaluating factors like version history, pipeline behavior, cloud exposure and whether the credential is still active, to prioritize the exposures that require urgent action.

This prevents your team from being overwhelmed by historical findings while ensuring that genuinely dangerous exposures are surfaced immediately.

Hardcoded secrets are particularly dangerous in CI/CD environments because automated pipelines can replicate and embed them across build artifacts, container images, and deployment configurations before anyone realizes they’re present.

OX’s pipeline behavior modeling detects secrets propagation patterns in CI/CD systems, identifying how sensitive data moves through your build and deployment workflows and blocking it before it becomes embedded in production environments or container registries.

AI coding assistants can generate code containing hardcoded credentials, suggest patterns that include PII, or pull sensitive data from context windows into generated output, often without the developer noticing.

OX VibeSec extends secrets and PII detection directly into AI coding environments, preventing AI-generated code from introducing sensitive data exposures at the point of creation rather than catching them after the fact in a repository scan.

Regulations like GDPR and HIPAA require organizations to implement controls that prevent sensitive data from being exposed during development, and to demonstrate those controls are in place.

OX automates policy enforcement across your entire pipeline, creating an auditable record of secrets and PII detections, policy violations, and remediation actions.

This gives compliance and security teams the evidence trail needed for regulatory reviews without requiring manual audit processes layered on top of development workflows.