Integration
GoSentrix qualifies evidence from Codex as one input to release-evidence verification. It does not replace Codex; it evaluates whether the signals from Codex satisfy customer-defined policy for a consequential decision.
Generated diffs, terminal command outputs, test run records, task logs, environment state exports, and provenance records from Codex sessions.
GoSentrix qualifies Codex-generated evidence by independence, completeness, and corroboration with CI, review, scanner, and runtime signals. It checks whether Codex signals satisfy the policy version active for a merge or release decision.
Supports authorization decisions for AI-generated releases and preservation of the basis for decisions that rely on agent-produced code.
No. GoSentrix is release-evidence verification software. It does not replace OpenAI Codex or any AI software engineering agent. It consumes signals from Codex as evidence inputs and evaluates whether they satisfy customer-defined policy for a consequential decision.
GoSentrix can qualify generated diffs, terminal command outputs, test run records, task logs, environment state exports, and provenance records that describe what Codex produced and what a human authorized.
GoSentrix qualifies Codex-generated evidence by independence, completeness, and corroboration with CI, review, scanner, and runtime signals. It does not treat successful task completion as standalone proof of correctness.
GoSentrix records the missing corroboration and can emit Stop, Escalate, or Require outcomes. The decision owner decides whether to supply additional evidence or change the policy.
The public operating doctrine for release-evidence verification.
How GoSentrix qualifies evidence and evaluates it against policy.
Trace AI-generated changes through evidence and policy.
Remediation evidence that satisfies policy before a release decision.
Compare code security governance and release-evidence verification.
GoSentrix qualifies evidence from existing tools and evaluates it against versioned policy for consequential software decisions.
