GoLiveSafe

AI security assessments & gap analysis, with clear Go / No-Go decisions for every release

GoLiveSafe runs an AI security architecture review of a change or release, models the threats (STRIDE), audits your evidence, maps findings to SOC 2, PCI-DSS and GDPR, and produces a defensible, evidence-backed GO / NO-GO decision — so security stops being the bottleneck at ship time.

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How it works

  1. Describe the change or connect the release; GoLiveSafe parses it and models the threats (STRIDE).
  2. It audits your evidence and evaluates security gates mapped to SOC 2, PCI-DSS and GDPR.
  3. You get a deterministic GO / NO-GO / conditions decision, finalized with a named-human sign-off and an audit trail.

FAQ

What is GoLiveSafe?
An AI security governance platform that reviews a software release and produces a defensible, evidence-backed GO / NO-GO decision.

How does it decide GO or NO-GO?
A deterministic rule engine evaluates security gates and findings against the assessed evidence, so the same state always yields the same, reproducible verdict.

Does it replace my security team?
No — it's advisory with mandatory human sign-off; a named person makes the final call.

How is evidence verified?
Content-verified: a self-attestation doesn't clear a gate — only evidence that substantiates the control does (attested ≠ passed).

Which frameworks and tools?
Gates map to SOC 2, PCI-DSS and GDPR; integrates with GitHub (CodeQL/Dependabot) and Jira.