VibeOps — Governance for AI-Assisted Software Development
Govern AI-assisted code from idea to production.
Altive helps regulated European organisations turn ungoverned AI coding into an auditable, examiner-ready process, so you keep the speed of AI without losing control of the evidence.
The ban paradox
Banning AI coding tools does not remove the risk. It hides it.
A ban does not stop developers reaching for AI, it just pushes that usage into the shadows, where you cannot see it, measure it or audit it. The exposure does not disappear, it drifts beyond your line of sight. Governed usage brings it back into the open, with evidence.
BanDriftGovern
Banning fails. Drift is the risk. Governance is the answer.
Why it matters now
The risk is already in your codebase.
AI writes confident but sometimes insecure code
AI assistants produce plausible code quickly, including subtle vulnerabilities and unsafe patterns that read as correct. Speed without controls multiplies the surface area for mistakes.
Regulators increasingly expect demonstrable control
Frameworks such as DORA and ISO 42001 push organisations to show governance over AI in the software lifecycle. Examiners want evidence of control, not assurances.
Un-governed usage leaves nothing to examine
When AI assistance is informal, there is no record of what was generated, reviewed or approved. Without an audit trail, you cannot answer the questions an examiner will ask.
The Altive answer
VibeOps: a governed Secure SDLC for AI-assisted code.
VibeOps governs AI-assisted development across six stages. Every stage emits audit evidence, so the path from prompt to production is traceable and examiner-ready by design.
- 01
Pre-Session
Set the guardrails and risk tier before any AI assistance begins.
Scoped task record and risk-tier decision.
- 02
AI Session
Generate code with AI inside agreed boundaries and logged context.
Captured prompts, tools and model context.
- 03
Pre-Commit
Check generated changes locally before they enter the codebase.
Local checks and developer attestation.
- 04
Review
Human review proportionate to the risk tier of the change.
Reviewer sign-off linked to the change.
- 05
CI/CD
Automated security and quality gates run in the pipeline.
Pipeline gate results and policy outcomes.
- 06
Release
Ship with a complete, linked record of how the code was produced.
Prompt-to-production audit trail.
VO-TECH-002Each stage produces linked evidence, building one continuous audit trail.
Outcomes
Control you can demonstrate, at the speed you already move.
A traceable prompt-to-production audit trail
Every AI-assisted change carries a linked record of how it was produced, reviewed and released.
Governance that supports alignment with your obligations
Your AI usage supports alignment with the frameworks your examiners care about:
- DORA
- ISO 42001
- GDPR / FADP
- OWASP LLM Top 10
Speed with control, not instead of control
Governance is built into the flow developers already use, so it enables delivery rather than slowing it down.
Altive supports alignment with these frameworks and standards. We do not certify, audit or issue certifications.
Start with an assessment
See where your AI-assisted development really stands.
Every engagement begins with an assessment of how AI coding is used across your teams today, so any governance we introduce fits the way you already build. No rip-and-replace, no theatre, just a clear picture and a path to evidence you can show.
Assessment-first. No obligation.
Social proof — placeholder
Approved client logos, references or outcomes will appear here. Left blank by design until real, permissioned proof is available.