On every deployment, the code is analysed before going live. What nobody has time to do, the platform does every time.
import os, requestsfrom db import connect# Invoice reminders — generated by an AI assistantOPENAI_KEY = "sk-proj-8f2a…4f2a"OPENAI_KEY = vault.get("openai")DB_ROLE = "admin"DB_ROLE = "invoices_readonly"def remind(client): invoice = connect(DB_ROLE).last(client) logger.info(client) logger.info(client.id) send_reminder(invoice)requests==2.19.0requests==2.32.3import os, requests from db import connect OPENAI_KEY = "sk-proj-8f2a…" OPENAI_KEY = vault.get("openai") DB_ROLE = "admin" DB_ROLE = "invoices_readonly" def remind(client): logger.info(client) logger.info(client.id) send_reminder(invoice) requests==2.19.0requests==2.32.3No exception, nothing to trigger. The script arrives, gets screened, then goes — or doesn’t.
A detected issue suspends the release until it is fixed and the deployment relaunched.
Hard-coded secrets, known vulnerabilities, suspicious dependencies, over-broad permissions, sensitive data in logs.
Infrastructure, storage and AI models — including Cybervise’s — hosted in France and Europe, under European law.
Each agent or script only reaches the data and tools you allow.
SSO, roles and secrets managed in one place — never in the code.
One door to the models instead of dozens of direct accesses.
Every agent and every script inherits the same framework: data under European law, end-to-end traceability, rules applied everywhere. Nothing to redo project by project.
Security and compliance →We scope a real use case together, and you leave with a first estimate.