From the repository to the AI workspace — we secure sensitive data at every handover in day-to-day AI and cloud work. CodeGuardian at the source, Redactor at the hand-off to AI, Redactor Desk in the AI workspace itself.
Our products cover the AI leg. The cloud leg (AWS migration, advisory, engineering) lives under Services.
Sensitive data leaves companies along an entire path: in the code flowing through repositories and pipelines, when pasting into AI tools — and in the AI workspace itself, where people chat and code with Claude. One tool never covers all of it. Hence three products with one principle: enable, don't forbid — secure it without slowing it down.
Regulated finance and enterprise teams: detect secrets in repositories and CI, report evidence to AWS Security Hub, map controls to supervisory requirements. → CodeGuardian — plus Redactor Desk as a secure AI workspace with policy.
Developer teams and boutique consultancies: stop secrets and personal data locally before they reach an AI — offline. → Redactor when pasting, Redactor Desk for agentic work with Claude.
Consultants working with sensitive client data: stay productive with Claude without giving data away. → Redactor Desk — Personal for individuals, Enterprise with an evidence log and policy.
Secret scanning for regulated finance teams (repo + CI) · evidence to AWS Security Hub · supports mapping controls to supervisory requirements · AWS Partner · SaaS + services.
To CodeGuardian →Detects & replaces secrets and PII locally before they reach ChatGPT/Claude/Cursor · fully offline · macOS app + browser extension + MCP server for AI agents · German detectors: tax ID, social-security number, IBAN · round-trip restore.
To Redactor →A secure desktop client for Claude: chat and work in code while secrets and personal data are replaced locally before they reach the model · German & English · Personal for individuals and consultants, Enterprise with policy, volume licensing and a tamper-evident evidence log.
To Redactor Desk →All three products unfold their value in a clean adoption. With the AI-clearance framework we put them into operation in regulated companies — with policy, rollout and training.