Transparent privacy control for GPT, Gemini & enterprise LLM stacks
Secure AI
Infrastructure
Transform sensitive data into controlled tokens, use remote AI safely, and rehydrate responses under policy — without disrupting user workflows.
Tokenization preserves meaning
Session vault (encrypted, TTL)
Policy-controlled rehydration
Product family
One architecture — multiple delivery models: personal productivity, desktop environments, and enterprise deployments.
A. Freemium (Browser Extension)
- Works with GPT and Gemini
- Tokenization + rehydration, transparent
- Can leverage Enterprise API
B. Desktop Client
- Docker or executable option
- Controlled remote LLM selection
- Enterprise policy integration
C. Enterprise (Proxy / SDK)
- Proxy: secure gateway to approved providers
- SDK: no LLM limitation, embed into apps
- Docker-based, scalable deployment
Protect sensitive data without sacrificing AI productivity
Email: [email protected] · Web: aegixsecure.com
Use cases
Anywhere sensitive context meets AI: procurement, legal, support, engineering, and internal knowledge workflows.
Procurement & vendor comms
Contracts, PO numbers, internal project codes, escalation contacts.
Legal & contracts
Clause drafting with policy-controlled restoration for tenant-owned content.
Software development
Prevent secret leaks; keep tokens in LLM prompts, restore only safe fields.