Solutions
One on-prem control plane, applied to the problems security teams are asked to solve first.
LLM firewall: inspect every AI request before it leaves your perimeter
A network firewall decides which packets may pass. An LLM firewall decides which prompts, data and responses may pass between your people and AI models. Rexaris AI runs that decision inside your infrastructure.
ReadEnterprise AI gateway: one endpoint, every model, your policies
Point ChatGPT clients, Claude Code, Cursor, internal apps and agents at a single corporate endpoint. Keep the tools people already use; add identity, policy, routing and cost control underneath.
ReadAI DLP: keep sensitive data out of external models
Classic DLP watches email and file shares. AI DLP watches prompts, attachments and model responses, and can mask rather than block, so work continues while the sensitive values never leave your perimeter.
ReadClaude Code security: developers keep the tool, security keeps control
Coding agents read your repositories, environment files and infrastructure code. Rexaris AI lets security teams say yes to Claude Code by putting a corporate gateway, secrets detection and per-developer budgets in the path.
ReadOn-prem AI security: nothing about your prompts leaves your infrastructure
Regulated organisations cannot route employee prompts through a vendor's cloud to make them safe. Rexaris AI installs inside your perimeter, uses your provider keys and keeps policies, audit logs and masked values in your own database.
ReadAI governance: know what AI exists, decide what it may do, prove it
Governance fails when it lives in spreadsheets. Rexaris AI turns inventory, policy and evidence into one system that runs on the actual traffic.
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