What the employee feels
The approved path feels like normal AI usage. The blocked path does not reveal the exact rulebook to the agent.
Enterprise LLM Access Control
CurtainWall
Let employees use frontier AI without exposing the company rulebook.
CurtainWall is an encrypted guardrail layer for companies that want ChatGPT, Gemini, Claude, and agentic tools in daily work without letting agents read, infer, or exploit sensitive policy.
Why now
Internal-only AI frustrates users. Uncontrolled external AI scares security teams.
CurtainWall is for enterprises that want to unlock frontier models while preserving policy control, auditability, and endpoint governance.
Product
Policy-hiding guardrails between agents and model APIs.
CurtainWall intercepts LLM traffic, checks the prompt against encrypted policy vectors, and returns pass, block, or review without exposing the guardrail corpus to the agent.
What the architecture enforces
The proxy sees prompts but not plaintext guardrails. The Vault judges encrypted scores without collecting user prompts.
Target customer
Built for companies that can actually enforce rollout.
The best first customer already manages employee devices, controls network egress, operates an internal AI platform, and hears complaints that the sanctioned tools lag behind frontier models.
Deployment
Packaging follows the customer's trust boundary.
The core value stays the same across deployment models: agents do not get to read the real guardrails. The right package is chosen with the customer.
Pilot experience
Show employees freedom and security teams control.
A CurtainWall pilot demonstrates the full workflow: ordinary AI use passes, sensitive requests are blocked, agents cannot inspect hidden policies, and admins manage guardrails from a dedicated console.
Pilot program
Start with a focused enterprise pilot.
Begin with a controlled user group, a small set of customer-selected policies, and measurable outcomes for deployment, security review, and user experience.
Positioning
Not a DLP replacement. A policy-hiding layer for LLM adoption.
CurtainWall should sit beside existing security controls and solve the agent-specific problem they were not designed for.
Pilot outcomes
A practical path from evaluation to rollout.
Each pilot should leave the customer with clear evidence on endpoint fit, policy quality, audit workflow, and production rollout requirements.
Next step
Open frontier AI access without handing agents the rulebook.
CurtainWall gives enterprises a controlled way to approve frontier AI usage: better models for employees, hidden guardrails for security, and deployment choices that match the customer's environment.