Solution Brief: Ensage AI for Semiconductor Design

Your AI agents don't have to break a rule to leak your IP.
Here's the boundary that stops them anyway.

Project-scoped reachability and credentials, enforced independently of the AI agent, its hooks, and its configuration - built for design environments adopting coding agents, EDA automation, and MCP-based tools.

82%
of organizations have unknown AI agents in their infrastructure
68%
of organizations cannot distinguish human from AI agent activity
0 hooks
agent-side hooks or agent replacement required to enforce the boundary
Solution Brief
Ensage AI Security for Semiconductor
Ensage AI Security for Semiconductor Design
1-page white paper
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AI agents are entering semiconductor design flows through coding assistants, MCP-based tools, EDA vendor agents, and internally built scripts, often arriving before review processes can standardize them. Licensed cores, foundry PDKs, and EDA tool outputs carry contractual obligations, and one leak can breach them.

An agent does not have to violate a rule to expose critical IP. The user, the device, and the destination can all be approved. What's missing is the one piece of context none of those approvals capture: which project the agent is acting for. This brief lays out how Ensage AI closes that gap by enforcing project-scoped reachability and credentials outside the agent itself, so a compromised or misconfigured agent on one project cannot reach another project's data, regardless of what its prompts, hooks, or configuration say.

 

What this brief covers
01
Reachability How Virtual Chambers keep Project B unreachable from Project A's enclave, shielding high-value assets like foundry PDKs from a compromised agent inside the boundary.
02
Credentials Why provider API credentials stay at the AI Session Controller and never touch the session host, so sessions using unknown keys can be blocked outright.
03
Inspection How sessions terminate at the controller for in-flight inspection of prompts, uploads, responses, and tool calls, with detection on keywords, PII, and sensitivity labels.
04
Evidence Why decrypted content and session records stay in systems you designate, inside your environment, in a form suitable for customer and partner audits.

"An AI agent can expose critical IP without violating an existing rule."

Written for
CISOs and security architects at semiconductor and EDA companies evaluating AI coding agent adoption
Security teams supporting design engineering organizations with active or shadow AI agent use
Teams responsible for licensed core, foundry PDK, and EDA tool contractual and IP obligations
Anyone responsible for answering: which project is this agent acting for, and what can it reach