Security Foundation

A more capable companion only matters if the platform underneath it is trustworthy.

That is why the AI Companion work has been moving alongside a broader security and infrastructure hardening pass across the live platform. The companion is not being built in isolation. It is being built on top of a safer default environment.

Recent platform work already live in production includes:

• tamper-resistant audit records for sensitive actions

• stronger, unified authentication across the platform

• access tokens kept only in browser memory, not written to disk

• secrets stored hashed at rest

• platform-wide rate limits to reduce abuse

• stricter isolation between previews and embedded widgets

• closure of older exposed or weak API paths

• stronger security awareness inside the code generation model itself

The point of this work is simple: autonomy without trust is not a product worth shipping.

The model layer behind code generation has also been updated to recognize and warn against a growing list of common security pitfalls.

That includes issues such as:

• cross-site scripting

• unsafe signature handling

• cross-origin access mistakes

• insecure token contract permissions

• unsafe automation patterns

• other known review blockers

The result should be fewer bad suggestions, fewer avoidable review failures, and output that is safer by default.