Security thinking for people building with agents.
Clear architecture, honest limits and practical controls for teams giving frontier tools real authority over code and systems.
Permission prompts are not a security boundary
Agent permissions are useful, but a prompt that developers routinely bypass cannot carry the whole security model. The answer is a narrower independent boundary around the actions that matter most.
Why AI development needs a deterministic security layer
Frontier models can reason about risks that rules have never seen. They are not a stable substitute for reproducible policy, continuous checks or audit evidence.
23 July 2026 · 8 min readWhat changes when an AI agent gets your shell
The risk is no longer limited to a bad code suggestion. A capable agent can touch files, databases, cloud tooling, deployment systems and every credential available to the session.
23 July 2026 · 9 min readAI agents change the software supply chain, not just the code
A dependency suggestion, MCP server, skill or persistent instruction can alter the trust boundary faster than a source-code edit. They deserve the same continuous scrutiny.
23 July 2026 · 7 min readCode integrity. Supply-chain trust. Agent authority. Deterministic controls. The operating model that lets frontier tools move quickly without asking them to police themselves.
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