Security series · Part 3 of 3

PreAI: Security for the Development Side

Parts one and two showed that the AI-specific attack is born on the development side and rides downstream. PreAI is the enforcement we built to live exactly there — in the editor, the repository, and the CI gate.

PreAI runs the same engine two ways — live in the editor as a developer types, opens, and saves, and headless in your pipeline as a merge gate. It turns the principles of the previous two parts into concrete checks that run where the risk is born and cheapest to contain.

And it does so under a constraint that matters for a regulated lender: it runs entirely on the developer's own machine. No code, file names, or results are ever sent anywhere. The only optional network call is fetching a threat feed from a source your organization chooses and controls — which is precisely why it works in finance and healthcare environments where cloud-based scanners are not allowed.

Runs in VS Code + CISame engine live in the editor and headless in the pipeline
Blocks risky actions before they runGuard: allow, ask, redact, or deny — across every AI agent
100% local · zero telemetryNo code, filenames, or findings leave the machine
Mapped to OWASP LLM Top 10 & MITRE ATLASEvery AI finding slots into a framework auditors trust
All major package ecosystemsnpm, pip, Go, Rust, Maven, .NET and more
No runtime dependenciesBuilt for tightly-regulated, air-gapped-friendly use

Where it sits: the development side, enforced

Detection finds risk; Guard prevents it — stepping in front of each action an AI agent is about to take and deciding, per action, to allow, ask, redact, or deny it before it runs. The same engine powers both, with no new network access, and every decision carries the same OWASP LLM Top 10 and MITRE ATLAS labels as the matching detection.

See it in action

Explore the full check catalogue on the features page, or start a 14-day trial.

Ship AI-assisted code with confidence

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