Every run makes AISLE better

AISLE carries fluid context from every decision you make. That way, you never see the same false positive twice, and there are no configs to maintain.

How AISLE improves

Context that updates with each run

AISLE doesn't train on your code. Instead, it builds context at the repository, product, or codebase level, updates it with every run, and reads it before analyzing new findings.

  • A threat model for every repository

    AISLE accelerates your work on threat models: simply connect a repo and AISLE maps its behavior, trust boundaries, and code exposure.

  • Your triage decisions become context

    Dismiss a finding and explain why in natural language. AISLE turns your reasons into guidance so you never have to explain the same thing twice.

  • Add your own context in plain English

    Upload notes on your architecture, controls, or policy. Apply them to one repo, a product, or your whole codebase.

Stay in control

You own your context

Everything AISLE learns about a repository is visible, editable, and dated.

See what AISLE sees

Open the threat model for any repo and check its assumptions.

Edit anything

Refine your context in natural language. Every change is permissioned, dated, and attributed.

Set the scope

Apply your context to one repo, one product, or everything your company does.

Accept risk with an expiry

Accept a risk for a given amount of time. When time's up, AISLE resurfaces it.

Zero data retention

Due to our strict zero data retention policy, your source code is never used to train LLMs.

Questions

Frequently asked questions

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AISLE self-improvesSee how