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Token efficiency

Give your assistant the answer, not the codebase.

An AI coding assistant hunting for vulnerabilities reads file after file. With Vulkro it reads the finding instead, and while you build it asks Vulkro's own code search instead of grep.

Connect your assistantWhy it saves tokens

01Why it saves tokens

Your assistant reads the result, not the search.

A model can only look for something by reading. Vulkro does the looking on your machine, without a model, and hands over what it found.

The longer explanation, with sources
The finding instead of the codebaseTo rule out a missing check anywhere, an assistant has to read everywhere. With Vulkro it reads one finding and the lines behind it.Security review: 66% fewer tokens than an AI agent reading the code itself, finding as many real issues in total (238 of 280). Measured with vulkro 0.32.0 on 2026-10-07, on Vulkro's own test apps, which were used to develop Vulkro, so the result is flattered.
A map of a codebase it does not knowDropped into an unfamiliar codebase, your assistant asks Vulkro's code search for the code that matters most and what depends on it, instead of opening file after file.55 to 69% less code read than an agent reading files.

02No AI in the scan

No AI in detection. The same code gets the same answer.

Vulkro finds and proves vulnerabilities with deterministic analysis, so it spends no model tokens itself, and asking again costs nothing new.

Model tokens Vulkro spendsTokens

  • Finding the vulnerability0
  • Proving it, hop by hop0
  • Checking your agent's fix with a second scan0

It costs CPU time on your machine instead.

What is the 66% measured against?
Against an AI agent reading the code itself. On Vulkro's four labelled test apps, both found 238 of 280 real issues in total (not the same ones in every app), and the agent asking Vulkro used 66% fewer tokens, cost 59% less and took 91% fewer turns. Measured with vulkro 0.32.0, 2026-10-07. Vulkro was developed against these apps, so the result is flattered: expect less on your code. It covers security review: for finding every use of a name, or explaining one function, the saving is small or none.
Does Vulkro use AI to find vulnerabilities?
No. There is no AI in detection, so the same code gets the same answer. Optional AI features can explain a finding or suggest a patch; they are off unless you turn them on and never change a finding, its severity or an exit code.
Does my code go to a model?
Not from Vulkro. The scan runs offline and your code stays on your machine; only the result reaches your assistant. What your assistant then sends to its own model is up to the assistant you run.
How accurate are the findings?
We publish our detection results, including what we miss, on the proof page.

03What it is worth

Put in your own numbers.

Two inputs: the time your team spends finding and tracing security issues, and what your assistants spend reading code.

Saved a month

$4,190

$50,280 a year

Engineering time
$3,600
AI agent spend
$590

An estimate from your numbers. Vulkro does the finding and the tracing, so each issue reaches your team with the path behind it. AI spend uses the 59% lower bill measured on a security review against an AI agent reading the code itself, finding as many real issues in total (238 of 280). Measured with vulkro 0.32.0 on 2026-10-07, on Vulkro's own test apps, which were used to develop Vulkro, so the result is flattered.

Give your assistant the answer.

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