AI Fuzzer

Find the crash before the adversary writes the exploit.

Coverage-guided fuzzing for your own applications, protocols and parsers, with an AI that proposes inputs a human would not think of and triages the crashes it finds.

ForSoftware teams, product security, critical systems
TargetsWeb APIs, binaries, protocols, file parsers
OutputReproducible crashes with ranked impact
Overview

Most of the vulnerabilities that matter were never in a scanner's database; they were waiting in code nobody had tested with the right malformed input. AI Fuzzer generates those inputs at machine speed, measures what each one reaches and keeps the ones that find new paths.

The AI does the tedious part: it clusters thousands of crashes into a handful of root causes, writes the minimal reproduction and estimates exploitability, so engineers fix the one that matters first.

Capabilities

  • Coverage-guided and grammar-aware input generation
  • AI-proposed seeds from specifications and sample traffic
  • Automatic crash clustering and minimisation
  • Exploitability estimate and ranked fix list
  • Continuous mode in your build pipeline
  • Findings flow into the platform's incident workflow
How it works

AI Fuzzer

01Describe

Point the fuzzer at a binary, an API specification or a captured protocol session.

02Generate

Inputs mutate under coverage feedback; the AI proposes structured candidates.

03Triage

Crashes are clustered, minimised and ranked by likely impact.

04Fix and verify

Each fix is re-tested automatically against the stored reproduction.

Outcomes

Find the crash before the adversary writes the exploit.

01

Unknowns found

Bugs no signature could have caught, in your own code.

02

Engineer time saved

One root cause to fix instead of a thousand crash reports.

03

Proof of testing

A replayable record of what was tested, when and how deeply.

See this module on live data.

A focused 45-minute session with your team, in Doha or online.

Request a briefing