AI-based IAST

The problem

• Point-in-time pentests miss what ships after the report is written.
• Scanners that only see requests and responses miss how the application really handles your data inside.
• Teams drown in unvalidated alerts and stop trusting the tool.

How we test

1. 01

   Instrument the running app

   Our agents observe the application from the inside at runtime, so a test sees the code path, the data flow and the response together.

2. 02

   Test continuously, at machine speed

   Agentic AI explores routes, inputs and auth states around the clock, and keeps testing as new releases land.

3. 03

   Validate every finding by hand

   An expert reproduces each candidate, rules out false positives, and looks for chained or creative exploitation.

4. 04

   Feed context back

   What we learn about your stack goes back into the agents, so the next pass is more targeted.