Yaga operates within the defined scope, like a human pentester would, but in hours.
Surface analysis, service enumeration and asset discovery within scope.
Offensive attacks adapted to the environment, not generic scanner payloads.
Understands application behavior and adapts tests to what makes sense.
Only delivers what's exploitable. Every finding passes technical criteria before moving forward.
Most platforms claiming to do AI pentesting are scanners or LLM wrappers. Yaga is another category.
Runs fixed payloads hunting known flaws. Doesn't adapt, doesn't contextualize, doesn't truly exploit.
LLM wrapper calling nuclei, sqlmap and others. Repeats commands without understanding the app.
Proprietary offensive agent that performs recon, interprets context, adapts attacks and delivers confirmed findings.
Yaga runs the first offensive layer of the pentest. Then, human specialists validate every finding and go deeper on scenarios that require human experience. That combination is what sets HackerSec apart from fully autonomous platforms and fully manual consultancies.
During development, we built several internal agents and ran a competition to see which was best. One was codenamed 007. Another, John Wick. In the end, John Wick won. Since we couldn't officially use that name, we went with his nickname in the movie: Baba Yaga, the figure associated with real danger and facing risk head-on. That's how Yaga was born.
From modern apps to complex infrastructure.
Yaga runs inside the HAS Platform. Talk to our team to see how it works in practice.