A recursive agent loop
that compounds
offensive capability.
Drost isn't a model. It's a self-improving offensive system that comes back sharper every cycle — proven on every finding, portable across every frontier model. How it learns is our edge. What it finds is yours.
Sharper every cycle.
Proven on every finding.
Portable across every frontier model.
The loop is the product.
Most security tools are a snapshot of the day they shipped. Drost isn't. It runs, it learns from what it finds, and it returns sharper — again, and again. Capability compounds instead of plateauing. That it improves, you can measure. How it improves is the part we keep.
Engage
Drost runs real engagements against hard, authorized targets — and presses until it has proof, not theories.
Learn
Every encounter leaves the system sharper than it found it. Nothing useful is thrown away.
Compound
Each cycle starts ahead of the last. Capability accumulates instead of resetting.
And then it goes again. The distance between Drost today and Drost a month ago is the whole point — and it only grows.
Capability that accumulates.
A model is fixed the moment it's trained. A self-improving system isn't. That difference compounds — and it's why Drost pulls further ahead the longer it runs.
It gets sharper over time
Most tools are frozen at launch. Drost compounds — each cycle starts ahead of the one before it, so the Drost you run next quarter is meaningfully stronger than today’s.
It rides every frontier model
When a better model lands, Drost gets better the same day. You are never capped by a single model’s ceiling.
It improves without cutting corners
Getting better is easy. Getting better without faking it is the hard part. Drost only keeps an improvement when it survives independent verification.
The model is one layer. The trust comes from the stack.
Cyber-capable models are everywhere now. What's rare is everything around the model that turns raw capability into outcomes you can stand behind. That's where Drost lives — and that's the part that keeps improving.
The system, not the model
The model is one moving part. The durable advantage is everything built around it — and that is the part that compounds.
Judgment where it counts
The model decides where to look. The system decides what is in bounds and what counts as proof. Neither runs unchecked.
Nothing unproven ships
Every confirmed finding traces back to evidence. No guesses dressed up as results, and nothing claimed that cannot be shown.
Observations vs. proven impact.
A scanner reports patterns. Drost separates what it merely noticed from what it actually proved — and only the proven makes the cut.
- ·Missing X-Frame-Options header
- ·Server version disclosed in headers
- ·Reflected query parameter (potential XSS)
- ·API endpoint accessible without authentication
- →A viewer-level account performed an admin-only account deletion. Confirmed — reproduced under a valid session, not theorized.
- →Login accepted any password through an injection flaw, confirmed by recovering a valid administrator session.
- →An outdated server component, confirmed exploitable: internal configuration files read, with captured evidence.
Authorized, auditable, redacted.
Authorization-first
Every engagement requires explicit attestation. Out-of-scope hosts and destructive methods are blocked unless the rules of engagement allow them.
Proven, not guessed
Every confirmed finding carries evidence you can check yourself. Anything that cannot be proven stays a clearly labeled candidate.
Engineered against false positives
Drost is validated to stay silent where there is nothing real to find — it produces zero confirmed findings on a hardened control target, by design.
Redacted by default
Evidence captures only what is needed to verify a finding, never raw cookies, tokens, or PII. Proof without leaking secrets.
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Drost is in technical preview with a small group of security engineers, applied AI builders, and trusted researchers. Read the technical note, then request access.