Real findings.
No theater.
We break into systems the way real attackers do, then hand you a report your engineers can act on: reproduction steps, evidence, and a fix order.
What we test
Every engagement is scoped to a question you need answered, not a checkbox. You get the people who do the work in the kickoff call and in the debrief.
Penetration Testing
Web applications, APIs, external and internal networks, cloud configurations. Manual, hypothesis-driven testing with tooling in a supporting role. Every finding ships with reproduction steps and a severity you can defend to your own team.
Red Team
A defined objective and the freedom to reach it the way an intruder would: initial access, lateral movement, persistence. Measures your detection and response, not just your patch level.
Adversary Simulation
Replays the tradecraft of the actors that target your sector, mapped to known TTPs. Your blue team gets a scored timeline: what fired, what didn't, and what to tune first.
How an engagement runs
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Scope
One call to agree on the question, the targets, and the rules of engagement, then size the timeline in days, testing and the report both. You get a fixed quote, with no meter running.
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Enumerate & sweep
We work least-privilege to most-privilege, logging every asset we touch. First pass checks the full scope for the highest-likelihood issues before we go deep on any one of them.
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Go deep
Full coverage on the first pass earns a second, in-depth one. Any finding, on either pass, launches an immediate deep dive into where it leads before we move on to the next asset.
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Report
Reproducible findings, prioritized, plus a risk score and a coverage score. Written for the engineers who will fix them and the leads who have to plan it.
- Scope
- Rules of engagement
- Liability terms
- Report
- Audit trail
- Certificate
Findings you can reproduce
A finding you can't reproduce is an opinion. Our report looks like this: severity, impact in one sentence, the exact request that proves it, and the shortest change that stops it.
Password reset issues tokens for arbitrary accounts
The reset endpoint trusts a client-supplied user ID, so any authenticated user can take over any account, including administrators. Fix: derive the target account from the session, never from the request body.
$ curl -s -X POST https://target/api/v1/reset \
-H "Authorization: Bearer $USER_TOKEN" \
-d '{"user_id": 1}' | jq .reset_token
"eyJhbGciOiJIUzI1NiJ9..." # admin token, issued to a regular userEvery claim has an artifact
Requests, responses, terminal output. If we say we got in, you can watch the replay in the report.
Fix order, not a score dump
The report opens with what to fix first and why. The methodology appendix stays in the appendix.
Risk score and coverage score
Risk tells you how exposed you are. Coverage tells you how much of the agreed scope we actually got through, so a clean report means what you think it means.
See how every finding was reached
We don't ask you to trust a black box. Every asset we touch lands in a shared knowledge graph that records where it came from, how it connects to the rest of your surface, and whether a human has signed off on it. Below is a slice of one anonymized engagement. Hover any node or edge.
Provenance
The knowledge base records the discovery path for every asset, so each finding traces back to the step that surfaced it. Nothing appears in your report without a source you can follow.
Coverage
Human reviewers tick off each asset the graph surfaces. That tally, not an agent's word, becomes the coverage score: an honest approximation of how much of your exposure we actually reached.
Attack paths
Edges record how one asset reaches the next, so the graph shows multi-step paths, one endpoint's file read to a token to cluster admin, not a flat list of isolated bugs.
Verify an engagement
Every engagement ends with a signed certificate. Anyone you hand the code to can check it here, without seeing a single finding: when you were last tested, how much of the agreed scope we covered, and where your security posture landed.
Demo code
Manual, or AI-assisted
Every engagement can run fully manual, start to finish, the default for especially critical or information-sensitive systems. Elsewhere, we bring in agents to scale across the threat surface.
Fully manual
Hands-on testing by the engineers you met in the kickoff, no exceptions. The only mode for critical or information-sensitive systems, and available on request for any engagement.
AI-assisted
Agents sweep horizontally for low-complexity issues, collect evidence of how your systems actually work, and cover attack surface a solo tester would take longer to reach. Every agent finding feeds a knowledge base shared with the reviewer running your engagement.
Coverage you can audit
A reviewer signs off on every asset agents surface. That check, not an agent's say-so, drives your coverage score.
Get a straight answer about your exposure
Tell us what you need tested and what worries you.
You'll hear back from an engineer, not sales,
within two business days.