Most security vendors hand you a report and an invoice. We attack your systems continuously, prove what we actually found, and hand back the patch, the detection that catches it, and the test that stops it coming back.
Free scan of your repository or deployment within 48 hours. Engagements from $500. No account, no sales call.
A claim you cannot check is a slogan. Every promise on this page points at something you can open, run, or hold us to.
Send us a public repository or a deployment URL. You get a verified report — attack paths we actually executed, the evidence, the patch, and the detection — at no cost, with nobody asking you to book a meeting.
We only use what you send to test the target you named. It is never used to train a model and never shared. Read the privacy policy.
A redacted example from a real engagement class: a cross-tenant read in a multi-tenant API. This is the shape of every finding we ship. The report is one page — the other four artefacts are what make it worth paying for.
The object identifier is ours to change. We change it and watch what the service says.
One request, no retries, no race condition, no fluke. It returns another customer's data, every time.
A diff against your code, in your repository, passing your own test suite. Not a paragraph about a diff.
A fix without a detection is a fix that silently regresses. We ship the rule and prove it fires.
The regression test fails before the patch and passes after. Then we re-test it on every future cycle.
Download the free 3D digital security assistant. Runs locally, talks to your repo, scans IPs, looks up CVEs, and maps attack paths. Upgrade to Pro ($19 / month) for unlimited scans, PDF reports, attack-path mapping, and the premium 3D avatar.
Every service below runs the same loop: attack, verify, patch, detect, prove. The difference is the scope and the depth.
Adversary emulation against a scoped target — web, API, cloud, network or mobile. Chained techniques, not a checklist scan, with every finding reproduced before it is reported.
From $500The same attacks, on a clock, against the surface you actually run. A fix that regresses is caught by us before an attacker catches it again.
24/7The other half of the loop. We write the rules that catch the activity, test that they fire, and tune them against your real telemetry instead of a generic rule pack.
Detection as codeStatic and dynamic analysis of dependency graphs, build pipelines and package registries. Compromised packages, typosquatting and insecure build configuration — found before they reach production.
CI/CD integratedAI-assisted pull request review that catches security anti-patterns, injection risks, authentication flaws and cryptographic misconfiguration — before the merge, not after the incident.
GitHub integrationCustom fuzzers, static analysers and CI security gates tailored to your stack. The components we build for clients are published under our GitHub organisation.
Open sourceNo discovery invoice, no hourly billing surprise, no retainer you cannot cancel. Fixed scopes, published rates, and a free first scan so you know what you are buying before you buy it.
One repository or deployment, scanned and attacked by our own agents, with everything we find verified.
One repository or one application, attacked to a defined depth, with the fixes and a ranked backlog.
A full red team engagement against a scoped target, with adversary simulation, command evidence and a tested detection backlog.
Autonomous scanning and retesting on a clock, so a fix that regresses is caught before an attacker finds it again.
Also available: supply chain and CI/CD audit, cloud and container posture review, blue team detection engineering, dirty room malware analysis, and clean room reimplementation. Full rate card →
A consultancy, a scanner, or an autonomous team that does both and ships the fix. Here is the honest comparison, including where the other two are the better answer.
| Classic consultancy | Point scanner | PreCog Security | |
|---|---|---|---|
| First report delivered in | Weeks, after scoping | Minutes, unverified | 48 hours, every finding reproduced |
| Who does the work | One consultant, in a time window | A rule engine | An autonomous team, every day |
| Proves the attack path works | Yes | No | Yes — or we do not report it |
| Fix included in the work | No | No | Yes — as a diff in your repo |
| Detection shipped | Sometimes, untested | No | Yes — and proven to fire |
| Regression test included | No | No | Yes |
| Re-tested later | Another engagement | Another scan | Every cycle, automatically |
| Cost for one application | Quoted per engagement | Subscription or free tier | $500, published |
| Where the output lands | A PDF | A dashboard | Your repository, yours to keep |
Where the other two are the better answer: if you need a specific compliance attestation with a certificate behind it, or you need a named human to sign off for your board, book a consultancy. We do not issue those. Where you need an attack that is actually proven, a fix that is actually applied, and a detection that is actually tested, this table is the shortlist.
We do sell a scanner. The API behind it is free and open source, and it is the on-ramp, not the product: it finds candidates. It cannot prove the attack path, apply the fix, leave a detection behind, or remember what it fixed last quarter — which is the rest of this table.
The same pipeline every time, whether the engagement is a $500 audit or a continuous engagement. You always know which step you are in.
What we may touch, what we will not, and how we contact you if something unexpected happens. Agreed in writing before a single request is sent.
Chained techniques executed against your running system, using the paths a real attacker would take — not a signature checklist against a copy.
Every candidate finding is executed end to end. If the path does not work, it is not a finding — it is discarded, and it does not reach your dashboard.
The fix lands as a diff against your code, in a branch you control, and is run against your own test suite before you ever see it.
For every technique that landed, a detection is written and tested against real activity. We do not close a finding until the rule fires.
A test that fails before the fix and passes after it, plus a re-test of every fix we have shipped, so nothing quietly comes back.
Most security vendors show you case studies written by a marketing team. We publish the operations log of the autonomous team that does the work — what it found, what it shipped, and what it changed this month.
Every agent, every target class, every finding and every shipped fix — published as it happens, not case-studied six months later.
Open the operations log →The triage rules, the evidence bar, the scope classes and the promotion criteria we use on ourselves — written down so you can audit them before you trust them.
Read the method →Scanning is the cheapest control you will ever buy and it is worth having. It is also the control that finds things and leaves them there. The gap, in plain terms.
Read the article →How we handle a vulnerability in someone else's code: triage, severity, timelines, and the rule that we do not publish before the responsible party has had a fair chance to fix it.
Read the disclosure policy →No. Black box testing against the running application is the default, and it is the more honest test. If white box access would produce a materially better result we will say so and scope it separately — we do not quietly ask for credentials we do not need.
No. Availability is treated as a production dependency, not a test resource. No denial of service, no destructive action, no wiping. Where an engagement needs a destructive effect we simulate it instead, and we agree the rules of engagement with you in writing first.
A report a CTO can act on: an executive summary, the findings with exact paths and working exploits, the fixes as diffs with regression tests, and the detections that would have caught the activity. Plus the raw evidence, so anyone on your side can reproduce every claim.
Because a model can describe a vulnerability but cannot prove the attack path works, cannot run your test suite, cannot write the detection, and cannot remember what it fixed last quarter. The full answer is here.
You get a clean report that says exactly what was tested, how it was tested, and what was out of scope. That document is evidence of coverage, it is yours to keep, and it is more useful than a long list of theoretical issues.
The free scan is scoped within 48 hours of your request. Engagement start dates depend on scope, and we will tell you the real date rather than a hopeful one.
No. What you send is used only to test the target you named, for your engagement. It is never used to train a model and never shared with a third party. We will put that in the engagement letter.
Yes. Disclosing to the vendor is the default because it is what actually gets you fixed, but confidentiality is the norm and coordinated disclosure is standard practice — we do not publish a finding before the responsible party has had a fair chance to fix it.
Tell us about the target and the deadline. We will scope it, price it against the published rate card, and tell you the real start date.