Application security testing
Find the holes in your app before someone else does.
Plumbline points an AI penetration tester and three proven scanners at your code, checks their findings against each other, and shows you what is new, what is fixed and what still needs work.
Or write to us at hello@nusoft.co
payments-api
Scan 14 of 14
- new
- 2
- still open
- 11
- fixed
- 3
- Critical
SQL injection in invoice lookup
app/invoices.py:42
Confirmed by SemgrepNew - High
Credentials sent on HTTPS to HTTP redirect
requirements.txt
TrivyFix: requests 2.32.4 - High
Hard-coded payment API key
config/settings.py:8
Gitleaks - Medium
Reflected XSS in search results
templates/search.html:17
AI tester
How a scan works
From a repository to a list you can work through.
- 01
Give us the code
Upload an archive or point us at a public GitHub repository. Before anything runs, you confirm you are allowed to test it.
- 02
Four checks, same files
An AI agent probes the app the way an attacker would and writes proof for what it finds. Semgrep looks for unsafe code, Trivy for dependencies with known vulnerabilities, Gitleaks for passwords and keys left in the code.
- 03
Findings are cross-checked
When the AI and a scanner flag the same problem in the same place, it is marked confirmed. Those are the ones to fix first.
- 04
Each scan is compared to the last
You see what is new, what is still open and what you fixed. Mark something a false positive once and it stays dismissed.
Why two opinions
AI is good at finding problems. It is also good at being wrong.
An AI tester can string small weaknesses together into a real attack, something a rule-based scanner will never do. It can also report problems that are not there. Scanners are the opposite: predictable and narrow, and blind to anything their rules do not describe.
Plumbline runs both on the same code and tells you where they agree. Agreement is the strongest signal you can get without a person reading every line.
| AI tester | Scanners | |
|---|---|---|
| Chains small issues into a real attack | Yes | No |
| Writes a proof of concept | Yes | No |
| Same code, same result, every time | No | Yes |
| Checks published vulnerability databases | Partly | Yes |
| Both agree on the same issue | Marked confirmed | |
What you get
Results that slot into the work you already do.
A report nobody opens fixes nothing. Every finding comes with what it takes to close it, and every scan feeds the tools your team already uses.
- Findings you can act on
- Severity, the exact file and line, the package version that fixes it, and the steps to fix it.
- A history for every project
- Findings over time, with new and fixed counts for each scan, so you can see whether things are getting better.
- Exports that fit how you work
- CSV, a Jira import file, and SARIF for the GitHub security tab.
- A gate for your pipeline
- Fail a build on new high-severity issues without blocking on old ones you have already accepted.
- Your own AI key, if you want it
- Run scans on your own Grok account. Keys are encrypted and never shown again after you save them.
The ground rules
We only test what you are allowed to test.
Every project needs an authorization statement before its first scan, and it is kept on record with a timestamp.
Secrets we find stay secret.
A leaked key is reported by file and line. The value itself is never stored.
Scans run in a throwaway workspace.
The working copy used for a scan is removed when the scan ends. The results are what we keep.
Want your app checked?
Book a short call and tell us what you are building and where the code lives. We will set up a first scan and talk through what it finds.