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Deterministic application security

Deterministic security that catches what AI and humans miss.

Vulkro reads your source code on your machine and finds the vulnerabilities your team and its AI assistants both overlook: the missing access check, the query a user can rewrite, the secret left in the code. There is no AI in the scan, so the same code gets the same verdict every run, and you cut the tokens spent on security review by up to 80%. Your code is never uploaded and never enters a model.

  • Runs on your machine
  • No AI in the scan
  • Same verdict every run
$ vulkro scan

[CRITICAL] SQL injection
Untrusted user input reaches your
database with no safety check in between.
  ↳ in checkout.py
Pull the network cable. The scan still runs.

The problem

Code is now written faster than anyone reviews it.

AI assistants changed who writes software and how much of it gets written. They did not change how software fails.

Review is the bottleneck

An assistant produces four hundred lines in the time it used to take to write forty. Nobody reads generated code with the care they give their own, and the volume guarantees they never will. The gap between what ships and what was actually read grows every sprint.

The flaw has the same author as the feature

The assistant that writes your checkout flow writes its SQL injection in the same pass, with the same confidence, in code that looks right. There is no second author to catch it, because the only reviewer of record is the person who prompted it.

Asking AI to review AI inherits the problem

A model reviewing a model's code is plausible, confident, and different every run. It can miss the very class of flaw it introduced, and you cannot gate a release on an answer that changes when you ask twice.

None of this is an argument against the assistant. It is the argument for a check that keeps the assistant's pace and shares none of its failure modes.

What Vulkro is

A security scanner built for the way code is written now.

Vulkro is a program that reads your application's source code and points out the specific places an attacker could get in: the login check that is missing, the database query a user can rewrite, the secret key left in the code. Every finding names the file, the line, and the fix. It runs entirely on your machine in seconds, and because there is no AI inside it, the same code gets the same verdict every single run. It works the same on code your team wrote by hand and code an assistant generated, so it catches the flaws a rushed reviewer and a confident model both walk past.

Deterministic

No AI in the scan

150+

Security checks

0.81

Precision on a public benchmark

44 of 76

Catalogued bugs found

How it works

One deterministic check at every step your agent takes.

Vulkro sits inside the loop your AI already runs in. It catches a flaw the moment your agent writes it, keeps your code on your machine, and hands back only what needs fixing.

1

Your agent writes code

Your AI assistant ships features fast, and it ships flaws just as fast.

2

Vulkro scans it, offline

Every changed file is checked on your machine. Nothing you write is uploaded or sent to a model.

Nothing uploaded
3

Deterministic findings

A short, confirmed list of real problems. The same input always produces the same result.

4

Your agent fixes and ships

Only the findings report goes back to your agent, never your code, and a clean scan gates the deploy.

Findings only

Because Vulkro has no AI of its own, a passing scan means the same thing every time. And when your agent fixes an issue, only the findings report goes back to it, never your source.

Why Vulkro

Five reasons teams pick it over the alternatives.

Every claim below is a mechanism you can verify or a number you can reproduce, not an adjective.

vs cloud scanners

Your code never leaves your machine

Every cloud scanner asks you to upload the most sensitive asset you own to someone else's infrastructure. Vulkro's engine ships inside the binary and the analysis runs locally; the only thing that ever crosses the wire is a six-field entitlement check that never sees code, paths, or findings. You can verify this the blunt way: pull the network cable and the scan still runs.

The trust architecture

vs AI code review

No AI in the scan

A model reviewing code gives a plausible, confident, different answer each run, and spends your tokens doing it. Vulkro is deterministic program analysis: the same input produces the same verdict every time, at no token cost. That is what makes it usable as a release gate; you cannot gate a deploy on an answer that changes when you ask twice.

vs legacy SAST

Benchmarked in the open

Every scanner claims accuracy; almost none publish the test. Our corpus, harness, and scoring code are public, and we publish the comparisons we lose. On the current corpus Vulkro found 44 of 76 catalogued bugs at 0.81 precision. Rerun it yourself.

Reproduce the numbers

vs review-after-the-fact

Built into the loop that writes the code

Legacy scanners assume a human wrote the code and a human will read the report next week. Vulkro runs inside the assistant's write loop and speaks MCP, so findings go back to the agent that caused them, the agent fixes them in the same session, and a clean scan gates the deploy. The report is written for a machine to act on and a human to audit.

How the loop works

vs platform lock-in

One binary, runs anywhere

No server to stand up, no repo permissions to grant, no cloud account to procure. One binary installs on a laptop, in CI, or on an air-gapped machine with a license file, and behaves identically in all three. Adopting it is an afternoon, and so is removing it, which is exactly why teams keep it.

The receipts

The flaws behind real breaches are named checks in Vulkro.

Five incidents that made the news, and the publicly disclosed class of flaw behind each one. Every class below is a shipped, named check in the product.

missing auth

Tea

A data store reachable without authentication exposed tens of thousands of user images and government IDs. Vulkro ships exposed-database and missing-authentication checks, and its data-flow map shows which store user input reaches.

secrets

Moltbook

Live credentials shipped in client-side code, and API tokens were exposed. The secret-detection family covers this class, and it scans your git history, not just the working tree.

broken authorization

Base44

Private enterprise apps were opened up by unauthenticated privileged endpoints. The authorization family detects unauthenticated routes, and the finding can be confirmed at runtime against your own app.

IDOR

Lovable

AI-built apps shipped object access without owner checks. The IDOR family and the missing-row-level-security checks in the AI-app risk pack name exactly this class of flaw.

hallucinated dependency

Slopsquatting

AI assistants suggest packages that do not exist, and attackers pre-register those names. The hallucinated-dependency check flags them before the install happens.

Mapped from each incident's publicly disclosed root cause to shipped checks. We did not scan these companies' codebases.

The proof

More real bugs than Semgrep CE. Fewer false alarms than Bearer.

Accuracy claims are cheap. Ours are reproducible: the corpus of real projects, the harness, and the scoring code are public, so any engineer on your team can rerun the table below.

Benchmark results: Vulkro, Semgrep CE, and Bearer on the same public corpus
ToolReal bugs found (of 76)PrecisionScan time
Vulkro440.8134.4s
Semgrep CE150.6238.6s
Bearer370.36247.5s
Public corpus of real projects; 76 catalogued bugs in scope for the tools above. Rerun it yourself.

Vulkro for Salesforce

The same rigor for your Salesforce org.

Vulkro for Salesforce reviews Agentforce agents, Apex, Lightning components, Flows, and org configuration on your machine, and gets you ready for the AppExchange Security Review before Salesforce runs it.

What the edition ships

109 detector modules across Apex, LWC, Aura, Flow, Visualforce, and metadata

70+ Well-Architected rules

15+ Agentforce detectors

AppExchange Security Review readiness

The product family

The scanner, the Salesforce edition, and the free tools.

The free tools vet what enters your project. Vulkro analyzes the code you write.