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Reads code like your best reviewer. Never gets tired.

LLM-powered static analysis that follows data across files, services and frameworks, then asks the only question that matters: can an attacker actually reach this?

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const invoice = await db.find(req.params.id)
if (!invoice) return res.sendStatus(404)
// no ownership check
res.json(invoice)
Agent: user-controlled id reaches db.find without an owner check. Reproduced as another tenant.
SQL injection, XSS, SSRF, IDOR, Broken access control, Insecure deserialization, Template injection, Command injection, XXE, Race conditions, Business logic flaws, Cryptographic failures

The old way

Rule-based scanners pattern-match their way to a thousand maybes and leave you to sort them out.

The Enforster way

Enforsterreadsintent.Itunderstandsyourauthmodel,yourORMandyourbusinessrules,andonlyraiseswhatitcanexplain.

What you get.

90.2%

detection accuracy

Three steps. That’s it.

01

Connect GitHub, GitLab or Bitbucket

02

Every PR is reviewed in context

03

Merge the suggested fix

Catches things like

  • SQL injection
  • XSS
  • SSRF
  • IDOR
  • Broken access control
  • Insecure deserialization
  • Template injection
  • Command injection
  • XXE
  • Race conditions
  • Business logic flaws
  • Cryptographic failures

  • That’s the idea. Most teams run both for a sprint, compare the queues, then switch off the noisy one.

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