Find what's hiding in your codebase.

Zynoptes runs AI security review across your whole repo, not one file at a time. We catch the cross-file vulnerabilities that other scanners walk right past.

4,218findings surfacedSOC 2 Type II in progressDeploys in minutes
SQL InjectionSSRFPath TraversalAuth BypassCrypto MisuseDeserializationRace ConditionsSecret ExposurePrompt InjectionXXEOpen RedirectCommand InjectionPrototype PollutionInsecure DeserializationIDORCSRFMissing AuthorizationHardcoded CredentialsSQL InjectionSSRFPath TraversalAuth BypassCrypto MisuseDeserializationRace ConditionsSecret ExposurePrompt InjectionXXEOpen RedirectCommand InjectionPrototype PollutionInsecure DeserializationIDORCSRFMissing AuthorizationHardcoded Credentials
01The problem

Most security toolscan't see the whole picture.

Modern codebases are tightly interconnected. A vulnerability rarely lives in one file. It lives in the path data takes through a dozen of them. A tool that only scans one file at a time won't find it.

01

Shallow scanning

Most scanners look at one file or commit at a time with a generic prompt. They can't follow data across a real codebase, so cross-file taint flows slip past them.

02

Gated access

Deep AI security review does exist. It's gated behind private partnerships with frontier labs, and you only get to use it if you're a top-tier enterprise customer. Everyone else gets the shallow version.

03

No infrastructure layer

No platform lets a normal team apply AI to security properly. Models burn context, compact too early, and return unreliable output on anything bigger than a toy repo.

How Zynoptes sees your repo

The whole codebase. Understood at once.

Scroll to watch Zynoptes take in an entire repository and reason across it, following the connections between files that single-file scanners never see.

Stage 01Sees everything

It sees your whole codebase.

Not one file at a time. Zynoptes takes in your entire repository and how every part of it connects, so nothing important falls through the gaps between files.

Stage 02Knows what matters

It knows what matters.

Most of a codebase isn't where the risk lives. Zynoptes zeroes in on the code that actually handles sensitive data, trust, and access, so effort goes where it counts.

Stage 03Reasons, never guesses

It reasons, it doesn't pattern-match.

Instead of matching patterns against single files, Zynoptes follows how data and trust actually move through your system, the cross-file paths a scanner can't see.

Stage 04Proves every finding

It proves every finding.

Every result is checked and ranked before it reaches you, so you get a short list of real, verified issues instead of a wall of false positives to triage.

codebase graph
apiauthreqvalsqlhttpcfgsecresSQLi
taint path · api → sql
04Security workflows

Workflows that find what scanners miss.

Each Zynoptes workflow runs over a focused subgraph. The model only sees the code relevant to the question, so it can actually answer 'does this input reach that sink?' instead of 'this file looks fine.'

Injection & data flow

Taint tracking from every entry point to every sink, across modules. We follow the data, not the file it happens to live in.

SQL Injection (CWE-89)Command Injection (CWE-78)SSRF (CWE-918)Path Traversal (CWE-22)XXE (CWE-611)Open Redirect (CWE-601)Insecure Deserialization (CWE-502)
Example findingsverified · deduplicated
CRITICALCWE-89
Unsanitized route param reaches raw SQL executor across 4 modulesapi/router → validate → sql/exec
CRITICALCWE-918
Webhook URL forwarded to internal metadata endpoint without allowlistwebhooks/handler → http/client
HIGHCWE-22
Attachment filename joined to storage root without normalizationfiles/resolve → fs/read
05Vulnerability explorer

Click a finding. See the whole path.

This is what a Zynoptes finding looks like: not a line number and a guess. Every result traces the data from source to sink, shows the exact vulnerable code, and ships with a verified fix. Try it.

CRITICALZYN-001CWE-89SQL Injection

Unsanitized route param reaches raw SQL executor

Taint flow · source → sink
sourceapi/router.tsreq.params.id
transformvalidate/sanitize.tsskip (no rule)
sinkdb/query.tssql.raw(q)
vulnerable.ts
42router.get('/users/:id', async (req, res) => {
43 const { id } = req.params;
44 // validate: id checked for presence only
45 const q = `SELECT * FROM users WHERE id = ${id}`;
46 return res.json(await db.raw(q));
47});
Impact

An attacker can append SQL to the id parameter and read, modify, or destroy any table the DB user can reach. Pre-auth on public routes.

Verified fix

Parameterize the query: `db.raw('SELECT * FROM users WHERE id = ?', [id])`. The validator should reject non-numeric ids before the value reaches the executor.

Finding reachable across 3 modules
06Zynoptes vs SAST

Pattern matching vs. actual reasoning.

Traditional SAST tools match signatures against files. Zynoptes reasons over the relationships between them. The difference shows up in what each one can, and can't, find.

Capability
Traditional SAST
Zynoptes
Coverage
Reasons across the entire repositoryNot file-by-file scans
Traces cross-file taint flows (source → sink)Most SAST traces within a single module
Follows data across services & boundaries
Intelligence
Context-aware, not just pattern matchingModels intent, not signatures
Adapts to your codebase's conventions
Quality
False-positive rate under 3%Verified before you see them
Deduplicates overlapping findings
Access
Self-serve, no enterprise contract to start
First results in hours, not quarters
SupportedLimited / partialNot supported
See it on your repo
07Validation

We tested against one of the most security-scrutinized targets we could find.

On a rolled-back, sandboxed fork of a widely-deployed open-source TLS library, Zynoptes independently surfaced substantive vulnerabilities, including a pre-auth memory-safety issue and a cross-module state-confusion bug that external audits had missed for years.

All on the limited budget of two college students. No frontier-lab partnership, no private model access. Just the harness.

0verified vulnerabilitiesSurfaced in days
0CVE-grade findingsConfirmed by maintainers
Daysvs. quartersOf manual expert review
Target profilesandboxed
Codebase
Open-source TLS library
Language
C · low-level systems
Scope
Rolled-back historical fork
Prior audits
Multiple, multi-year
Run budget
Two students · days
Composite riskpre-audit
0/ 100
Pre-audit risk scoreExploitability × impact · surfaced by Zynoptes
3Critical
7Exploitable
2Pre-auth
before87
−86% risk
after12
Severity distributionby count
0findings
Critical00%
High00%
Medium00%
Low / Info00%
Finding highlights3 of 84
CRITICALPre-auth memory-safety issue in handshake parserReachable before any authentication state is established.
CRITICALCross-module state-confusion enabling certificate-chain bypassTwo modules disagreed about session scope; the gap was exploitable.
HIGHTiming side-channel in constant-time comparison fallbackA defensive fallback path silently reverted to a leaky comparison.
Works where you work

Findings land where your team already is.

No new dashboard to babysit. Zynoptes files findings as PR comments, tickets, and chat alerts, at the commit that introduced them.

GitHubSource
GitLabSource
SlackAlerts
JiraTickets
LinearTickets
CI/CDGate
PR comments

New findings annotate the exact line in the pull request that introduced them.

Ticket sync

Verified findings auto-file as Jira or Linear issues with full taint path attached.

Chat alerts

Critical findings ping the right Slack channel the moment they're confirmed.

10Pricing

Priced to your codebase, not your headcount.

A flat base that covers most codebases, then it scales with the size of the code we analyze. Run scans whenever you want, you pay for your codebase, never per seat or per scan.

Most popular
Scaletier 01
$3,000/ month
+ $600 / 100K LOC

Scales with your codebase past 500K lines. You pay for size, not per seat or per scan, so run it as often as you like.

1M LOC ≈ $6K/mo · 2M LOC ≈ $12K/mo

  • Full-repo analysis and cross-file reasoning
  • All security workflows included
  • Unlimited developers
  • Run scans whenever you want
  • Priority verification and deduplication
  • Quarterly security review
  • Dashboard exports and integrations
Enterprisetier 02
Custom

For 5M+ lines, regulated industries, and larger orgs that need to control deployment.

  • Everything in Scale
  • SSO / SAML & SCIM
  • SLAs & uptime guarantees
  • VPC / on-prem deployment
  • Dedicated security engineer

Priced by codebase · unlimited seats · run scans whenever you want

11FAQ

Questions, answered.

Still have something specific in mind? We're happy to talk through your stack, your repo, and what a first pass would look like.

SAST tools match signatures against individual files. Zynoptes ingests the entire repository into a graph model and reasons across the relationships between files, so it can trace a tainted input from an API route, through a validator, into a SQL executor three modules away. Pattern matchers can't see that path. We can.

13Request an audit

Stop developing in the dark.

Turn the lights on for your coding agents with Zynoptes. Connect a repo and we'll run a full-repo security pass, surfacing the cross-file vulnerabilities your scanners can't see.

  • Whole-repo reasoning, not file-by-file scans
  • Verified, deduplicated, severity-ranked findings
  • First results within hours, not quarters
  • No procurement cycle to start
Your code never leaves your VPC on Enterprise
Security audit requeststep 1 / 1

We'll never share your code or contact details.