Zolt SecurityAI code review
Code securityAI SAST · IaC · Secrets · SCA · SBOM

Five security problems. One agent that reads code.

Static analysis, infrastructure misconfiguration, leaked secrets, vulnerable dependencies and a signed inventory — reviewed by one agent that understands how your application actually works, and reports only what it can prove.

651 candidates · 3 proven
Resource graph · prodlive
ingresssvc/apisvc/jobsrole: adminbastionrds/prodCUSTOMER DATA37 misconfigs · 1 chained path to data
651
raw candidates surfaced per pass on a mid-size monorepo
3
reach your team — each with evidence and a proof of concept
100%
of git history and every branch searched for secrets
24/7
continuous re-scan as advisories and code change
IaC scanning

Three “medium” misconfigs. One critical breach.

Terraform, Kubernetes, Docker and CloudFormation. Resource-graph reasoning chains multi-hop paths from a public endpoint to your data — and ranks them by what they actually reach.

◇Graph reasoning across resources, not per-file rules
◇Multi-hop paths from internet to data store
◇Severity by blast radius, not by rule class
The problem

Four tools, four queues, and nobody reading any of them.

FragmentedSAST, IaC, secrets and SCA live in separate products that never see each other’s findings.
No contextRule engines match syntax line by line. They cannot tell a reachable flaw from dead code.
UnrankedHundreds of results with no exploitability signal, so the team learns to close the tab.
DisconnectedA medium misconfig plus a leaked key plus a reachable CVE is a critical chain nobody is chaining.
How it works

From repository to proof, in five passes.

01
Comprehend
Reads the repository and builds a model of the application and its infrastructure.
02
Map the surface
Finds every route, entry point, credential and trust boundary.
03
Trace
Follows untrusted input across files, and resources across the infra graph.
04
Chain
Connects findings across domains into multi-step attack paths.
05
Verify
Tries to kill every candidate. Only survivors ship, each with a PoC.
Capabilities
◇ Cross-domain chaining
A public endpoint, a stale key and a reachable CVE are reported as one path, not three tickets.
◇ Reachability
Findings state whether the vulnerable path can actually be reached, and from where.
◇ Adversarial pass
A dedicated review assumes each finding is false and tries to disprove it before you see it.
◇ Standards mapping
Every finding maps to OWASP, CWE, CVE, GHSA and CVSS for your existing process.
◇ Fix guidance
The exact version, the exact line, or the exact resource policy that closes it.
◇ Ephemeral scanning
Each pass runs in an isolated environment that is destroyed when the audit ends.
In the product

One queue, ranked by what is actually exploitable.

Findings from all four domains land in a single view with evidence, trace, and proof of concept attached.

Findings dashboard screenshot
FAQ

Code security, in detail.

How is this different from running four separate scanners?
The engines are only the recall layer. One agent reads all four streams against a single model of your application, which is what makes cross-domain chaining and reachability possible — and what lets it delete the 648 candidates that are not real.
What languages and frameworks are supported?
Go, TypeScript and JavaScript, Python, Java, Ruby, PHP, C# and Rust for code analysis; npm, PyPI, Go modules, Cargo and Maven for dependencies; Terraform, Kubernetes, Docker and CloudFormation for infrastructure.
Does it need production access?
No. Read-only repository access through a GitHub App you control, scoped to the repositories you choose, revocable at any time.
How noisy is the first scan?
The first pass surfaces the most because it covers your full history. After the adversarial pass, a mid-size monorepo typically produces a handful of verified findings, not hundreds.

Put Code security on your codebase.

Connect GitHub and get verified findings in minutes — evidence and proof of concept included.