CerynAI
AI-native deployment & agent security

Make the invisible visible.

AI ships apps and runs agents faster than security can review them. CerynAI scans what AI builds and what AI runs — exposed secrets, open databases, risky dependencies and prompt-injection — and hands back clear findings in under a minute.

Free first scan · no signup · results in under a minute.

Why now

AI builds and acts faster than review can keep up.

A prompt ships a production app or invokes a tool in seconds. The gap between "it works" and "it's safe" is where the risk lives — and it is widening.

10 hrs
Median time from vulnerability disclosure to exploitation — down from 56 days (Verizon DBIR 2025).
< 60 s
From pasting a URL to a graded report with a concrete fix per finding.
2 layers
What AI builds (deployment) and what AI runs (agents & MCP) — in one scan.
From uncertainty to assurance

See the risk. Understand it. Act. Trust.

01 / SEE

See

Surface the exposures in an AI-built app and its agents — automatically, from the outside in.

02 / UNDERSTAND

Understand

Every finding carries a severity, exact location, and why it matters — no noise.

03 / ACT

Act

A concrete fix per finding. Hand it to a developer or paste it back into the tool that built it.

04 / TRUST

Trust

Re-scan to verify the fix and build evidence over time — the path to continuous assurance.

Two security surfaces

What AI builds. What AI runs.

LAYER 1 · DEPLOYMENT

What AI builds

Exposed secrets, open Supabase/Firebase, public .env and .git, missing security headers, insecure cookies, and risky dependencies — CVEs, typosquats and hallucinated "slopsquat" packages.

LAYER 2 · AGENTS

What AI runs

The new surface classic scanners ignore: AI chat and agent endpoints, prompt injection and system-prompt leakage, and unauthenticated MCP servers that hand any client your tools and data.

Illustrative — run a real one in a click

From a finding to a next action.

An example of what a scan returns. The numbers below are illustrative; run a live scan against our intentionally-vulnerable demo app to see real findings.

Example scan · vibe-coded appIllustrative data
CRITICAL
OpenAI API key exposed in frontend bundle
A live key in app.js — lift it from “view source”.
CRITICAL
Prompt injection succeeded
The AI assistant leaked its system prompt and a staff password.
HIGH
Unauthenticated MCP server
tools/list returned query_database, read_env, send_email — no auth.
MEDIUM
Vulnerable dependency: axios@0.21.0
25 known advisories reported by OSV.
Grade F · 0/100Run this scan live →
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Make your next AI release an informed decision.