Erzo scans AI-generated diffs for vulnerabilities, exposed secrets, and performance landmines — before they hit main.
Board-Ready Grade
Hardcoded Supabase Service Role Key
Prompt Injection Susceptibility (LLM)
Works with your favorite tools
Erzo provides full-stack coverage across every layer of the modern agentic software stack. Defend your posture with 100% visibility.
Detects hallucinations, insecure shortcuts, and hidden architectural flaws in AI-generated code snippets.
Automated verification of Row Level Security (RLS) policies and preventing unauthorized data horizontal traversal.
Entropy-based secret detection for Supabase, AWS, and Stripe keys accidentally commited by AI tools.
Flags prompt injection vectors and unvalidated LLM-facing endpoints in TypeScript and Python routes.
Monitors the software supply chain for 'AI-hallucinated' packages and malicious typosquatting attempts.
Detects exposed MLflow, Jupyter, and Ollama endpoints that lack secondary authentication layers.
Maps findings to the OWASP Top 10 and common AI risk categories for clear, actionable reporting.
Generates one-click context-aware PR fixes that maintain functional parity while closing security gaps.
Need a custom security assessment? Contact the Erzo Team →
Supabase keys, AWS tokens, GitHub PATs, and Stripe secrets accidentally exposed by AI.
Hallucinated packages, broken auth shortcuts, and unsafe RLS policies.
Checks against the live OSV CVE database in real-time.
Flags LLM-facing endpoints and unsanitized user inputs.
Detects open Ollama, Jupyter, and MLflow endpoints.
Takes 2 minutes. Read-only access.
Runs automatically on every PR or push.
Receive PR comments with the exact inline fix.
prompts tableWe noticed an AI agent added a new table without enabling Row Level Security. This exposes all prompts to any authenticated user.
Inline PR comments prevent AI hallucinations from reaching production.
45% of AI-generated code introduces known vulnerabilities. Here's what's actually happening — and how Erzo fixes each one.
AI drops credentials directly into code. Bots scan every public commit and can drain accounts overnight.
Erzo's Secret Detection module finds leaked keys, tokens, and credentials instantly.
AI-generated forms almost never validate input. Veracode found AI failed to protect against XSS 86% of the time.
Our Code Analysis module detects XSS, SQL injection, and 50+ vulnerability patterns.
Login forms work, but auth checks live in the browser where anyone can bypass them. Missing RLS means any user reads any data.
Erzo's RLS Policy Checker verifies your database security policies are correctly configured.
CORS wildcards, debug mode on, no rate limiting. The app works on localhost but is wide open in production.
Our Header & Config scanner flags open CORS, missing HTTPS, and insecure production settings.
AI picks packages from outdated training data — sometimes inventing packages that don't exist. Attackers register those names ("slopsquatting").
Dependency scanning finds vulnerable packages and recommends secure replacements.
AI coding agents are fast, but they grade their own homework. We audited 2,000+ AI-built apps and found consistent, platform-specific gaps.
"Your logic is perfectly written, but your environment variables are exposed to the world."
Lovable is incredible for speed, but the default 'Share' settings often expose sensitive environment variables. We found 10% of audited Lovable apps were leaking unrestricted production DB keys.
"You've deployed a Replit Agent that works perfectly, but left the dev-server endpoints accessible."
Replit Agents often spin up helpful debugger endpoints that aren't stripped in production. Our agents found critical SSRF and Auth Bypass patterns in 22% of agent-deployed Replit projects.
"Cursor wrote a beautiful auth middleware, but missed the one 'null' check that allows anyone to login."
Cursor's 'Composer' is a superpower, but it has a blind spot for 'Insecure Defaults.' We regularly catch Cursor-generated 'protected' routes that are actually public due to missing await keywords or hallucinated middleware.
"You generated a stunning dashboard, but your Supabase Service Role key is visible in the Inspect tool."
v0 excels at UI but often blends client and server logic in ways that expose 'secret' environment variables to the browser. We find exposed keys in 1 out of 3 v0-generated complex dashboards.
"Your Bolt project works in the preview, but it's wide open to CSRF attacks in production."
Bolt's automated environment setup often defaults to '*' for CORS to ensure the preview works, which is a critical security risk. Our scans catch these insecure defaults before you point your domain.
"Copilot suggested a perfectly valid S3 upload snippet, but used a legacy pattern that leaks IAM credentials."
Copilot was trained on millions of repos with bad habits. It frequently suggests insecure credential handling patterns (like hardcoded IAM users) that modern security teams flag as critical blockers.
Research based on CVE-2025-48757 and audits of 5,000+ public vibe-coded repositories.
Full Case StudyWatch a live scan from URL to security report.
Click to run a simulated scan
Traditional SAST isn't tuned for AI noise and patterns. Copilots generate code; they don't own security outcomes. Erzo sits between AI and your main branch.
| Aspect | Erzo | Generic SAST | AI Copilot |
|---|---|---|---|
| Detection Engine | Context-Aware "Vibe Debt" Scanner | Traditional Static Regex/Rulesets | Self-Reporting (Rarely flags own flaws) |
| AI Security (LLM) | Proactive Prompt Injection Probing | None to Basic String Checks | Blind to runtime AI-logic risks |
| Hallucinations | Detects fake/slop packages | Only known vulnerabilities (CVE) | Commonly introduces them |
| Remediation | One-click Patch & PR suggestions | Code examples for manual fix | Regenerates with same context |
| Neutrality | Independent (Reports to YOU) | Neutral | Vested interest in their own model |
| Governance | Board-Ready Compliance Score | Technical Dev-Only Lists | None |
Unlike AI-coding assistants that "grade their own homework," Erzo is an independent security layer. We accept zero funding from LLM providers or cloud hyperscalers to ensure your project receives a 100% unbiased security posture score.
ERZO is 100% customer-funded. We have zero vested interest in promoting any specific AI model or cloud platform.
Our detection signatures are built to find flaws regardless of which AI tool generated the code.
Code safety shouldn't require trading away your IP. Erzo is built on zero-trust principles for security-conscious engineering teams.
We request minimal OAuth scopes. Erzo only reads your PR diffs—we never clone your full repository or write code without explicit approval.
Scans run ephemerally in memory. We never store your source code anywhere. We only retain metadata and security findings to show in your dashboard.
Designed with strict data isolation. Our architecture is built on enterprise-grade principles to ensure maximum security for our customers.
Run a scan on your repo right now. Find out what secrets or vulnerabilities AI hallucinated into your codebase.
Scan a repo freeSee how Erzo fits into your CI/CD, review policy controls, and discuss enterprise deployment options.
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