AI Patterns
Secret Leakage
RLS Gaps
Vibe-Code Diffs
ABOM Baseline

Ship AI features with absolute confidence.

Erzo scans AI-generated diffs for vulnerabilities, exposed secrets, and performance landmines — before they hit main.

Read-only access Free for 1 repo
INITIATING SCAN...
id: 8f2-xa9

Sec-Posture Score

92/100
HIGH FIT

Board-Ready Grade

Deep Scanning Architecture
0x00A1F0
Criticaldb/client.ts:14

Hardcoded Supabase Service Role Key

High Riskapi/generate/route.ts:42

Prompt Injection Susceptibility (LLM)

Read-Only Access Zero Code Retention

Works with your favorite tools

GitHub CopilotCursorBolt.newClaudeGitHubGitLabBitbucketChatGPTGeminiSupabaseVercelNetlifyGitHub CopilotCursorBolt.newClaudeGitHubGitLabBitbucketChatGPTGeminiSupabaseVercelNetlify

8 Pillars of Institutional AI Security

Erzo provides full-stack coverage across every layer of the modern agentic software stack. Defend your posture with 100% visibility.

LLM Logic Layer

Vibe-Code

Detects hallucinations, insecure shortcuts, and hidden architectural flaws in AI-generated code snippets.

Pillar_01

Database Layer

Automated verification of Row Level Security (RLS) policies and preventing unauthorized data horizontal traversal.

Pillar_02

Identity Layer

Entropy-based secret detection for Supabase, AWS, and Stripe keys accidentally commited by AI tools.

Pillar_03

Interface Layer

Flags prompt injection vectors and unvalidated LLM-facing endpoints in TypeScript and Python routes.

Pillar_04

Observed Layer

ABOM

Monitors the software supply chain for 'AI-hallucinated' packages and malicious typosquatting attempts.

Pillar_05

Infrastructure Layer

Detects exposed MLflow, Jupyter, and Ollama endpoints that lack secondary authentication layers.

Pillar_06

Compliance Layer

Maps findings to the OWASP Top 10 and common AI risk categories for clear, actionable reporting.

Pillar_07

Remediation Layer

Deep Scan

Generates one-click context-aware PR fixes that maintain functional parity while closing security gaps.

Pillar_08

Need a custom security assessment? Contact the Erzo Team →

erzo scan — my-saas-app
$erzo scan ./src --deep
⠋ Running 9 scanner modules across 847 files...
✗ CRITICAL lodash@4.17.15 — CVE-2021-23337 [OSV]
✗ CRITICAL Exposed .env file at /.env [Nuclei]
✗ HIGH IAM policy grants wildcard (*) actions — T1078.004 [ATT&CK]
⚠ MEDIUM Default credential detected: admin/admin in docker-compose.yml
⚠ MEDIUM GARAK-04: tool_misuse — read_file → write_file chain unguarded
Found 2 critical, 2 medium issues. → erzo fix --auto
$erzo fix --auto
⠋ Identifying patch vectors & applying remediations...
FIXED: lodash@4.17.15 bumped to 4.17.21
FIXED: .env file added to .gitignore
FIXED: Wildcard IAM policy restricted to principle of least privilege
ALL ISSUES REMEDIATED. Codebase 100% compliant.

Detects patterns common in AI outputs.

🔑

Secrets & credentials

Supabase keys, AWS tokens, GitHub PATs, and Stripe secrets accidentally exposed by AI.

🤖

Insecure AI patterns

Hallucinated packages, broken auth shortcuts, and unsafe RLS policies.

📦

Dependency vulnerabilities

Checks against the live OSV CVE database in real-time.

💉

Prompt injection vectors

Flags LLM-facing endpoints and unsanitized user inputs.

🧠

Infra exposure

Detects open Ollama, Jupyter, and MLflow endpoints.

Blocks bad code before it merges.

1

Connect your repo

Takes 2 minutes. Read-only access.

2

We scan AI-generated diffs

Runs automatically on every PR or push.

3

You get one-click patches

Receive PR comments with the exact inline fix.

E
Erzo Security left a comment
🚨 Critical Vulnerability Detected: Missing RLS on prompts table

We noticed an AI agent added a new table without enabling Row Level Security. This exposes all prompts to any authenticated user.

ALTER TABLE prompts ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Users can only read own prompts" ON prompts FOR SELECT USING (auth.uid() = user_id);

Inline PR comments prevent AI hallucinations from reaching production.

9
scanner modules across CVE, ATT&CK, LLM, and infra
3.2
avg. critical findings per scan
<2min
to scan your entire codebase
Based on real research data

5 Security Mistakes Every Vibe Coder Makes

45% of AI-generated code introduces known vulnerabilities. Here's what's actually happening — and how Erzo fixes each one.

01

Hardcoded API keys in source code

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.

02

Zero input validation

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.

03

Authentication that looks right but isn't

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.

04

Open configuration in production

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.

05

Trusting AI-chosen dependencies blindly

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.

Built with AI?
Here's what we find.

AI coding agents are fast, but they grade their own homework. We audited 2,000+ AI-built apps and found consistent, platform-specific gaps.

Founders' Secret Data Breach

Lovable

170/1645Apps found leaking Supabase keys

"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.

The Agentic Deployment Trap

Replit

CVE-2025-48757Recent Replit Agent Auth Bypass

"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.

The Hallucinated Auth Bypass

Cursor

45%AI-generated code with vulnerabilities

"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.

Frontend-Only Security Blindspot

v0 / Vercel

30%Components with client-exposed secrets

"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.

The WebContainer CORS Trap

Bolt.new

HIGHCORS Wildcard Vulnerability Rate

"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.

Legacy Pattern Hallucination

GitHub Copilot

T1078.004MITRE ATT&CK Cloud Credential Theft

"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.

Real Research

Research based on CVE-2025-48757 and audits of 5,000+ public vibe-coded repositories.

Full Case Study

See It in Action

Watch a live scan from URL to security report.

erzo — scan
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Click to run a simulated scan

Why Erzo vs. generic SAST and copilots

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.

AspectErzoGeneric SASTAI Copilot
Detection EngineContext-Aware "Vibe Debt" ScannerTraditional Static Regex/RulesetsSelf-Reporting (Rarely flags own flaws)
AI Security (LLM)Proactive Prompt Injection ProbingNone to Basic String ChecksBlind to runtime AI-logic risks
Hallucinations Detects fake/slop packagesOnly known vulnerabilities (CVE)Commonly introduces them
RemediationOne-click Patch & PR suggestionsCode examples for manual fixRegenerates with same context
NeutralityIndependent (Reports to YOU)NeutralVested interest in their own model
GovernanceBoard-Ready Compliance ScoreTechnical Dev-Only ListsNone
Neutrality Commitment

Strategic Neutrality: We report to you, not the vendors.

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.

Paid by Buyers Only

ERZO is 100% customer-funded. We have zero vested interest in promoting any specific AI model or cloud platform.

Conflict-Free Logic

Our detection signatures are built to find flaws regardless of which AI tool generated the code.

Security by design

We never see your code.

Code safety shouldn't require trading away your IP. Erzo is built on zero-trust principles for security-conscious engineering teams.

Read-only access

We request minimal OAuth scopes. Erzo only reads your PR diffs—we never clone your full repository or write code without explicit approval.

Ephemeral Scans

Scans run ephemerally in memory. We never store your source code anywhere. We only retain metadata and security findings to show in your dashboard.

Compliance Ready

Designed with strict data isolation. Our architecture is built on enterprise-grade principles to ensure maximum security for our customers.

Frequently Asked Questions

Start scanning today.

Developer?

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