Platform Security Guides

Platform-by-platform security guides for AI builders and no-code tools · what each platform secures for you, what it leaves exposed, and how to fix it.

CVE-2025-48757 Explained: How to Check If Your Lovable App Is Affected · CVE-2025-48757 is a critical authorization bypass affecting Lovable apps where Row-Level Security (RLS) is missing. Attackers can skip frontend logins to query database tables directly. To fix it, you must enable RLS on all Supabase tables and enforce server-side session validation using supabase.auth.getUser() instead of relying on client-side state.
How to Secure Your Lovable App: A Complete Guide · To secure your Lovable app, you must enable Row Level Security (RLS) on all Supabase tables and remove the service-role key from your frontend. SimplyScan's data shows 30% of AI-built apps have critical vulnerabilities. Use this guide to fix exposed keys, open storage, and auth bypasses.
Is Vibe Coding Safe? Security Risks of AI-Generated Code · Vibe coding is safe only with a security layer the AI doesn't provide. SimplyScan's scans of 177 AI-built apps show 33% carry a high or critical issue. AI often prioritizes functionality over safety, leading to exposed secrets and broken auth. Prompt for security explicitly and scan every app before launch.
Cursor App Security Checklist: 10 Things to Check Before You Ship · Before shipping a Cursor-built app, you must verify 10 critical security areas: eliminate hardcoded secrets, enforce RLS policies, implement server-side auth guards, validate all inputs, sanitize error messages, patch dependencies, configure security headers, restrict CORS origins, manage tokens in httpOnly cookies, and audit client-side logic for authorization bypasses.
Bolt.new Security Guide: 7 Vulnerabilities to Fix Before Launch · Bolt.new apps often ship with critical flaws like API keys bundled in client JavaScript and missing Supabase RLS policies. To secure your app, move secrets to server-side functions, scope RLS to auth.uid(), and enforce server-side authentication. SimplyScan finds these vulnerabilities in 30 seconds, helping you ship safely.
Windsurf Security Guide: Securing AI-Flow Generated Apps · Windsurf's AI-Flow generates functional code fast, but often misses critical safety defaults. SimplyScan found that 30% of AI-built apps have high-severity vulnerabilities. This guide details how to fix the 7 most common gaps—including exposed secrets, missing validation, and insecure CORS—to ensure your vibe-coded app is production-ready.
Replit Security Guide: Protecting Your Deployed Repl · Deployed Replit apps are public by default, exposing them to risks like leaked API keys, missing authentication, and rate-limiting failures. To secure your Repl, move secrets to the dedicated Secrets pane, implement server-side auth middleware, and use SimplyScan to audit your live URL for vulnerabilities in 30 seconds.
Security Guide for Bolt, Windsurf & Replit Apps · Bolt.new, Windsurf, and Replit apps share critical security flaws: hardcoded API keys, missing authentication, and over-privileged database access. To secure them, move secrets to server-side environment variables, implement auth providers like Supabase or Clerk, and enforce Row-Level Security (RLS) · then verify your site health with a free SimplyScan.
Security Guide for No-Code Apps: Bubble, WeWeb, FlutterFlow & Xano · No-code apps on Bubble, WeWeb, FlutterFlow, and Xano are only as secure as their configuration. Security features are opt-in, not automatic. You must enforce data access rules at the backend, keep API keys server-side, restrict CORS, and never rely on client-side visibility for data protection.
Base44 Security Guide: Critical Vulnerabilities and How to Protect Your App · To secure a Base44 application, you must manually configure the entity permissions panel for every database table and move all secret API keys to server-side environment variables. Implementing Row-Level Security (RLS) and server-side authorization guards is critical to prevent unauthorized data access and account takeovers in AI-generated apps.
v0 Security Guide: Is Vercel's AI Code Generator Secure? · v0 generates high-quality React and Next.js UI code, but it omits critical security layers like authentication, input validation, and secret management. To secure a v0 app, you must manually add auth guards, move hardcoded keys to environment variables, and validate all user inputs before deploying to production.
Bubble Security Guide: Privacy Rules, API Tokens, and Data Exposure · Bubble apps are not secure by default. Without privacy rules, your database is publicly accessible via the Data API. To secure your app, you must implement Row-Level Security, protect 32-character API tokens, and authenticate backend workflows. SimplyScan's free audit helps detect these risks in ~30 seconds.
FlutterFlow Security Guide: Firebase Rules, Auth, and Data Protection · FlutterFlow apps are secure only if you manually configure Firebase Security Rules, restrict API keys, and enable App Check. By default, these apps often ship with permissive rules that expose your entire database. You must replace 'allow-all' logic with ownership checks and move sensitive API logic to Cloud Functions to prevent data breaches.
WeWeb Security Guide: XSS, API Protection, and Frontend Risks · WeWeb requires unsafe-eval and unsafe-inline in its Content Security Policy, making XSS a higher risk than in traditional frameworks. Secure your app by proxying API calls through a backend like Xano or Supabase, keeping secret keys out of Collections, and enforcing all data filtering on the server side.
Xano Security Guide: API Authentication, RBAC, and Backend Protection · Xano provides enterprise-grade security like AES-256 and SOC 2, but it is not secure by default. You must manually enable JWT authentication, use auth.id to prevent IDOR attacks, and restrict CORS to your domain. This guide covers the essential checklist to move from vibe-coding to production-ready security.
Raydian Security Guide: AI-Generated App Risks and Best Practices · Raydian apps are safe for production only after manual hardening and automated scanning to fix common AI-generated vulnerabilities like missing server-side validation, exposed API keys, and broken access control. While Raydian accelerates development, AI-generated code is statistically 2.74x more likely to contain security flaws than human-written code.
Is Lovable Safe? Security Risks You Should Know in 2026 · Lovable is safe as a platform, but the apps it generates often have critical gaps in Row-Level Security (RLS) and API key management. SimplyScan's data shows 30% of AI-built apps have high-severity risks. To stay safe, you must enable RLS on every table and move secrets to server-side functions.
Is Cursor Safe? What Developers Need to Know in 2026 · Cursor is safe as an editor, but the code it generates often isn't. SimplyScan's data shows 33% of AI-built apps contain high or critical severity security flaws. This guide explores why Cursor's Composer and Index features can accidentally leak secrets and how to configure .cursorrules to harden your AI-generated code.
Is Bolt.new Safe? Security Analysis for 2026 · Bolt.new is safe to use, but its generated apps ship as prototypes: expect API keys in frontend code, database tables without row-level security, missing server-side validation, and absent security headers. Fix those four before handling real user data · a 15 to 30 minute post-generation checklist covers the most damaging gaps.
Is Replit Safe? Security Risks for Deployed Apps in 2026 · Replit is safe as a platform, but apps built with Replit Agent often suffer from hardcoded secrets, missing authorization, and public source code exposure. To secure your app in 2026, use the Secrets panel, upgrade to a private plan, and scan your deployment with SimplyScan to find hidden vulnerabilities.
Is Windsurf Safe? Security Risks of AI-Flow Coding in 2026 · Windsurf is a safe, local-first IDE, but the code it generates often lacks production-grade security. Risks include missing authorization (RBAC), insecure CORS defaults, and stale dependencies. To stay safe, review every git diff, add explicit authorization checks, and scan your deployed app for exposed secrets and vulnerabilities.
React Security Checklist: 10 Vulnerabilities to Fix Before Launch · React apps are client-side, making every secret and route guard visible to users. To secure your app before launch, you must move API keys to the server, sanitize HTML with DOMPurify, validate user-provided URLs, and enforce backend authentication for every sensitive request rather than relying on frontend logic.
Next.js Security Guide: Securing Your AI-Generated Application · Secure a Next.js app by shaping server component data to prevent serialization leaks, enforcing authentication in every API route and Server Action, and strictly separating secrets from NEXT_PUBLIC_ environment variables. Implement a robust Content Security Policy (CSP) and security headers via middleware to mitigate XSS and injection risks.
Bolt.new vs Lovable vs Cursor: Which Produces the Most Secure Code? · Lovable produces the most secure code out of the box by generating RLS policies and auth flows by default. Cursor is safest for experts who can prompt for specific security requirements, while Bolt.new requires the most hardening. SimplyScan found 33% of AI-built apps contain high or critical severity vulnerabilities.
60 Free Security & Developer Tools Every Vibe Coder Should Bookmark · Sixty free, no-signup tools cover the security and visibility gaps AI app generators leave behind. These include live checks for SSL, security headers, and exposed .env files, plus browser-local utilities like JWT debuggers and secret scanners. Run these checks after every deploy to ensure your vibe-coded app is production-ready.
Is v0.dev Safe? What Vercel's AI Builder Does and Doesn't Secure · v0.dev is safe as a platform, but the React and Next.js code it generates often contains XSS vectors, leaked client-side secrets, and missing security headers. Treat AI-generated components as drafts: audit the client-server boundary, sanitize HTML inputs, and implement a Content Security Policy before going live.
Is Base44 Safe? A Security Review of the AI App Builder · Yes, Base44 is safe to build on · its infrastructure is professionally managed by Wix. However, your app's safety depends on your configuration. Real risks include over-permissive entity access rules, full-record API responses that leak private fields, and API keys hardcoded in the frontend. These are fixable with a proper audit.
Is Bubble Safe? What Privacy Rules Actually Protect · and What They Don't · Yes, Bubble is safe · it is a SOC 2 compliant platform with professional infrastructure. However, security is opt-in. Without manually configured Privacy Rules, your Data API and client-side searches can expose your entire database. You must also mark API Connector keys as private to prevent them from leaking in browser traffic.
Is FlutterFlow Safe? Your Firebase Rules Are the Real Attack Surface · Yes, FlutterFlow is safe · the builder and platform are not the weak point. Your Firebase security rules are: a FlutterFlow app is exactly as secure as the rules on its Firestore database and storage buckets, and the most common failure is shipping test-mode rules that let anyone read and write everything.
Windsurf vs Cursor: Which AI IDE Writes More Secure Code? · Neither Windsurf nor Cursor is inherently more secure; both use the same frontier models (Claude, GPT-4) and generate similar vulnerabilities. The difference is workflow: Windsurf's agentic Cascade encourages large, hard-to-review diffs, while Cursor's completions lead to many small, unreviewed edits. Security depends on your review gate and post-deploy scanning.
Vibe Coding Guardrails · How to Let AI Write Code Without Getting Burned · Vibe coding guardrails are essential rules—like forbidding hardcoded API keys and mandating Row-Level Security—that prevent AI builders from shipping vulnerable code. By combining standing instructions, targeted security prompts, and automated scans, you can build at AI speed without sacrificing security or exposing sensitive user data.
Windsurf Security Risks: How to Secure Your AI-Flow Codebase · Windsurf security risks include hardcoded secrets, insecure AI-generated code patterns, and unauthorized terminal executions. While Windsurf is a powerful agentic IDE, it requires strict human oversight, environment variable management, and automated security scanning to prevent vulnerabilities like XSS, SQL injection, and data leaks in AI-built applications.
The Ultimate Vibe Coding Security Checklist: Ship AI Apps Safely · A vibe coding security checklist ensures AI-generated apps are safe for production. Key steps include auditing for exposed API keys, verifying Supabase RLS policies, and validating security headers. Using automated tools like SimplyScan allows developers to maintain the speed of vibe coding without compromising on essential security best practices.
Hapi.js Injection Prevention: Secure Your Backend Against Attacks · To prevent injection in Hapi.js, you must use Joi for strict input validation and employ parameterized queries for database interactions. By enforcing schemas on payloads and query parameters, Hapi.js blocks malicious data before it reaches your logic, effectively mitigating SQL, NoSQL, and command injection risks in Node.js backends.
Firebase Rules for AI Apps: A Security Guide for LLM Architectures · Firebase rules for AI apps must prioritize data ownership and input validation to prevent prompt injection and unauthorized access. Use strict UID checks, limit string lengths for AI-generated content, and enforce immutability for chat histories. Always move beyond default 'Test Mode' rules to protect sensitive LLM context and user data.
Lovable Login Issues? How to Fix Auth Errors and Secure Your Lovable App · Fix Lovable login errors by verifying Supabase redirect URIs, checking Row Level Security (RLS) policies, and ensuring environment variables are correctly set. Most auth issues in AI-built apps stem from misconfigured redirect URLs or missing database permissions that prevent session persistence and user data access.
The Ultimate Cursor Settings Guide for Secure Vibe Coding · To secure Cursor AI, disable data sharing in settings, scope MCP server permissions, and use a .cursorrules file to enforce Row Level Security (RLS) and input validation. SimplyScan found that 30% of AI-built apps have high-severity issues; proper configuration and automated scanning are essential to prevent exposed API keys.
Vibe Securing: Why 30% of AI-Built Apps Have Critical Vulnerabilities · Vibe securing implements automated guardrails for AI-generated apps. SimplyScan's data from 170 scans reveals 30% of vibe-coded apps have high/critical vulnerabilities. To ship safely, developers must use independent scanning, verify Row Level Security (RLS), and use MCP servers to catch vulnerabilities like exposed keys and broken access control in real-time.
Managing Your Cursor Library: How to Index Code Without Leaking Secrets · Manage your Cursor library by enabling Privacy Mode and using a .cursorignore file to exclude sensitive data. While indexing improves AI context, it can leak secrets if hardcoded keys are included. Use SimplyScan to detect exposed credentials before they are indexed into the LLM context window.
Lovable.dev Security & Performance: How to Fix the Top 3 AI App Flaws · Lovable.dev is production-ready if you manually configure Supabase Row Level Security (RLS) and optimize database indexes. SimplyScan's data shows 71% of AI-built apps have speed issues and 30% have high-severity security flaws. To secure your app, enable RLS, move secrets to environment variables, and use Edge Functions for sensitive logic.
Prompt Engineering for Security: How to Make AI Website Builders Write Safer Code · Secure your AI website builder projects by using prompt engineering to enforce Row Level Security, strict security headers, and environment variable safety. SimplyScan's data shows 30% of AI-built apps have high-severity issues; proactive prompting and regular scanning are essential to protect your data and maintain high performance in 2026.
Is Your Lovable Website Builder App Slow? How to Optimize Performance · Lovable apps often face speed issues due to unoptimized assets and heavy JavaScript bundles. SimplyScan data shows 71% of AI-built apps have speed issues. To optimize, you must refine prompts to minimize dependencies, implement React lazy loading, add Supabase database indexes, and compress images to improve Core Web Vitals and user retention.
React Security Best Practices for AI-Built Apps: Fixing Common Vibe-Coding Vulnerabilities · React security best practices in 2026 focus on preventing API key exposure and XSS in AI-generated code. Never store secret keys in client-side environment variables. Instead, use Next.js Server Components or proxy routes. Always enable Row Level Security (RLS) and sanitize dynamic HTML to protect against common vibe-coding vulnerabilities.
SimplyScan vs SonarQube · Do You Need a Full Code Platform? · SonarQube is a deep code-governance platform for enterprise teams, while SimplyScan is a 30-second health scanner for AI-built apps. If you need to enforce strict coding standards across a large team, choose SonarQube. If you want to find exposed secrets and security flaws on a live site instantly, SimplyScan is the better alternative.
SimplyScan vs Mozilla Observatory · Headers Only vs Whole-App Health · Mozilla Observatory is a specialized tool for grading HTTP security headers. For a more comprehensive Mozilla Observatory alternative, SimplyScan audits 8 dimensions—including security, speed, SEO, and Supabase RLS—in 30 seconds. While Observatory focuses on server configuration, SimplyScan detects modern risks like exposed API keys and AI-visibility issues.
How to Find Exposed API Keys in a Lovable App · To find exposed API keys in a Lovable app, inspect the browser's Network and Sources tabs for hardcoded strings like "sk-" or "AIza". AI-generated apps often leak secrets by making direct frontend calls to services like OpenAI or Stripe. Use SimplyScan to automatically detect these leaks and rotate compromised keys immediately.
Supabase RLS Explained · Why Missing Row-Level Security Leaks Your Data · Missing Supabase Row-Level Security (RLS) allows anyone with your public anon key to read, modify, or delete your entire database. To fix this, you must enable RLS on every table and define specific policies using auth.uid() to ensure users can only access their own data.
The Best Free Security Scanners for Lovable and AI-Built Apps in 2026 · The best free security scanner for AI-built apps in 2026 is SimplyScan, which detects specific risks like exposed Supabase keys and broken RLS. For HTTP headers, Mozilla Observatory remains the top choice, while Snyk is best for dependency vulnerabilities. A combination of these tools ensures comprehensive protection for vibe-coded applications.
Replit Security Guide: How to Secure Your Deployed AI Apps · Secure your Replit apps by using the Secrets tab for environment variables, implementing robust security headers, and configuring proper CORS policies. SimplyScan's research shows 46% of AI-built apps have architecture issues; use a specialized scanner to detect exposed keys and broken auth in your Repl before deploying to production.
A Security Headers Checklist for AI-Built Apps · A security headers checklist for 2026 must include Content-Security-Policy (CSP), HSTS with preloading, X-Content-Type-Options, X-Frame-Options, and Referrer-Policy. These headers prevent XSS, clickjacking, and data leaks. SimplyScan's data shows 33% of AI-built apps have high-severity issues, often due to missing these essential browser-level protections.
SimplyScan vs Detectify · Instant Scan vs Attack Surface Management · SimplyScan provides instant, 30-second health audits for AI-built apps, focusing on security, speed, and AI visibility. Detectify is an enterprise-grade attack surface management tool for mapping large corporate infrastructures. For startups using AI agents, SimplyScan is the faster, more affordable choice for catching platform-specific risks like exposed API keys.
Cursor vs. Bolt.new: Which AI Tool Produces More Secure Code? · Cursor and Bolt.new are safe to install, but the code they generate often contains critical vulnerabilities. SimplyScan's data shows 33% of AI-built apps have high-severity security issues. While Cursor offers local control and Bolt provides a sandboxed browser environment, both require manual auditing for exposed API keys and broken access control.
How to Securely Use Console.Groq Keys in Your AI Application · Secure your console.groq keys by using environment variables instead of hardcoding them. Groq API keys (prefixed with gsk_) grant full access to your LPU inference limits. To prevent unauthorized access and billing spikes, always proxy requests through a backend and use a secret scanner to detect leaks in AI-generated code.
The Vibe Coding Security Audit Checklist: Shipping Fast Without Leaking Data · Vibe coding is an AI-driven development method where software is built by describing intent in natural language. While it enables rapid shipping, SimplyScan's data shows 33% of these apps contain high-severity security flaws. A proper audit requires scanning for exposed API keys, verifying database RLS, and checking security headers.
SimplyScan vs Qualys · The Lightweight Alternative for AI Apps · SimplyScan is a lightweight Qualys alternative designed for AI-built apps. While Qualys focuses on enterprise infrastructure, SimplyScan provides a no-signup, 30-second audit of security, speed, SEO, and AI visibility. It specifically detects risks common in vibe-coded apps, such as exposed API keys and misconfigured Supabase RLS policies.
How to Secure Your OpenAI API Key in AI-Built Applications · An open ai api key is a sensitive credential that must never be exposed in frontend code. To secure it, use environment variables, proxy requests through a backend, and set hard billing limits in the OpenAI dashboard. Use SimplyScan to detect leaked keys in your public app bundles in seconds.
How to Use the SimplyScan MCP Server for Cursor and Windsurf · The SimplyScan MCP server allows AI agents in Cursor and Windsurf to perform real-time security, speed, and SEO audits. By installing the server via npx, developers can automate the detection of exposed API keys, broken RLS policies, and performance bottlenecks directly within their AI-driven development workflow.
SimplyScan vs Burp Suite · One-Click Audit vs Manual Proxy Testing · SimplyScan provides a one-click, 30-second security audit for AI-built apps, whereas Burp Suite is a manual proxy toolkit for professional penetration testers. SimplyScan automates the detection of BaaS-specific risks like Supabase RLS leaks and exposed AI keys, making it the faster alternative for developers using tools like Lovable, Bolt, and Cursor.
How to Display a Verified Security Badge on Your AI App · A website security badge is a visual seal that verifies an application has passed specific security audits. For AI-built apps, these badges build trust by confirming the absence of exposed API keys, broken authentication, and database vulnerabilities. SimplyScan provides a dynamic badge that links to real-time health reports across eight dimensions.
Automated Security Monitoring for Vibe-Coded Applications · Uptime monitoring for AI apps must go beyond simple status checks to include automated security and performance validation. With 33% of AI-built apps containing high-severity security flaws, monitoring must track Supabase RLS regressions, exposed API keys, and performance spikes to ensure autonomous code updates do not compromise user data.
GDPR and Compliance Signals · What SimplyScan Checks Beyond Code · A GDPR compliance scan for AI-built apps audits public-facing signals like privacy policy links, SSL health, and security headers. While tools like Semgrep find code bugs, SimplyScan detects the compliance gaps and exposed secrets common in vibe-coded projects, ensuring your rapid deployment meets regulatory and security standards in seconds.
Database Design Patterns for AI Apps: Fixing the 46% Architecture Gap · Database design patterns for AI apps must address the 46% architecture gap found in vibe-coded projects. By implementing multi-tenant isolation via Row-Level Security (RLS), normalizing flat LLM-generated tables, and using UUIDs for primary keys, developers can fix the performance and security issues that plague 70% of AI-built applications.
GDPR and Compliance Signals · How to Audit Your App for Privacy Risks · GDPR compliance for AI apps in 2026 requires implementing technical measures like security headers, Row Level Security (RLS), and honoring Global Privacy Control (GPC) signals. Beyond privacy policies, regulators look for compliance signals like encrypted data transit and protected API keys to ensure apps meet EU AI Act and GDPR standards.
How to Secure Your Groq API Key: Fixing the #1 Leak in AI-Built Apps · To get a Groq API key, sign in to console.groq.com and generate a new secret in the API Keys section. To secure it, never use the key in frontend React code; instead, proxy requests through a backend or serverless function to prevent unauthorized access and billing exhaustion.
What is Prompt Engineering for Security? Writing Safer Prompts for AI App Builders · Prompt engineering is the process of crafting specific instructions to guide AI models toward high quality, secure outputs. For app builders, it involves defining security constraints—like RLS policies and input sanitization—within the prompt to ensure AI-generated code is resilient against vulnerabilities like exposed API keys or XSS.
Modern Security Audit Procedures for Vibe-Coded Applications · Modern security audit procedures for AI-built apps prioritize automated, continuous validation over manual checks. By integrating tools like SimplyScan into the vibe-coding workflow, developers can detect critical risks like exposed API keys, missing Supabase RLS, and broken authentication in seconds, ensuring that rapid AI development does not compromise integrity.
API Scanning for Vibe-Coded Apps: How to Detect Hidden Backend Flaws · API scanning is the automated process of identifying security vulnerabilities in your application's backend endpoints. For vibe-coded apps, it is essential for detecting the architecture flaws found in 46% of AI-built projects. Using tools like SimplyScan, developers can quickly find exposed API keys, broken authentication, and missing security headers.

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