Database & API Security

Everything backend · Supabase Row-Level Security, Firebase rules, MongoDB hardening, and API authentication patterns that keep your data private.

  • Supabase Security Checklist: Protect Your Database in Production · Supabase is not secure by default because the anon key is public; you must enable Row Level Security (RLS) on every table to prevent unauthorized access. To protect production apps, keep the service_role key server-side, enforce email confirmation, enable leaked-password protection, and restrict Edge Function CORS to your domain.
  • Row Level Security (RLS) Policies Explained for Beginners · Row-Level Security (RLS) is a PostgreSQL feature that makes the database itself enforce which rows each user can read or modify. In modern AI-built apps (Lovable, Cursor, Windsurf), the frontend often talks directly to the database, making RLS the primary defense against data leaks and unauthorized access.
  • Architecture Security Risks: Exposed Database Strings, Missing Rate Limiting & More · Architecture security risks are structural flaws like exposed database strings or missing rate limits that no code-level patch can fix. In SimplyScan's research of 170 AI-built apps, 48% suffered from architecture issues. Learn how to secure your data flows, implement server-side authorization, and configure essential security headers.
  • 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.
  • 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.
  • Firebase Security Checklist: Protect Your AI-Built App · To secure a Firebase app before launch, you must replace "test mode" rules with granular production rules, restrict API keys by HTTP referrer in the Google Cloud Console, and enable Firebase App Check to block unauthorized clients. Transitioning from AI-generated "Test Mode" requires moving beyond the 30-day expiry window.
  • MongoDB Security Guide: Protect Your NoSQL Database · Secure MongoDB by fixing the failures AI-generated code repeats: authentication disabled in Docker configs, the database bound to 0.0.0.0, NoSQL injection through $gt operators in login queries, connection strings committed to git, and apps running as root. Enable auth, bind to localhost or use Atlas, cast inputs to strings, and validate every write.
  • API Security Best Practices for AI-Built Applications · Every API endpoint is a public attack surface. Secure AI-built backends by enforcing authentication on all sensitive routes, using schema-based input validation (Zod), applying object-level authorization (BOLA/IDOR) checks, and locking down CORS. SimplyScan's research shows 30% of AI-built apps ship with high-severity security issues that these practices mitigate.
  • JWT Security: How to Read a Token and Catch the Red Flags · No, a JWT is not encrypted; it is signed. Anyone holding a token can decode the payload in seconds. Security depends on server-side verification: you must reject alg: none, pin your algorithm, check the exp claim, use strong secrets, and store tokens in httpOnly cookies to prevent theft.
  • CORS Misconfigurations That Leak User Data (and How to Test For Them) · A CORS misconfiguration that reflects any request origin while allowing credentials lets malicious sites read your users' private API data. AI generators often create these permissive defaults to silence errors. To stay secure, use a hard-coded origin allow-list and test your API server-side with crafted Origin headers.
  • 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.
  • Is It Safe to Expose Your Supabase Anon Key? Yes · With One Condition · Yes, exposing your Supabase anon key is safe because it is designed to be public. However, this is only true if Row Level Security (RLS) is enabled on every table. Without RLS, the anon key allows anyone to read your entire database. Never expose the service_role key.
  • Webhook Signature Verification: Stop Trusting Unsigned Payloads · Verify every webhook by computing the HMAC-SHA256 of the raw request body using your shared secret and comparing it to the provider's signature header with a timing-safe function. Add a five-minute timestamp tolerance and event-ID deduplication to prevent replay attacks. Without this, anyone can forge events to your endpoint.
  • AI API Security · Protecting LLM-Powered Apps, Keys, and Endpoints · AI API security involves protecting LLM keys (OpenAI, Anthropic) and hardening the endpoints you build. To secure your app, keep keys server-side in a proxy, implement per-user rate limits to prevent "denial of wallet" attacks, and sanitize all model outputs to block XSS and prompt injection.
  • How to Scan Your Database for Security Risks: Supabase, Firebase, and Xano · A database scanner identifies misconfigurations, exposed API keys, and weak access controls in backends like Supabase, Firebase, and Xano. By automating checks for Row Level Security (RLS) and leaked service secrets, developers can secure their data against unauthorized access and protect AI-built applications from critical vulnerabilities.
  • 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.
  • 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.
  • 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.
  • 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.

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