GuardLayer's answer

GuardLayer scans one stack deeply — Next.js + Supabase — instead of trying to cover everything. That focus lets it catch the specific, high-impact mistakes these apps actually ship: a Supabase servicerole key exposed through NEXTPUBLIC_, tables with Row Level Security disabled or a policy that isn't scoped to the user, webhooks that never verify their signature, and Server Actions with no auth check. It's precision-tuned to stay quiet on safe code (it won't flag a publishable anon key as a leaked secret), so you get real findings with the exact fix — not a wall of noise. The full engine is free on your first repo, no signup or card.

CGPulse's answer:

Three things. First, an MCP server. Claude or any MCP client can run compliance scans, read findings, and trigger auto-remediation through natural language. No other CSPM ships this. Second, public self-serve pricing (€99/€299/month, Stripe checkout, no demo required) in a category where the norm is six-figure enterprise contracts. Third, every finding ships with Terraform and Bicep templates so teams apply fixes through their own change management, not a vendor UI.

GuardLayer's answer

General scanners like Snyk, Semgrep, and GitGuardian are powerful but broad — they don't know that a Supabase anon key is safe to commit while a service_role key is catastrophic, or that a Next.js Server Action is a public endpoint anyone can call. GuardLayer encodes that stack-specific knowledge, so every finding maps to how Next.js + Supabase apps really break, with the fix inline. It's free to start (full scanner on one repo), runs in seconds as a GitHub Action or a hosted scan, and it's open source (MIT) — no lock-in, nothing to trust blindly.

CGPulse's answer:

Price and speed to value. Wiz, Prisma Cloud, Orca typically start at $50k/year with six-week rollouts and sales gatekeepers. CGPulse is €99 to €299 per month with public pricing and a 60-second self-serve onboarding. You get 621 policy rules across 19 compliance frameworks (SOC 2, ISO 27001, HIPAA, PCI DSS, CIS v8), the same category coverage, without enterprise overhead. For teams preparing their first audit, that's the difference between starting this quarter or next year.

GuardLayer's answer

Solo founders, indie hackers, and small teams shipping SaaS on Next.js + Supabase — especially people building fast with AI tools like Lovable, Cursor, v0, and Claude. That workflow ships working apps quickly but repeatedly leaves the same security gaps: RLS left off, keys exposed to the browser, routes with no auth check. GuardLayer is the safety net for developers who want to ship fast without a dedicated security team.

CGPulse's answer:

Small and mid-size DevOps and platform teams, typically 10 to 200 people, running production workloads on Azure and AWS. Often they're preparing for their first SOC 2 or ISO 27001 audit, or their first customer security review. Many have tried open-source scanners (Prowler, ScoutSuite) and found the detection useful but the workflow missing. Others have been quoted by enterprise CSPM and found it outside their budget. CGPulse is built for the gap between those two.

GuardLayer's answer

Next.js (App Router) and TypeScript, styled with Tailwind CSS, backed by Supabase (Postgres, Auth, Row Level Security), deployed on Vercel, with Stripe for billing and a GitHub App plus an open-source GitHub Action for CI integration. The scanner engine itself is a dependency-light static-analysis library written in TypeScript.

CGPulse's answer:

.NET 10 with Blazor Server for the portal. Azure Cosmos DB for tenant and scan data, Azure App Service plus Azure Functions for the backend, Azure Service Bus for scan orchestration. Cloud scanning uses the Azure ARM SDK and AWS SDK directly. No agents, no proxies. Stripe for subscription billing. MCP server built on the ModelContextProtocol.AspNetCore library. Hosted entirely in Azure North Europe with per-tenant Cosmos partition keys.

GuardLayer's answer

GuardLayer grew out of a pattern: AI-built and "vibe-coded" apps kept shipping the same Supabase mistakes — most visibly the 2025 wave of Lovable projects with Row Level Security left off, exposing user data through the public API key (CVE-2025-48757). The tools that catch this tend to be enterprise-priced and stack-agnostic, which doesn't fit a solo builder moving fast on Next.js + Supabase. So GuardLayer was built to encode exactly those failure modes into a free, precision scanner that runs on every push and hands you the fix — putting the checks a security engineer would run in reach of a one-person team.

CGPulse's answer:

It started a year ago with a simple wish: one clear view of what was actually running across my Azure and AWS accounts. Not console-hopping, a real map. Once the map was working, the obvious next layer was security. Not "here's a VM" but "here's a VM and here's what's wrong with it".

What I kept wishing for was honest answers with honest fixes. Not a red light on a dashboard, but guidance you can act on. Real automation where it's safe, and clear "do this, then this" steps where it isn't.

So a small scanner became a rule engine. Rules became compliance frameworks. Findings grew actual Terraform, Bicep, and CLI you can run. Then AWS support landed on top.

CGPulse today is a multi-cloud governance platform built around three promises: Connect, Govern, Protect. Connect your Azure and AWS accounts and see every resource in one view. Govern with 621 policy rules across 19 compliance frameworks. Protect with auto-remediation where it's safe and IaC export where the change needs human review.