Blog

The modern development security workflow. Pre-commit hooks, CI scanning, staging pentests, and quick wins that take 30 minutes.

A head-to-head comparison of automated and manual penetration testing. Coverage, cost, speed, depth, and when to use each approach.

A case study: we scanned a Lovable + Supabase app and found 23 exploitable vulnerabilities in 45 minutes. Here is exactly what we found.

Free tools, smart prioritization, and when to invest in professional testing. Practical security guidance for teams with limited resources.

A practical guide to penetration testing your own web application. Methodology, tools, and when to go beyond manual testing.

The no-code market is $21.2B, but security lags far behind. Only 12.6% rate vibe coding as secure. Real breach examples and how to protect yourself.

The 10 security checks every MVP needs before launch. Budget 20-30% of dev time for security, or budget for a breach response later.

Row Level Security is the most critical security feature in Supabase, and AI coding tools almost always get it wrong. Here is how to fix it.

Stanford, Veracode, and CodeRabbit all agree: AI-generated code has significantly more vulnerabilities. We dig into why and what to do about it.

Over 170 Lovable apps exposed, 18,000 users' data leaked. We break down the root cause and what you should check in your Lovable app right now.

A straightforward explanation of vibe coding: what it is, where it came from, who should use it, and the honest pros and cons.

Practical project ideas with tool recommendations and time estimates. From SaaS dashboards to habit trackers, all buildable in a weekend.

We built the same app on all three platforms to compare speed, code quality, complexity handling, and security. Here is what we found.

What vibe coding actually is, where the term came from, and how to start building apps by describing what you want in plain English.

A step-by-step guide to going from idea to deployed MVP using Bolt, Lovable, Replit, and Cursor — no programming experience required.

Security testing requirements differ across SOC 2, ISO 27001, and NIS2. We map each framework to specific testing activities.

Internal APIs between microservices are the most exploited path in post-breach scenarios. We show why and how to test them.

Vulnerability scanners, DAST, BAS, and autonomous pentest agents each solve different problems. Here's when to use each.

Zero trust assumes breach. Then why do most organizations never actually test that assumption? Here's how to validate your ZTA works.

External pentests miss 100% of internal attack surface. We explain why autonomous agents are the answer to internal network security testing.

We show you what an actual breach simulation report contains: attack chains, evidence, risk ratings, and remediation steps.

Rate limiting is table stakes. We break down the 5 API security gaps we exploit most, from BOLA to mass assignment to broken object-level auth.

Auth bypass accounts for more critical findings than any other category in our data. Here are the patterns we exploit most often.

OWASP updated the Top 10 again. We break down what moved, what's new, and what it means for your testing strategy.

We compared DAST scanners against manual pentest findings across 80 engagements. The miss rate was worse than expected.

A concrete checklist for securing AI-generated apps. Copy it into your project tracker and check each item before deploying.

LLMs produce injectable SQL 15-38% of the time. We analyzed why, tested five models, and show how to catch it before production.

A practical, step-by-step guide to hardening v0-generated apps. Covers auth, headers, env vars, input validation, and deployment config.

After scanning 500+ Next.js apps built with Cursor and v0, the same 7 vulnerabilities appear in almost every one. Here's the list.

We tested 200 apps generated by popular AI coding tools. 94% had at least one exploitable vulnerability. Here's what we found.