Ostorlab Blog

The True Cost of False Positives: Calculating the Engineering Tax of Noisy Scanners

False positives are an engineering-capacity problem, not only a scanner-quality problem. Learn how to measu...

When Does an AI Scanner Become an AI Pentest?

Learn what separates AI-powered scanning from AI pentesting and how Ostorlab Deep Agentic Scan follows evid...

Source Code Security: From Signal to Validated Risk | Ostorlab

Learn how source code security testing works, why traditional SAST creates false positives, and how agentic...

Free Website Vulnerability Scan: What a Passive Scan Finds, and What It Can't

Run a free, production-safe website security scan with Ostorlab: TLS, security headers and known-vulnerable...

How Ostorlab Detects LLM Vulnerabilities

See how Ostorlab detects LLM vulnerabilities through banking chatbot examples of private statement leaks, u...

Your AI Pentester Now Asks Before It Takes a Risky Action

Agentic scans can now ask for your approval before a risky action. Choose how the agent handles it, answer ...

Ostorlab vs MobSF: Analyst-Driven vs AI-Driven Mobile Security Testing (2026)

Ostorlab vs MobSF (Mobile Security Framework) for mobile app security testing: static and dynamic analysis,...

Ostorlab vs Oversecured: Mobile App Security Testing Compared (2026)

Ostorlab vs Oversecured for mobile app security testing: iOS and Android coverage, exploit proof, authentic...

Ostorlab vs. Pentesting Firms: 2026 Cost & Depth Comparison

Ostorlab vs. pentesting firms: cost, testing frequency, depth and remediation, and when to use AI pentests,...