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...

Ostorlab vs. Manual Pentesting: More Critical Findings, Less Time, Lower Cost

Ostorlab reports more critical findings, shorter testing time, and assessment costs of one-tenth to one-for...

How to Vet a Third-Party Mobile App Before You Allow It in Your Company

A five-step mobile app vetting checklist for security teams (permissions, trackers, malware, data flows, st...

Precheck: Know Your Mobile Scan Will Work Before It Runs for Hours

Precheck verifies that a mobile app installs, launches, logs in and runs its UI prompts on a real device. W...

ARTEX: How a Free AI Pentest Framework Became an Attacker Staple

ARTEX went from a July GitHub release to bank breaches, a ConnectWise supply-chain compromise and a 200-tar...

How FairPlay Protects iOS App Binaries, and an Account-Level Weakness

How Apple FairPlay encrypts iOS app binaries, what is documented, and why one reusable account credential u...

79% vs 51%: Independent Neobanks Lag on App Security

Independent neobanks trail traditional banks by 28.1 percentage points on serious app security findings, de...