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#DAST

15 articles

How Ostorlab's Deep Agentic Scan uncovers and empirically proves complex vulnerabilities across web, mobile, and source code, in four real case studies.

Security

Can an AI Agent Prove SAST Findings at Runtime?

Static analysis flags possible bugs but cannot prove them. Runtime validation proved a Langflow a...

Sep 23, 2026

Security

Best API Security Testing Tools in 2026: 4 Compared

The best API security testing tools in 2026: StackHawk, 42Crunch, Escape, and Ostorlab compared o...

Sep 22, 2026

Product

Best On-Premises AppSec Testing Platforms (2026)

Compare Ostorlab, Invicti, Burp Suite DAST, HCL AppScan and Fortify for on-premises AppSec testin...

Sep 15, 2026

More tagged #DAST

Best Web App Security Testing Tools in 2026

Compare Ostorlab, Burp Suite DAST, Invicti, InsightAppSec, AppScan, XBOW and OWASP ZAP, plus when DAST is enough and when you need agentic pentesting.

Sep 11, 2026

The 2026 Guide to Penetration Testing for Startups (Costs, Process, and Vendor Selection)

A comprehensive guide on what penetration testing is, how much it costs for startups in 2026, the 5-step testing process, and how to choose the right vendor for your tech stack.

Aug 09, 2026

Announcing Ostorlab’s On-Premises Vulnerability Scanner

Announcing the general availability of the Ostorlab On-Premises Vulnerability Scanner, designed to identify and contextualize security flaws within your local infrastructure.

Aug 04, 2026

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 evidence to validate real attack paths.

Jul 22, 2026

Ostorlab vs Quokka Q-mast: Mobile DAST Comparison

Ostorlab vs Quokka Q-mast for mobile DAST: authenticated flows, TLS pinning bypass, PCAP evidence, geo-restricted apps, API scanning and Agentic Deep Scan.

Jul 15, 2026

There Is No Magic Box: Why AI-Era AppSec Needs a Stack

Walk the floor of any major cybersecurity conference today and you will hear about the promise of autonomous AI-powered platforms. But AI-only testing doesn't scale. A resilient AppSec program requires a cost-aware, tiered stack combining rapid traditional scanners, private semantic reviews, and selective orchestration of frontier models.

Jun 22, 2026

Mobile Benchmarking, Monkey Tester Reliability, and Deeper Web Crawling

This release introduces newly developed insecure mobile apps, improves the Monkey Tester for reliable prompt-based input during dynamic scans, and enhances the web crawler to explore deeper routes with faster performance. These improvements boost scanning coverage, accuracy, and reliability

Sep 23, 2025

From Random to Intelligent: How AI-Powered Monkey Testing Achieves 10x Mobile App Coverage

Ostorlab’s AI Monkey Tester transforms mobile app security testing by using natural language prompts and generative AI to automatically generate intelligent, context-aware test scenarios, resulting in up to a 10x increase in application coverage compared to traditional, rule-based testing approaches.

Aug 01, 2025

UI call coverage release for dynamic security testing

Ostorlab released the UI call coverage in the analysis environment to show the UI flow exercised during the dynamic security testing.

Sep 01, 2021

Universal bypass of SSL Pinning ... from theory to a full working PoC with LLDB

This article is about bypassing SSL pinning without needing to. Sounds confusing? We will go over the theory, build a full PoC using LLDB in Python and finally extend it to other cool tasks.

May 18, 2021


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