Neutron, our AI engine, scored 96.75% on UC Berkeley's CyberGym benchmark. Learn more

Tag

#Application Security

7 articles

False positives are an engineering-capacity problem, not only a scanner-quality problem. Learn how to measure their cost and evaluate the ROI of proof-of-exploit testing.

Product

Who Should Use Ostorlab? Best-Fit Teams, Use Cases, and When to Choose Something Else

Ostorlab fits teams testing connected mobile, web, API, and code assets on every release. Where i...

Sep 28, 2026

Security

How Much Does an Application Penetration Test Cost in 2026?

Manual app pentests cost $3,000–$50,000+ in 2026; published AI pentests run $499 to about $8,000....

Sep 25, 2026

Product

How Deep Agentic Scan Catches Tricky Real-World Vulnerabilities

How Ostorlab's Deep Agentic Scan uncovers and empirically proves complex vulnerabilities across w...

Sep 23, 2026

More tagged #Application Security

Best On-Premises AppSec Testing Platforms (2026)

Compare Ostorlab, Invicti, Burp Suite DAST, HCL AppScan and Fortify for on-premises AppSec testing: deployment model, data control and private target access.

Sep 15, 2026

Best AI Pentesting Platforms in 2026

Compare leading AI pentesting platforms in 2026 by asset coverage, autonomous exploitation, attack chaining, evidence, compliance, and deployment.

Sep 09, 2026

Breaking Down the Latest Version of GoPhish: Source-Code Assessment with Ostorlab Agentic Deep Scan

A technical assessment of the latest version of GoPhish that examines how the platform handles trust: identity, untrusted content, object ownership, credential lifecycle, and outbound requests. Source-code analysis with Ostorlab Agentic Deep Scan established the eight report-level findings, PoCs, and remediation priorities.

Jul 16, 2026