Tag
#Security
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, device requirements, exploit proof, authenticated testing, integrations, deployment and cost, with alternatives and an FAQ.
Oct 07, 2026
Ostorlab vs Oversecured: Mobile App Security Testing Compared (2026)
Ostorlab vs Oversecured for mobile app security testing: iOS and Android coverage, exploit proof,...
Oct 07, 2026
Snyk and Checkmarx Alternatives: Ostorlab vs Snyk Code, Checkmarx One and GitHub Advanced Security (2026)
The best Snyk Code, Checkmarx One and GitHub Advanced Security alternatives for SAST in 2026, and...
Oct 07, 2026
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 #Security
The Map and the Window: How an Agentic Scan Chained a Documentation Leak Into Stolen Credentials
See how Ostorlab's Agentic Deep Scan chained a Medium-severity OpenAPI disclosure and an SSRF vulnerability to bypass a loopback restriction and extract database credentials.
Sep 23, 2026
Ostorlab Neutron on UC Berkeley CyberGym: 96.75% Verified Exploitation (1,458/1,507 Tasks)
A technical deep-dive into how Ostorlab Neutron reached a 96.75% verified exploit solved rate (1,458/1,507 tasks) and localized the flaw in all 1,507 tasks on UC Berkeley's CyberGym benchmark, combining pure source reverse engineering with deterministic protocol modeling.
Sep 15, 2026
Ostorlab Neutron Reaches 96.7% on the CyberGym Benchmark
Ostorlab Neutron reached a 96.7% verified exploit solve rate on CyberGym, producing working differential proofs of concept for 1,458 of the benchmark's 1,507 vulnerability reproduction tasks.
Sep 14, 2026
Introducing Multi-Asset Deep Agentic Scan: Connected Testing Across the Application
Multi-Asset Deep Agentic Scan assesses related mobile, web, API, network, source-code, and documentation assets in one connected agentic investigation.
Sep 02, 2026
Introducing the Ostorlab Platform MCP Server
Ostorlab now supports MCP, giving AI assistants and agents permission-controlled access to security data and workflows.
Aug 08, 2026
Introducing Risk Reruns: Granular Control for Agentic Deep Scans
Introducing Risk Reruns for Agentic Deep Scans—rerun specific risk investigations with customized effort levels, AI models, or parameters without re-uploading assets or starting over.
Aug 07, 2026
Can SOC 2 Accept an AI-Conducted Penetration Test?
SOC 2 doesn't name a required testing method, so auditors judge evidence, not tools. Here's what an AI-conducted penetration test actually needs to satisfy a SOC 2 Type II audit.
Aug 06, 2026
Introducing Agentic Scan Knowledge: The Scanner That Never Forgets
Agentic Scan Knowledge gives Ostorlab security agents persistent application context, allowing every scan to build on previous tests instead of starting again from zero.
Aug 05, 2026
Introducing Ostorlab Mobile Shielding Scan
Ostorlab Mobile Shielding Scan tests Android and iOS protections against real bypasses, including root detection, anti-tampering, certificate pinning, and obfuscation.
Aug 04, 2026
Ostorlab vs Aikido: AppSec Platform Comparison
Ostorlab vs Aikido on SAST, web and API pentesting, mobile binary testing, cloud posture, BYOK and remediation, with a side-by-side table and an FAQ.
Aug 03, 2026