Ostorlab Threat Center now brings EUVD intelligence alongside NVD data, giving security teams broader vulnerability visibility as they prepare for the EU Cyber Resilience Act.

Security

AI Pentesting Prompts That Produce Evidence, Not Just Findings

A practical guide to designing AI-assisted security testing workflows that turn scoped evidence i...

Thu 23 July 2026

Engineering

When Does an AI Scanner Become an AI Pentest?

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

Wed 22 July 2026

Engineering

Source Code Security: From Signal to Validated Risk | Ostorlab

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

Thu 16 July 2026

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.

A technical comparison of Ostorlab and Quokka Q-mast Mobile Application Security Testing (MAST) tools, highlighting their foundational DAST capabilities and advanced AI agentic features for DevSecOps.

Latest posts

Introducing Ostorlab Source Code Scanning

Source Code Scanning helps you identify security vulnerabilities directly in your source code before they reach production. Connect your repositories, run scans on demand, and review actionable findings from within Ostorlab.

Tue 07 July 2026

App Vetting, Scan Coverage Heatmap, Mobile Shielding Scan, Deep Agentic Scan Improvements, Cyber Models & Source Code Scanning

This release introduces App Vetting, Scan Coverage Heatmap, Mobile Shielding Scan, Deep Agentic Scan improvements, Cyber Models, additional model support, and source code scanning.

Tue 07 July 2026

Deep Scan Improvements: Faster Execution, Better Decisions, and Incremental Testing

The latest Deep Agentic Scan release introduces faster mobile testing, improved reverse engineering, stronger vulnerability detection, incremental coverage through historical scan processing, improved vulnerability chaining, and managed Cyber Models for mobile and web assessments.

Tue 30 June 2026

Introducing Mobile Shielding That Can Resist AI Attacks

Ostorlab has launched Mobile Shielding Scan, an automated, AI-powered testing solution designed specifically for shielding detection and validation. It gives security teams streamlined, continuous validation of critical iOS and Android runtime protections, identifying whether security shields are actually present and if they can withstand real-world attacks. This empowers organizations with an automated, scalable, and powerful way to continuously validate RASP tools and mobile self-defense layers across every release.

Thu 25 June 2026

The App Was Never Opened

Agentic harnesses change what an LLM can do in mobile app security testing. On its own, a model can name likely risks such as insecure storage, exposed secrets, risky permissions, vulnerable SDKs, backend issues, and privacy exposure, but the app may remain untouched. With the right tools, context, memory, prompts, execution loops, and runtime feedback around it, the model can inspect the app package, observe behavior, follow traffic, connect signals, and leave behind evidence a security team can review. From permission analysis to GEF-powered native exploitation, the difference is visible in the trace: app evidence, tool output, runtime proof, and reproducible steps instead of report-shaped text.

Thu 25 June 2026

Introducing Ostorlab Cyber Models

Ostorlab has launched Cyber Models, a managed, prepaid AI infrastructure tier for Deep Agentic Scans. It gives security teams streamlined access to specialized models like GPT-5.5 Cyber and Opus 4.8 with Cyber Verification Program through approved provider channels. This bypasses the need to manage external API keys, provider rate limits, or fragmented billing dashboards.

Tue 23 June 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.

Mon 22 June 2026

The Definitive Guide to Mobile App Vetting: Securing the Enterprise App Ecosystem

This comprehensive guide covers the architecture, risk methodologies, and deployment frameworks required to architect an enterprise mobile app vetting strategy that protects corporate data assets without creating operational friction.

Fri 19 June 2026


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