#Mobile Security

Security

The best API security testing tools in 2026: StackHawk, 42Crunch, Escape, and Ostorlab compared on DAST, BOLA/BFLA testing, API discovery, and CI/CD.

Product

Compare Ostorlab, NowSecure, Quokka, Zimperium, Appknox and Data Theorem for Android and iOS app vetting: operating model, risk scoring and monitoring.

Security

Detection and enforcement are different security properties. Across five production banking apps protected by four commercial shielding products, the detection was sophisticated and the enforcement was fragile.

Product

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

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

Product

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.

Engineering

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.

Product

Ostorlab has launched Cyber Models, a managed, prepaid AI infrastructure tier for Agentic Deep 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.

Product

Ostorlab has launched App Vetting, a mobile application risk assessment solution that helps teams evaluate Android and iOS apps before approval. It combines static analysis, dynamic testing, and secure sandbox execution with continuous monitoring, weighted risk scoring, and agentic workflows to identify vulnerabilities, privacy risks, malware indicators, telemetry behavior, and trust issues while helping teams prioritize what matters most.

Security

Static analysis of TV_V_23.apk, BeatBanker/BTMOB Android banking malware disguised as a flashlight app: four-stage chain, anti-analysis, attribution and IOCs.