MIDDLETOWN, DE — Ostorlab introduced an AI-driven penetration testing engine designed to help security teams identify and validate mobile application vulnerabilities more quickly and with greater accuracy, marking a shift toward automated testing in a field still dominated by manual assessments.
The AI Pentesting Engine for Mobile Applications analyzes app behavior, navigates authentication and session constraints, and validates exploitability with proof-of-concept evidence. Ostorlab said the system produces concise, verified findings rather than lengthy reports filled with unconfirmed alerts.
Ostorlab said the technology addresses a longstanding gap in mobile security, where organizations often test only a fraction of their applications each year due to the cost and time required for manual penetration testing. The company said AI-enabled assessments allow continuous testing across entire portfolios, including legacy applications and complex payment workflows, without extensive setup.
Manual security reviews can take weeks to schedule, a delay that becomes critical during zero-day events or urgent production issues. The company said its AI engine can deliver actionable insights within hours—or in some cases minutes—enabling security teams to respond faster to potential exposure.
Each finding includes validation steps, safe proof-of-concept demonstrations and screenshots showing how an attacker could exploit the vulnerability. Ostorlab said this transparency helps developers understand the impact of an issue, reduces pushback on remediation efforts and shortens the time required to fix confirmed problems.
The engine integrates with existing Ostorlab workflows, maintaining automation, ticketing connections and performance built for large-scale environments.
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