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Description

MASST (Mobile Application Security Suite & Tools) serves as an integrated platform focused on ensuring the security of mobile applications by identifying, safeguarding, and overseeing them throughout their development and operational phases. Within its Threat Detection component, the suite incorporates various modules, including CodeLock for analyzing vulnerabilities across more than 50 vectors, RunLock for conducting runtime evaluations and simulating attacks, APILock for identifying and securing API endpoints, and ThreatLock for comprehensive red-teaming evaluations. To mitigate potential threats, the suite provides protective measures such as Defender, which employs RASP for real-time shielding; Shield, designed to prevent reverse-engineering and intellectual property theft; and Guard, which securely manages local storage of sensitive data, keys, and certificates using white-box cryptography. Additionally, the Threat Visibility layer features the ThreatLens Dashboard, which enables real-time surveillance, analytical assessments, and practical insights related to attacks, anomalies, and the overall security status of applications. This holistic approach not only safeguards mobile applications but also empowers developers with the tools necessary to enhance their security measures continuously.

Description

Runtime threat assessment, runtime attack analysis, and targeted protection of your infrastructure and applications. Zero-day attacks can be stopped by staying ahead of attackers. Observe attack behavior. ThreatStryker monitors, correlates, learns, and acts to protect your applications. Deepfence ThreatStryker displays a live, interactive, color-coded view on the topology and all processes and containers running. It inspects hosts and containers to find vulnerable components. It also interrogates configuration to identify file system, processes, and network-related misconfigurations. ThreatStryker uses industry and community standards to assess compliance. ThreatStryker conducts a deep inspection of network traffic, system behavior, and application behavior and accumulates suspicious events over time. The events are classified and correlated with known vulnerabilities and suspicious patterns.