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Description

Mitigate lateral movement and prevent data theft by utilizing Avocado's security and visibility solutions that are both agentless and tailored for applications. This innovative approach combines app-native security with runtime policies and pico-segmentation, ensuring both simplicity and robust security at scale. By establishing microscopic perimeters around application subprocesses, threats can be contained at their most minimal definable surfaces. Additionally, by integrating runtime controls directly into these subprocesses, Avocado enables self-learning threat detection and automated remediation, regardless of the programming language or system architecture in use. Furthermore, it automatically shields your data from east-west attacks, functioning without the need for manual intervention and achieving near-zero false positives. Traditional agent-based detection methods, which rely on signatures, memory analysis, and behavioral assessments, fall short when faced with extensive attack surfaces and the persistent nature of lateral threats. Unless there is a fundamental shift in how attacks are detected, zero-day vulnerabilities and misconfiguration issues will persist, posing ongoing risks to organizational security. Ultimately, adopting such an advanced security model is essential for staying ahead of evolving cyber threats.

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.