Actionable & Integrated Malware Detection

Crytica’s Probes use minimal system resources. They can run concurrently with full system operation and not negatively impact system performance. They are tiny (measured in kilobytes not megabytes), fast, and efficient. The Linux version of the probe has a footprint of under 80 KB. It can scan a system of a million files in under 20 seconds. Small size, rapid speed, and minimum resource use mean that a Crytica Probe can operate continuously and repeatedly in its environment. In contrast, most other malware detectors must run only at prespecified times, typically during system quiescence.

The Crytica detection algorithm is deterministic, not probabilistic. It is not plagued with the vagaries of Artificial Intelligence (AI) and heuristic algorithms. Therefore, when Crytica issues an alert, there is a concrete reason for it.

Crytica’s Rapid Detection & Alert (RDA) System seamlessly integrates with existing current anti-malware systems to provide timely “detected anomaly” data. The results of this integration include:

Most malware detection systems rely upon "history" and previously identified attacks to detect an attack. Crytica's detection algorithm does not rely upon history, and so it can detect the previously undetectable.

Crytica has the ability absorb the inevitable attacks upon it. Unlike traditional malware defenses which, when compromised constitute a “single-point catastrophic failure”, Crytica is designed to be resilient to attacks. Its patented resiliency features include:

Many Cybersecurity tools are designed to operate within version-specific OS environments. Crytica operates at a generic, flexible application level. The same version of Crytica's code can operate within almost all specific OS distros and versions. Running at the application level supports a high degree of tolerance for OS changes and updates.

While many malware detectors struggle to adapt to diverse operating environments like small IoT devices, Crytica’s tiny, efficient probes can easily be tailored to fit almost any setting, including highly constrained IoT devices.