Advanced AI that's ready for tomorrow - Today

Traditional anomaly detectors are subject to the same rapid obsolescence that affects signature-based and heuristics-based technologies.

In contrast, Cienaga's Genetically Engineered Cyber Security enables detectors to remain effective even as attackers improve in sophistication by continuously testing mutated attacks against a hypothetical attack surface, evolving new detectors as new successful attacks are discovered. 

​Employing the latest techniques from game theory, machine learning, statistics and advanced data visualization, Cienaga Systems' Genetically Engineered Cyber Security technology models adversarial versus collaborative network interactions, ascertains peer group reputation and understands the risk posture of each host in a network, thereby enhancing the process followed by human experts when reviewing network activity.

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Comparative Performance

The charts below demonstrate an evolving attacker's success rate over time, when (a) facing a standard anomaly detector and (b) a Genetically Engineered Cyber Security detector 

Standard anomaly detector

Genetically Engineered Cyber Security detector

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Cienaga Systems' DejaVu

Cienaga Systems' DejaVu offers threat-intelligence-independent analytics which are unencumbered from easily circumventable signatures, arbitrary heuristics, elusive samples and biased baselines. 

Cienaga Systems' DejaVu innovative approach utilizes detectors that are ready for tomorrow's attacks, today. By leveraging the latest innovations in machine learning and Cienaga Systems' proprietary algorithms, DejaVu is prepared to detect tomorrow's attacks, today. 

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