Cognitive Autonomous Artificial System Intelligence
Detect Anomalous and Unknown Activity
Developed to address the limitations of traditional cyber solutions, CAASI, is an unsupervised ML software product that excels at identifying previously unknown threats without the need for prior identification. This revolutionary tool’s adaptability makes it applicable not only to defense operations but also to federal agencies and commercial organizations with critical infrastructure and industrial control system networks, ushering in a new era in advanced cybersecurity
Broad Government and Commercial Application
Applies to any network including critical infrastructure networks and Industrial Control Systems (ICS) making CAASI ideal for a broad range of applications including Supervisory Control and Data Acquisition (SCADA).
Always Learning and Improving
Continuously learns and improves without the need for guidance or interaction, enabling CAASI to recognize patterns, make predictions, and adapt to changing data.
Improves Speed and Accuracy
Immediately detects unregistered threats across all cyber networks without prior knowledge of vulnerabilities or exploitation methods.
Adapts to Changing Threats
Applies unsupervised machine learning to identify and adapt to new threats, countering hostile actions before damage is done.
Reduces Analyst Response Times
With continuous unsupervised learning, CAASI provides analysts with immediate and up to date information on threats and anomalies.
Integrates Across Platforms and Networks
Seamlessly integrates across diverse systems without the need for additional hardware or firmware.
Goes Beyond Cyber
The software has applications beyond cybersecurity with its ability to understand complex interactions and behaviors between systems and networks.