Future-oriented cyber defense is the next-gen strategy of national security and enterprise security. Similar and complementary to EINSTEIN, DC2.5, the flagship solution of DeepCyber, P.A.M.D.s (predict | attenuate | monitor | detect) cyber attacks to enterprise/IoT networks and data centers. According to Bloomberg and Yahoo news, the EINSTEIN program is funded about $350 million each year.
DC2.5 is the next-gen (AI algos being patented), powerful (cyber sensors) and affordable COTS cyber defense cloud system powered by our research and development breakthroughs in deep learning AI algorithms and automated prediction. DC2.5, PNN and MCPS are being patented by USPTO.
DeepCyber enables the P.A.M.D. capabilities for next-gen network and application defense by dockerizing four cloud systems: AMP (Auto-Model-Predict) cloud, SPC (Sensor-Portal) cloud, UCI (U.S.-CyberRisk-Index) cloud, and RAD (Rapid-Analytics-Detection) cloud. DC is developed in the D languages on an interoperable API/SOA architecture that seamlessly integrates more than 5 standard computing languages.
DeepCyber employs cloud | on-premise | IoT sensors, sensor deception shields and dockerized ADD blacklists to attenuate cyber attacks (e.g., Zero-day, DDoS and SQL injection) to insignificance for enterprise network and application cybersecurity (e.g., IoT networks, banks, government, hospitals). The SPC cloud collects and visualizes sensor datasets for countermeasures as ADD lists and DSD shields, GeoMapping, predictive intelligence, cyber risk measurement and signal detection. Anchoring: DELL SecureWorks (valuation of about $1 billion)
Modeling complex non-linear datasets is hard: it takes a PhD student 3-5 years to conceptualize, develop and optimize a quantitative model. DC AMP, the AI machine, automates the modeling and runs the model for prediction within minutes to produce predictive intelligence. Anchoring: Google DeepMind (sold for $600 million)
DeepCyber enables automated signal detection and conjoint analytics to discover latent patterns, anomalies and insights by the Web-based RAD cloud for data-driven decisions. Wisdom for decision making and leadership: frame decision to choice as conjoint evaluation and prediction. Anchoring: IBM SPSS (sold for $1.2 billion).
The AMP/SCP/UCI/RAD cloud AI machines are designed by DeepCyber, a private U.S. company specializing in cyber security, predictive intelligence, automated modeling and prediction, Cloud and Data Science solutions.
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