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 P.A.M.D. capabilities for next-gen network defense by engineering 4 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 language on an interoperable API/SOA architecture that seamlessly integrates more than 5 standard computing languages.
DeepCyber employs cloud | on-premise | IoT sensors, IP blacklists, sensor deceptions and one-time passcodes (OTP) to attenuate cyber attacks to insignificance. The SPC cloud collects, visualizes and transports sensors datasets for ADD Geo Mapping, predictive intelligence, cyber risk measurement and signal detection.
Modeling complex non-linear datasets is hard: it takes a PhD student 3-5 years to conceptualize, develop and optimize a quantitative model. DC2.5 automates the modeling within weeks and runs the model for prediction within minutes to produce predictive intelligence.
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.
The AMP/SCP/UCI/RAD cloud 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.
Email: firstname.lastname@example.org. Corporate address: 2711 Centerville Road, Suite 400, Wilmington, Delaware 19808, USA
You may request a product demo of DC enterprise cloud servers by email: email@example.com. You may also start a proof of concept with your own dataset or REST API endpoint. This shall produce AI predictive charts on the cybersecurity metrics (e.g., CVSS) of your choice. DC's AI cloud machines automate data-driven modeling to predict cyber attacks.