Digital security basket

Information Retrieval from the Dark and Deep Web

Our solution begins with gathering information through API Surfaces from Database which collects 9GB per second is the hidden information from the deep corners of the internet. This includes web scraping as well as specialized analytical techniques that enable comprehensive data collection and analysis of lost data. This provides us with a broad view of potential threats.

Information Extraction Using NLP (SpaCy)

After collecting information, we employ advanced Natural Language Processing (NLP). With these tools, we can extract, structure, and identify significant texts and entities from a vast pool of information.

Graph Analysis with NetworkX

Once information is separated and organized, a knowledge graph is constructed. This graph is efficiently analyzed using the NetworkX graph analysis tool. It allows us to visualize and understand complex dependencies and relationships underlying cyber threats.

Social Physics and Interaction Analysis

Social physics tools come into play when examining interactions among actors within the
knowledge graph. This helps us understand how cyber threats propagate and impact different entities.

AI Tools Such as Machine Learning and Neural Networks

Includes a robust artificial intelligence (AI) component based on machine learning and neural
networks. These tools support entity identification and risk analysis. They also enable anomaly detection, providing analysts with valuable insights into potential threats and vulnerabilities.

Target for security

Customer data is encrypted using homomorphic encryption. Third-party service providers perform computations on the encrypted data, producing encrypted results. Data remains secure while enabling analysis and personalized services.
The DIE model improves security by emphasizing distribution, immutability, and ephemerality. It enables scalability, easy infrastructure replacement, quick system reprovisioning, and breach resilience. It finds applications in cloud computing and DevOps environments, enhancing adaptability and ensuring system robustness.