Vehere's AI Counter-Terrorism platform provides agencies with the capability for real-time data collection and large-scale analysis across networks. It is designed to detect, decode, and disrupt threats with precision, enabling users to understand current locations and predict future movements of adversaries. The platform offers advanced capabilities such as seeing the unseen, connecting disparate information, breaking language barriers through audio analysis, cutting through noise to flag critical events, and decrypting intent even when content is obscured. It facilitates the identification of connections and mapping of information across entities, revealing fragmented identities and relationships through shared identifiers. Profiles are enriched with contextual data for deeper operational understanding, allowing for the pinpointing of entities of interest within massive datasets. The platform emphasizes control, privacy, and integrity through a secure, policy-driven framework, ensuring lawful and ethical data analysis with insights that align with legal and regulatory standards. Role-based access control and advanced PII detection for data privacy are integral. Its modular and scalable architecture supports broad use cases across tactical, operational, and strategic missions, including mass network intelligence, lawful interception, cyber vigilance, crime investigation, entity profiling, collecting foreign signals, and detecting cyber threats to critical infrastructure.

Features & Benefits

• Deep Packet Inspection: Provides high-speed, real-time passive interception for lossless data extraction with next-gen DPI probe.
• Unified Homeland Security Platform: Offers a 360-degree view of adversaries through a unified interface of all intercepted data.
• Terabit Speed, Petabyte Scale: Enables terabit-speed packet capture with petabyte-scale storage and retrieval in seconds.
• AI-Powered Threat Detection: Utilizes unsupervised algorithms (impact, C2, data exfiltration), supervised deep neural networks (cyberattacks), and Random Forest models (behavioral deviations) for advanced threat identification.
• Entity Connection and Profiling: Correlates diverse data points to reveal and unify fragmented identities, detect relationships, and enrich profiles for operational understanding.
• Secure Data Management: Ensures control, privacy, and integrity with a secure, policy-driven framework, role-based access control, and PII detection.
• Modular and Scalable Architecture: Designed for mission-critical environments, supporting broad use cases across tactical, operational, and strategic missions.