YottaSecure offers an Autonomous Vulnerability Intelligence Platform powered by Artificial Neural Network technology for proactive cyber defense at scale. This open-source platform enables users to build tailored AI models for continuous monitoring, anomaly detection, and dynamic threat response. The system intelligently prioritizes vulnerabilities and implements ZeroTrust identity management across complex digital infrastructures.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and critical‑infrastructure operators managing extensive digital assets often rely on manual vulnerability scans and fragmented threat feeds, which cannot keep pace with the volume and velocity of emerging exploits. This results in delayed detection, poor prioritization of high‑risk findings, and increased exposure to attacks across cloud, on‑premise, and OT environments.
Solution
YottaSecure delivers an autonomous vulnerability intelligence platform powered by artificial neural networks that continuously ingests telemetry, correlates it with threat intelligence, and surfaces actionable insights in real time. The open‑source framework lets security engineers train custom AI models on organization‑specific attack data, enabling precise anomaly detection and adaptive threat modeling. Its proprietary PRUNE algorithm dynamically re‑prioritizes vulnerabilities as new evidence emerges, focusing remediation effort on the most critical exposures. Integrated Zero‑Trust identity management issues short‑lived keys between applications, reducing the attack surface while preserving seamless access. All components operate at scale, supporting continuous monitoring across heterogeneous environments—from cloud workloads to SCADA systems—through a unified data pipeline and API‑driven integration.
Target Audience
The platform is aimed at security operations centers, incident response teams, and risk managers in large enterprises, critical infrastructure providers, healthcare organizations, and manufacturers operating SCADA or OT environments that require automated, high‑scale vulnerability management.
Features
- Artificial Neural Network (ANN) engine for training and inference on organization‑specific attack datasets
- Open‑source model builder that allows security teams to create, test, and deploy custom AI detection models
- PRUNE prioritization engine that continuously re‑ranks vulnerabilities based on real‑time threat activity and contextual risk factors
- Continuous asset discovery and mapping across cloud, on‑premise, and OT networks with automated inventory updates
- Real‑time anomaly detection and AI‑driven threat modeling using streaming telemetry and log data
- Zero‑Trust identity framework issuing short‑lived cryptographic keys for inter‑service authentication
- RESTful and FHIR‑compatible APIs for seamless integration with SIEM, SOAR, and ticketing platforms
- Partner‑enabled consulting services for model fine‑tuning, deployment assistance, and compliance alignment