MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641125228 A) filed by Sree Durga Madhu; Mr. K. Santhiyagu Wilson; D. Padmashree; Dr. Sai Krishna A; Nisitha M S; Aswanth Murugan; Dr. Sudanva G Kulkarni; and G. S. Infant Sainy on October 21, 2026, for Intelligent Risk Assessment And Incident Prediction System For Corporate Security Threat Detection.
Inventors include Sree Durga Madhu; Mr. K. Santhiyagu Wilson; D. Padmashree; Dr. Sai Krishna A; Nisitha M S; Aswanth Murugan; Dr. Sudanva G Kulkarni; and G. S. Infant Sainy.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: ABSTRACT [505] The present invention introduces an advanced intelligent risk assessment and incident prediction system for corporate security threat detection that integrates multi-source security signal processing with real-time risk-scoring frameworks and adaptive incident-prediction mechanisms, facilitating dynamic threat characterisation, risk-driven prioritisation, and robust prediction confirmation while maintaining seamless enterprise-security integration and operational accuracy for consistent corporate protection applications. [510] The comprehensive assessment framework employs adaptive machine-learning algorithms and correlation-processing protocols, utilising embedded computational processing arrays and resource-efficient inference systems to ensure timely threat identification, enhanced risk understanding, and optimal prediction reliability while maintaining continuous security-monitoring capabilities across physical, digital, and human-factor domains. [515] The integrated methodology combines multi-source event acquisition techniques with artificial-intelligence-driven pattern recognition systems, leveraging variable-confidence threat signals and multi-factor risk indicators to optimise assessment procedures and response workflows for maximum predictive accuracy and minimal false-alarm uncertainty during critical corporate-security operations. [520] The novel responsive assessment architecture features engineered high-throughput event-processing components with specialised threat-fingerprinting protocols, enabling complex multi-stage risk verification while ensuring scoring consistency and performance optimisation across various enterprise configurations without compromising system reliability or privacy. [525] The innovative design incorporates strategic validation mechanisms for enhanced threat identification and operational security, utilising optimised multi-source systems and adaptive scoring technology to ensure legitimate risk classification while maintaining functionality across diverse corporate environments and incident scenarios. [530] Implementation methodology emphasises scalable assessment integration and efficient prediction sequences, implementing interactive monitoring measures and predictive algorithms to achieve superior risk determination, enhanced threat identification, and incident prevention while ensuring technological simplicity during security monitoring. [535] The system demonstrates exceptional adaptability through comprehensive integration of threat-identification protocols and intelligent prediction technologies, validating its effectiveness across various corporate-security configurations and operational scenarios while maintaining consistent assessment performance and operational efficiency under diverse conditions. [540] The developed framework enables sustainable and reliable protection of corporate assets through streamlined, AI-powered assessment systems, providing significant advantages over traditional reactive approaches through adaptive risk mechanisms, predictive identification protocols, and improved incident prevention while maintaining superior assessment accuracy during critical corporate-security procedures.
Disclaimer: Curated by HT Syndication.
