MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202611080676 A) filed by Mr. Karthik Anand Paramasivam on June 30, 2026, for Intelligent Cyber Resilience Architecture For Critical Infrastructure And Enter-Prise Systems.
Inventor includes Mr. Karthik Anand Paramasivam.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: This invention introduces the Intelligent Cyber Resilience Architecture (ICRA)—a new approach to defending critical infrastructure and enterprise systems against a relentless wave of sophisticated cyber threats. As IT and OT environments inter-twine, old perimeter defenses, static rules, and reactive incident response just don’t stand up against modern challenges like advanced persistent threats, zero-day ex-ploits, ransomware, supply chain breaches, and state-sponsored attacks. The ICRA breaks through these weak points with a unified, adaptive framework that learns, heals, and acts on its own. It fuses artificial intelligence, machine learning, multi- modal data analysis, automated orchestration, and continuous feedback to stay ahead of threats, contain them right away, and recover with impressive speed—even as at-tack methods evolve. The architecture itself operates through five interconnected layers. First, the Sensing and Data Fusion Layer pulls in and analyzes telemetry from IT and OT networks, endpoints, real-world sensors, cloud workloads, IoT devices, and outside threat intel-ligence. It uses advanced techniques like graph-based data correlation and privacy-preserving federated learning to make sense of this complex stream. Next, the AI/ML Inference Engine brings together behavioral baselines, anomaly detection, predictive analytics, reinforcement learning, and explainable models—including graph neural networks and digital twins. The result is accurate threat hunting, powerful risk scor-ing, and impact prediction with fewer false alarms. After that, the Adaptive Orchestration Layer takes over, automating containment, isolation, micro-segmentation, and response steps. This draws on the core principles of Security Orchestration, Automation, and Response (SOAR), but adds context-aware policies that reshape defenses on the fly as attackers shift tactics. The Resilient Data Fabric layer keeps critical operations running with immutable ledgers, cryptography designed to withstand quantum attacks, redundant secure stor-age, and recovery pathways that constantly optimize themselves—aiming to get key systems back online in minutes, not hours. Finally, the Governance and Continuous Learning Module makes sure the whole system stays compliant with NIST CSF 2.0, ISO 27001, and NERC CIP. It tracks resilience metrics like mean time to detect and recover and uses feedback from incidents to sharpen its models. What sets ICRA apart is its ability to bridge IT and OT in hybrid cloud-edge setups, support legacy systems like ICS/SCADA, and cover everything from 5G and 6G in-frastructure to sprawling enterprise networks. It works in energy, transportation, wa-ter, healthcare, finance, telecom—you name it. Some standout innovations include multimodal data fusion for broad, real-time awareness; human-AI interfaces that ac-tually make sense in practice; zero-trust, dynamic trust scoring; and evolving policies that not only defend but strengthen the system under constant threat. So, instead of patching together isolated solutions, ICRA creates a complete, seam-less defense—lowering operational costs, easing skill shortages, shrinking downtime, and improving both compliance and public safety. It scales easily and keeps disrup-tions—both economic and societal—from spiraling out of control. Whether as soft-ware, cloud-native deployments, or on-premises configurations, it fits the high-stakes environments that need it most. In short, this framework turns cybersecurity from a reactive scramble into a proac-tive, autonomous shield. Essential services keep running, national and economic se-curity get a real boost, and organizations are finally equipped to face whatever comes next. More technical details, methods, algorithms, and implementation examples ap-pear in the following sections of the documentation.
Disclaimer: Curated by HT Syndication.
