MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641048619 A) filed by Praba R; Srinath S; Yogesh S; Adithya S; and Saran P on April 16, 2026, for Autonomous Self Adaptive Multi Agent System For Real Time Log Analysis And Root Cause Detection Usin.
Inventors include Praba R; Srinath S; Yogesh S; Adithya S; and Saran P.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: In modern distributed systems, a huge amount of log data is generated continuously, which makes manual monitoring and debugging very difficult. Traditional systems use fixed rules, so they often fail to detect new or complex issues.To solve this, the proposed system uses multiple intelligent agents that automatically analyze logs in real time. It uses machine learning to detect unusual patterns (anomalies) and identify problems. The system combines different techniques like graph-based analysis, machine learning, rule-based methods, and Al models to find the root cause of issues accurately. It also uses advanced search methods (like FAISS) and language models to suggest useful solutions.Over time, the system improves itself by learning from new data and adapting to changes. It also includes a real-time dashboard to show logs, system status, and detected issues clearly.Overall, this system improves reliability, reduces downtime, and automates debugging in complex systems.
Disclaimer: Curated by HT Syndication.
