This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2025-2026.
Company Filing History:
Years Active: 2025-2026
Title: M Krishnakant Achary: Innovator in Anomaly Detection Technology
Introduction
M Krishnakant Achary is a notable inventor based in Malkangiri, India. He has made significant contributions to the field of technology, particularly in the area of anomaly detection. His innovative work has led to the development of a patented method that enhances security measures in login systems.
Latest Patents
Achary holds a patent for "Realtime identity attack detection and remediation." This invention provides a comprehensive method, computer system, and computer program product for detecting anomalies in login events. The process involves receiving login event data, labeling requests as non-anomalous or anomalous, and performing aggregate feature extraction. The system filters out data from anomalous requests and trains an autoencoder machine learning model to learn the behavior of non-anomalous requests. This enriched data is then used to train a classifier model that identifies anomalous login requests with a confidence value. Achary's patent represents a significant advancement in cybersecurity.
Career Highlights
M Krishnakant Achary is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to innovative projects that address real-world challenges. Achary's expertise in machine learning and anomaly detection has positioned him as a valuable asset in his field.
Collaborations
Achary collaborates with Ritesh Kumar, a coworker at IBM. Their partnership fosters a creative environment that encourages the development of innovative solutions in technology.
Conclusion
M Krishnakant Achary's contributions to anomaly detection technology exemplify his commitment to innovation and security. His patented work not only enhances login security but also showcases the potential of machine learning in real-time applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
