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Identity And Access Management
CIO Bulletin,
25 June, 2026
Author:
Ravathi Sunil
AuthMind’s third U.S. patent strengthens its position in AI-powered cybersecurity by advancing identity risk detection and proactive network protection.
U.S. Patent No. 12,615,283 B2, "Systems and Methods for Network Security," was given to AuthMind, the pioneer in identity observability-driven threat defense. The patent expands AuthMind's portfolio of intellectual property and further the company's goal of assisting businesses in maintaining identity security and governance in contemporary business settings.
In order to detect security issues, policy breaches, compromised AI agents, unauthorized access paths, and other identity-related dangers, the patent covers technologies that monitor network data flows and authentication activity. In order to help companies identify and address possible identity threats before they become events, the patent also discusses the use of AI and machine learning approaches to assess identification and access behavior.
Non-human identities, autonomous workflows, and AI agents are growing more quickly than security teams can monitor them. The identity attack surface is growing beyond the reach of traditional security technologies as businesses use agentic AI in cloud, SaaS, and hybrid settings. Designed specifically for this new reality, AuthMind's patented Identity Access Flow Graph technology continuously monitors the runtime activity and real-world behavior of every human identity, and AI agent throughout the environment not simply the permissions those identities were supposed to have.
“Attackers are exploiting the visibility gap between what identity policies intend and what agentic AI, NHI, and human identities actually do, and most organizations have no way to see it.” - Shlomi Yanai, CEO and co-founder of AuthMind.
AuthMind's expanding portfolio of innovations in identity observability, identity threat detection and response (ITDR), identity security posture management (ISPM), and defense against new identity-centric threats involving cloud infrastructure, SaaS applications, and on-premise environments is enhanced by the patent.
AuthMind signifies a move toward proactive cybersecurity by emphasizing AI-powered detection and protection, where possible identity-based risks may be found and dealt with before they become significant breaches. CIO Bulletin views this as the patent milestone also represents the industry's broader trend toward the use of AI for ongoing risk monitoring and more intelligent security decision-making, in addition to attack response.
Everything you need to know about this news
The third U.S. patent from AuthMind focuses on AI-driven technology that can identify, evaluate, and defend against network identity threats. By detecting possible risks associated with digital identities, the invention seeks to enhance cybersecurity.
Compared to traditional security techniques, AI enables security teams to examine vast quantities of network activity, spot anomalous behavior, and quickly detect possible identity-related threats. This makes it possible to defend against cyberattacks more proactively.
By monitoring identity threats, identifying suspicious activity, and bolstering security across linked networks, AuthMind's AI-powered strategy helps enterprises lower their vulnerability to security breaches.
The patent accomplishment demonstrates AuthMind's ongoing commitment to cybersecurity innovation and reaffirms its emphasis on creating cutting-edge solutions for identity security issues in contemporary digital contexts.
Attackers are focusing on digital identities as entry points as companies depend more and more on cloud platforms, remote access, and connected systems. Protecting sensitive data and organizational networks now requires robust identity risk detection.








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