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Title: EnforceAuth Launches the First AI-Native Security Fabric as Enterprises Brace for Autonomous Software

United States, 13th Feb 2026 - As artificial intelligence moves from experimentation to the core of enterprise operations, risk executives are discovering that yesterday’s identity‑ and role‑based security models cannot govern non‑human decision makers or distributed, machine-driven workflows operating as shared infrastructure. Independent surveys reveal that 71 % of CISOs report that AI already has access to core business systems but only 16 % believe that access is effectively governed. Likewise, 94 % of security leaders see AI as the most significant driver of change in cybersecurity, and 87 % identify AI‑related vulnerabilities as the fastest‑growing risk. Boards are calling for new controls as regulatory scrutiny intensifies.EnforceAuth today announced the industry’s first AI‑native Security Fabric, a decision‑centric platform engineered to secure autonomous software. Developed by operators who scaled policy‑as‑code and authorization systems for the Fortune 500, the platform monitors and authorizes every action taken by AI agents, bots and automated workflows in real time. Unlike legacy identity and access management (IAM) tools, which were designed to grant static privileges to human users, EnforceAuth evaluates each decision on the basis of context, delegated authority, risk and intent – and can constrain or revoke permissions instantly.Executive SummaryMarket urgency – Autonomous software is already acting on behalf of employees and customers. Surveys show that 92 % of organizations lack full visibility into AI identities and 95 % doubt they could detect misuse if it occurred. Traditional IAM systems were never designed for such machine‑driven activity.Regulatory and board pressure – AI‑driven threats and regulatory uncertainty make cyber risk a board‑level...

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