AI agents can access data, trigger workflows, and take action across enterprise systems. Token Security explains why governing these privileged identities is becoming essential
AI agents can improvise beyond the intended scope of a task when they are given broad access to enterprise systems and data. Token Security explains why organizations need to
AI agents are accelerating the growth of non-human identities, making it harder for organizations to understand what exists, who owns it, and what it can access. Netwrix explains
As AI agents increasingly work alongside humans across organizations, companies could be inadvertently opening a new attack surface. Insecure agents can be manipulated to access
Security teams have spent decades asking whether an identity has too much access. AI agents raise a harder question: how can we determine which paths an autonomous system can
<h1> OWASP Agentic Top 10 — What Every AI Developer Should Know in 2026 </h1> <blockquote> <p>2026 年,你的 AI Agent 刚刚自动完成了一笔 100 万美元的转账,但你从未授权这个操作。</p> </blockquote>
What is IAM for AI agents? AI agents authenticate, invoke tools, and act across enterprise systems with delegated authority. IAM for AI Agents is the identity-control architecture
<p>The rapid adoption of AI productivity tools is exposing a dangerous blind spot in enterprise security architecture. Organizations invest heavily in firewalls, SSO, and MFA not
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