Analysis · curated 10 Aug 2026
Securing AI agents through platform controls and shared responsibility | cloud-infrastructure
First reported oracle.com
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Why it matters
Oracle's shared-responsibility framing highlights that as AI agents move into production and act on behalf of workflows, defenders must govern access, tool use, and oversight against a recognized taxonomy of AI-specific threats.
Oracle's blog post discusses securing AI agents in enterprise SaaS workflows through platform controls and a shared-responsibility model, describing how agents that retrieve data, call tools, and trigger business processes must be governed. It references emerging AI-security standards (ISO/IEC 42001, ISO/IEC FDIS 27090, CEN/CENELEC) and a converging threat taxonomy including data poisoning, evasion, model inversion, model extraction, prompt injection, and agent/tool abuse.