Rubrik SAGE: Semantic Agent Control That Scales for the Enterprise
Rubrik, March 25,2026
Most enterprise governance systems were designed for a world where software behaves predictably. You write a rule. The system follows it. If the input matches the pattern and the rule fires. This worked for decades because traditional software is deterministic-the same input always produces the same output.
AI agents shattered that assumption. And the governance systems designed for the old world are already failing in the new one.
Static rule engines, prompt filters, and manual review processes suffer from a fundamental limitation: they can't understand intent. They can't interpret context. And they can't keep pace with agents that generate thousands of semantically unique interactions per hour.