The Context OS for Agentic Intelligence
Enterprises should buy context infrastructure to deploy governed AI faster, reduce risk, and focus on differentiated applications.
Context engineering builds governed infrastructure that controls AI knowledge, enforces policy, and enables safe autonomous decision-making.
Context and Control define how enterprise AI makes safe, authorized decisions by combining understanding with enforceable governance.
The tool scaling trap explains why adding integrations breaks agents, increasing risk without governance for AI systems.
Context Rot quietly corrupts AI decisions when outdated enterprise information remains trusted, retrieved, and executed without validation.