Topic
Insights and notes grouped by this theme.
Why enterprise agents need working memory, semantic memory, procedural memory, and episodic memory
A semantic layer helps AI understand business meaning. But useful enterprise agents need more than meaning. They need memory, procedures, governance, tool access, and a record of what has worked before.
Agentic AI is powerful because it can act. That is also why it needs real controls.
AI agents are moving from demos into production workflows. Once they call APIs, write records, and trigger business processes, they become part of the control plane.
The uncomfortable part is simple: language has become an attack surface.
Prompt injection works because large language models do not reliably separate instructions from data. Once a model can use tools, retrieve documents, or act on systems, that weakness becomes an enterprise security problem.
