Securing Agentic Enterprise
The scenario the publication sketches — two agents chaining data pulls with no human in the loop — is exactly where enterprise AI failures will show up first, so the problem framing feels right. But data lineage only answers half the question: tracing where data came from says nothing about whether the agent was authorized to touch it, or whether the next agent should act on it at all.… more
Permissioning, audit trails and liability assignment are the harder, less glamorous layers that lineage-based tools often gloss over. Worth staying alert that 'securing the agentic enterprise' is also precisely the phrase enterprise security vendors use, and sponsored explainers increasingly dress product pitches in scenario form. In our view, the reader should take the problem seriously while treating the proposed solution as one piece of a much larger governance stack.
Securing the agentic enterprise with data lineage
A sales representative asks an AI agent for customer pricing, and the agent pulls data from multiple sources: restricted pricing systems, internal communications, and archived quotes. The output looks accurate to the agent, so a second agent uses the data to draft the proposal for the sales rep. No…
Source:
MIT Technology Review
Discussion (0)