The bigger problem is context: models haven't been in every meeting, don't understand how decisions actually get made, and lack the institutional knowledge that experienced employees accumulate over years.
Organizations should not have to surrender control of their code, data, and engineering workflows to use capable AI. They should be able to run and adapt these tools on their own terms.
Emilio shares how Datadog uses role-based MCP servers and ephemeral credentials, as well as an AI "judge" built by his security team to evaluate the intent behind code and agent skills before they enter the environment.
2mo ago
Underscored — save the words that stop you in your tracks.
