AI governance shifts to runtime as always-on agents spread
As enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. Autonomous agents now run around the clock across a sprawl of platforms, and controls built for deterministic software were never designed for them. At Dell Technologies Inc.’s “AI Leadership Symposium,” cost and control were recurring themes in enterprise […] The post…
As AI adoption accelerates in enterprises, the challenge of governing these autonomous agents has become increasingly complex. At Dell Technologies’ AI Leadership Symposium, executives from Singulr AI, Sycamore Labs and MisaLabs discussed the difficulties of keeping pace with the rapid proliferation of AI agents and the need for standardized governance frameworks.
While defining an agent's permissible actions is a crucial aspect of governance, assessing an agent's behavior during execution is equally important. Singulr AI has expanded its agent governance to include local AI tools on employee endpoints, monitoring actions such as internet data retrieval or email sending. Some companies are responding by restricting agent operations to their virtual private clouds, as chief information officers seek to retain control over data.
Singulr AI CEO Shiv Agarwal emphasized the need for standardized AI governance frameworks like the EU's AI Act, while MisaLabs co-founder Victor Jakubiuk stressed the necessity of keeping up with the rapid pace of AI development.
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