Forty percent of organizations plan to demote or decommission AI agents after encountering governance problems. AI agents use LLMs to interpret natural-language requests and then interact with and update application data. Large vendors have promoted AI agents for business automation, including concepts focused on anchoring agents in business processes, data, governance, and compliance. Gartner warns that governance systems applied uniformly across all agents can fail because agents operate at different autonomy levels and across different trust boundaries. Treating governance as binary can cause two failure modes: over-restricting simple agents, which slows delivery and drives shadow development, or under-restricting autonomous agents, which increases operational, security, and compliance risk.
"Forty percent of organizations are set to demote or decommission AI agents as they hit problems with governing the heavily hyped technology. Or so says Gartner, which reckons that creating a uniform governance system for all AI agents without considering their level of autonomy or scope can lead to a failure of the approach to business automation."
"AI agents make calls to LLMs to understand user requests or instructions in natural language and then interact with and update application data. The technology has been hyped by application giants including SAP, Oracle, Workday and Salesforce over the last year."
""Organizations are treating AI agent governance as binary, either locked down or fully trusted, and that is the root cause of failure," said Shiva Varma, Senior Director Analyst at Gartner. "Agents operate at different autonomy levels and across different trust boundaries. When the same controls are applied indiscriminately, organizations encounter two common failure modes: over-restriction of simple agents, which slows delivery and drives shadow development, or under-restriction of more autonomous agents, which increases operational, security and compliance risk.""
"SAP, for example, recently launched its Autonomous Enterprise concept for the future of its business applications. CEO Christian Klein promised it could "anchor AI agents in the business processes, data and governance so they can deliver accurate, compliant and secure outcomes, unlocking new sources of revenue and meaningful cost savings.""
Read at theregister
Unable to calculate read time
Collection
[
|
...
]