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Enterprise AI Agent Observability With Luna & Splunk
AI agents deployed in enterprise environments behave non-deterministically. Without explicit evaluation criteria and continuous guardrailing, they routinely produce outcomes that diverge from intent, whether through hallucination, misrouted actions, or compromised behavior that is indistinguishable from a security incident. Using a frontier large language model to judge agent behavior compounds the problem: it is prohibitively expensive at scale…
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Enterprise AI Agent Observability With Luna & Splunk
AI agents deployed in enterprise environments behave non-deterministically. Without explicit evaluation criteria and continuous guardrailing, they routinely produce outcomes that diverge from intent, whether through hallucination, misrouted actions, or compromised behavior that is indistinguishable from a security incident. Using a frontier large language model to judge agent behavior compounds the problem: it is prohibitively expensive at scale…
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