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A. Solanke

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Open access Oct 2026

ZERO TRUST FOR MCP-CONNECTED ENTERPRISE AI AGENTS

Enterprise AI agents now read tickets, documents, and web pages and then act on what they find through tool protocols such as the Model Context Protocol (MCP). Because an agent combines untrusted input with delegated privileges, it creates a path from attacker-influenced content to privileged action that earlier Zero T...

A. Solanke · 0 citations
Open access Oct 2026

FROM AIOPS TO AGENTOPS: SERVICE-LEVEL OBJECTIVES AND ERROR-BUDGET-GOVERNED AUTONOMY FOR PRODUCTION AI AGENTS

Large language model (LLM) agents now run production workflows, including IT and network operations, yet they are usually monitored with signals designed for deterministic services: availability, latency, and error rate. An agent can satisfy all three while completing the wrong task. This paper extends AIOps-style serv...

A. Solanke · 0 citations

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