Analysis · curated 31 Jul 2026
Agentic AI Security - Best Practices for Enterprise Teams | Fidelis Security
First reported · updated · 4 reports salt.security
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Why it matters
Agentic AI systems combine broad data access, untrusted input, and external communication in ways existing security frameworks were not designed for, so defenders need a clear map of these risk classes and controls to keep autonomous agents under human oversight.
An explainer on securing agentic AI in the enterprise outlines risks unique to autonomous agents, including unrestricted API/tool access, indirect prompt injection and workflow hijacking via RAG pipelines, data exfiltration, privilege escalation, and supply-chain attacks through misconfigured Model Context Protocol (MCP) servers, alongside best-practice mitigations.