Analysis · curated 27 Jul 2026
Managing Excessive Agency Risks in Enterprise AI Systems | Intecracy Group
First reported intecracy.com
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Single-source analysis — first reported, latest, and curated coincide.
Why it matters
Excessive Agency in enterprise AI agents can expose corporate databases and initiate unauthorized transactions, and defenders need architectural controls beyond traditional access management to constrain autonomous agents.
An explainer from Intecracy Group discusses 'Excessive Agency' as an OWASP LLM/GenAI risk class, describing how autonomous enterprise AI agents granted overly broad API scopes, functionality, or autonomy create attack surfaces that traditional RBAC and firewalls cannot mitigate. The piece maps threats through MITRE ATLAS and NIST AI RMF, citing indirect prompt injection and proposing architectural constraints such as row-level security and platform-level sandboxing.