securing-agentic-ai-tool-invocation

name	securing-agentic-ai-tool-invocation
description	Implements defense-in-depth controls at an AI agent's tool-invocation boundary using tool allowlisting, least-privilege identity binding, NeMo Guardrails policy enforcement, human-in-the-loop approval, and audit logging. Use when hardening an agent that calls tools with real side effects (email, payments, file writes, code execution), mapping OWASP Agentic AI Top 10 controls, or bounding prompt-injection blast radius.
domain	cybersecurity
subdomain	ai-security
tags	["ai-security","agentic-ai","least-privilege","tool-allowlisting","human-in-the-loop","nemo-guardrails","identity-binding","owasp-agentic"]
version	1.0
author	mahipal
license	Apache-2.0
nist_ai_rmf	["GOVERN-1.3"]
atlas_techniques	["AML.T0053"]

Securing Agentic AI Tool Invocation

Authorized-use-only notice: This is a defensive skill. The controls below govern how an AI agent invokes tools/plugins. Deploy them on systems you own or operate. Test guardrail bypasses only against your own agent in a non-production environment.

Overview

Autonomous (agentic) AI systems decide which tool to call, with what arguments, and when, based on model reasoning over untrusted inputs. That makes the tool-invocation boundary the highest-risk control point in an agent: a single successful prompt injection or a poisoned tool can turn the agent into a confused deputy that deletes data, sends money, or pivots into connected systems. The relevant threat is MITRE ATLAS AML.T0053 (LLM Plugin Compromise) and the OWASP Agentic AI Top 10 classes for Tool Misuse, Excessive Agency, and Privilege Compromise.

The defense is layered, defense-in-depth governance of tool calls: (1) a strict allowlist of which tools the agent may call and with which argument shapes; (2) least-privilege identity binding so each tool call runs with scoped, short-lived credentials tied to the acting user/session — not a single god-mode service account; (3) policy enforcement at the call boundary (NVIDIA NeMo Guardrails dialog/flow rails and tool guardrails, or a deterministic policy wrapper); (4) human-in-the-loop (HITL) approval for high-impact actions; and (5) audit logging of every invocation for detection. This skill implements all five with verified, runnable patterns using NeMo Guardrails and a framework-agnostic Python policy wrapper.

When to Use

• When building or hardening an agent that can call tools with real-world side effects (email, payments, file writes, infra changes, code execution).
• When mapping OWASP Agentic AI Top 10 controls onto an existing agent framework.
• When you need to bound the blast radius of prompt injection / tool poisoning.
• When a compliance or governance requirement mandates approvals and audit trails for autonomous actions.
• During an architecture review of an agent's tool layer.

Prerequisites

• Python 3.10+ and a virtual environment.
• An agent/LLM framework you control.
• Install the tooling:

python -m venv .venv && source .venv/bin/activate

# NVIDIA NeMo Guardrails — programmable rails incl. tool/flow controls
pip install nemoguardrails


pip install jsonschema


pip install boto3