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Building Inventory of AI Guardrails to Support Marketing Brand: Ingesting Metadata for Agentic AI Guardrails from Salesforce Agentforce

Sunil Soares, Founder & CEO, YDC March 6, 2025

Building Inventory of AI Guardrails to Support Marketing Brand

An AI leader mentioned this recently, “We are building a number of AI assistants and chatbots. We need a single inventory of AI guardrails that promote our global brand and drive a consistent marketing message.” This blog provides an approach to ingesting metadata for Agentic AI Guardrails from Salesforce Agentforce. Building a single inventory of AI guardrails is the first step to ensuring that AI agents support the global marketing message.


Customer Support Assistant with Salesforce Agentforce

As shown in the screenshot above, the YDC team built a simple McDonalds Support Assistant using Salesforce Agentforce. The assistant is a customer service agent to handle responses to customers looking to place or enquire about orders at McDonald’s. This agent is for illustrative purposes only and was not built for any specific company.


AI Guardrail using Salesforce Agentforce Topics

We created a Competitors Check AI Guardrail using Topics in Salesforce Agentforce. This blocks any responses to prompts that contain any mentions of McDonald’s competitors.



The customer support assistant duly blocked a response to a prompt that mentioned KFC.

AI Guardrail Metadata Ingested in JSON Format into YDC_AIGOV

The AI Guardrail metadata was ingested into YDC_AIGOV. This metadata includes description, agent name, provider name, language, topic type, and topic scope.


This agentic metadata can now be ingested into AI Governance platforms such as Collibra AI Governance and Atlan.

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Fairness & Accessibility

Component

Component ID: 5.0

Mitigate bias and manage AI accessibility.

List of Controls:

  • Bias
  • Accessibility
Mitigate Bias
Control
View Details
ID: 5.1

Ensure that AI systems are fair and manage harmful bias.
Component
Sub-Control
Regulation
  
Source
Address Fairness and Accessibility EU AI Act -Article 10(2)(f)(g) – Data and Data Governance (“Examination of Possible Biases”)

Vendors

Detect Data Poisoning Attacks
Control

View Details

ID: 10.4.1

Data poisoning involves the deliberate and malicious contamination of data to compromise the performance of AI and machine learning systems.

Component
Control
Regulation
Source
10. Improve Security10.4 Avoid Data and Model Poisoning AttacksEU AI Act: Article 15 – Accuracy, Robustness and Cybersecurity 

Vendors

Improve Security
Component

Component ID: 10

Address emerging attack vectors impacting availability, integrity, abuse, and privacy.  

List of Controls:

  • Prevent Direct Prompt Injection Including Jailbreak
  • Avoid Indirect Prompt Injection
  • Avoid Availability Poisoning
    • Manage Increased Computation Attack
    • Detect Denial of Service (DoS) Attacks
    • Prevent Energy-Latency Attacks
  • Avoid Data and Model Poisoning Attacks
    • Detect Data Poisoning Attacks
    • Avoid Targeted Poisoning Attacks
    • Avoid Backdoor Poisoning Attacks
    • Prevent Model Poisoning Attacks
  • Support Data and Model Privacy
    • Prevent Data Reconstruction Attacks
    • Prevent Membership Inference Attacks
    • Avoid Data Extraction Attacks
    • Avoid Model Extraction Attacks
    • Prevent Property Inference Attacks
    • Prevent Prompt Extraction Attacks
  • Manage Abuse Violations
    • Detect White-Box Evasion Attacks
    • Detect Black-Box Evasion Attacks
    • Mitigate Transferability of Attacks
  • Misuse of AI Agents
    • Prevent AI-Powered Spear-Phishing at Scale
    • Prevent AI-Assisted Software Vulnerability Discovery
    • Prevent Malicious Code Generation
    • Identify Harmful Content Generation at Scale
    • Detect Non-Consensual Content
    • Detect Fraudulent Services
    • Prevent Delegation of Decision-Making Authority to Malicious Actors

Identify Executive Sponsor

View Details

ID : 1.1 

Appoint an executive who will be accountable for the overall success of the program.

ComponentRegulationVendors
1. Establish Accountability for AIEU AI Act 
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