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YDC_AIGOV Agentic AI Governance Playbook – Ingesting LangGraph AI Hiring Agent & EU High Risk Rating into Collibra

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

Agentic AI Governance Playbook

The YDC team used the YDC_AIGOV Agents to ingest the metadata from LangGraph AI Agents into Collibra AI Governance. We also used the YDC_AIGOV Agents to automatically assign an EU AI Act risk rating for each agent as well. This “playbook” automated the Agentic AI Governance process via integrations and agents.


LangGraph Agents

LangGraph, created by LangChain, is an open source AI agent framework designed to build, deploy, and manage complex generative AI agent workflows. 


As shown in the screenshot above, we developed a very simple YDC Hiring Agent to automate the recruitment process. The agent included very simple instructions focused on Python or Java skills.


The screenshot below shows the agent responses at various nodes in LangGraph Studio. Because the applicant was a Python developer, the agent responded that the candidate was selected for further steps.


LangGraph Agentic Metadata Ingested into Collibra

LangGraph also includes additional configuration parameters such as model name, temperature, description, top_p, and max_tokens.



The YDC team ingested this metadata into Collibra AI Governance.


YDC_AIGOV EU AI Act Risk Classification Agent Automatically Scores the LangGraph Agent and Send the Results to Collibra AI Governance

The YDC_AIGOV EU AI Act Risk Classification Agent received the agentic metadata to automatically score the agent. The screenshot below showcases the YDC_AIGOV agent UI in Hugging Face (we called this agent via the Hugging Face API).



Based on the agentic metadata, YDC_AIGOV classified the YDC Hiring Agent as High Risk based on Article 6 of the EU AI Act – Employment, Workers’ Management and Access to Self-Employment.


This YDC_AIGOV Agentic AI Governance Playbook combined integrations with agentic auto-classifications to reduce the need for manual AI Governance interventions in Collibra.

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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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