AI Risk Governance (AGRITM)

Enterprise AI Risk Quantification & Regulatory Readiness

Quantify. Govern. Defend.

Powered by the AI Governance Risk IndexTM (AGRITM)

AI adoption is accelerating. Regulatory expectations are rising. Most organizations cannot clearly quantify their AI governance posture — or defend it under scrutiny.

ThreatLenz delivers structured AI risk quantification and regulatory readiness assessments designed for regulated enterprises operating in high-impact environments.

The Problem

Boards and regulators are asking:

What AI systems are in production?
Where is our regulatory exposure?
Are we operating high-risk systems under the EU AI Act?
Can we demonstrate measurable governance maturity?
Who owns AI risk accountability?

Most organizations do not have quantified answers.

AI risk is not traditional cybersecurity risk.
It introduces enterprise-level exposure across decision integrity, data governance, vendor concentration, and regulatory accountability.

Without structured oversight, AI becomes board-level liability.

Why AI Risk Requires Dedicated Oversight

AI risk is not traditional cybersecurity risk.

It introduces enterprise-level exposure across:

Model bias and unintended decision impact
Data leakage through LLM interaction
Prompt injection and model misuse
Lack of explainability and audit traceability
Model drift and validation breakdown
Third-party AI vendor exposure
EU AI Act high-risk system obligations
Emerging U.S. enforcement and supervisory expectations

Without structured governance, AI exposure becomes:

Enterprise risk.
Regulatory risk.
Board-level accountability risk.
The ThreatLenz Approach

AI Governance Risk IndexTM (AGRITM)

AGRITM is a proprietary, security-led AI risk quantification model aligned to:

NIST AI RMF (Govern, Map, Measure, Manage)
EU AI Act risk-based classification framework
ISO/IEC 42001 management system principles

AGRITM converts governance posture into normalized, board-ready risk indicators — enabling measurable oversight instead of subjective assessment.

This is not documentation work. This is governance clarity.

Our Engagement Focus

In 3–6 weeks, we deliver quantified AI governance clarity.

Enterprise AI Visibility

Complete identification and classification of AI systems and decision-impact exposure.

Quantified Governance Posture

Measurement of control robustness and residual risk using the AI Governance Risk IndexTM(AGRITM).

Regulatory Exposure Intelligence

Clear mapping of obligations and enforcement risk aligned to NIST AI RMF and EU AI Act.

Governance Architecture & Board Assurance

Defined accountability structures, escalation pathways, and executive-ready reporting
models.

We do not produce generic compliance artifacts.

We deliver defensible, board-ready AI risk intelligence.

What You Receive

Enterprise AI Inventory & Risk Tiering Matrix
AI Governance Risk IndexTM (AGRITM) Enterprise Score
Regulatory Exposure & Readiness Report
Residual AI Risk Profile
Remediation Priority Index
Governance & Oversight Blueprint
Board-Ready AI Risk Briefing Deck

Clear. Measurable. Defensible.

Who This Is For

Regulated enterprises deploying AI in decision-critical functions
Financial services, healthcare, utilities, infrastructure
CIOs, CISOs, Chief Compliance Officers and Chief Risk Officers under supervisory scrutiny
Boards requiring AI risk quantification

Engagement Outcomes

Enterprise-wide AI visibility

Quantified governance maturity (AGRITM score)

Regulatory defensibility roadmap

Defined accountability model

Structured escalation framework

Board-level risk assurance documentation

AI governance without quantification is assumption.

Quantify your AI risk posture before it is tested externally.