.docx ✓ Professional Edition Updated Q2 2026

AI Security Policy

Cybersecurity, data protection, and vulnerability management controls purpose-built for AI systems. Maps every security control to EU AI Act, NIST AI RMF, ISO 42001, and ISO 27001. With risk classification, agentic AI boundary controls, bias-as-attack-vector analysis, and a shared responsibility model.

14+2

Sections

Pages

Frameworks

1–2d

To Deploy

EU AI Act 2024 NIST AI RMF 1.0 NIST SP 1270 ISO 42001:2023 ISO 27001:2022

Build vs. Buy

From scratch

Research 5 frameworks8 hrs = $120

Draft 26 pages10 hrs = $150

Internal review cycle4 hrs = $60

Cross-mapping 5 frameworks4 hrs = $60

20 hours$300

This template

Purchase$15.00

Customize for your org3 hrs = $45

CitationsIncluded

CrosswalkIncluded

3 hours$60

$240 saved

17 hours back | 16:1 ROI on $15.00

At $15/hr. The price of this template as the hourly rate

“What if I use AI to write it?”

AI makes drafting faster, but it doesn’t reduce the total work. You still need the source framework documents, a way to verify what the AI produces, and SME-level expertise to catch what it gets wrong. AI hallucinates article numbers, invents control IDs, and generates crosswalk tables that look authoritative but aren’t. Every citation still has to be checked against the actual standard. The work shifts from writing to verification, and verification takes just as long.

~20hwith AI + expert verification

3hwith this template

170+citations verified

5source PDFs read

$15.00

One-time purchase · Instant download

✓14 numbered sections + 2 appendices with RACI Matrix & 22 KPIs
✓EU AI Act risk classification with Annex III categories
✓Agentic AI controls, bias-as-attack-vector, conformity assessment
✓CSA Shared Responsibility Model + 5-framework crosswalk
✓170+ framework citations verified across 5 standards
✓Quick Start guide with implementation priority sequencing

.docx NIST AI RMF EU AI Act ISO 42001 ISO 27001 ✦ Q2 2026

Overview

What this template does

1 / 10

Click image or thumbnail to browse · 14 of 26 pages shown

AI systems create attack surfaces that traditional security policies don’t cover. Model poisoning, adversarial inputs, bias as a security attack vector, supply chain vulnerabilities in pre-trained models, and agentic AI autonomy risks all require purpose-built controls. Without a dedicated AI security policy, your organization faces exposure to threats that generic IT security documentation was never designed to address.

This template provides 14 governance sections covering risk classification, data security, model security, vulnerability management, agentic AI controls, human oversight with three tiered levels, incident response, conformity assessment, and compliance monitoring. All mapped to five frameworks: EU AI Act 2024, NIST AI RMF 1.0, NIST SP 1270, ISO/IEC 42001:2023, and ISO/IEC 27001:2022. Every control traces back to a specific framework requirement with 170+ verified citations.

The Professional Edition includes a Quick Start guide with implementation priority sequencing, EU AI Act Annex III risk classification with all 8 high-risk categories, a RACI matrix, 22 evaluation metrics with target guidance, a 5-framework crosswalk, and a Related Documents section identifying companion policies needed for full AIMS coverage. These are the sections auditors ask for when assessing AI security governance maturity.

What’s Inside

14 Sections + 2 Appendices · 26 Pages · Audit-Aligned Structure

Establishes policy boundaries, applicability to all AI systems, and measurable security objectives. Includes an explicit scope boundary statement identifying this as a security-focused policy and listing companion documents needed for full AIMS coverage.

ISO 42001 §4ISO 27001 §4

Maps regulatory obligations from EU AI Act, NIST AI RMF, ISO 42001, and ISO 27001 to security controls. Includes penalty amounts (EUR 15M / 3% turnover) for non-compliance. Establishes the legal foundation for every technical requirement in the policy.

EU AI Act Art. 99NIST GOVERN

EU AI Act Annex III risk classification with all 8 high-risk categories in plain language. Includes derogation conditions for low-impact systems, GPAI systemic risk thresholds (10^25 FLOPs), and a classification-to-control mapping table. Solves the “where do I start” problem.

EU AI Act Art. 6EU AI Act Annex IIIISO 42001 A.6.1

Defines governance roles including CISO, AI Security Lead, and Data Protection Officer. Integrates the CSA Shared Responsibility Model for cloud-hosted AI, establishing clear accountability boundaries between the organization and cloud service providers.

NIST GOVERN 1.1ISO 42001 §5CSA

Covers data authenticity, consent management, anonymization, pseudonymization, minimization, access controls, and secure storage. Includes a dedicated bias-as-attack-vector subsection addressing adversarial bias injection, computational/human/systemic bias monitoring (NIST SP 1270), and special category data controls under EU AI Act Art. 10(5).

EU AI Act Art. 10ISO 27001 A.8NIST SP 1270

Addresses model integrity verification, adversarial robustness testing, poisoning detection, and secure model storage. Covers access controls, secure runtime environments, MLOps pipeline security, AI model governance, and secure deployment/decommissioning procedures.

EU AI Act Art. 15NIST MEASURE 2.6ISO 42001 §8

AI-specific vulnerability scanning, patch management, and threat intelligence. Covers asset inventory, continuous scanning, remediation SLAs, red teaming and adversarial testing, and AI Bill of Materials (AIBOM) for supply chain risk management.

ISO 27001 A.8.8NIST MANAGENIST GOVERN 1.6

Purpose-built controls for autonomous agents: action-space bounding, human oversight triggers, decision boundary enforcement, and escalation protocols. Defines when and how autonomous systems must defer to human judgment.

EU AI Act Art. 14NIST MANAGE 4.1

Three-tiered oversight model: Level 1 (Monitoring), Level 2 (Intervention), Level 3 (Control). Includes oversight training requirements, annual competency assessments, and a documented authority matrix defining decision-making powers at each level.

EU AI Act Art. 14ISO 42001 Cl. 7.2ISO 42001 A.9.2

AI-specific incident classification with graduated EU AI Act reporting timelines: 15-day standard, 2-day for widespread infringement, 10-day for death. Covers model drift events, adversarial attacks, data poisoning, and supply chain compromises.

EU AI Act Art. 73ISO 27001 A.5.24-28

Internal audit schedules, external assessment requirements, and EU AI Act conformity assessment procedures. Covers internal control (Annex VI) vs. notified body (Annex VII) pathways, substantial modification triggers, and 4-year certificate validity tracking.

EU AI Act Art. 43ISO 42001 §9ISO 27001 §9

Graduated enforcement actions proportionate to violation severity. Includes a centralized exception register with quarterly CISO review, annual policy review cadence, and a Related Documents section identifying 6 companion policies for full AIMS coverage.

ISO 42001 Cl. 10ISO 27001 A.5.4

Maps every policy section to specific EU AI Act articles, ISO 42001 clauses/Annex A controls, NIST AI RMF functions, CSA responsibilities, and ISO 27001 controls. Rows ordered by section sequence for easy traceability during audits.

Multi-framework5 standards

9 source standards with document identifiers and publication dates. 17 defined terms including adversarial bias injection, AIBOM, conformity assessment, GPAI model, risk classification, and systemic risk.

Pre-built version control and sign-off tables. Configured for multi-stakeholder approval: CISO, AI Governance Lead, Legal, and compliance stakeholders.

Document ControlAudit Evidence

Three responsibility matrices covering Data Security, Model Security, and Vulnerability Management. 17 responsibility rows mapping CISO, CDO, CTO, AI Security Lead, and Data Governance Board to Responsible, Accountable, Consulted, and Informed roles.

ISO 42001 §5.3

22 quantitative KPIs covering data security, model security, vulnerability management, risk classification, bias monitoring, conformity assessment, and oversight training. Includes target guidance with recommended ranges by risk level (80-100% high-risk, 60-80% limited, 50%+ minimal).

NIST MEASUREISO 42001 Cl. 6.2ISO 27001 §9.1

Audience

Who deploys this template

🛡️

CISO / Security Lead

Owns the policy lifecycle. Uses this as the foundational document for AI security governance, assigns control ownership, and presents to the board.

⚖️

Compliance Officer

Maps security controls to regulatory requirements. Uses the framework crosswalk to demonstrate audit-aligned coverage across EU AI Act and ISO standards.

🤖

AI/ML Engineering Lead

Implements technical controls: adversarial testing, model integrity checks, data pipeline security. References the agentic AI section for autonomous system boundaries.

📋

Risk Manager

Integrates AI security risks into enterprise risk management. Uses the evaluation criteria to establish security KPIs and monitoring thresholds.

Framework Alignment

How this template maps to standards

EU AI Act 2024

Art. 6 risk classification, Art. 10 data governance, Art. 14 human oversight, Art. 15 cybersecurity, Art. 43 conformity assessment, Art. 73 incident reporting. 60+ article-level citations verified against the regulation text.

Art. 6Art. 10Art. 14Art. 15Art. 43Art. 73Annex III

NIST

NIST AI RMF 1.0

GOVERN function for security governance, MAP for threat identification, MEASURE for testing, MANAGE for incident response. All four core functions addressed.

GOVERN 1.1MAP 3.4MEASURE 2.6MANAGE 4.1

42001

ISO/IEC 42001:2023

Clause 6 planning, Clause 7.2 competence, Clause 8 operation, Clause 9 monitoring, Clause 10 improvement. Annex A controls: A.6.1 policy, A.7.x data, A.9.x responsible use.

Cl. 6.1Cl. 7.2Cl. 8.2Cl. 9.1A.6.1A.9.2

ISO

ISO/IEC 27001:2022

Annex A controls: A.5.24-28 incident management, A.8 technology controls, A.8.8 vulnerability management. Directly supports ISMS documentation requirements.

A.5.4A.5.24A.8A.8.8

Value Proposition

Build from scratch vs. use this template

✓ With This Template

✓EU AI Act risk classification with all 8 Annex III categories already mapped. Classify your AI systems in minutes, not days.

✓170+ framework citations verified across 5 standards. Article numbers and paragraph-level specificity, not AI-generated approximations.

✓Three-tiered human oversight model with training requirements and competency assessments. Ready to assign roles and implement.

✓Conformity assessment procedures covering internal control and notified body pathways. Certificate tracking included.

✓Bias-as-attack-vector analysis grounded in NIST SP 1270. Adversarial bias injection, monitoring protocols, special category data controls.

✓5-framework crosswalk with implementation priority guidance. Quick Start tells you exactly where to begin and in what order.

✗ From Scratch

✗Reading EU AI Act Annex III and translating 8 high-risk categories into plain-language classifications your team can apply. Most orgs misclassify systems because they skip this step.

✗Verifying 170+ citations across 5 frameworks means reading every source standard. AI tools generate plausible but often wrong article numbers for security requirements.

✗Designing a three-tiered oversight model means synthesizing EU AI Act Art. 14, ISO 42001 Clause 7.2, and your org’s operational reality. Then writing training requirements and competency assessments for each level.

✗EU AI Act conformity assessment has two pathways (internal control vs. notified body) with different requirements. Understanding which applies to your systems requires reading Art. 43 and Annexes VI/VII.

✗Bias as a security attack vector is an emerging domain. Synthesizing NIST SP 1270’s bias taxonomy with EU AI Act Art. 10 data requirements requires specialist knowledge.

✗Cross-mapping 5 frameworks takes 20+ hours of standards comparison. Getting the ISO 27001 ↔ ISO 42001 ↔ EU AI Act alignment right is particularly complex.

Already have an AI security policy? Use this template to validate your controls against current framework requirements and add agentic AI governance controls.

“Why is this only $15?”

I’ve been building governance documentation since 2012. That year I helped my healthcare analytics company earn its first HITRUST certification. Since then I’ve created and managed compliance documentation for SOC 2, PCI DSS, HITRUST, and ISO 27001 programs across enterprise organizations. I have a writing degree and I genuinely like this work.

HITRUST CSF SOC 2 PCI DSS ISO 27001 14 Years in GRC Writing Degree

Credentials don’t explain the price though. This does:

I want AI adopted responsibly. I don’t want my friends, my family, or my kids dealing with threats and risks that come from deploying AI without governance. Organizations will take the path that earns them the most money. That’s how business works. So I feel obligated to put quality documentation out at a price where governance isn’t something only Fortune 500 companies can afford. I don’t need to charge thousands of dollars to make a difference. I care about helping where I can.

You’re building something that matters. Documentation that earns trust from your board, your customers, and your team. And it has to be right.

The citations in these templates were checked against the published standards. The actual ISO 42001:2023 PDF, the EU AI Act regulation text, the NIST AI RMF 1.0 document. Control IDs, article numbers, crosswalk mappings. This is practitioner-built documentation from someone who’s sat in the audits, written the remediation plans, and knows what survives a compliance review.

Derrick Jackson // Founder, Tech Jacks Solutions

Related Templates

Often bought together

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Important

This template is a starting point, not a finished product. It’s designed to accelerate your governance program by giving you a professionally structured foundation with verified framework citations. It doesn’t replace legal counsel, compliance review, or organizational judgment. Every organization is different. You’ll need to customize the security controls, shared responsibility boundaries, and incident response procedures for your specific technology stack, regulatory environment, and threat model. We recommend routing your completed policy through your legal, compliance, and governance teams before adoption. What you’re buying is a jumpstart that saves you weeks of research and drafting, not a guarantee of compliance. Framework citations reflect regulations as of Q2 2026. Regulatory frameworks evolve. Check for updates to the EU AI Act, ISO 42001, and NIST AI RMF before your annual policy review. Single organization license. All purchases include a 14-day money-back guarantee. If the template does not meet your needs, contact us for a full refund.