Which frameworks does the assessment cover?

Four that matter most: the NIST AI RMF for risk governance, ISO/IEC 42001 for an auditable AI management system, the OWASP Top 10 for LLM applications for application-layer risks like prompt injection and data leakage, and MITRE ATLAS — the adversarial threat landscape for AI systems, often called ATT&CK for AI — for real-world attack techniques. We map your environment to all four in one assessment, and fold in SOC 2 and EU AI Act readiness where they apply.

What do we get at the end of the assessment?

A leadership-ready findings report, an inventory of the AI in use and the data behind it, framework scorecards against NIST AI RMF, ISO 42001, OWASP Top 10 for LLM and MITRE ATLAS, red-team results for any AI features tested, and a prioritized remediation roadmap plus the evidence you can hand to buyers and auditors. No tools to buy, no upsell.

Do you offer AI security services beyond assessment?

Yes. The assessment shows you where you stand; our broader AI security services close the gaps. We build your AI governance program, write the AI policies and technical guardrails your teams actually follow, set up data protection for AI (DLP and sensitive-data controls), run third-party AI vendor risk reviews, threat-model and harden your AI architecture, discover shadow AI, and enable secure AI adoption with training all independent and vendor-neutral.

What is AI governance, and why do we need policies and guardrails?

AI governance is the program roles, accountability, oversight and a lifecycle that keeps AI use safe, compliant and aligned to the business. Policies set the rules for acceptable use; guardrails are the technical controls (access, logging, DLP, input/output filtering) that enforce them. Together they turn "we have AI" into "we govern AI," which is what regulators expect and enterprise buyers ask about in security questionnaires.

Which frameworks does the assessment cover?

Four that matter most: the NIST AI RMF for risk governance, ISO/IEC 42001 for an auditable AI management system, the OWASP Top 10 for LLM applications for application-layer risks like prompt injection and data leakage, and MITRE ATLAS — the adversarial threat landscape for AI systems, often called ATT&CK for AI — for real-world attack techniques. We map your environment to all four in one assessment, and fold in SOC 2 and EU AI Act readiness where they apply.

What do we get at the end of the assessment?

A leadership-ready findings report, an inventory of the AI in use and the data behind it, framework scorecards against NIST AI RMF, ISO 42001, OWASP Top 10 for LLM and MITRE ATLAS, red-team results for any AI features tested, and a prioritized remediation roadmap plus the evidence you can hand to buyers and auditors. No tools to buy, no upsell.

Do you offer AI security services beyond assessment?

Yes. The assessment shows you where you stand; our broader AI security services close the gaps. We build your AI governance program, write the AI policies and technical guardrails your teams actually follow, set up data protection for AI (DLP and sensitive-data controls), run third-party AI vendor risk reviews, threat-model and harden your AI architecture, discover shadow AI, and enable secure AI adoption with training all independent and vendor-neutral.

What is AI governance, and why do we need policies and guardrails?

AI governance is the program roles, accountability, oversight and a lifecycle that keeps AI use safe, compliant and aligned to the business. Policies set the rules for acceptable use; guardrails are the technical controls (access, logging, DLP, input/output filtering) that enforce them. Together they turn "we have AI" into "we govern AI," which is what regulators expect and enterprise buyers ask about in security questionnaires.

// AI SECURITY CONSULTING — LOS ANGELES & NATIONWIDE

AI security consulting & assessments. Measured, not guessed.

We score how your business uses and builds AI against NIST AI RMF, ISO/IEC 42001, the OWASP Top 10 for LLMs and MITRE ATLAS — and hand you a readiness score, a ranked roadmap and the guardrails to act on it.

Call 424-348-3737

Book a Consultation

✓ INDEPENDENT ✓ VENDOR-NEUTRAL ✓ NO PRODUCTS TO SELL

AI RISK CONSOLE

SAMPLE SCORECARD

READINESS

NIST AI RMF

ISO/IEC 42001

OWASP LLM TOP 10

MITRE ATLAS

THREAT WATCH

Prompt Injection

TESTED · OWASP LLM01

Shadow AI

DISCOVERED · MAPPED

Data Poisoning

MODELED · MITRE ATLAS

System Prompt Leakage

TESTED · OWASP LLM07

CREDENTIALS

CISSP

CISM

CRISC

AAISM

// DEFINITION

What is an AI security assessment?

An AI security assessment measures how your organization uses and builds AI against recognized frameworks. It answers two questions: are you ready to adopt AI, and where is your current AI use already exposed? You get a readiness score, framework scorecards, tested findings and a prioritized roadmap — evidence you can show buyers and auditors.

AI security threat map: prompt injection, shadow AI, data poisoning and prompt leakage around a protected AI core

SCOPE A: THE AI YOU USE

ChatGPT, Claude, Gemini, Copilot and shadow AI

Your people already use ChatGPT, Claude, Gemini, Copilot and a dozen other tools. We inventory what's actually in use, map the data flowing into it, and score your governance against NIST AI RMF and ISO/IEC 42001.

SCOPE B: THE AI YOU BUILD

LLM features and AI products

We test your AI against the OWASP Top 10 for LLM Applications and threat-model it with MITRE ATLAS — prompt injection, data poisoning, model abuse — before your customers' security teams do.

// WHY ASSESS NOW

Everyone is buying AI. The value is slow to land. The risk isn't.

SIGNAL_01

Shadow AI you can’t see

Teams adopt AI tools faster than anyone can track — touching your data with no policy, approval or record.

SIGNAL_02

Data & IP leaking out

Customer data, source code and contracts get pasted into public models. Once it’s out, you can’t pull it back.

SIGNAL_03

Prompt injection & abuse

AI features can be manipulated into leaking data or taking unintended actions. Most ship untested.

SIGNAL_04

Buyers demand AI answers

Enterprise security questionnaires now ask how you govern AI. A weak answer stalls the deal.

SIGNAL_05

Compliance is catching up

The EU AI Act, NIST AI RMF and ISO/IEC 42001 are setting expectations fast.

SIGNAL_06

Nobody owns it

IT thinks it’s a business decision; the business thinks it’s IT. Pilots stall and risk goes unmanaged.

// FOUR FRAMEWORKS, ONE ASSESSMENT

The standards we assess you against.

From boardroom governance down to the exact attack an adversary would try.

MODULE_01

NIST AI RMF

GOVERNANCE & RISK

The U.S. baseline regulators and buyers point to.

> Govern: roles & accountability

> Map & Measure: where risk lives

> Manage: prioritize & respond

MODULE_02

ISO/IEC 42001

CERTIFIABLE STANDARD

The first certifiable AI management system standard.

> Gap analysis, clauses 4–10

> Annex A control coverage

> Path to certification

MODULE_03

OWASP Top 10 for LLMs

APPLICATION SECURITY

Your AI features tested against every category.

> Prompt injection

> Sensitive data disclosure

> Excessive agency

MODULE_04

MITRE ATLAS

ADVERSARIAL THREATS

Real attacker tactics against AI and ML systems.

> Evasion & poisoning

> Model extraction & theft

> Coverage gaps by technique

// WHAT YOU WALK AWAY WITH

An assessment you can act on — and show.

No 80-page PDF that sits in a drawer.

OUT_01

● READY

Readiness scorecard

A 0–100 score on use cases, data, ownership and security foundation.

OUT_04

● READY

Ranked use-case shortlist

Each candidate scored on value and feasibility: start, park or drop.

OUT_02

● READY

Framework scorecards

Maturity against NIST AI RMF, ISO/IEC 42001, OWASP and MITRE ATLAS.

OUT_05

● READY

Red-team findings

Adversarial test results, rated by likelihood and business impact.

OUT_03

● READY

AI inventory & data map

What AI is in use, by whom, and the data flowing through it.

OUT_06

● READY

Prioritized roadmap

What to fix first, owners, dependencies and effort.

// HOW IT WORKS

How the AI security assessment works.

PHASE_01

Scope

Map your AI footprint and the frameworks your buyers and regulators care about.

PHASE_02

Assess

Score governance, test against OWASP, threat-model with MITRE ATLAS.

PHASE_03

Report

Scorecards, findings and a risk-ranked roadmap, walked through with your team.

PHASE_04

Remediate

Optional hands-on help to close gaps and re-test.

// FULL AI SECURITY SERVICES

From knowing where you stand to keeping it secure.

FIND THE EXPOSURE

AI Risk Assessment

Your AI use and products scored against all four frameworks.

Shadow AI Discovery

Turn invisible AI usage into a scored inventory you control.

LLM Threat Modeling

Model your AI the way an attacker would, then design the controls.

AI Vendor Risk Reviews

Independent review of AI vendors’ data handling, model risk and contracts.

GOVERN & PROTECT

AI Governance Program

Roles, accountability and oversight mapped to NIST AI RMF and ISO/IEC 42001.

AI Policies & Guardrails

Acceptable-use policies enforced by access, logging and input/output controls.

Data Protection for AI

AI-aware DLP, classification, redaction and retention.

Secure AI Adoption

Approved-tool guidance and hands-on training — not a blanket ban.

// THE DIFFERENCE IT MAKES

Guessing about AI risk vs. measuring it.

METRIC

WITHOUT AN ASSESSMENT

WITH PURPLE SHIELD

Visibility

✕ No idea which tools or data are in use

✓ A scored inventory of AI in use and the data behind it

Benchmark

✕ A vague sense you’re “probably fine”

✓ Maturity scores vs. NIST AI RMF, ISO 42001, OWASP & ATLAS

Product security

✕ AI features shipped without adversarial testing

✓ Tested against the OWASP LLM Top 10 and MITRE ATLAS

Buyer questions

✕ No answer when buyers ask how you manage AI

✓ Evidence and scorecards ready for the questionnaire

Independence

✕ Guided by whichever vendor sells loudest

✓ Vendor-neutral — nothing to sell you

CLIENTS SERVED

200+

INCIDENTS RESPONDED TO

30+

YEARS OF EXPERIENCE

20+

ASSESSMENTS COMPLETED

100+

What Our Clients Say

Trusted by firms who can't afford to get this wrong.

Cameron Eghbali - U.S. Games Dist.

"As a mid-size company, we didn’t have the resources for a full-time CISO. Purple Shield’s vCISO gave us top-tier leadership and a clear roadmap to strengthen our security while scaling our business."

Brian Cohen - Q&A Manufacturing

"We don’t have the budget for a full-time CISO, so having Purple Shield as our vCISO has been a lifesaver. They translated all the security jargon into plain English and gave us a clear plan we could actually follow. I finally feel like we know where we stand and what to do next."

Joe Mobassernia - Mobassernia, P.C.

We were scaling faster than we could keep up with, constantly adding people and systems, and security was the thing nobody owned. We needed someone to just take it off our plate and keep us safe while we grew. Purple Shield stepped in and ran the whole program, set up the right controls, and grew the security side right alongside us.

Questions, Answered

Let's find out where you stand.

Straight answers, no jargon. If yours isn't here, a short call will sort it out.

Book a Consultation

Call (424) 348-3737

Frequently asked questions

01
An AI security assessment is a structured review of how your business uses and builds AI, measured against recognized frameworks — the NIST AI Risk Management Framework, ISO/IEC 42001, the OWASP Top 10 for LLM applications, and MITRE ATLAS (the ATT&CK knowledge base for AI). It maps where AI exposes you, tests your AI features against real attacks, and gives you a ranked roadmap with the evidence buyers and regulators expect.
02
Four that matter most: the NIST AI RMF for risk governance, ISO/IEC 42001 for an auditable AI management system, the OWASP Top 10 for LLM applications for application-layer risks like prompt injection and data leakage, and MITRE ATLAS — the adversarial threat landscape for AI systems, often called ATT&CK for AI — for real-world attack techniques. We map your environment to all four in one assessment, and fold in SOC 2 and EU AI Act readiness where they apply.
03
04
Yes. The assessment shows you where you stand; our broader AI security services close the gaps. We build your AI governance program, write the AI policies and technical guardrails your teams actually follow, set up data protection for AI (DLP and sensitive-data controls), run third-party AI vendor risk reviews, threat-model and harden your AI architecture, discover shadow AI, and enable secure AI adoption with training all independent and vendor-neutral.
05
AI governance is the program roles, accountability, oversight and a lifecycle that keeps AI use safe, compliant and aligned to the business. Policies set the rules for acceptable use; guardrails are the technical controls (access, logging, DLP, input/output filtering) that enforce them. Together they turn "we have AI" into "we govern AI," which is what regulators expect and enterprise buyers ask about in security questionnaires.

Senior security leadership, on demand.

Let's talk about where your business stands today. We'll talk through where your firm is exposed and the first steps that matter most — in plain English, with no sales agenda.

Call (424) 348-3737