AI Readiness & Security Assessment — know what your business can actually run and where it's already exposed, before either one costs you.
Purple Shield scores your organization on the four things that decide whether AI works: use cases, data, decision ownership, and security foundation, and measures how you use and build AI against the frameworks buyers and regulators trust: NIST AI RMF, ISO/IEC 42001, the OWASP Top 10, and MITRE ATLAS. You get a readiness score, a ranked shortlist of what to build first, and a phased roadmap. From there we build and defend the program: policy, guardrails, oversight, data protection, third party AI risk, secure architecture, and training that makes adoption stick.
Independent
Vendor neutral
No products to sell
CREDENTIALS BEHIND THE ADVICE
CISSP
CISM
CRISC
AAISM
AI Security Assessment, Explained
What is an AI readiness and security assessment?
An AI readiness and security assessment answers two questions in one engagement.
Readiness: can your organization adopt AI successfully, and what has to be true first use cases, data, accountability, and whether your security and compliance foundation can carry it.
Security: where your current AI use and development is exposed, measured against recognized frameworks. You end up with a score, a prioritized shortlist, a roadmap, and proof for buyers and auditors. Not a pitch.
The AI you use
Your people already use ChatGPT, Copilot and a dozen other tools. We inventory what's actually in use, map the data flowing into it, and score your governance against the NIST AI RMF and ISO/IEC 42001, so the productivity gains don't come at the cost of leaked data, IP, or compliance.
The AI you build
If you build AI into your product, we test it against the OWASP Top 10 for LLM applications and threat model it with MITRE ATLAS, prompt injection, data poisoning, model abuse, then show you exactly where to harden it before your customers' security teams do.
Why frameworks? Because "trust us, it's fine" no longer wins deals. Mapping your AI to the NIST AI RMF, ISO/IEC 42001, the OWASP Top 10 for LLM applications, and MITRE ATLAS turns a vague worry into a measured score, a ranked roadmap, and evidence you can put in front of an enterprise buyer or an auditor.
Four Frameworks, One Assessment
The standards we assess you against.
Each framework answers a different question about your AI. Together they give you a complete, defensible picture from boardroom governance down to the exact attack an adversary would try.
01
Governance & risk · the regulator baseline
The voluntary framework U.S. regulators and enterprise buyers increasingly point to. We assess your program across its four core functions and give you a maturity score per function.
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Govern— roles, accountability and AI risk culture
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Map— context and where AI risk actually lives
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Measure— how you analyze and track AI risk
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Manage— prioritizing and responding to it
02
Certifiable management standard · the buyer's proof
The first certifiable AI management system standard. We run a readiness assessment against its clauses and Annex A controls, so you know the gap between where you are and a certifiable AIMS.
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Gap analysis against clauses 4–10
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Annex A control coverage review
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AI policy, roles and lifecycle evidence
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A staged path to certification readiness
03
Application security · for the AI you build
The definitive list of critical risks in apps built on large language models. We test your AI features against every category and rate each by likelihood and impact.
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Prompt injection & insecure output handling
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Sensitive information disclosure
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Training-data & supply-chain poisoning
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Excessive agency, overreliance & model theft
04
Adversarial threat modeling · the attacker's view
MITRE's ATT&CK-style knowledge base of real tactics and techniques used to attack AI and ML systems. We map your AI against it so your defenses are tested against attacks seen in the wild not a generic checklist.
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Reconnaissance & model access mapping
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Evasion, poisoning & inference attacks
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Model extraction & theft scenarios
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Technique-by-technique coverage gaps
What You Walk Away With
An assessment you can act on and show.
No 80 page PDF that sits in a drawer. You get a clear picture of where you stand, what to do next, and the evidence to put in front of the people who ask.
Readiness scorecard
A 0–100 score on each of the four pillars, with the specific evidence behind every number.
Framework scorecards
A maturity score against NIST AI RMF, ISO 42001, OWASP LLM Top 10 and MITRE ATLAS at a glance.
Ranked use-case shortlist
Every candidate scored on value and feasibility, with a start, park or drop recommendation.
AI inventory & data map
What AI is actually in use, who uses it, the data flowing through it, and shadow AI included.
Governance gap analysis
Where you stand against the NIST AI RMF and ISO/IEC 42001, and what closing each gap involves.
Red-team findings
Results of adversarial testing on your AI features, each rated by likelihood and business impact.
Phased roadmap
A sequenced plan with owners, dependencies and the order that keeps you from building on top of something broken.
Ranked roadmap
A prioritized fix list, what to remediate first, what it protects, and the effort it takes.
Why Assess Now
Everyone is buying AI. The value is slow to land. The risk isn't.
The gap isn't between companies that adopted AI and companies that didn't. It's between companies that prepared for it and companies that bought a license and hoped. AI is already in your business either way, approved or not, and until you measure it against a real standard the exposure stays invisible, until data leaks, a customer asks how you govern it, or a regulation catches up. An assessment puts hard numbers on it first.
Pilots that never ship
A proof of concept that impressed everyone in the demo and then sat in staging for two quarters. Usually the problem was never technical.
Shadow AI you can't see
Employees adopt AI tools faster than anyone can track. Ungoverned apps touch your data with no policy, no approval, and no record of where it goes.
Compliance is catching up
The EU AI Act, NIST AI RMF and ISO 42001 are setting expectations fast. "We don't have a policy" is no longer an acceptable answer.
Data that isn't ready
The model is fine. The data is duplicated, unlabeled, half-owned by a team that left, and nobody can say who's allowed to use it.
Data & IP leaking
Customer data, source code and contracts get pasted into public models and may train them. Once it's out, you can't pull it back.
Buyers demand AI answers
Enterprise customers now ask how you govern AI and protect their data in security questionnaires. A weak answer stalls the deal.
Nobody owns it
IT thinks it's a business decision. The business thinks it's an IT project. Legal finds out in month four. Nothing moves.
Prompt injection & abuse
AI features can be manipulated into leaking data, taking unintended actions, or producing harmful output. Most teams ship them without testing for it.
Ungoverned output
Hallucinations, bias and unvetted automation can drive bad decisions or wrong customer answers with real legal and reputational fallout.
Full AI Security Services
From knowing where you stand to keeping it secure.
The assessment is the front door. Beyond it sits a complete set of AI security services grouped into the work that finds your exposure, and the work that governs and protects against it.
AI Risk & Assessment
Your AI use and AI products scored against all four frameworks (NIST AI RMF · ISO 42001 · OWASP LLM · MITRE ATLAS), with a maturity rating and a ranked roadmap of the gaps that matter most.
Shadow AI Discovery
We surface the AI tools your teams already use, map the data flowing into each, and turn invisible, ungoverned usage into a scored inventory you control.
LLM Threat Modeling
We threat-model your AI the way an attacker would prompt injection, data poisoning, model abuse and design the architecture and controls to shut it down.
AI Vendor Risk Reviews
Independent reviews of the AI vendors and embedded AI features in your stack data handling, model risk and contracts so a supplier's AI isn't your blind spot.
AI Governance Program
The roles, accountability and oversight that turn ad-hoc AI use into a governed program mapped to NIST AI RMF and ISO 42001, ready for buyers and auditors.
AI Policies & Guardrails
Clear acceptable-use policies your teams will actually follow, plus the technical guardrails access, logging, input/output controls that enforce them.
Data Protection for AI
DLP tuned for AI, sensitive data classification, redaction and retention rules keeping customer data, source code and IP out of public models.
Secure AI Adoption
Approved tool guidance and hands on training so your team gets the productivity of AI safely secure adoption, not a blanket ban that drives shadow AI.
The Difference It Makes
Guessing about AI risk vs. measuring it.
Unassessed AI vs. a Purple Shield AI security assessment
AI with no assessment
Visibility
No idea which tools or data are in use
Benchmark
A vague sense that you're "probably fine"
Product security
AI features shipped without adversarial testing
Buyer questions
No answer when buyers ask how you manage AI
Independence
Guided by whichever vendor sells the loudest
Purple Shield vCISO services
Visibility
A scored inventory of AI in use and the data behind it
Benchmark
Maturity scores vs. NIST AI RMF, ISO 42001, OWASP & MITRE ATLAS
Product security
Tested against the OWASP LLM Top 10 and MITRE ATLAS
Buyer questions
Evidence and scorecards ready for the questionnaire
Independence
Vendor-neutral — nothing to sell you
How It Works
How the AI security assessment works.
Scope
A short kickoff to map your AI footprint what you use, what you build, and which frameworks matter to your buyers and regulators.
Assess
We score you against NIST AI RMF and ISO 42001, test your AI against the OWASP LLM Top 10, and threat-model it with MITRE ATLAS.
Report
You get framework scorecards, red team findings, and a risk-ranked roadmap in plain language, walked through with your team.
Remediate
Optional hands-on support to close the gaps and re-test so the score, and the evidence behind it, keeps improving.
Credentials That Back The Advice
Decades of hands-on security leadership
Most security advice comes with a sales agenda. Ours doesn't. That single difference changes everything about the guidance you get.
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.
Our Numbers
Two decades of results behind every engagement.
200+
Clients Served
30+
Incidents Responded To
20+
Years of Experience
100+
Assessments Completed
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.