AI Risk Assessment Services
Protecting Modern Organizations In The AI Age
Our AI Risk Assessment service provides a structured and comprehensive evaluation of the risks embedded across the entire AI landscape. The assessment is a time-boxed evaluation of every AI system in the organization, sanctioned and shadow, scored against a defensible framework.
32%
of organizations experienced a prompt-injection incident.
Model Risks: Bias, lack of transparency, model drift, and adversarial manipulation.
Data Risks: Data quality issues, leakage of sensitive information, and integrity concerns.
Security Risks: Exposure to new attack vectors targeting AI models and pipelines.
Operational Risks: Unintended consequences of automated decision-making and system failures.
Regulatory Risks: Misclassification or non-compliance with emerging AI regulations.
Gain Total Transparency
To The Risks
Gain total clarity on the risk embedded in your AI adoption. PurpleSec’s Risk Management Framework covers 21 AI-specific risks across seven categories. Every risk carries a stable R-number, a mapped regulation, and a severity scored from Low to Critical. The register is the risk map of your AI usage.
Align To Audits With Your Framework
Align to best practice in cyber security: NIST AI RMF 1.0, ISO/IEC 42001, ISO/IEC 23894, OWASP LLM Top 10 (2025), and MITRE ATLAS. Assurance to the c-suite and entire organization on meeting critical AI audits. The framework spawned from your risk assessment fits your business AI posture.
Our AI Risk Assessment Approach
Four weeks in, leadership knows what AI the business runs, where the risk sits and what to do first. The engagement hands over four deliverables that turn findings into decisions, owners and deadlines.
Scored Risk Register + Heatmap
See which risks need a decision now and which can wait. All 21 are scored 0–100, each with an owner and the regulation it affects.
Leadership-Ready Pack
Leadership gets the findings, trade-offs and next steps in one briefing. PurpleSec walks the team through it live and answers questions.
AI Inventory And Landscape Memo
Know which AI tools the business runs before deciding what to approve. Every system is listed with its owner, department and vendor, sanctioned or not.
90-Day Remediation Plan
Turn findings into a 30-, 60- and 90-day plan with owners and deadlines. Regulatory gaps come first, then the fixes with the most business impact.
Frequently Asked Questions
What Is An AI Risk Assessment?
An AI risk assessment scores every AI system in the organization against a defensible framework, sanctioned and shadow alike. PurpleSec runs it in four weeks against 21 AI-specific risks across seven categories.
Every finding cross-walks to NIST AI RMF, ISO/IEC 42001 and OWASP LLM Top 10. The engagement ends with a scored risk register, a 90-day remediation plan and a board pack.
Who Is An AI Risk Assessment For?
Most buyers arrive with a question they cannot answer yet. A board wants a position on AI risk. Copilots and agents ship faster than policy can follow. A customer questionnaire or a regulator now asks about AI.
The CISO, the CTO or CIO, and the legal or compliance lead usually own those questions. If one of them landed this quarter, the assessment is the first step.
We Barely Use AI Yet. Is An Assessment Premature?
A light AI footprint is still worth scoring. Week 1 regularly finds AI that never passed through procurement. AI features get switched on inside existing SaaS tools, and staff sign in to personal accounts on work devices.
A small footprint also keeps the fee down, because sizing tracks the AI footprint. The result is a short register and a clean Stage Zero before adoption speeds up.
Do I Need An AI Risk Assessment If I Already Did A SOC 2 Or ISO 27001?
Yes, because SOC 2 and ISO 27001 score information security controls. Neither one scores AI-specific risk such as prompt injection, model provenance, agent behavior or shadow AI.
The assessment sits on top of that existing work. Every finding cross-walks back to the SOC 2 or ISO 27001 control the auditor already knows.
How Does This Compare To A NIST AI RMF Assessment Or An ISO 42001 Gap Analysis?
A NIST AI RMF assessment scores the program against one framework. An ISO 42001 gap analysis measures the distance to one certification.
PurpleSec’s AI risk assessment maps to both, plus ISO/IEC 23894, OWASP LLM Top 10 and MITRE ATLAS. One engagement produces the register the other two need as an input.
Does It Cover AI We Build As Well As AI We Buy?
Both sides land in one register. Purchased AI covers enterprise assistants, AI features inside SaaS platforms and third-party model APIs. Built AI covers internal applications on those APIs, retrieval pipelines and agents with tool access. The Chief AI Officer reviews the built side for model provenance, prompt-injection surface and agent behavior.
How Much Of My Team’s Time Does This Take?
5 to 8 hours across the 4 weeks. That time splits across security, IT, legal and one executive sponsor. PurpleSec’s AI vCISO and Chief AI Officer carry the discovery, the scoring and the drafting.
How Does The Included Defiance AI™ Trial Work?
The trial is optional and runs beside the assessment. The assessment completes on interviews and exports alone. Teams that switch the trial on see live AI activity on their own traffic. That data can confirm the shadow AI findings from week one before the board readout.
What Happens After The Assessment?
Three paths open in week 4. The team can run the 90-day remediation plan in-house. It can convert to an AI vCISO retainer within 60 days and credit the assessment fee against it.
Defiance AI™ can also enforce the policies the assessment produced. Most organizations combine 2 of the 3.