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AI SECURITY PROGRAM ASSESSMENT

See Where Your AI Security Program Actually Stands

AI adoption moved faster than most governance models could track. This assessment benchmarks your AI security practices against real peer data, activity by activity, so you know exactly where to invest next.

Get Your AI Assessment
GOVERNANCE VS. ENGINEERING

The Board Approved AI. The Controls Are Still Catching Up.

Most security teams can point to an AI policy, an approval workflow, and a governance board. Fewer can show which controls are actually enforced once code ships and agents start acting on their own. Assumptions about AI risk get set once and rarely get retested as usage scales. The result is a program that looks complete on a slide and thin under real use. 

The AISec Study maps where those assumptions hold and where they don't.

Read the AISec Study

Benefits of  an AISec Program Assessment

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Your Posture Gets Measured, No Guesses

Interviews with your security, AI, governance, and engineering leaders get scored against 64 observable activities, not a self-reported survey.

Your Program Gets Benchmarked Against Real Peers

Your coverage score sits against a growing data pool of organizations across banking, healthcare, government, and software.

Your Gaps Get Ranked By What Matters Most

You leave with prioritized recommendations showing which activities close the largest gap first, not a flat checklist. 

Measuring What Teams Actually Do, Not What They Claim

AISec Program Assessment was inspired by the interview-based methodology of BSIMM (the Building Security In Maturity Model), the long-running benchmark for software security programs, and applies it to how organizations govern, build, and defend AI. 

 

Confidential Interviews, Not Surveys
Practitioners map what your security, AI, governance, and engineering leaders actually do against the framework, in conversation.
64 Activities, 10 Capabilities, 3 Domains
Every organization is scored against the same catalog, across Direction & Oversight, Engineering & Usage, and Assurance & Protection.
Depth Scored, Not Just Breadth
Each activity is rated Emerging, Established, or Unobserved, so a pilot doesn’t score the same as a repeatable control.
Benchmarked Against a Real Data Pool
Your results are compared against organizations already assessed, spanning banking, healthcare, manufacturing, and government.
HOW IT WORKS

From Conversation to Prioritized Roadmap

The assessment runs as a structured engagement built around conversations with the people who run your AI program day to day.

01. Plan the engagement

You and UltraViolet identify interviewees and a start date.

02. Run practitioner interviews

Security, AI, governance, and engineering leaders walk through how AI is actually built and governed. 

03. Score against the framework

Responses map to 64 activities, each scored Emerging, Established, or Unobserved, that roll up to 10 capabilities.

 

04. Benchmark against the data pool

Your coverage score is placed against peer organizations already assessed.

05. Deliver the private report

You get a confidential report with scores, gaps, and prioritized recommendations.

HEAR WHAT OUR CUSTOMERS HAVE SAID

We were happy to participate in the initial AISec Benchmark assessment in order to have that visibility into more data-driven insights and to measure and improve our AI initiatives. This allowed us to compare our practices against those of other organizations, which helps us identify potential gaps as well as gauge what to prioritize in terms of improvements. We are looking forward to continuing to work with the AISec Benchmark team to further refine and enhance our AI initiatives.

Sandy Blackwell

Global Senior Director, Software Security, 74 Software 

2642 on Inc. 5000 List of America’s Fastest-Growing Private Companies
Trailblazing Offensive Security
Trailblazing Managed Security Service Provider (MSSP)
#19 on MSSP Alert's Top 250 MSSPs
Visionary Offensive Security
Transformational MSSP

AI Threat Modeling

AI systems introduce unique risks—from hidden data flows to complex model behaviors—that traditional application threat modeling simply doesn’t capture. Our AI Threat Modeling service provides a structured, model‑aware evaluation of how your AI application could be misused, manipulated, or compromised, and what controls are needed to secure it. 

What's Included

Design & configuration reviews tailored to your model and platform

We analyze architectures, integrations, model endpoints, training pipelines, and platform configurations to identify risks specific to your AI environment—not just your application surface.

Context-driven threat modeling that highlights key risks

Our threat models reflect how your AI solution actually operates—its data pathways, decision logic, access points, and dependencies—ensuring risks are prioritized based on your real deployment context.

Identification of data and model security vulnerabilities

We pinpoint areas where adversaries could exploit your system, including model manipulation, data leakage, prompt injection, alignment failures, privilege escalation, or insecure training artifacts.

READY TO SECURE YOUR AI SYSTEMS?

Understand your current AI security posture, benchmark it against peer organizations, and receive a clear, prioritized roadmap for strengthening governance, engineering controls, and runtime protection.

Get in touch to start with an AI Security Program Assessment. 

 

 

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