CONSULTING SERVICES
AI Security Assessment
A fixed-scope, framework-based evaluation of your organization's AI security posture — from shadow AI discovery to compliance gap analysis to prioritized remediation.
AI Adoption Creates Security Gaps That Traditional Assessments Miss
Traditional security assessments evaluate networks, endpoints, and applications. But they don't account for the unique risks introduced by AI adoption — shadow AI tools transmitting sensitive data to unknown third parties, employees pasting customer PII into generative AI prompts, API integrations with no access controls, and AI-generated outputs being used in regulated contexts without human review.
Our AI Security Assessment is purpose-built to evaluate these risks. We evaluate across 10 AI-specific control domains built on NIST, CIS, and ISO standards — covering risks that traditional security assessments weren't designed to find. See our full methodology for details on how each domain is assessed and scored.
The result is a clear picture of your AI risk exposure with a prioritized, actionable plan to address it.
COMPREHENSIVE TIER
AI Endpoint Security Testing
A hands-on technical evaluation of the interfaces where AI tools connect to your organization.
Endpoint Discovery & Mapping
We identify every AI-related API endpoint, integration, and data flow across your environment — sanctioned tools, shadow AI, and embedded AI features within existing SaaS platforms.
Authentication & Authorization
We verify that AI API keys and tokens are properly scoped, rotated, and stored — checking for over-privileged access, shared credentials, keys exposed in client-side code, and missing revocation procedures.
Data Leakage Analysis
We analyze what data is transmitted to AI endpoints — whether sensitive data such as PII, credentials, or proprietary information is being sent in prompts, fine-tuning data, or API payloads.
Input Validation & Injection
For internally hosted or custom AI endpoints, we test for prompt injection, jailbreak vectors, and malformed input handling — verifying that user-facing AI interfaces enforce appropriate guardrails.
Transport & Configuration Security
We verify that all AI endpoints enforce TLS, validate certificates, and that no API traffic traverses unencrypted channels. We also check for overly permissive CORS policies and missing rate limiting.
Abuse & Cost Controls
We evaluate whether AI API integrations have rate limits, spending caps, and usage monitoring in place — preventing runaway costs from misuse, compromised keys, or automated abuse.
10 DOMAINS
AI Security Control Domains
Every assessment evaluates your organization across these domains.
AI Governance & Policy
Organizational policies, roles, and accountability structures for AI adoption and oversight.
AI Asset Management
Discovery, inventory, and classification of all AI tools and services in use across the organization.
Data Protection in AI
Controls for data flowing to, from, and within AI systems — including DLP, classification, and retention.
Access Control for AI
Authentication, authorization, and least-privilege access to AI tools and the data they process.
AI Supply Chain Security
Vendor risk assessment, third-party AI service evaluation, and supply chain integrity verification.
AI Output Validation
Controls ensuring AI-generated outputs are reviewed, accurate, and appropriate before use in decisions.
AI Incident Response
Procedures for detecting, responding to, and recovering from AI-related security incidents.
AI Monitoring & Logging
Visibility into AI system usage, data flows, anomalies, and audit trail maintenance.
AI Training & Awareness
Employee education on safe AI usage, acceptable use policies, and organizational AI guidelines.
Model Security
Protection of AI models from adversarial attacks, prompt injection, data poisoning, and model theft.
DELIVERABLES
Your Deliverable Package
Executive Summary Report
C-Suite and board-ready overview of findings and risk posture.
Technical Assessment Report
Detailed findings with evidence, analysis, and remediation steps.
AI Asset Inventory
Complete catalog of discovered AI tools with classifications and risk scores.
Compliance Gap Matrix
Regulation-by-regulation gap analysis with severity ratings.
Remediation Roadmap
Phased action plan with priorities, timelines, effort estimates, and ownership.
Risk Register
Trackable finding list with scoring, status, and acceptance/remediation decisions.
THE STAKES
The Cost of Waiting Is Already Compounding
Regulatory deadlines are approaching and every month without AI governance adds risk. Here\u2019s what\u2019s at stake.
Colorado AI Act
The first US state law regulating AI decision-making. Organizations deploying high-risk AI systems must complete impact assessments, implement governance measures, and disclose AI usage to consumers. Applies to any business serving Colorado residents — regardless of where you’re headquartered.
EU AI Act — High-Risk Provisions
The most comprehensive AI regulation in the world reaches its most significant deadline. High-risk AI system requirements — risk management, technical documentation, human oversight, and conformity assessment — take full effect. Applies to any organization whose AI systems affect people in the EU.
NIST AI RMF is the safe harbor framework both US state regulators and EU enforcement bodies are pointing toward. Ayliea's assessments align to NIST AI RMF alongside NIST CSF 2.0, CIS Controls v8.1, ISO 27001, and five additional frameworks — building the evidence base that demonstrates reasonable care before regulators come asking.
Average data breach cost
$4.44M
The average total cost of a data breach globally in 2025 — and breaches involving shadow IT cost 35% more due to delayed detection and response.
IBM Cost of a Data Breach Report, 2025
Shadow AI exposure
75%
of employees report using AI tools at work. In most mid-market organizations, IT has visibility into fewer than half of these tools.
McKinsey Global Survey on AI, 2024
Regulatory penalty ceiling
$35M
Maximum penalty under the EU AI Act for non-compliant high-risk AI systems — 7% of global annual turnover. The Colorado AI Act adds per-violation fines starting in 2026.
EU AI Act, Article 99
Mean time to identify a breach
194 days
Organizations without AI security governance take an average of 194 days to identify a breach — nearly 7 months of undetected exposure.
IBM Cost of a Data Breach Report, 2025
The shadow AI problem compounds daily
Every week you wait, more employees adopt more AI tools without oversight. Each new tool is another ungoverned data flow, another potential compliance gap, another vector an auditor will flag. The remediation cost grows with every tool — starting now means a smaller, faster, cheaper engagement.
The math
200
employees in a typical mid-market org
60+
actively using AI tools weekly (at 30%)
$125
per AI touchpoint assessed — less than one hour of a consultant's time
At $7,500, a Focused Assessment costs 0.17% of the average breach cost — and covers risks that traditional assessments don't even evaluate.
PREFER SELF-SERVICE?
Run Your Own Assessment on the Platform
Every consulting engagement includes 12 months of Business tier platform access. Or skip the consulting and start with our self-serve platform today.
Let's Scope Your Assessment
Every engagement starts with a free 30-minute scoping call.