OUR 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.
AI Endpoint Security Testing
Included in the Comprehensive tier — a hands-on technical evaluation of the interfaces where AI tools connect to your organization.
Every AI tool your organization uses has at least one integration point — an API endpoint, webhook, browser extension, or embedded interface. These endpoints are where sensitive data leaves your environment and where external AI services interact with your systems. Our endpoint security testing evaluates these integration points directly.
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, and whether responses expose unintended information.
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 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.
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.
Let's Scope Your Assessment
Every engagement starts with a free 30-minute scoping call.