Questions We Help Answer
Your AI security and compliance questions, answered with evidence.
What AI systems are we using?
What data do they process?
Which vendors are involved?
Is sensitive information involved?
What controls do we have?
What controls are missing?
Where is human oversight required?
What evidence do we have?
What improvements should we prioritize?
Which regulatory considerations apply?
Do our hiring workflows raise AI bias questions?
What documentation should we maintain?
What should we do now vs later?
Which assessment or tool is appropriate for our situation?
Can we show evidence to a customer or auditor?
Are our AI tools safe to use with customer data?
What happens if an AI tool is compromised?
How do we explain AI decisions to stakeholders?
Building a SaaS or AI Product?
A specialized pathway for SaaS and AI product security.
What We Review
AI-specific attack surfaces and control gaps.
Generic security scans check for known vulnerabilities. We analyze the AI-specific attack surface that standard security tools do not typically cover.
Prompt Injection Testing
Adversarial testing of your AI system prompts. We attempt to override instructions, extract system prompts, and manipulate outputs. Every finding includes reproduction steps and remediation guidance.
RAG Data Integrity Review
Analysis of your retrieval-augmented generation pipeline for data integrity risks. We check document ingestion, embedding security, and retrieval authorization.
Tool Abuse & MCP Security
Review of tool definitions, MCP server configurations, and model-driven authorization. We identify where the AI can take actions it should not be allowed to take.
Tenant Isolation Review
Verification that your multi-tenant AI system properly isolates data, prompts, and outputs between customers. We check for cross-tenant leakage vectors.
Authentication & Authorization
Review of auth flows for AI endpoints, API key management, rate limiting, and access controls. We identify where unauthorized users could access AI capabilities.
Compliance Documentation
Documentation suitable for EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 audits. Test results, control mappings, and remediation roadmaps.
Compliance Alignment
Evidence for the frameworks that matter
EU AI Act
Risk classification, transparency obligations, and conformity assessment support.
NIST AI RMF
Govern, Map, Measure, Manage functions mapped to your AI systems and controls.
ISO 42001
AI Management System alignment and gap analysis for certification readiness.
SOC 2
Security, availability, and confidentiality controls applied to AI infrastructure.
NYC LL 144
Bias audit requirements for automated employment decision tools.
Colorado AI Act
Consumer protection and transparency requirements for high-risk AI systems.
Texas TRAIGA
Texas Responsible AI Governance Act requirements and compliance evidence.
How It Works
Four-phase assessment process
1
Scope & Architecture Review
We review your AI system architecture, data flows, tool integrations, and regulatory environment. Define the assessment scope and compliance targets.
2
Adversarial Testing
Hands-on testing of your AI system: prompt injection attempts, RAG data integrity risks, tool abuse scenarios, and tenant isolation verification.
3
Control Gap Analysis
Map findings to compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001). Identify gaps, classify severity, and prioritize remediation.
4
Evidence & Reporting
Full evidence package: test results, attack transcripts, control gap documentation, remediation roadmap, and compliance-aligned documentation for auditors.
Why Trust This
Evidence-grade methodology, not checklists.
Published governance methodology
The review methodology is grounded in a published AI governance methodology covering Enterprise, Project, Code, and UX domains. Applied in production AI deployments.
Adversarial testing, not questionnaires
Hands-on testing of your AI system: prompt injection, RAG poisoning, tool abuse, tenant isolation, and authorization review. Findings include reproduction steps and remediation guidance.
Free interactive tools
Before you commit to a full review, try the free interactive AI security tools: blast radius calculator, agent read/write/action matrix, and prompt injection scenario library.
FAQ
Common questions about AI security assessment
What is an AI security assessment?
An AI security assessment evaluates your AI systems, data flows, vendors, controls, and human oversight. It covers AI-specific attack surfaces like prompt injection, RAG data integrity, tool abuse, and tenant isolation. You receive prioritized findings, remediation guidance, and documentation suitable for audits.
How is this different from a regular security audit?
Traditional security audits focus on network, infrastructure, and compliance checklists. This assessment focuses on AI-specific attack surfaces that traditional security tools do not typically cover: prompt injection, RAG authorization, tool/function abuse, agent privilege boundaries, and AI supply-chain dependencies.
Do you review AI vendor risk?
Yes. The assessment covers vendor data handling, model provider security, API credential protection, data residency, and contractual considerations. You receive a vendor risk summary with prioritized recommendations.
Can you help with EU AI Act compliance?
Yes. The assessment maps your AI systems to EU AI Act risk classifications, transparency obligations, and conformity assessment requirements. This produces documentation that supports your compliance process.
Do you test AI hiring tools for bias?
Yes. The assessment covers AI-assisted hiring workflows including resume screening, job description analysis, and automated decision tools. This addresses NYC LL 144 bias audit requirements and similar regulations.
What evidence do I receive?
You receive test results, attack transcripts, control gap documentation, remediation roadmap, and compliance-aligned documentation mapped to frameworks like EU AI Act, NIST AI RMF, ISO 42001, and SOC 2.
Request a Review
Understand your AI security posture with evidence
Tell me about your AI systems, regulatory environment, and what evidence your customers or auditors are asking for. I will tell you whether a focused security assessment, compliance review, or combined engagement fits. Reviews are limited and scoped based on architecture.