AI Security & Readiness: Built to Scale, Designed to Protect.
Eliminate AI vulnerabilities and win enterprise-level trust. Azmoy provides practical AI security audits that map your systems to the EU AI Act, ISO 42001, and NIST RMF. We identify risks, implement technical guardrails, and deliver the auditable proof needed to win high-stakes enterprise deals.
Included outputs



Unmanaged AI introduces enterprise risk
Have you experienced these challenges?
Model decisions are hard to explain to stakeholders
Unclear ownership and accountability when AI fails
Unreliable outputs and hallucinations that can be misused
Insufficient documentation for enterprise and security reviews increases risk
Unclear regulatory exposure and compliance risk
Enterprise deals stall without audit-ready evidence
Azmoy helps you get clarity fast.
What we do
AI Risk & Compliance Assessment
Comprehensive analysis of your AI systems and their risks.
- •Map AI systems and use-cases
- •Risk analysis: privacy, safety, bias/fairness, security, reliability, monitoring
- •Accountability: owners, approvals, incident readiness
Deliverable: written report + prioritized fixes
AI Governance & Documentation
Structured policies and documentation for enterprise readiness.
- •Policies: model change management, prompt governance, data handling
- •RACI-style ownership map
- •Evidence pack for enterprise/security questionnaires
User-Side Abuse & Misuse Testing
Practical testing from an attacker mindset to harden your systems.
- •Practical "attacker mindset" tests for LLM apps
- •Prompt injection, jailbreak attempts, misuse scenarios
- •Recommendations to harden the system
- •We test from the user side—no internal penetration testing
Delivery options
Remote-first
Standard delivery model for most engagements.
On-site / hybrid
For systems requiring in-person access or live validation.
Deadline sprint
Accelerated work to prepare evidence for an upcoming security review or vendor questionnaire.
Use cases we cover
We assess AI systems across industries and use cases.
LLM Chatbots
Customer support, internal assistants
Scoring Models
Credit, fraud, risk assessment
Computer Vision
Image recognition, quality control in products
Text Processing
Out-of-the-box NLP, classification, extraction
Decision Support
Clinical, financial, operational AI
Document Processing
Extraction, classification, summarization
HR & Recruiting
Resume screening, candidate matching
AI Agents
Autonomous workflows, task automation
What you receive
AI System Map
Structural overview of your AI infrastructure
- •Use cases — clear descriptions of applications.
- •Data flows — clear visualization of processes.
- •Process owners — precisely assigned accountability.
AI Risk Register
Consolidated view of key risks
- •Impact and likelihood — assessment of risk scale.
- •Existing safeguards — analysis of current control mechanisms.
- •Protection gaps — areas requiring improvement.
Executive Summary
Briefing ready for stakeholders
- •1–2 pages — maximum substance, no filler.
- •Clear accountability — transparent division of roles.
- •Decision support — concrete recommendations for leadership.
Prioritized Action Plan
Phased roadmap for remediation
- •Phased approach — step-by-step delivery.
- •Milestones — measurable progress.
- •Risk reduction — plan to address weakest links.
Enterprise Readiness Pack
Policies and control mechanisms
- •Security reviews — preparation for security assessments.
- •Regulatory support — alignment with new rules (EU AI Act).
- •Verification readiness — standards accepted by enterprises.
Evidence Pack + Trust Badge
External proof for customers and investors
- •Security reviews — ready answers for partners' IT teams.
- •Vendor questionnaires — faster sales cycles.
- •Trust Badge — public proof of your security commitment.
Work
See sample outputs, case snapshots, and our assessment process.
How it works
Scoping Call
30 min
Discussion of your AI use cases and technical constraints.
Evidence collection
Documentation, screenshots, and configurations (process covered by NDA).
Analysis & findings
Structured verification and risk assessment (risk scoring).
Readout & report
Review of results, PDF report delivery, and trust badges.
Scoping Call
30 min
Discussion of your AI use cases and technical constraints.
Evidence collection
Documentation, screenshots, and configurations (process covered by NDA).
Analysis & findings
Structured verification and risk assessment (risk scoring).
Readout & report
Review of results, PDF report delivery, and trust badges.
Typical turnaround: 5–10 business days depending on scope.
Why Azmoy
Structured frameworks
Assessments grounded in recognized standards, including NIST AI RMF, ISO 42001, and EU AI Act requirements. Our evidence-first process delivers materials ready for any external audit or security review.
Minimal team lift
We respect your engineers' time. We gather evidence through documentation, screenshots, and brief walkthroughs—usually without changes to your operational infrastructure.
Clear engagement boundaries
We focus solely on objective assessment. We do not change your code or operational controls—you retain full ownership and decision-making over your systems and processes.
NDA-ready & confidentiality
Data security is our priority. We minimize what we need to see and keep every stage confidential (privacy by design). We'll gladly sign your NDA or share our standard agreement template.
Frequently asked questions
Book a 30-minute scoping call.
Pick a time that works for you. We'll use the call to understand your AI use cases, risk profile, and what evidence you need.
Blog
Notes on AI security, governance, and readiness — written for product, risk, and compliance teams.


