AI security for production systems
Know what your AI can access. Control what it can do.
Snabon helps companies secure AI applications and agents used in real business operations. We examine the deployed system, from its architecture and model integrations to its data, permissions, connected tools and operational safeguards.
Discuss your AI systemA familiar example
A support assistant reads a customer record and updates a ticket.
That seems routine until a retrieved document gives it a misleading instruction, or its access allows it to change more than the task requires.
The question is whether the team has set and tested the boundaries around that action.
AI Security Review
Start with one AI system.
Leave with clear decisions.
A focused, evidence-based review of one deployed AI application, agent or connected workflow.
What we assess
Security across the deployed system, with access and authority examined throughout.
- Architecture & deployment
- Hosting, exposed interfaces, configurations, secrets and trust boundaries.
- Model & application
- Prompt manipulation, unsafe outputs, model connections and application safeguards.
- Data & privacy
- Sensitive data flows, retrieval access, separation and leakage paths.
- Identity & authority
- Who can steer the AI, what it can access or do, and where actions are limited.
- Agents, tools & supply chain
- Connected APIs, MCP tools, dependencies, memory and abuse paths.
- Detection & resilience
- Audit trails, alerts, incident ownership, interruption and recovery readiness.
How the review works
- 01
Scope
Agree system boundaries and tests.
- 02
Understand
Map the system and its intended use.
- 03
Examine
Review configuration and controls.
- 04
Verify
Safely test selected scenarios.
- 05
Prioritize
Rank risks and practical fixes.
What you receive
One integrated AI Security Review report.Four components that explain the system, the risks and what to address first.
- AI System Security MapArchitecture, data flows and a distinct Authority Map showing what the AI can access and do.
- Security Findings & EvidenceSecurity weaknesses and control gaps, with evidence showing how each was checked.
- Business Risk & ImpactPlausible business consequences linked to material findings.
- Prioritized Improvement PlanPractical fixes, suggested owners, dependencies and sequence.
Safe, defined and transparent
We agree what will be tested and how your data will be handled before work begins. Tests use approved, non-destructive actions.
Start with one system.
We agree the scope, timing and depth with your team before the engagement.
The Review covers an agreed system and test scope. It is not a full penetration test or certification.
About Snabon
Engineering expertise. Business understanding.
Snabon is a European AI security company serving organizations across EMEA. Our work combines business understanding with hands-on AI security engineering.
We work closely with clients’ engineering and security teams, using the controls and tools already in place wherever they are appropriate.
Why Snabon
Built for AI-specific security risks
AI systems introduce risks that conventional security assessments may overlook. We focus on how connected AI systems access sensitive data, use enterprise tools, and perform actions, identifying where permissions, instructions, and security controls may fail.
Findings leaders can act on
We connect technical findings to the business processes, data, and operations they affect. Technical teams get clear recommendations, while decision-makers gain the context needed to prioritize risks and investments.
Built around your existing environment
We evaluate how existing security controls protect your AI systems, identify gaps, and recommend practical improvements. The priority is strengthening what you already have before introducing additional complexity.
Insights
A closer look at AI security.
Practical perspectives on the access, permissions and actions behind production AI.
AI Security Goes Beyond the Model. Look at What It Can Reach.
When AI connects to business systems, its access becomes part of its authority. A practical place to start is understanding what it can reach and what it can do.
Read article →Business perspectiveWhen AI Meets the Unwritten Rules of Your Business
Employees know when a routine request needs a different decision. What happens when AI takes on that work?
Read article →Get in touch
Tell us what you are putting into production.
A short description of the system and what it connects to is enough to begin.
Email Snabon