Cenvox Global Solutions
AI processor chip protected by a security shield, representing AI security services

AI & Emerging Technology Security

AI security services

Securing AI adoption and using AI to strengthen security operations: AI application security, AI-assisted security operations and AI risk reviews.

Key areas covered

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AI application security
Testing of chatbots, copilots, RAG systems and AI agents
AI-assisted operations
AI support for alert triage, investigation and reporting, with human review
AI risk and adoption
Policies, data controls and risk reviews for AI tools
References
OWASP Top 10 for LLM Applications, NIST AI RMF, MITRE ATLAS

Overview

About AI security services

AI changes security in two directions at once. The AI tools and features your business adopts bring new risks, such as prompt injection, data leakage and agents that can be tricked into taking actions. At the same time, AI can help security teams triage alerts, investigate faster and spend less time on repetitive work.

Cenvox works on both sides. We test and review the AI systems you build or adopt, help you put sensible controls around AI use, and use AI-assisted techniques to make security operations more efficient. People stay in charge of every decision: AI supports the analyst, it does not replace them.

A typical starting point

You are adopting AI tools or building AI features, and want to do it securely, or you want AI to help your security operations.

The security problem

The new risks that come with AI

AI tools are being adopted faster than the controls around them. These are the risks we see most often.

  1. Sensitive data shared with AI tools

    Staff paste customer data, code or confidential documents into public AI services without clear rules.

  2. Prompt injection and manipulation

    AI applications can be tricked by crafted input or poisoned documents into ignoring their instructions.

  3. AI agents with too much access

    Assistants that can send emails, query databases or call APIs can be turned against you if not tightly limited.

  4. Over-reliance on AI output

    AI makes confident mistakes. Without human review, wrong conclusions can drive real security decisions.

See the security risks we see by industry

What’s covered

Three areas of AI security

Engagements can cover one area or all three, depending on where you are with AI.

Area 01

AI application security

  • Prompt injection and jailbreak testing, direct and indirect
  • Sensitive data and system-prompt leakage
  • RAG and vector database access controls
  • AI agent tool use, permissions and excessive agency
  • The web application and APIs around the model. See AI and LLM penetration testing

Area 02

AI-assisted security operations

  • AI-assisted alert triage and summarisation
  • Faster investigation with AI-supported log and event analysis
  • Draft incident summaries and reports for analyst review
  • Clear rules on what data AI tools may process
  • Human review of every conclusion and action

Area 03

AI risk and secure adoption

  • Inventory of AI tools and features in use
  • Acceptable-use policy for AI tools
  • Data classification rules for AI inputs
  • AI vendor and third-party risk questions
  • Mapping to the NIST AI Risk Management Framework

Good to know

AI supports analysts, it does not replace them

AI is good at summarising, sorting and spotting patterns in large volumes of data. It also makes mistakes with confidence. In our AI-assisted security operations, an experienced analyst reviews every conclusion before anything is reported or acted on.

Good to know

Testing the model and everything around it

Many AI security problems are not in the model at all, but in the permissions, data connections and APIs around it. Our AI and LLM penetration testing covers the whole system, including the web application and API layer.

What you receive

What an AI security engagement delivers

Clear findings and practical controls, written for both technical teams and leadership.

  • AI usage and risk overview

    Which AI tools and features are in use, what data they touch, and the main risks.

    Explore AI security

  • AI application test report

    Findings with evidence, risk ratings and fixes, mapped to the OWASP LLM Top 10.

  • AI acceptable-use policy

    Practical rules for staff on which tools to use and what data may go into them.

  • AI-assisted workflow design

    Where AI helps your security operations, how it is reviewed and what it must not do.

  • Prioritised roadmap

    The controls to put in place first, and how to review AI risk over time.

Before we start

What we need to review your AI use

Information about how AI is used, and access to the systems in scope.
  • A list of AI tools, features and vendors in use or planned, as far as you know it.
  • For testing: access to the AI application, test accounts and a description of its data sources and tools.
  • A contact who owns AI use or policy decisions.
  • For AI-assisted operations: an overview of your security tools, alert volumes and current workflow.

How we scope, authorise and report every engagement

Not sure you have everything?

We confirm exactly what AI security needs from your side during the scoping call, before any work is agreed.

Book a scoping call

FAQ

Questions about AI security

Straight answers to what organisations ask before they start.

Still have a question?

Ask about scope, timing or cost for AI security, even if you are not ready to commission work yet.

Contact our team

What is the difference between AI security and AI and LLM penetration testing?

AI and LLM penetration testing is one part of AI security: hands-on testing of a specific AI application. AI security services also include AI-assisted security operations and help with policies, data controls and risk reviews for AI adoption.

What does AI-assisted security operations mean?

It means using AI tools to help analysts work faster, for example by summarising alerts, grouping related events or drafting investigation notes. An analyst reviews every output; AI does not make security decisions on its own.

Is it safe to put security data into AI tools?

Only with the right controls. We agree in advance which tools may be used, what data they may process and where it is stored, and we avoid sending sensitive data to services that would retain or train on it.

Do you sell AI security software?

No. Cenvox provides security services. Where tools are needed, we use established tools and your existing platforms.

Related services

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Talk to us about AI security

Tell us what has prompted the conversation. We will reply to arrange a short, no-obligation scoping call for AI security.

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