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Veloura LunelleTechnologies

AI Security

Use AI with confidence, without putting your data at risk

Chatbots, AI agents, and LLM features open new doors for attackers: prompt injection, leaked customer data, and agents that do more than they should. We test your AI systems the way an attacker would, then add the guardrails that keep them safe.

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What's included

Everything you need, handled by one team

Pick what you need now. We can add the rest as your business grows.

  • AI red teaming

    We attack your chatbot or agent with prompt injection, jailbreaks, and data extraction attempts, and show you what got through.

  • LLM security review

    A review of your AI app against the OWASP Top 10 for LLM Applications, from prompt handling to how answers are used.

  • Guardrails and filtering

    Input and output checks that block harmful prompts, hide sensitive data, and keep answers on topic.

  • Safe agent permissions

    Least-privilege access for AI agents, with human approval before risky actions like payments or deleting data.

  • Data leak prevention

    We make sure private documents, customer records, and API keys never end up in prompts, logs, or answers.

  • AI usage policy

    A clear, practical policy for how your team can use tools like ChatGPT and Claude safely at work.

Benefits

What this means for your business

Good software isn't just about features. It should save time, win customers, and make work easier.

  • Ship AI features safely

    Launch chatbots and agents knowing they've been tested against real attacks.

  • Protect customer trust

    Keep customer data private, even when someone tries to trick your AI into sharing it.

  • Stay ahead of new attacks

    AI threats change fast. We keep your defenses current as new techniques appear.

  • Clear answers for customers

    Be ready when customers or auditors ask how your AI handles their data.

Tech we use

Proven tools, chosen for your needs

We pick well-supported technology that fits your goals and budget, not whatever is trendy this month.

  • OWASP
  • Python
  • LangChain
  • Claude
  • OpenAI
  • Hugging Face
  • Burp Suite
  • Datadog

Our process

How your project comes together

Five clear steps, with a check-in at every stage, so there are no surprises.

  1. 01

    Discover

    We map your AI features: which models you use, what data they can see, and what actions they can take.

  2. 02

    Design

    We build a threat model and a test plan covering prompt injection, data leaks, and misuse.

  3. 03

    Build

    We run the attacks, then fix what we find with guardrails, safer prompts, and tighter permissions.

  4. 04

    Launch

    We re-test every fix and hand over a clear report your team and customers can trust.

  5. 05

    Support

    We re-test after model or prompt changes and keep your guardrails up to date.

FAQ

AI Security questions

Quick answers to what clients usually ask. Still unsure? Send us a message and we'll reply within one business day.

Ask us a question

It's when someone hides instructions in text your AI reads, like a chat message, web page, or document, to make it ignore your rules, reveal data, or take actions it shouldn't. It's the most common attack on AI apps today.

Yes. The AI provider secures the model, but you're responsible for what data you send, how you use the answers, and what your app lets the AI do. Most AI security problems happen in that layer.

Yes, with written permission from you as the owner. We test it the same way an attacker would and give you clear findings to share with your vendor.

Yes. Our AI Agents and AI Integration services build with security from day one, so new features launch with guardrails already in place.

Keep exploring

Related services

Is your AI app safe from prompt injection?

Book a free call. We'll look at how your AI features work and tell you where the biggest risks are.

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