CibervaultSecurity testing for AI chatbots and LLM apps
Your chatbot talks to customers, reads your data and can call your tools. We attack it the way real adversaries do — then show you how to lock it down.
AI Chatbot & LLM Security Testing
- Direct & indirect prompt injection attacks
- Jailbreaks and guardrail bypasses
- System-prompt, secret and customer-data leakage
- Unsafe tool, plugin and API actions
- RAG / knowledge-base data exposure
- Abuse, cost and rate-limit attacks
Our process
Map
We map what your assistant can see, say and do — data sources, tools and integrations.
Attack
Hands-on adversarial testing of prompts, documents, tools and the surrounding app.
Report
Findings with real transcripts, impact and practical fixes.
Harden
Guardrails, least-privilege tool design and monitoring recommendations.
AI Security questions
Why does an AI chatbot need a pentest?
LLM apps can be manipulated through their inputs. A crafted message or document can make a chatbot leak data, ignore its instructions or misuse the tools it's connected to — normal app pentests don't cover this.
Which AI platforms do you test?
Chatbots and LLM features built on hosted models or self-hosted local models — what matters is how your app uses the model, its data and its tools.
Can you also build a private, local AI instead?
Yes — see our AI & Automation service for local AI deployments with no cloud dependency.
Often paired with
Fast Penetration Testing
Rapid, thorough testing of web apps, APIs, networks and mobile — with reports your developers can act on.
Learn moreCustom SOC Builds
Wazuh, SIEM/IDS/IPS and automated response — designed around your threats and budget.
Learn moreHands-On Cybersecurity Training
Ethical hacking, awareness and incident simulations — practical skills, not slides.
Learn moreNot sure where to start?
Book a free 30-minute risk call. We'll identify your top 3 risks and give you a clear next step — no commitment, no sales pitch.