AI Cybersecurity & Red Teaming
We attack your AI before someone else does, then harden it until it holds.
This is our core competency. When a company uses AI, that AI can also be attacked, tricked, or made to give away secrets. We test AI systems the way a real attacker would, but on your behalf, to find the gaps first and close them.
From jailbreak tests and prompt injection audits to data leak checks and agent security reviews, we probe every angle, then rebuild the safety rules so the same attacks no longer work. In short: we attack your AI before someone else does.
What it does
LLM red teaming and jailbreak tests
On your behalf we try to make your AI do things it should not, then report exactly that weakness. For example, we test whether the support bot can be talked into revealing internal discounts or data.
Prompt injection audits
We check whether someone can slip the AI hidden commands through concealed text in inputs or your RAG pipeline, for example whether a doctored document could secretly steer the AI off course.
Hardening against jailbreaks
We rebuild the AI's safety rules and guards so it can no longer be tricked. After our work, the bot can no longer be talked into forbidden answers.
Data exfiltration tests
We check whether the AI accidentally gives away confidential data or passwords. We test whether the chatbot reveals internal keys or customer data under clever questioning.
Agent security audits
A security review for AI that takes actions itself, such as sending email or placing orders. We check whether an agent can be tricked into transferring money by mistake.
Adversarial testing and pen testing
We use especially unrestricted models as attack tools to find gaps a normal test would miss, and run penetration tests with AI assistance to find weak spots in your IT faster.
Awareness sims and compliance audits
We run AI social engineering simulations, for example an AI voice posing as the boss on the phone, and model audits that check your AI against EU AI Act requirements.
We test whether your support bot can be talked into revealing internal discounts, whether a doctored document can secretly steer your RAG pipeline off course, and whether an agent with tool access can be tricked into transferring money. Then we harden the system prompts and guards until those attacks no longer work, and hand you a report you can show an auditor.
What you get
- Vulnerabilities found by us first, before a real attacker finds them
- Hardened guards that resist jailbreaks and prompt injection
- Confidence your bot will not leak secrets, keys or customer data
- A red team report and security you can show an auditor
Questions
Is red teaming an extra or your main skill?
Do you test against recognised standards?
How is this engagement structured?
Break your AI before an attacker does
Book a call and we will scope a red team audit of your bots, RAG and agents.