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geist for Security

Find the holes in your AI before an attacker does, and close them.

Every AI assistant and bot you ship is a new attack surface. Prompt injection, leaked data, and a chatbot tricked into saying the wrong thing are real risks, and most teams find out the hard way.

geist tests your bots the way an attacker would, audits them for prompt injection, and builds guardrails that actually hold under pressure. We are built in Germany and proven by red teaming, and we test against standards like the OWASP LLM Top 10, so you can ship AI with confidence.

What it does

Red teaming for your bots

We attack your AI assistants the way a real adversary would and report what breaks. You find the weaknesses on your terms, before someone else finds them on theirs.

Prompt injection audits

geist probes your systems for prompt injection and data leakage across the paths attackers actually use. You get a clear picture of where instructions can be hijacked.

Guardrails that hold

We build and test controls that keep your AI on policy under adversarial pressure, not just in the happy path. The guardrails are proven against attack, not assumed.

Tested against recognized standards

Assessments map to references like the OWASP LLM Top 10 and align with the NIST AI RMF. Your security posture is measured against frameworks your auditors recognize.

Clear findings and fixes

You get a prioritized report of what is exploitable and concrete remediation, not a wall of theoretical risk. The output is something your team can act on immediately.

In practice

Before launching an assistant for its customers, a company had geist put it through red teaming. The audit surfaced a prompt injection path that could leak internal instructions and a way to coax the bot off policy. Both were closed with guardrails that held up under a second round of testing, and the assistant shipped without incident.

What you get

  • Vulnerabilities found before they reach production
  • Prompt injection and data leakage paths closed
  • Guardrails proven under adversarial testing
  • A posture mapped to OWASP LLM Top 10 and NIST AI RMF
  • Confidence to ship AI to customers and regulators

Questions

What kinds of AI systems do you test?
Chatbots for customers, internal assistants, and agent workflows, anywhere an LLM takes input that an attacker could shape. We tailor the attacks to your setup.
What standards do you test against?
We map our assessments to references like the OWASP LLM Top 10 and align with the NIST AI RMF, so the results speak the language your auditors expect.
Do we get something actionable at the end?
Yes. You get a prioritized report of exploitable issues plus concrete fixes, and we can build the guardrails to close them and retest.
Get started

Find the holes in your AI before an attacker does

Book a call to put your bots through red teaming and harden them against attack.

30 minutes · no slides, no fluff · we usually reply within one business day.