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specter

We attack your AI before someone else does, then harden it until it holds.

specter is the geist platform for AI security and red teaming, and it is our core strength. When a company uses AI, that AI can also be tricked, manipulated or made to leak secrets. specter tests AI systems the way a real attacker would, on your behalf, to find the gaps first and close them.

Most providers ship a chatbot and move on. We attack the same systems we build, probing for prompt injection, jailbreaks and data exfiltration, until they hold. The result is security you can show an auditor, not a promise on a slide.

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 the exact weakness. We test whether your support bot can be talked into revealing internal discounts or data.

Prompt injection audits

We check whether someone can slip hidden commands into your AI through concealed text in input or your RAG pipeline. A doctored document should never be able to steer your AI off course.

Hardening against jailbreaks

We rebuild your system prompts and guardrails so the model can no longer be tricked into forbidden answers. Hardening means it holds up after we are done, not just on the day of the test.

Data exfiltration tests

We probe whether the AI gives away confidential data, customer records or internal keys under clever questioning, so a leak is found by us and not by an attacker.

Agent security audits

For AI that takes actions itself, such as sending email or placing orders, we check whether it can be tricked into doing the wrong thing, like transferring money by mistake.

Adversarial testing and pen testing

We use uncensored models as attack tools to find gaps a normal test would miss, run AI bug bounties, and speed up classic penetration testing with AI in the loop.

In practice

Before a retailer launched its customer chatbot, specter ran a red team engagement against it. Within the test we coaxed the bot into revealing an internal discount policy through a layered prompt injection, then rewrote its system prompt and guardrails so the same attack returned nothing. The launch shipped with a report the board could read.

What you get

  • Vulnerabilities found by us first, before a real attacker or a regulator finds them
  • Prompt injection, jailbreaks and data leaks tested against, not assumed away
  • Guardrails and system prompts hardened so they hold after the test
  • A clear report you can show an auditor, a board and your customers
  • Tested against OWASP LLM Top 10 and aligned with NIST AI RMF

Questions

Do you only test AI you built, or ours too?
Both. specter red teams systems we built in forge and AI systems you already run from other vendors. If it is an LLM, agent or RAG pipeline, we can attack it on your behalf and report exactly where it breaks.
What do we actually get at the end?
A security audit with a clear report: where the system can be broken, how serious each finding is, and what we changed or recommend changing to close it. You can also keep specter on as ongoing monitoring.
Why is red teaming your core competency?
Because we believe AI you cannot defend is a liability. We attack everything we ship with the same tools an adversary would use, so security is built in from the start, not bolted on after an incident.
Get started

Let us attack your AI first

Book half an hour with us and we will scope a red team engagement for the AI you run today.

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