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Your systems, stress-tested.

We break things so you don't have to. From traditional infrastructure pentesting to adversarial AI red-teaming, our security work covers the full surface - classical and generative.
Test your systems
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Security
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Test your systems
01Overview
Most AI companies can't pentest. Most security firms can't red-team an LLM. We do both.

Security teams deploy our tooling and methodology to find vulnerabilities across their entire stack - from traditional infrastructure to LLM-powered features. We build purpose-built tooling for AI-specific adversarial testing, and we bring the same rigor to classical pentesting and architecture review.

Whether you're shipping a SaaS product, deploying an AI agent, or preparing for a compliance audit - we stress-test the system and hand you a report with actionable fixes, not theoretical warnings.

02Full-stack coverage

Four layers. One team.

  1. 01

    Infrastructure

    Networks, servers, cloud configs, IAM policies

    Classical pentest
  2. 02

    Application

    Web apps, APIs, auth flows, session management

    AppSec review
  3. 03

    AI / LLM

    Prompt injection, jailbreaks, tool-misuse, persona-vector attacks

    In-house tooling
  4. 04

    Governance

    EU AI Act, OWASP Top 10, NIST, SOC 2 mapping

    Compliance testing
03Capabilities

What we test.

01

Penetration testing

Classic infrastructure, web app, API, and network pentests. Finding vulnerabilities in your stack before attackers do.

02

AI red-teaming

Adversarial testing of LLMs, agentic systems, and AI-powered features. Prompt injection, jailbreaks, tool-misuse, persona-vector attacks.

03

Security architecture review

Assessing how your systems are built - auth flows, data handling, API boundaries, privilege escalation paths.

04

Threat modeling

Mapping your attack surface before building, not after. What can go wrong, how likely is it, how bad would it be.

05

Compliance testing

Testing against regulatory frameworks - EU AI Act, OWASP Top 10, NIST, SOC 2 requirements.

04Evidence

Red-team.

We build our own adversarial testing tooling in-house. It's what we use to stress-test AI systems before anyone else touches them.
  1. 01

    Purpose-built adversarial testing tooling, developed in-house. We'll be publishing our findings in upcoming research.

  2. 02

    Founded at the intersection of ML and penetration testing

05Other solutionsAll five

Security

Find it before they do.

Whether you're shipping a SaaS product, deploying an AI agent, or preparing for a compliance audit.

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