Offensive Security

Set the objective

We define attacker goals together with you. For example, gaining access to production systems, reaching sensitive data, deploying malicious code through the CI/CD pipeline, establishing persistence in your cloud accounts, or impacting the availability of a critical service

Understand your environment

We map the parts of your cloud and CI/CD setup that matter for the attack objective. This gives us the possible entry points, movement paths, and high-value targets. This is about understanding how an attacker would operate, not reviewing configurations.

Choose the attack path

We choose the attack path an actual attacker would most likely follow: the starting point they would use, the privilege level they would target, and the services or systems they would try to move through.

This path reflects how an attacker would think and act in your environment and becomes the blueprint for our attack simulation.

Execute the attack

We execute the attack end-to-end along the chosen path to see what an attacker could realistically achieve in your environment. At each step, we test whether the attacker can advance, what systems they can reach, what data they can access, and where your monitoring or controls stop them.

This shows you exactly how far an attacker could get, what would be detected, what would be missed, and where your real security gaps are.

Provide actionable improvements

We give you prioritized recommendations tied directly to the attack path we proved. You see exactly which weaknesses made progress possible and what you need to fix to stop it, with improvements focused on visibility, detection, and response. Where a fix sits in cloud infrastructure, we can deliver it as Terraform your team reviews and ships.

Inventory your AI systems

We map the AI features, agents, and models running in your environment, and what each one can reach: the tools it can call, the data it can read, and the identity it runs as. This includes the ones that were never registered.

Set the attacker objective

We define attacker goals together with you. For example, extracting customer data through a retrieval pipeline, making an agent perform an action on an attacker's behalf, or reaching a system the agent was never meant to touch.

Attack the model and the tooling

We test all the relevant attacks mapped to the OWASP Top 10 for LLM Applications. We then test what happens after an injection lands: which tool calls execute, which identity they run as, and what that identity can reach.

Follow the path into your systems

We trace the route from a successful injection into your real infrastructure and check what your logging and detection recorded. This is where an AI problem becomes an identity and infrastructure problem.

Report and debrief

You get a technical report with every finding, the exact attack path, and reproduction steps your engineers can follow. Each finding comes with a specific recommended fix, ranked by severity. We walk your engineering and security teams through it in a working session and stay reachable for questions while they remediate.