Defining cybersecurityAI intelligence.

OrbitCurve is building the evaluation and data infrastructure that teaches AI to do the cybersecurity work the world depends on.

OrbitCurve ascent systemAn animated technical mountain landscape with a curved path rising toward a summit.

From mission question to evidence

Built to measure what security AI can actually do.

Evaluation

Define the capability, task population, environment, resource budget, and success criteria before the system is run.

Evaluation
Data Creation

Data Creation

A private, vetted network of security researchers builds the tasks, artifacts, verifiers, and reference work required by the evaluation plan.

Quality Check

Executable checks, hidden variants, reproducibility review, and expert judgment are applied according to the task's failure modes.

Quality Check
Delivery

Delivery

Deliver the benchmark package, evaluation results, artifacts, grader output, and resource accounting needed to inspect the conclusion.

Every conclusion traces back to a task, a run, and a check.

"Your AI Model Is Only as Good as Its Data"

Security is part of the evaluation plan.

Data handling, network access, deployment topology, evidence retention, and disclosure boundaries are agreed during scoping, then carried into the execution policy.

OrbitCurve FAQ

Technical and commercial basics.

01What does OrbitCurve build?

OrbitCurve builds cybersecurity benchmarks, model and agent evaluations, expert trajectories, long horizon tasks, reinforcement learning environments, and focused datasets. Each project starts from a defined security capability or failure mode.

02How are OrbitCurve evaluations scored?

The scoring method is defined before the run. We use executable checks when the outcome can be tested directly and expert review when the task requires domain judgment. Capability, cost, latency, time, tokens, and compute are reported separately when they are relevant to the evaluation.

03Which OrbitCurve benchmarks are public?

APEX CyberMicro Bench has a public repository. DeobfuscationBench is still in development. Customer specific evaluations, private task populations, and hidden checks are not published unless the engagement explicitly allows it.

04What is Akula?

Akula is OrbitCurve proprietary software for orchestrating cybersecurity evaluations. It connects the benchmark, model, agent, environment, execution policy, budget, grader, artifacts, and result record for each run.

05Can an evaluation run inside our environment?

Yes, when the deployment has been technically qualified for the customer environment. Network access, tools, data handling, infrastructure, evidence retention, and security constraints are agreed during scoping rather than assumed in advance.

06How does an engagement start?

Start with one security task or decision you need evidence for. We define the system under test, task population, success criteria, environment, execution policy, resource budget, and required outputs before any evaluation or data production begins.

WORK WITH ORBITCURVE

Build cybersecurity intelligence into your AI.

Start with the benchmark, environment, trajectory set, or dataset your model needs next.

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Security Researchers Building Cybersecurity Contexts for LLMs

We're a team of security researchers who build cybersecurity context for AI, whether it's for agents or for the LLM itself.

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Our Mission

To ensure that Large Language Models and AI Agents are cybersecurity capable, enabling enterprises to build AI solutions on accurate and robust cybersecurity context. Positioning us at the infrastructure layer of any cybersecurity based AI solution.

Meet the Founder

Hussein Muhaisen

Hussein Muhaisen

CEO, Founder, and Security Researcher

Supported by the Cybersecurity Industry

We have a network of world class security researchers and company founders that are helping us make our vision a reality.

Get Your LLM Better at Cybersecurity

Start by booking a call with us

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