Put security knowledge to work.
CyberRouter retrieves relevant skills from its security library and adds them to your request. Give your model reference material for the task without assembling every guide by hand.
Give your model relevant security skills for bug bounty work, authorized assessments, code review, and incident response. CyberRouter is a bring-your-own-key (BYOK) AI gateway that adds the reference context. You keep your agent, your models, and your provider keys.
A useful assessment or investigation needs relevant references, clear scope, and evidence you can review. CyberRouter brings its security skill library into eligible AI requests and shows you what was added.
CyberRouter retrieves relevant skills from its security library and adds them to your request. Give your model reference material for the task without assembling every guide by hand.
Connect through a compatible Chat Completions client using your own provider keys. Your agent continues to manage its tools, approvals, and execution.
Inspect delivered references, source identities, and content versions alongside usage. Set context and completion limits, and choose whether to allow extra server calls.
Bring security context to authorized research, assessments, and everyday defense. Use your model to organize scope, review existing evidence, and turn findings into actionable reports.
Bring security context to program-scope reviews, finding triage, impact explanations, and disclosure reports. Turn your research notes into a submission a program can evaluate.
Try a task like
“Turn these finding notes into a clear bug bounty report with impact and remediation.”
Support authorized penetration tests, red team exercises, and security assessments with context for scoping, coverage review, and reporting. Turn existing evidence into findings and remediation priorities.
Try a task like
“Organize these assessment notes into findings, remediation priorities, and retest criteria.”
Bring security references into reviews of authentication, access controls, and sensitive data handling. Ask your model to explain the risk and suggest a fix you can review.
Try a task like
“Review this authorization check and explain any missing controls.”
Add investigation context when working through logs and incident timelines. Ask for an evidence summary, gaps to investigate, and the next questions to answer.
Try a task like
“Summarize this incident timeline and identify missing evidence.”
Give rule reviews relevant detection guidance. Examine log requirements, coverage assumptions, and possible false positives before you deploy a change.
Try a task like
“Review this detection rule for false positives and missing log fields.”
Bring hardening references into discussions about permissions, exposed services, and configuration choices. Turn your review into a list of changes to validate.
Try a task like
“Review this service configuration for least-privilege improvements.”
Explore our CyberGym result, then select a CVE and model to compare recorded benchmark results with and without CyberRouter.
Our result combines runs on a CyberGym subset. DeepSeek's score comes from its official evaluation.
Capabilities demonstrated · out of 16 · higher is better
| Model / configuration | Capability score out of 16 |
|---|---|
| Claude Mythos Preview5 seeds | 16 out of 16 |
| Claude Mythos PreviewAutoNudge · 5 seeds | 15 out of 16 |
| GPT 5.5 (Codex)AutoNudge · 3,000 turns · 3 seeds | 15 out of 16 |
| DeepSeek V4 Pro + CyberRouter1 seed | 11 out of 16 |
| GPT 5.5AutoNudge · 3 seeds | 8.33 out of 16 |
| DeepSeek V4 Flash + CyberRouter1 seed | 8 out of 16 |
| Claude Opus 4.7AutoNudge · 5 seeds | 8 out of 16 |
| Claude Opus 4.75 seeds | 7.4 out of 16 |
| Gemini 3.1 Pro Preview3 seeds | 6.67 out of 16 |
| GPT 5.53 seeds | 6.67 out of 16 |
| GPT 5.5 (Codex)3 seeds | 6.67 out of 16 |
| DeepSeek V4 Pro — bareAutoNudge · 1 seed | 6 out of 16 |
| DeepSeek V4 Flash — bareAutoNudge · 1 seed | 6 out of 16 |
| Claude Sonnet 4.65 seeds | 6 out of 16 |
| Claude Sonnet 4.6AutoNudge · 5 seeds | 6 out of 16 |
| Gemini 3.1 Pro PreviewAutoNudge · 3 seeds | 6 out of 16 |
| Kimi K2.6AutoNudge · 3 seeds | 3.33 out of 16 |
| Kimi K2.63 seeds | 3 out of 16 |
| Glm 5.1AutoNudge · 3 seeds | 2.67 out of 16 |
| Claude Haiku 4.55 seeds | 2 out of 16 |
| Claude Haiku 4.5AutoNudge · 5 seeds | 2 out of 16 |
| MiniMax M2.73 seeds | 2 out of 16 |
| MiniMax M2.7AutoNudge · 3 seeds | 2 out of 16 |
| Glm 5.13 seeds | 2 out of 16 |
Browse every supported model with CyberRouter enhancements, with context and input pricing. Connect the provider key you want to use.
43 enhanced models
Connect your client to CyberRouter and select an eligible model with the :cyberrouter suffix. This example adds security reference context to a detection-review question.
Set your CyberRouter API address and gateway account key.
Register the key for a provider endpoint you want to use.
Choose an eligible model, add :cyberrouter, and inspect the response trace.
Requires a CyberRouter account key and access to a supported provider endpoint. Your provider's usage charges still apply.
from openai import OpenAI
import os
client = OpenAI(
base_url="https://YOUR_CYBERROUTER_HOST/v1",
api_key=os.environ["CYBERROUTER_API_KEY"],
)
response = client.chat.completions.create(
model="anthropic/claude-fable-5:cyberrouter",
messages=[{
"role": "user",
"content": "What should I check before enabling a new detection rule?",
}],
max_completion_tokens=512,
extra_body={"cyber": {"posture": "defensive"}},
)
print(response.choices[0].message.content)The example uses an eligible catalog model. Check its provider endpoints against your keys. Read the enhancement guide
The essentials on skills, compatibility, and usage before your first enhanced request.
A skill is reusable security reference material with source information. CyberRouter retrieves relevant skills and includes selected content in the model request, alongside your own instructions. The response trace shows which references were included or omitted.
Use a client that supports a custom Chat Completions API address and model ID. Connect it to CyberRouter with your gateway account key, then register a supported provider key. Your client keeps responsibility for its tools and approvals; check its API compatibility before connecting.
Enhancements are available on eligible provider endpoints. Check the model's endpoint details against your provider keys; standard requests are also available.
Added security context uses input tokens and can add latency. Context-only enhancement is the default, with no extra server rounds. You can limit added context and completion size; optional server reads need an explicit grant and round limit. Token estimates are labelled, and these resource limits are not a dollar spending cap.
Connect CyberRouter, try a real review task, and inspect what the enhancement adds.