When deploying traditional software, you need firewalls and monitoring for solid cybersecurity. But when you’re deploying AI-powered applications, how are you protecting them? Cygnal is Gray Swan's answer: a powerful AI safety layer to protect your AI endpoints. Beyond cybersecurity, Cygnal is AI security.
Cygnal is designed to secure AI models through advanced input filtering, output filtering, and continuous monitoring to ensure security and adherence to your policies.
Cygnal supports high-performance streaming, multimodal inputs and outputs, customizable policies, and real-time adaptation to violation attempts.
Traditional software follows clear logical rules specified by programmers, but modern AI systems respond to developer and user commands in unexpected and potentially harmful ways. Cygnal is designed to give developers substantially improved degrees of safety and control over the models they deploy.
At Gray Swan, safety and security always come first. We subject Cygnal to rigorous, ever-evolving safety and security testing that is continually being trained and adapted to ensure that it remains as resilient as possible under pressure. As new threats and attack vectors arise in the wild, Cygnal learns and fortifies itself against them, leading to ever-increasing robustness and adherence to your policies.
Cygnal is designed to deliver blazing fast performance with minimal latency overhead. We work hard to optimize not just literal but also perceived latency, especially for streaming use cases, so that you can take advantage of all the raw speed of your underlying model. Whether you need natural language understanding, multimodal inputs and outputs, or the ability to call functions, Cygnal delivers with precision and efficiency. As a text moderation endpoint, Cygnal outperforms other leading solutions while offering superior robustness.
For organizations that need to keep their AI close by, Cygnal can be deployed on-premises under an enterprise agreement. This option provides the ultimate in security and customization, allowing you to harness the future of secure AI while keeping your data within your own infrastructure. Contact us to learn more!
Accessing Cygnal is straightforward and flexible. Cygnal understands all popular formats for calling AI models, which means all you have to do is change one URL in your code, and Cygnal will adapt to the target model’s API. Want to get started with just testing on a small fraction of traffic? Easy–you can configure everything with simple URL parameters, or in the Gray Swan dashboard. This compatibility ensures seamless integration into your existing workflows and applications, allowing you to leverage Cygnal’s power with ease.
Start using the Gray Swan API to generate completions in under 5 minutes.
1import os
2from openai import OpenAI
3client = OpenAI(
4 api_key=os.environ.get("OPENAI_API_KEY"),
5 base_url="https://api.grayswan.ai/cygnal",
6 default_headers={
7 "grayswan-api-key":
8 os.environ.get("GRAYSWAN_API_KEY")
9 }
10)
11
12completion = client.chat.completions.create(
13 model="gpt-4.1",
14 messages=[
15 {
16 "role": "user",
17 "content": "Give an example email."
18 }
19 ]
20)Cygnal offers the latest in safe and secure AI while also featuring leading performance on blocking harmful requests and allowing permitted requests. A demonstration of our commitment to deliver capabilities without compromising on robustness, it strikes an unprecedented balance between the two.
Industry-leading attack block rate
Cygnal delivers an industry-leading attack block rate of 99.98% in a double-blind public evaluation of OpenAI models from hundreds of thousands of red teaming attempts, turning the least-robust model into by far the most-robust model with only a 0.02% attack success rate (ASR).
Best-in-Class Precision Across Safety Benchmarks
Cygnal outperforms leading model guards from Microsoft, NVIDIA, OpenAI, Meta, and others, achieving the highest combined AUPR (91.0%) across all benchmarked safety datasets. AUPR (Area Under the Precision-Recall Curve) is a key measure of how effectively a model identifies harmful content while minimizing false positives. These results confirm Cygnal’s state-of-the-art moderation accuracy, offering both strong block rates and low false detection—ideal for production safety systems.
Lowest False Positive Rate in the Industry
Cygnal sets the new standard in content safety by achieving the lowest combined FPR95 (16.5%) across all benchmarks—outperforming top systems from Microsoft, NVIDIA, Meta, OpenAI, and others. FPR95 measures the false positive rate at 95% recall, showing how often a safe input is incorrectly flagged when nearly all harmful content is caught. A lower score here means stronger trustworthiness and less user friction—making Cygnal the most precise and production-ready moderation system in its class.
Contact [email protected] to explore Cygnal solutions for your organization.
First 1B Tokens per month
1B - 10B Tokens per month
+10B Tokens per month
Higher volumes, on-premise deployments, and other specialized use cases.
Best-in-class performance with unparalleled security and safety. Deploy with confidence without sacrificing intelligence.
Harness the latest tools and results in adversarial AI to understand how your AI will stand up under the toughest conditions.
Staying safe and secure in the AI era requires staying ahead of the changing threat landscape.
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