AI Security for

When your AI fails, your reputation, compliance, and bottom line are all at risk. Gray Swan's security solutions, developed by the researchers who first identified AI vulnerabilities, protect against the attacks and exploits that can turn your AI investment into a liability. A two-line code change deploys bi-directional security, while our automated red-teaming continuously identifies vulnerabilities before attackers do—all without compromising performance.

Gray Swan is trusted by:

Secure AI DEPLOYMENT

Cygnal

Best-in-class AI application security. Deploy with confidence with a powerful AI safety layer to protect your AI endpoints. Get started with two lines of code.

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{ User Input }
Valid Use
{ User Input }
Adversarial Input
Red Teaming

Gray Swan Arena

The premier arena for AI red teaming. Master jailbreaking, compete for prizes, and unlock career opportunities in AI safety.

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AI security analysis

Shade

Harness the latest tools and results in adversarial AI to understand how your AI will stand up under the toughest conditions.

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frontiers

AI Safety & Security Research

Staying safe and secure in the AI era requires staying ahead of the changing threat landscape.

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Adversarial Inputs
Testing
Regular Use
Sensitive Data & PII
Policy Violations

99.98% Attack Block Rate. Don't Wait for Disaster.

Every unprotected AI interaction is a potential crisis waiting to happen.

What are the top risks of AI?

AI is fundamentally different from current software systems. While all large-scale software carry risks, AI systems can amplify them and introduce new risks. Whereas traditional software follows clear logical rules specified by programmers, modern AI systems respond to developer and user commands in unexpected and potentially harmful ways.

Hijacking

When you deploy an AI system, it won't just follow the instructions you provide it, but also instructions provided by the user.  Trying to build an AI that serves as a customer service representative? A malicious user can trick the system into initiating false service claims.  Interested in using AI to parse incoming emails to your business?  A spammer could trick the system into misclassifying an incoming message or even into exfiltrating sensitive data.  The underlying challenge here is known as prompt injection vulnerabilities, the ability of users to effectively "reprogram" the AI models.  Despite being a well-known vulnerability, extremely little progress has yet been made in mitigating this risk, with most companies explicitly ignoring this risk.

Production of harmful or illegal content

AI models are trained on a large amount of content from the internet, which could contain potentially harmful information or content that they are legally forbidden to generate (such as copyrighted content).  Although most models put safeguards in place to prevent such misuse, malicious users can easily circumvent these safeguards, and access the "uncensored" capabilities of the LLM.  In many cases, this can raise substantial legal questions regarding the deployment of such problems, and many organizations have thus far avoided using the systems due to this risk.

Hallucination and accidental misuse

Finally, some of the most common ill effects of LLMs come not through intentional malicious use of the model, but through accidental misuse, due to the tendency of these models to hallucinate false information, or provide harmful/illegal responses even to benign queries.

How Gray Swan addresses AI security risks

Gray Swan AI provides solutions that mitigate the risk of deploying AI systems in any setting.

Cygnal

Cygnal wraps your AI-powered applications with bi-directional security that blocks malicious inputs and filters harmful outputs.

Shade

Shade is a comprehensive AI security and safety evaluation suite.  We continuously integrate the latest results from adversarial AI research to continuously deliver concrete insights into how your deployment will behave under worst-case conditions.

The Gray Swan Arena is the premier venue for AI red teaming. Master jailbreaking, compete for prizes, and unlock career opportunities in AI safety.

  1. Pick Your Challenge
  2. Push AI to Its Edge
  3. Claim rewards

AI Research

Being at the forefront of new developments and fundamental discoveries about how AI can be made safe brings tremendous advantages when trying to stay ahead of these risks.

  • Learn how our research has shaped our products and services.
  • Stay on top of the latest advances from our labs.