Protect Your AI Implementation

When deploying generative AI systems like large language models (LLMs), it can be challenging to monitor everything they're saying on your behalf or to detect attacks targeting them. Glaider addresses these challenges by protecting your AI from attacks and manipulation, giving you visibility into its operations, and allowing you to define behaviors it should avoid. This means you can ensure your AI systems are not only secure but also align with your intended use, maintaining control over their outputs and preventing unintended consequences.

Traditional security measures often fail to address the unique vulnerabilities of AI models, such as prompt injection attacks that manipulate AI behavior. Glaider is specifically designed to protect against these AI-centric threats. It seamlessly integrates with your existing applications, offering features like real-time detection, adjustable strictness levels, and automated enforcement of security policies. This ensures your AI models remain secure without compromising performance or requiring significant changes to your workflows.

Classical guardrails rely on predefined rules and filters to block known malicious inputs, which can be limited and inflexible against evolving threats. Glaider, on the other hand, uses advanced, real-time analysis to detect and prevent prompt injection attacks—even those that are sophisticated or previously unknown. This dynamic approach allows Glaider to adapt to new attack patterns, providing a more robust and comprehensive defense for your AI systems compared to traditional guardrails.