Real-time AI security guardrails are essential for intercepting and blocking threats such as prompt injections, data exfiltration, and PII leakage during inference, rather than relying solely on post-deployment monitoring. These guardrails operate in milliseconds, ensuring compliance with frameworks like the EU AI Act and NIST RMF without manual setup, and offer deployment flexibility across on-premises, private cloud, or hybrid environments. Among the solutions compared, Openlayer stands out for its ability to block threats at runtime, support multimodal testing, and automate compliance mapping, making it particularly suitable for regulated industries. Other tools like Arize AI, Fiddler AI, Arthur AI, and Superwise focus more on observability and governance but lack the real-time threat prevention capabilities provided by Openlayer. Integrating these security guardrails into existing CI/CD pipelines is streamlined, typically taking just a few hours, and they support multiple AI modalities to prevent security gaps across different data types.