About Operant AI
Operant AI is a runtime application defense platform designed to secure the modern AI landscape. It provides a comprehensive security layer that spans from underlying infrastructure to live APIs and autonomous agents. By employing a unique "3D" approach—encompassing discovery, detection, and defense—the platform aims to secure the "cloud within the cloud," including internal services and identities that often sit beyond traditional firewalls. It focuses on mitigating critical runtime risks such as data exfiltration, prompt injection, and model theft in live production environments, ensuring that organizations can scale their AI initiatives without compromising security or privacy.
The platform operates through a single-step helm deployment, requiring no code instrumentation or complex integrations. Once active, it automatically maps the application's live blueprint, identifying both managed and unmanaged agents as well as ghost or zombie APIs. One of its standout technical capabilities is the inline auto-redaction of sensitive data, which ensures data privacy and governance without slowing down development cycles. It also includes specialized modules like the Agent Protector for monitoring agentic behavior patterns and the MCP Gateway for managing Model Context Protocol security risks, providing real-time visibility and controls for every server and connection in the environment.
Operant is built for security, platform, and development teams within organizations scaling AI applications. It is particularly relevant for AI-native companies and enterprises in highly regulated industries that need to operationalize autonomous agents while maintaining strict security standards. The solution supports all major cloud providers, including AWS, Azure, and Google Cloud, as well as self-managed Kubernetes environments like OpenShift. Because it doesn't price by user count, it encourages collaboration across different departments during the security lifecycle, allowing dev, sec, and ops to work from a shared source of truth.
What sets Operant apart is its recognition as a featured vendor across five critical Gartner AI security categories for 2025. Unlike traditional solutions that rely on VPC mirroring—which can introduce performance overhead and cost—Operant provides full visibility of all live API activities without such penalties. Furthermore, it offers extensive coverage for the OWASP Top 10 lists for APIs, LLMs, and Kubernetes, providing over 80% detection rates for top threats within a single, unified platform rather than a fragmented set of niche tools.
Operant AI FAQs
Is there a free trial available for Operant AI?
Yes, a 7-day trial is available where the Operant team works with you to get the platform running quickly. This allows teams to test all discovery and defense capabilities in their own environment.
How is Operant AI deployed into my environment?
The platform is deployed via a single-step helm install for any Kubernetes cluster version 1.25 or higher. This process takes less than five minutes and requires zero code instrumentation or integrations.
Does Operant support multi-cloud deployments?
Yes, Operant supports all major cloud providers including AWS EKS, Azure AKS, and Google Cloud GKE. It also supports self-managed Kubernetes environments such as OpenShift.
Does the platform use VPC Mirroring for API visibility?
No, Operant does not use VPC mirroring, avoiding the associated cost, performance, and security overhead. It provides full coverage of live API activities including internal, 3rd party, and AI APIs.
How does Operant protect sensitive data during AI interactions?
The platform utilizes Inline Auto-Redaction of sensitive data to maintain privacy and governance. It secures data-in-use as it flows through the live application stack, preventing unauthorized data exfiltration.
