Operant AI is a comprehensive Runtime AI Application Defense Platform designed to actively protect every layer of live cloud and AI applications, from infrastructure to APIs. By integrating discovery, detection, and defense into a single platform, Operant AI secures the entire "cloud within the cloud," including all APIs, services, and identities beyond traditional firewalls. This proactive approach safeguards against critical runtime attacks such as data exfiltration, AI supply chain attacks, model theft, and prompt injection. With a single-step helm deployment, security and platform teams gain real-time visibility and cloud-native defense for their entire cloud application stacks, enabling faster and more secure product and AI deployments without security hindrances.
Key Features and Functionality:
- 3D Runtime Defense: Combines discovery, detection, and defense to provide real-time protection across all layers of cloud and AI applications.
- AI Gatekeeper: Extends runtime AI protection beyond Kubernetes to hybrid and private clouds, offering defenses against rogue agents, including trust scores, agentic access controls, and threat blocking for Model Context Protocols (MCPs) and Agentic AI Non-Human Identities (NHIs).
- Adaptive Internal Firewalls (AIFs): Enforces Zero Trust principles for AI APIs across the entire AI application stack, ensuring secure data flows without disrupting development processes.
- In-Line Auto-Redaction: Automatically redacts sensitive and personally identifiable information (PII) as it flows through the application stack, maintaining data privacy without code changes.
- Single-Step Deployment: Offers a single-step helm installation requiring no code instrumentation or complex integrations, allowing organizations to deploy in under five minutes.
Primary Value and Problem Solved:
Operant AI addresses the growing need for advanced runtime security in modern cloud and AI environments. By providing real-time, comprehensive protection across the entire application stack, it enables organizations to innovate and deploy AI-driven products faster and more securely. The platform's proactive defense mechanisms mitigate risks associated with AI-specific threats, such as prompt injection, data exfiltration, and model theft, ensuring the integrity and security of AI applications without impeding development speed.
