AI Gatekeeper brings 3D Protection to AI and Agentic applications, everywhere you deploy AI.
Deploying AI Applications and Agents at scale means you need security coverage across LLMs, containerized models, internal and 3rd AI APIs as well as cloud services that power your GenAI environments.
AI Gatekeeper discovers, detects, and defends all of your AI workloads at runtime everywhere you deploy AI, across public, private and hybrid cloud platforms.
Operant AI Gatekeeper actively secures every layer of Cloud & AI applications, from K8s to APIs and MCP. Operant AI Gatekeeper redefines what security and AI eng teams can expect from an AI defense product, blocking the most OWASP Top 10 attacks across LLMs, Kubernetes, and APIs of any vendor in the market while instantly providing full visibility and governance across your entire AI application ecosystem from models to agents and beyond.
AI Gatekeeper brings in-line auto-redaction capabilities that enable AI and cloud workloads, including 3rd party and internal models and agents, to run and innovate in private mode, redacting sensitive data before it ever leaves your environment, while enabling your AI to work safely with data for business-critical use cases, making secure and responsible AI a business-driving reality.
Runtime-First & AI-Ready: Operates inside live environments to block threats in real time across Kubernetes, APIs, LLMs, and MCP servers. Offers in-line auto-redaction and model-aware protections against AI supply chain risks.
AI-Native Protection: Purpose-built for LLMs, agents, and AI stacks with model-aware protections and prompt injection blocking vs. retrofitted legacy security tools
In-Line Auto-Redaction - This critical industry-first capability redacts private data before it ever leaves your environment, making it possible to develop and govern AI models in privacy-regulated environments
Zero-Friction Super Fast Deployment: No agents, no VPC mirroring, no tuning. Installs in under 5 minutes with a single-step install or a single line of code
Works everywhere you deploy AI: From K8s to private cloud, AI Gatekeeper works everywhere you deploy AI
Enterprise-Grade: Support for enterprise-grade user access controls and management
Highlights
Discover AI: Comprehensive AI-SPM and AI Catalog across AI Applications, MCP (clients, tools and servers), APIs, Services, Agentic workloads, and more.
Detect AI: Runtime threat and risk detections across every application and cloud layer from infra to APIs and MCP, mapped directly to OWASP LLM and Agentic AI Top 10, plus MITRE Atlas.
Defend AI: Actively block prompt injection, data exfiltration, excessive access, rogue agents & more with real-time active defenses. AI Gatekeeper provides and enforces advanced guardrails that work across native and 3rd party LLMs, models and services, even across multi-cloud deployments.
AI Gatekeeper defenses run natively in your stack, which means you can activate blocking or inline auto-redaction at ingress and egress for a wide range of P*I and secrets data without making external calls.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing bills through a single usage-based dimension. You pay according to the number of API requests sent to AI Gatekeeper. Pricing scales with your request volume, so cost rises as your AI applications process more traffic. There are no separate tiers or instance sizes to select in the pricing table. You commit under a contract, and your total reflects the API request quantity you use. This structure ties spend directly to how much your AI applications call the gateway for request inspection and traffic security.
Top-of-mind questions for buyers
What counts as one API request to AI Gatekeeper for billing?
Each call your AI applications, agents, or MCP servers send through the gateway counts as one request. The gateway inspects each request for prompt injection, data leakage, and traffic security. Every inspected call adds to your metered total, whether it passes or gets blocked.
What happens to my cost if request volume grows during the contract?
Your contract includes a base request allocation with defined overage rates. If you pass the allocation, you pay the overage rate for extra requests. The vendor's team flags when you approach thresholds. Many customers move to a fitting allocation at renewal.
Does observe-only mode still count requests toward my bill?
AI Gatekeeper can run in observe-only mode, inspecting traffic without blocking. Since billing meters requests sent to the gateway, inspected requests count regardless of whether enforcement is active. You decide when to enable blocking based on what you see.
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Vendor refund policy
Free trial period available. No refunds for specified terms after free trial period ends. You can reach support@operant.ai for further questions.
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All with zero instrumentation, zero drift, and zero friction between Dev, Sec, and Ops.
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