Secure Your

APIs

MCP

Cloud Applications

AI Models

AI Agents

K8s Workloads

LLMs

3D Runtime Protection for AI and Cloud

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Operant is named in the Gartner® Market Guide for AI Trust, Risk and Security Management.

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Real-time 3D Protection Includes
Discovery, Detection, and Defense

Across every layer, every workload, and every cloud.

Discover, Detect & Defend your entire AI stack

Get 3D Defense for your entire AI application ecosystem from models to APIs. Proactively block critical LLM and GenAI threats like prompt injection and data exfiltration while maintaining full data privacy and data governance with In-Line Auto-Redaction of Sensitive Data. Operant actively secures AI prompts, interactions, agents, and all data-in-use as it flows through your live application stack so you can scale your AI applications faster and safer.

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API Threat Protection Beyond the WAF. Also Protecting You East::West

Bring 3D defense to your entire API ecosystem in real-time with instant discovery, detection, and defense for all of your 3rd party API endpoints and internal connections. Discover and protect your entire live API blueprint, including ghost and zombie APIs, shut down unauthorized access, and actively block OWASP Top 10 API attacks, all without the cost, resources, or overhead of VPC mirroring.

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Cloud + Applications are intertwined, their security should be too.

Get active defense for your cloud applications across your entire Kubernetes environment, whether multi-cloud, hybrid, or self-managed. Operant secures every interaction between every service, every API, and every data store in real-time. Scale securely with unprecedented transparency and control, all in a single-step install.

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Enterprise-Grade Security for MCP

Real-time visibility and controls for every MCP server, client, tools, and connections in your environment, with MCP registries, white list/black lists, and NHI access controls, so your entire team can develop AI and Agents, safer and faster

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Trust & Security for your entire Cloud and AI ECOSYSTEM

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GUIDE

2026 Guide to Securing MCP

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Operant detects and blocks the most dangerous modern attack vectors in real-time

AI & Security Leaders ♥️ Operant

Don't just take our word for it. Across the industry, experts share how Operant's innovative solution secures today's cloud for tomorrow's cyber-resilience.

“Operant's in-line auto-redaction enables teams to develop AI faster with Kubernetes-native privacy controls that span all the way from infra to AI APIs, so that security, platform, and developers can all have what they need as they work together to build today's leading AI tech.”

Sarah Novotny

Board Member of CoSAI

“Operant's runtime enforcement gives companies the ability to secure their next-gen K8s initiatives without limiting their ability to scale. The combination of innovation and simplicity that Operant's approach brings is rare and powerful.”

Raj Yavatkar

CTO, Juniper Networks

“The latest from Operant AI is what I'm excited about as far as where the AI security use case is going, and a great example of what's possible focusing on emerging runtime use cases. AI is just another service/application - either an API or self hosted - and runtime application visibility via ADR approaches is going to offer organizations a lot of cool protections.”

James Berthoty

Latio Tech

“The Shadow Escape attack demonstrates the absolute criticality of securing MCP and agentic identities. Operant AI's ability to detect and block these types of attacks in real-time and redact critical data before it crosses unknown and unwanted boundaries is pivotal to operationalizing MCP in any environment, especially in industries that have to follow the highest security standards.”

Donna Dodson

Former Chief of Cybersecurity at NIST

“Secure AI applications like Cohere’s North demand rigorous testing across complex components. Operant’s Woodpecker simplifies this with open-source red teaming, enabling early vulnerability detection and encouraging secure AI adoption.”

Prutha Parikh

Head of Security at Cohere

“Securing AI Agents is a critical priority for AI-native companies because you can’t hand off that level of autonomy at scale to these systems without appropriate controls in place.”