“Operant’s real-time protection across the full agent toolchain — from MCP clients and endpoints to live, interactive agentic applications — lets technology leaders move fast without compromising customer privacy, making it a foundational control, rather than an afterthought.”

“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.”

“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.”

“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.” 

“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.” 

“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.”

“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.”