Netzilo extends its AI Detection & Response platform to Amazon Bedrock AgentCore and other AI agent harnesses, bringing unique governance to agent workforces
Netzilo, the company building the AI control plane for the agent workforce, announced enhancements to its AI agent governance and runtime enforcement capabilities for Amazon Bedrock AgentCore and other leading AI agent harnesses.
As companies move AI agents from experimentation to production, agents are becoming the new enterprise edge. They work across cloud platforms, agent runtimes, orchestration frameworks, developer environments, user devices, mobile phones, and on-premises systems. This rapid expansion has created new governance challenges. Security teams need one consistent way to observe, detect, correlate, and respond to agent behavior, regardless of where the agent is running.
Netzilo addresses this challenge with Bring Your Own Governance for AI agents.
Rather than relying solely on the native functionality exposed by each agent platform, the platform brings the full Netzilo behavioral graph and enforcement layer to the AI agent itself, enabling consistent monitoring->detection->response capabilities across different harnesses and execution environments.
“Governance of AI agents cannot depend on which platform exposes which integration points,” said Egemen TAS, CEO of Netzilo. “Enterprises need governance that follows agents wherever they run. Netzilo AIDR allows organizations to bring their own governance to Amazon Bedrock AgentCore and the broader agent ecosystem without accepting fragmented visibility, reduced enforcement, or platform-specific blind spots.”
Also read: AiThority interview with Matej Bukovinski, Chief Technology Officer at Nutrient
Netzilo currently extends governance across today’s leading AI agent harnesses, including Amazon Bedrock AgentCore, Microsoft Foundry, Microsoft Copilot Studio, CrewAI, LangGraph, Google Vertex AI, agents running directly on user devices and mobile phones, and available on-premises harnesses.
Traditional integrations often limit governance to telemetry, policy hooks, or controls exposed by individual platforms. This results in inconsistent visibility and enforcement as companies adopt new frameworks or move agents between environments. Netzilo eliminates this dependency by making governance portable. All agents receive the same level of behavioral visibility, detection, correlation, and response, regardless of the harness in which they run.
Netzilo AIDR builds a runtime graph of agent behavior, including tool invocations, file reads, network requests, skill acquisition, and multi-step action sequences. The platform correlates behaviors that may seem benign on their own but pose a risk when viewed together, enabling security teams to detect threats such as prompted injection, indirect prompted injection, tool poisoning, feature hijacking, privilege escalation, and multi-stage data leaks.
The platform also enforces deterministic governance controls and can isolate or terminate compromised agents in real-time. This provides organizations with a runtime control plane for agent employees beyond prompt-level monitoring and static access control.
For organizations adopting Amazon Bedrock AgentCore and other agent platforms, this creates a consistent governance model that keeps data, policy, and enforcement under organizational control. Enterprises can extend Zero Trust principles to autonomous AI agents while maintaining privacy, data sovereignty, and operational control.
