Netzilo launches runtime governance for AI agents on major platforms
▼ Summary
– Netzilo has expanded AI agent governance and runtime enforcement for Amazon Bedrock AgentCore and other major agent harnesses.
– AI agents are becoming a new enterprise edge, operating across cloud platforms, runtimes, devices, and on-premises systems.
– Netzilo’s Bring Your Own Governance provides consistent Observe → Detect → Respond capabilities across different agent platforms.
– The platform builds a runtime graph of agent behavior to detect threats like prompt injection, tool poisoning, and data exfiltration.
– Netzilo enforces deterministic Governance-as-Code controls, enabling real-time isolation or termination of compromised agents.
Netzilo has unveiled expanded runtime governance and enforcement capabilities for AI agents, now supporting Amazon Bedrock AgentCore and other leading agent harnesses as enterprises accelerate the shift from experimentation to full production deployment.
As AI agents become a new enterprise edge, they operate across a wide range of environments including cloud platforms, agent runtimes, orchestration frameworks, developer tools, user devices, mobile phones, and on-premises systems. This broad distribution creates a pressing governance challenge: security teams need a unified way to observe, detect, correlate, and respond to agent behavior no matter where the agent runs.
Netzilo’s solution is Bring Your Own Governance for AI agents. Instead of relying solely on the native capabilities of each platform, the platform integrates the full Netzilo behavior graph and enforcement layer directly into the agent itself. This delivers consistent Observe → Detect → Respond capabilities across diverse harnesses and execution environments.
“AI agent governance cannot depend on which platform exposes which integration point,” said Egemen Tas, CEO of Netzilo. “Enterprises need governance that follows the agent wherever it runs. With Netzilo AIDR, organizations can bring their own governance to Amazon Bedrock AgentCore and the broader agent ecosystem without accepting fragmented visibility, degraded enforcement, or platform-specific blind spots.”
The expanded governance now covers major AI agent harnesses, including Amazon Bedrock AgentCore, Microsoft Foundry, Microsoft Copilot Studio, CrewAI, LangGraph, Google Vertex AI, agents on user devices and mobile phones, and available on-premises harnesses.
Traditional integrations often limit governance to the telemetry, policy hooks, or controls exposed by each individual platform. This leads to inconsistent visibility and enforcement as enterprises adopt new frameworks or move agents between environments. Netzilo eliminates this dependency by making governance portable. Every agent receives the same level of behavioral visibility, detection, correlation, and response, regardless of the harness it runs on.
Netzilo AIDR builds a runtime graph of agent behavior, tracking tool calls, file reads, network requests, skill acquisitions, and multi-stage action sequences. The platform correlates behaviors that may appear harmless in isolation but signal risk when viewed together. This helps security teams detect threats such as prompt injection, indirect prompt injection, tool poisoning, capability hijacking, privilege escalation, and multi-stage data exfiltration.
The platform also enforces deterministic Governance-as-Code controls and can isolate or terminate a compromised agent in real time. This provides organizations with a runtime control plane for the agentic workforce, going beyond prompt-level supervision or 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 the organization’s control. Enterprises can preserve privacy, data sovereignty, and operational control while extending Zero Trust principles to autonomous AI agents.
(Source: Help Net Security)
