Securing Autonomous AI Agents with TrendAI & NVIDIA OpenShell | Trend Micro (US)

Learn how TrendAI and NVIDIA OpenShell help secure autonomous AI agents and build trusted enterprise AI systems with stronger visibility and control.

By: Fernando Cardoso, King Cao, Truman Coburn, Bestin Koruthu Mar 16, 2026 Read time: ( words)

Agentic AI is rapidly redefining how software systems operate. Instead of responding to single prompts, AI agents can now plan tasks, invoke tools, modify their own execution paths, and operate continuously over time. While this shift unlocks powerful new use cases, it also introduces an entirely new security and governance challenge for enterprises. Agentic AI is moving from experiments to production systems, forcing enterprises to confront autonomy at scale for the first time. For CISO and AI platform leaders, this creates a new governance problem.

NVIDIA OpenShell is an open source runtime to build and deploy autonomous, self-evolving agents more safely with planning, memory, and tool execution. TrendAI is working with NVIDIA to bring governance, risk visibility, and runtime enforcement directly into the agent lifecycle through integration with OpenShell.

Together, we’re addressing one of the most pressing questions facing enterprise AI leaders today: How do you safely deploy autonomous AI agents at scale without sacrificing control, compliance, or trust?

Traditional AI security models were built around stateless interactions: prompts go in, responses come out. Agentic AI breaks that assumption.

This new wave of self-evolving agents can:

This autonomy fundamentally changes the attack surface. Risk no longer exists only at inference time—it extends across skills, tools, memory, execution environments, and agent decision logic . Static controls alone are insufficient.

Enterprises need visibility into what agents can do, what they actually do, and how those behaviors align with policy —in real time.

The NVIDIA OpenShell runtime, introduces foundational elements such as:

Rather than prescribing a single security solution, OpenShell is open source and designed to enable ecosystem partners to extend and strengthen its security posture for enterprise use cases.

That is where TrendAI enters the picture.

TrendAI brings decades of foundational knowledge in behavioral analysis, sandboxing, threat intelligence, and policy enforcement to agentic AI. For OpenShell, this expertise is applied through a layered architecture that secures agents before execution, during runtime, and after an action occurs .

1. Governance often breaks down once agents begin acting autonomously

Enterprise administrators define AI governance and compliance policies centrally using TrendAI Vision One™. These policies are distributed directly into the OpenShell runtime, ensuring that agent behavior aligns with organizational requirements for security, compliance, and data handling. This shifts governance from a theoretical policy document into an enforceable runtime control.

2. Skill and Tool Risk Visibility with Agentic Scan

Agent capabilities are only as safe as the skills and tools they can access. Agentic Scan continuously inventories and analyzes:

Declared skill behavior is compared against observed behavior, helping identify deceptive, unsafe, or non‑compliant functionality before it becomes operational risk.

For example, an agent may attempt to invoke an unapproved MCP service or access a tool outside its declared scope, creating hidden exposure that static reviews would miss.

3. Dynamic Behavioral Analysis

Some threats do not reveal themselves until code executes.

TrendAI applies dynamic analysis by executing skills and tools in isolated environments to observe real runtime behavior for:

The result is high‑fidelity risk intelligence that goes beyond static inspection.

4. Policy Enforcement at Runtime Security controls are enforced inline—at the moment agents attempt to act.

Based on governance policies, reputation intelligence, and behavioral analysis, OpenShell agents can be prevented from:

This enforcement happens without disrupting approved workflows, preserving innovation while maintaining control.

5. AI‑Specific Threat Protection

Agentic systems introduce new classes of AI‑native attacks, including:

TrendAI Vision One AI Application Security™ plugin inspects prompts, responses, and model interactions, enforcing policy across both local and external inference paths.

6. Continuous Monitoring and Auditability

Long‑lived agents demand continuous oversight.

Telemetry from agent execution, tool usage, and sandbox environments flows into TrendAI’s agentic SIEM, enabling:

This provides enterprises with the visibility required to operate autonomous systems responsibly.

7. Static trust models fail as agent ecosystems and threats constantly change.

TrendAI’s global threat intelligence continuously scores:

This intelligence feeds directly into governance and enforcement decisions, allowing security posture to adapt as threats evolve.

OpenShell does not exist in isolation. It is part of NVIDIA’s broader agentic ecosystem, and NVIDIA Agent Toolkit software including NVIDIA AI‑Q and the NVIDIA NeMo Agent Toolkit , which support agent orchestration, observability, and reuse at scale.

TrendAI’s security integrations extend across these frameworks, enabling consistent governance and risk management as agentic applications move from developer environments into enterprise and AI factory deployments.

The collaboration between NVIDIA and TrendAI defines how enterprises should deploy agentic AI at scale, moving from experimental autonomy to enterprise‑grade systems

Enterprises gain a practical, scalable path to deploying autonomous AI agents without surrendering control, trust, or accountability .

Agentic AI does not have to be a choice between innovation and security. With OpenShell and TrendAI, it becomes a governed, observable, and enforceable platform—ready for the enterprise.