AI agents don’t just answer questions. They take actions: calling tools, reaching into systems, and working for your users. That’s what makes them valuable, and it’s why security is the first question to answer before any agent goes into production.
The questions every organization should ask
- Who is this agent, and how do we know?
- What is it allowed to do, and is that checked every time it acts?
- What happens if it tries to do something it shouldn’t?
- What is it doing on our network?
Layered security for agentic AI
The VMware platform answers these questions with controls at each layer:
|
Control |
What it does |
|
AgentMinder |
Gives each agent its own identity and checks its permissions every time it acts |
|
Tanzu |
Runs agents in a deny-by-default sandbox, so they can only do what’s explicitly allowed |
|
vDefend and Avi |
Extend security down to agent network traffic |
Together, these cover identity, runtime, and network, so no single control has to carry the whole load.
Why it matters
Security and governance are what turn an AI pilot into a trusted production service. When you can show how every agent is identified, contained, and monitored, you can move forward with confidence, and so can your auditors, security team, and leadership.
How ClearBridge helps
ClearBridge builds security and governance into Private AI designs from day one. We help you define who approves agents, what they can reach, and how their activity is monitored and audited, then put the right controls in place.
Planning to put AI agents into production? Talk to ClearBridge about securing them.
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