The Runtime Boundary for Autonomous AI
Boundaries is Zenity's runtime enforcement engine. Steer on every agent action, on every platform, in real time.
Recognized by
Without Rules, Your Agent is Just a More Expensive Intern
Autonomy, Governed in Real Time
Boundaries makes it possible to let agents run unsupervised, stepping in while an agent is deciding what to do next, not after it’s already done, without losing what a human reviewer used to catch. An agent that touched sensitive data three steps ago and is now sending something outbound gets stopped, even though neither step looks risky by itself, the same protection applies everywhere that agent runs, as adoption grows.
Sees the full chain, and intent
Multi-step exfiltration and privilege-escalation chains get stopped before they complete, not flagged after the fact. About a third of Zenity's out-of-the-box rules are built this way.
One rule, every platform, no gaps
Write a rule once and it's already enforced on Copilot, ChatGPT Enterprise, Agentforce, Bedrock, coding agents, and homegrown builds, so a new AI service doesn't mean a new policy project.
Confidence before enforcement
See exactly what a rule would have caught before it can block anything, so turning it on doesn't mean gambling with production.
How Boundaries Steers Agents in Real Time
Write policy to steer agents at the decision layer
Start from Zenity's library of prebuilt rules and customize, or write a policy from scratch. A built-in AI assistant turns a plain-language request into a working rule, so you don't need to learn a new language to get started.
Key Features
Snippet library: Start from prebuilt examples, like blocking a confidential project by name or gating agent identity, then customize.
AI policy assistant: Describe the rule you want in plain language and get working policy back, ready to review and edit.
Conflict detection: The engine flags rules that duplicate or contradict an existing one before you activate it, so your rule set doesn't sprawl into something unmanageable.
Policy Patterns Being Written
Boundaries wasn't built around generic threat categories. It was built to encode the specific rules regulated enterprises already have and had no way to enforce.
Real Agent Attack Scenarios:
Confidential project gating
A global financial services firm blocks any agent message that references a named confidential project, before the term ever lands in the model's context.
Agent identity gate via identity provider
The same firm requires every agent to have an active, registered human owner. If that identity is deactivated or orphaned, the agent is steered away from acting at all.
Third-party domain blocking
A global asset manager blocks tool calls to specific third-party domains across every agent with one rule, closing a gap its network proxy wasn't catching.
Trusted by Forward-Looking Security Leaders
“With Zenity we were able to build a program to remediate existing vulnerabilities with a product that relies on self service and auto-fix so we can scale.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“We needed a way to partner with the business. Zenity gives us confidence to continue enabling our employees to innovate with AI Agents and applications.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"Zenity provided a preventative layer to proactively reduce security violations of our Agentic AI use. As a result, we saw tremendous growth in cross-departmental adoption of AI Agents."
Reduction in security violations
High-risk violations automatically remediated
"With Zenity, we identified and managed risks from a huge attack surface containing over-shared resources that had access to sensitive data, DLP bypass routes, and misconfigured AI Agents."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
“With Zenity we were able to build a program to remediate existing vulnerabilities with a product that relies on self service and auto-fix so we can scale.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“We needed a way to partner with the business. Zenity gives us confidence to continue enabling our employees to innovate with AI Agents and applications.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"Zenity provided a preventative layer to proactively reduce security violations of our Agentic AI use. As a result, we saw tremendous growth in cross-departmental adoption of AI Agents."
Reduction in security violations
High-risk violations automatically remediated
"With Zenity, we identified and managed risks from a huge attack surface containing over-shared resources that had access to sensitive data, DLP bypass routes, and misconfigured AI Agents."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
“With Zenity we were able to build a program to remediate existing vulnerabilities with a product that relies on self service and auto-fix so we can scale.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“We needed a way to partner with the business. Zenity gives us confidence to continue enabling our employees to innovate with AI Agents and applications.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"Zenity provided a preventative layer to proactively reduce security violations of our Agentic AI use. As a result, we saw tremendous growth in cross-departmental adoption of AI Agents."
Reduction in security violations
High-risk violations automatically remediated
"With Zenity, we identified and managed risks from a huge attack surface containing over-shared resources that had access to sensitive data, DLP bypass routes, and misconfigured AI Agents."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
Analyst Recognition & Research Coverage
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