Stop Agent Risk Before Deployment
Enforce guardrails for agent configuration, permissions, and integrations managing vulnerabilities before agents ever run.
Recognized by
Most Agents Go Live Without a Security Review
Guardrails That Don't Slow Teams Down
AISPM is purpose-built so security guardrails and agent adoption don't have to trade off against each other.
Evaluate every stage
Configuration and permissions are evaluated against policy before an agent goes live, so overly broad access gets flagged as a setup mistake instead of a production incident.
Correlate risks quickly
The same guardrails apply whether an agent is embedded in a SaaS platform, custom-built, or running on an endpoint, with stricter policy where it's needed and lighter policy where it isn't.
Enforcement that doesn't wait on a person
Playbooks act on a new violation automatically, whether that means alerting a team or applying a fix, so posture issues don't sit in a queue.
Risk Assessment Purpose-Built for AI Agents
Every agent, found and inventoried
AISPM scans across SaaS platforms, custom frameworks, and endpoints to build a complete inventory of agents, including ones security never signed off on.
Key Features:
Continuous scanning across SaaS, custom, and endpoint deployments.
Full configuration, permission, and tool-access data for every agent found.
Ownership and related-resource ties surfaced for every agent discovered.
Posture Checks Across Every Agent Deployment
AISPM applies the same evaluation, whatever platform an agent runs on or however it got there.
Critical Protection Scenarios:
Agentic SaaS
AISPM evaluates configuration and permissions for agents embedded in platforms like Microsoft Copilot Studio, ChatGPT Enterprise, and Salesforce Agentforce.
Cloud & homegrown agents
AISPM applies the same posture checks to homegrown agents built on frameworks like Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
Coding and personal agents
AISPM extends posture management to coding assistants and local MCPs running on developer machines.
Environment-specific policy
AISPM applies stricter enforcement in production and more flexible policy in development or sandbox environments.
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
Start Securing Your
AI Agents Today
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