Tool Introduction

Zenity AI Security Agent is built to secure the entire lifecycle of AI agents operating across enterprise environments. It addresses the growing risks tied to autonomous AI systems like copilots, chatbots, and workflow orchestrators. These agents often act without human oversight, access sensitive data, and trigger system actions—raising security and compliance concerns.

Zenity provides real-time control, visibility, and automated defense for these deployments. It covers buildtime policy enforcement through to runtime monitoring and response. The platform targets threats traditional tools miss: prompt injection, data leakage, over-permissioned access, and agent logic abuse.

Zenity supports a wide range of environments including SaaS platforms like Microsoft 365 Copilot and ChatGPT Enterprise, custom in-house agents on cloud services, and endpoint-based AI tools.

Demo Available?

Zenity offers demos by request through its website. No signup or credit card is required to book.

Tool's Accuracy

Zenity AI Security Agent reports a 90% reduction in security violations and 95% automatic remediation of high-risk issues. Enterprise clients also cite 80% risk reduction across environments with over 150,000 resources.

Aggregate Rating

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Detailed Overview

Zenity helps enterprises govern AI agent activity with real-time insight, threat prevention, and full-lifecycle policy enforcement.

What Zenity AI Security Agent Does

Zenity provides full-lifecycle security for enterprise AI agents. It automatically discovers agents across SaaS platforms, cloud services, and endpoints—even shadow deployments. The platform offers observability into agent behavior: which tools they use, what data they access, how they execute tasks. Zenity enforces policies before deployment (buildtime) and during operation (runtime). It detects risky actions like prompt injection or unauthorized data usage using behavioral analysis. Inline controls block or remediate threats in real time. Detailed logging supports audits and investigations.

Who Zenity AI Security Agent is for

Zenity is designed for enterprise security teams managing risk from large-scale AI adoption. It's built for organizations in regulated industries with complex tech stacks. Platform engineers building custom agents benefit from its buildtime controls. DevOps teams gain visibility into CI/CD automation risks. Business units deploying SaaS-based copilots can use Zenity to ensure safe operations across HR, finance, marketing, or IT workflows.

Top Differentiators

Agent-centric model focuses on logic-driven risks unique to autonomous AI tools.
Full-lifecycle coverage spans from policy setup at buildtime to runtime response.
Unified data model links static permissions with live behavioral signals.
Intent detection uncovers threats missed by prompt firewalls or legacy DLP.
Cross-environment visibility shows all agent activity from endpoints to cloud apps.

Introductory Video

Founding Year

2021

Target Industry

B2B, Enterprise, Finance, Healthcare, Legal, Government, Technology

Available Integrations

Microsoft Azure: Zenity AI Security Agent is a certified solution in the Azure Marketplace, allowing direct deployment and management through existing subscriptions.
Microsoft Copilot Studio: Provides native attack prevention, step-level monitoring, and policy enforcement for agents across departments like HR, finance, and marketing.
Microsoft 365 Copilot & Power Platform: Delivers posture assessment, permission evaluation, and monitoring of agent memory, tool use, and configuration changes.
Salesforce: Enables posture evaluation for customer data access, financial records handling, and external system integration.
GitHub Copilot, Cursor, Claude Desktop: Offers endpoint-level visibility to monitor agent activity and prevent sensitive data leakage on managed enterprise devices.
Azure AI Foundry, AWS Bedrock, Google Vertex AI: Supports discovery and unified security management for custom agents built on major cloud frameworks.
ChatGPT Enterprise & connected GPTs: Assesses data permissions and monitors configurations with API-based access controls.
APIs & Webhooks: Facilitates custom integrations to automate risk detection and enforce policies across diverse agent environments.

Free Trial: Includes a 30-day complimentary trial to explore the Zenity AI Security Agent platform.
Enterprise Package: Offers customized pricing based on your organization’s needs and scale. Available through AWS Marketplace and Microsoft Marketplace. Contact required for pricing details.

Pricing last verified: 01/24/2026
Official Source: https://zenity.io
Disclaimer: Pricing is subject to change. Please confirm current pricing on the vendor site.

Features & Specs

Automatic agent discovery: Detects all deployed agents across SaaS apps, endpoints, and cloud-hosted environments.
Real-time inventory: Tracks ownership details plus tool usage patterns per agent.
Behavioral tracking: Monitors how each agent operates—including execution paths—to flag abnormal actions.
Shadow AI detection: Identifies unsanctioned or unmanaged agents introduced by end users.
Policy management: Applies standards aligned with OWASP LLM or MITRE ATLAS frameworks at config time or run time.
Inline enforcement: Blocks dangerous steps like unauthorized triggers or tool use as they happen.
Threat detection & response: Uses AIDR engine to stop prompt injection attacks or credential leaks mid-execution.
Automated remediation: Lets teams remove high-risk files or disable compromised agents instantly using click-to-fix tools.
Detailed logging & telemetry: Records every action taken by an agent for audit

Security & Compliance

RBAC (Role-Based Access Control): Zenity provides detailed inventory and attribution of AI agents, including user roles and permissions, supporting granular access control and governance.
Automated remediation: Zenity supports automated deletion of risky agents, files, or conversations based on security policies.
Sensitive data detection: Zenity identifies when agents access PHI, PII, PCI data, or hardcoded secrets and can block or redact unsafe behavior.

Industry Use-Cases

Financial Services

Zenity helps prevent data leaks by discovering agents linked to financial systems, restricting access to sensitive data, and monitoring for unusual behavior. It also flags over-permissioned agents to reduce fraud risks.

Healthcare

Zenity detects unauthorized attempts to access or share PHI from EHR systems and blocks risky actions in real time. It also identifies shadow AI agents deployed without approval for better governance.

Technology/Software Development

Zenity monitors developer tools like GitHub Copilot to stop code or secrets from leaking. It also blocks prompt injection attacks in CI/CD pipelines to protect the software supply chain.

Enterprise Operations (HR, Marketing, Finance)

Zenity inventories SaaS-based agents accessing sensitive business data and enforces usage policies. It flags unintended workflow actions, providing audit trails and reducing operational risk.

Tool's Alternatives

ZenGuard AI
Focuses on securing LLM-based customer service agents. It detects prompt injection threats quickly. Its interface supports fast updates to security rules.

FusionReactor APM
Offers deep diagnostics for Java apps. While not focused on AI agents directly, it helps when AI is embedded in Java stacks.

SonarQube
Performs static code analysis in CI/CD pipelines. It strengthens code quality but doesn't address runtime behavior or agent-specific risks.

Coverity by Synopsys
Scales well for large codebases with accurate static analysis. It lacks support for real-time monitoring of deployed AI agents.

ThinkDiffusion
Provides visibility into AI agent

Frequently Asked Questions

What does Zenity AI Security Agent protect against?
Zenity detects and blocks threats like prompt injection, data leakage, agent logic abuse, and over-permissioned access. It helps secure agents acting without oversight across SaaS, cloud, and endpoint environments.

How does Zenity discover deployed AI agents?
Zenity automatically detects all agents across SaaS platforms, endpoints, and cloud environments. This includes managed deployments and shadow AI introduced by end users.

Can Zenity block threats in real time?
Yes. Zenity uses inline enforcement to stop dangerous actions during execution. It can block unauthorized triggers or tools and remediate high-risk issues instantly with click-to-fix controls.

Which environments does Zenity integrate with?
Zenity supports Microsoft 365 Copilot, GitHub Copilot, Salesforce, ChatGPT Enterprise, Claude Desktop, Azure AI Foundry, AWS Bedrock, Google Vertex AI, and custom APIs or webhooks for integrations.

Does Zenity support regulated industries like healthcare or finance?
Yes. In finance, it prevents data leaks and fraud by controlling agent access. In healthcare, it blocks risky PHI handling and governs shadow agents operating without approval.

What kind of visibility does the platform provide?
Zenity tracks which tools agents use, what data they access, their execution paths, and ownership details. Behavioral tracking flags abnormal actions for review or response.

How does policy enforcement work in Zenity?
Policies are applied at buildtime and runtime using standards like OWASP LLM or MITRE ATLAS. This enables continuous protection from development through deployment.

Is there a demo available for Zenity AI Security Agent?
Yes. Demos can be requested directly through the website without needing signup or payment information.

What results have enterprise users seen from using Zenity?
Enterprises report a 90% reduction in security violations and 95% automatic remediation of high-risk issues across over 150,000 resources.

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Zenity AI Security Agent

Secure AI Agents Everywhere—Full-Lifecycle Security and Governance for Enterprise AI Agent