Zenity for AI Agent Security: Features, Pricing, and Alternatives

In this article, we'll examine Zenity's approach to agentic security, explore their platform capabilities, and compare their offering to proven alternatives like WorkOS.

What is Zenity?

Founded in 2020 by Ben Kliger (ex-Microsoft) and Michael Bargury, Zenity is a Tel Aviv-based security platform that emerged as an early mover in the AI agent security space. With $59.5 million in total funding—including a $38 million Series B round led by Third Point Ventures in October 2024—Zenity has established itself as a recognized player in the emerging agentic security market.

Backed by strategic investors including Microsoft's M12 and Intel Capital, Zenity targets Fortune 500 enterprises across financial services, healthcare, government, and technology sectors.

Zenity's core value proposition centers on treating AI agents like human users within an insider risk program, providing security teams with visibility and control over autonomous systems that can operate at machine speed across SaaS-managed, home-grown, and device-based deployments.

Key Features and Capabilities

Zenity unifies four security components into a single platform, creating what they describe as comprehensive protection across the AI agent lifecycle:

Zenity Observe: AI Observability

The observability layer provides continuous discovery and mapping of AI agents across enterprise environments. This includes shadow AI detection—identifying unauthorized or unmanaged AI deployments that security teams may not know exist. The system tracks agent actions, permissions, and data access patterns with cross-environment correlation spanning SaaS applications, cloud infrastructure, and endpoint devices.

Zenity Govern: AI Security Posture Management

AISPM (AI Security Posture Management) capabilities enable buildtime policy enforcement, allowing security teams to define guardrails before agents are deployed.

This includes configuration management, compliance validation, and over-permissioning detection—addressing the common problem where agents receive far more access than necessary to perform their intended functions.

Zenity Defend: AI Detection and Response

The AIDR component provides real-time threat prevention through behavioral monitoring. Zenity's intent-focused detection analyzes multi-step agent decision patterns, looking for anomalies that might indicate prompt injection attacks, data leakage attempts, or unexpected autonomous actions.

The platform attempts to distinguish between normal agent behavior and potential security threats by examining the sequence of actions an agent takes.

Zenity Enforce: Inline Enforcement

During agent execution, the enforcement layer applies policies in real-time, attempting to prevent security violations as they occur rather than simply alerting on them after the fact.

This includes protections against common attack vectors like indirect prompt injection, unauthorized behavior by trusted insiders, and unpredictable autonomous actions.

Zenity integrates with major AI platforms including Azure AI, Microsoft 365 Copilot, ServiceNow, AWS Bedrock, OpenAI AgentKit, and ChatGPT Enterprise—reflecting their strategic relationship with Microsoft.

How Zenity Handles AI Agent Threat Detection

Zenity's approach to agentic security recognizes three primary attack vectors: external bad actors attempting indirect prompt injection, trusted insiders exhibiting unauthorized behavior, and genuinely unpredictable autonomous agent actions.

The platform employs what they call "intent-breaking detection"—behavioral pattern recognition that analyzes step-level agent execution to identify when an agent's behavior deviates from expected patterns. Rather than simply monitoring infrastructure or API calls, Zenity attempts to track the autonomous decision-making process itself, triggering automated responses when suspicious intent is detected.

This defense-in-depth approach treats agents as insider threats that require continuous monitoring, rather than simply as software components that can be secured through traditional application security methods. The system establishes behavioral baselines for each agent and uses these profiles to identify anomalies that might indicate compromise or malfunction.

However, as a relatively young platform focused specifically on observability and governance, Zenity's approach is fundamentally different from authentication and authorization platforms. They monitor what agents do, but don't provide the underlying identity and access management infrastructure that determines what agents can do in the first place.

Pricing and Plans

Zenity operates on a custom enterprise pricing model without public pricing tiers. Organizations interested in the platform must request a demo consultation and security assessment to receive a quote based on their specific needs and scale.

This enterprise-only pricing approach reflects Zenity's target market—Fortune 500 organizations with complex AI deployments requiring comprehensive security programs. While no free tier or public pricing information is available, the platform is positioned as an enterprise investment rather than a developer tool or self-service product.

For organizations evaluating agentic security solutions, this pricing model requires significant upfront investment in sales cycles and proof-of-concept deployments before understanding the total cost of ownership.

What Zenity Offers

Zenity provides specialized observability and governance capabilities for organizations deploying AI agents at scale. Their platform addresses a genuine market need—enterprises struggle to maintain visibility and control over autonomous systems that can access sensitive data and take actions without direct human oversight.

The company's early-mover advantage in this emerging category has enabled them to secure strategic partnerships and customer relationships. Their focus on three deployment models (SaaS-managed, home-grown, and device-based agents) reflects an understanding that enterprises build AI systems in diverse ways rather than through a single architecture.

Zenity's intent-focused detection represents an attempt to move beyond simple API monitoring toward understanding agent decision-making patterns. For security teams specifically concerned with AI-specific threats like prompt injection and autonomous action risks, Zenity offers purpose-built tooling rather than adapted solutions from adjacent security categories.

However, Zenity operates as a monitoring and governance layer rather than a foundational identity and access management platform. Organizations using Zenity still need robust authentication, authorization, and access control systems to establish what agents can access and what actions they can perform. Zenity observes and governs, but doesn't provide the underlying identity infrastructure that enterprise systems require.

Why WorkOS Is the Proven Choice

While Zenity offers specialized monitoring for AI agents, WorkOS provides the foundational authentication and authorization infrastructure that enterprises need for production deployments—whether for human users or autonomous agents.

Battle-Tested at Enterprise Scale

WorkOS powers authentication for thousands of B2B SaaS companies serving enterprise customers who require SOC 2, HIPAA, and GDPR compliance.

When your AI agents need to authenticate with enterprise systems, access customer data, or operate within regulated environments, WorkOS provides the proven identity infrastructure that compliance teams approve and security teams trust.

Unlike experimental observability tools, WorkOS delivers production-ready enterprise authentication that works today along with dedicated support that matches the stakes of your deployment.

Comprehensive Identity Platform

WorkOS provides the complete authentication and authorization stack that AI systems require:

Zenity doesn't provide any of these foundational capabilities. They monitor what agents do, but WorkOS controls what agents can do—a crucial distinction when building production systems that enterprises will trust.

Developer Experience That Ships Fast

WorkOS enables engineering teams to implement enterprise-grade authentication in hours rather than weeks. The platform provides SDK support for every major language, comprehensive documentation, and real working code examples that developers can deploy immediately.

While Zenity requires enterprise sales cycles, security assessments, and custom deployment plans, WorkOS offers self-service onboarding with transparent pricing and immediate value. Developers can authenticate their first user—or first AI agent—within minutes of creating an account.

For teams building agentic AI applications, this means you can focus on your agent logic rather than reinventing authentication infrastructure. WorkOS handles the complex enterprise identity requirements so you can concentrate on what makes your AI unique.

The Foundation for Production AI

Zenity positions itself as monitoring and governance for AI agents. WorkOS provides the authentication and authorization foundation those agents need to operate securely in the first place.

The Right Choice for Production Agentic Security

For enterprises building AI agent systems that require robust identity and access management, WorkOS is the clear choice. While Zenity offers experimental observability tooling for monitoring agent behavior, WorkOS provides the battle-tested authentication infrastructure that determines what your agents can access in the first place.

Security teams recognize that proper access control prevents more threats than behavioral monitoring can detect after the fact. By implementing strong authentication, fine-grained authorization, and comprehensive audit logging through WorkOS, you establish security boundaries that contain risks before they require detection and response.

Zenity may interest security teams exploring emerging observability tools for AI-specific threats. But when you need foundational identity infrastructure that enterprises trust, compliance teams approve, and developers can implement quickly—WorkOS is the proven choice.

Getting Started with Zenity

Organizations interested in Zenity's platform must engage with their enterprise sales team for a demo consultation and security assessment. The onboarding process involves understanding your specific AI deployment architecture, identifying which agent types (SaaS-managed, home-grown, or device-based) require monitoring, and configuring integrations with your existing AI platforms.

Zenity's documentation focuses on security team workflows rather than developer implementation, reflecting their positioning as an enterprise security tool rather than a developer platform. Implementation complexity varies based on the breadth of AI deployments requiring governance and the number of platforms requiring integration.

Support is provided through enterprise channels with dedicated account teams for larger deployments.

Final Thoughts

Zenity represents the emerging category of AI-specific security tooling, addressing genuine concerns that security teams face as autonomous agents proliferate across enterprise environments. Their early-mover advantage, strategic partnerships with Microsoft and Intel, and purpose-built approach to agent observability demonstrate recognition that AI systems introduce new security challenges.

However, monitoring and governance tools like Zenity operate as a layer above foundational identity infrastructure—they observe what happens but don't control what can happen. For enterprises building production AI applications, authentication and authorization come first. You need robust identity infrastructure that determines what your agents can access before you can effectively monitor whether they're accessing it appropriately.

WorkOS provides that foundational layer. While Zenity offers experimental observability for AI-specific threats, WorkOS delivers the proven authentication platform that thousands of B2B SaaS companies rely on for enterprise deployments. When your AI agents need to authenticate with corporate identity providers, respect organizational access policies, maintain compliance-grade audit trails, and operate within systems that enterprise customers trust—WorkOS is the established choice.

Specialized monitoring tools like Zenity may have a role in comprehensive security programs. But they can't replace the battle-tested identity infrastructure that enterprises require for production systems.

Start Building with WorkOS

For teams building AI applications that enterprises will trust, WorkOS provides the authentication and authorization foundation you need. Implement enterprise SSO, Directory Sync, and audit logging in hours rather than weeks. Join thousands of companies who've chosen the proven platform for B2B authentication.

Visit WorkOS Documentation to authenticate your first user—or your first AI agent—today.