Enterprise-grade AI agent lifecycle protection platform.

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April 17, 2026

2026 Rank: #2366

Zenity

AI security

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Enterprise-grade AI agent lifecycle protection platform.

AI Security Lifecycle Protection Risk Mitigation Agent Layer Security Behavioral Analysis Enterprise-grade

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Overview

The Zenity AI Security Platform is designed for overseeing and securing AI agents, providing comprehensive lifecycle protection. The solution identifies, monitors behavior, and imposes runtime policies, allowing for swift responses to possible threats.

It offers a range of capabilities including but not limited to Observability, AI-SPM, AIDR, and SaaS Managed. Through Zenity, businesses can inventory AI agents across multiple platforms, giving security teams clear insight into agent ownership, configurations, permissions, dependencies, and runtime behavior.

The platform is equipped to detect and manage Shadow AI, conduct behavioral analysis, track usage patterns, and perform risk assessments.The platform is designed to mitigate risks linked to AI agents, such as misuse of tools, execution-driven data exposure, and permission configuration risk.

It does so by securing AI at the agent layer, providing protection across buildtime configuration and runtime execution.Zenity extends its comprehensive protection to AI agents across various environments like SaaS, cloud, custom stacks, and endpoints.

It secures both SaaS-managed agents, like those integrated into Salesforce Agentforce or built with Copilot Studio, and home-grown agents on platforms like AWS Bedrock and Google Vertex AI.

It also caters to device-based agents with lightweight monitoring, detection, and response capabilities.

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Cybersecurity

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Initial release

September 19, 2024

Initial release of Zenity.

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Pros and Cons

Pros

Comprehensive lifecycle protection

Behavioral monitoring

Rapid threat response

Observability capabilities

SaaS Managed

Risk assessments

Buildtime configuration protection

Runtime execution security

SaaS, Cloud, Custom, Endpoint security

Secures SaaS-managed agents

Secures home-grown agents

Salesforce Agentforce integration

Copilot Studio integration

Lightweight device-based agent protection

Enterprise-grade platform

Track usage patterns

Minimizes Permission Configuration Risk

Mitigates Data Exposure Risks

Real-time agent inventory

Ownership and dependency mapping

Cross-environment risk assessment

Graph-based insights

Eliminates guesswork in investigations

All-platform coverage

Agent behavior understanding

Expandable control gaps

Detect and respond capabilities

Preemptive Risk Prevention

Contextual Incident Response

Actionable Threat Signals

Comprehensive Visibility

Execution paths identification

Consistent governance and enforcement

Threat Detection and Response

Supports multiple business types

Language-Agnostic

Cloud infrastructure governance

Industry-leading threat intelligence

Hands-on policy experimentation

Multi-Step behavior tracking

Replace manual discovery efforts

High-confidence security incidents

View 37 more pros

Cons

No on-premise solution

No individual application security

Lack of detailed encryption

No specific database security

Unsuitable for small businesses

No open-source alternative

Limited device security support

No integrated compliance features

No business continuity features

Limited behavioral analysis options

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Q&A

What is the Zenity AI Security Platform?

Zenity AI Security Platform is a solution for overseeing and securing AI agents, providing comprehensive lifecycle protection. It identifies, monitors behavior, and enforces runtime policies, thereby enabling swift responses to possible threats. Zenity gives security teams insight into AI agents' ownership, configurations, permissions, dependencies, and runtime behavior across multiple platforms.

How does Zenity protect AI agents during their lifecycle?

Zenity protects AI agents during their lifecycle by offering comprehensive security at the agent layer. This includes securing AI during buildtime configuration and runtime execution. This approach addresses the risks linked to AI agents, including misuse of tools, execution-driven data exposure, and permission configuration risk.

What are some key features of Zenity?

Key features of Zenity include AI Observability, AI-SPM (AI Security Posture Management), AIDR (AI Detection & Response), and the capacity to secure SaaS-managed and device-based agents. Additional features incorporate automatic discovery across your environment, real-time agent inventory, ownership and dependency mapping, behavioral analysis, usage pattern tracking, Shadow AI detection, governance, and cross-environment correlation and risk assessment.

What is the role of runtime policies in Zenity?

Runtime policies in Zenity are techniques utilized to govern the behavior of AI agents during the execution stage. They ensure swift responses to possible threats by promptly imposing restrictions or actions in agreement with the defined policy.

What does 'Shadow AI Detection' mean in the context of Zenity?

In the context of Zenity, 'Shadow AI Detection' refers to the platform's capability to identify and manage hidden or unauthorized AI activities. These are AI agents or models that are not clearly visible or approved but might pose a security risk.

How does Zenity offer AI risk assessment?

Zenity offers AI risk assessment by tracking and analyzing AI agent behavior and usage patterns. It provides a full understanding of agent ownership, configurations, permissions, dependencies, and runtime behavior, thereby evaluating potential vulnerabilities or threats.

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What measures does Zenity take to prevent misuse of AI tools?

To prevent misuse of AI tools, Zenity offers preemptive risk prevention by enforcing guardrails to prevent risky configurations and over-permissioned agents from reaching runtime. This includes securing AI at the agent layer, covering both buildtime configuration and runtime execution.

How is Zenity used in the context of SaaS and Cloud?

In the context of SaaS and Cloud, Zenity extends its security coverage to AI agents across these environments. It secures both SaaS-managed agents and home-grown agents developed on cloud platforms like AWS Bedrock and Google Vertex AI.

Can Zenity secure AI agents built with Copilot Studio?

Yes, Zenity is equipped to secure AI agents built with Copilot Studio. It offers full visibility and policy enforcement for these agents.

What kind of AI agents does Zenity cater to on AWS Bedrock and Google Vertex AI?

Zenity caters to home-grown AI agents developed on platforms like AWS Bedrock and Google Vertex AI, offering comprehensive protection from configuration to runtime risk for these agents.

Are device-based agents also secured by Zenity?

Yes, device-based agents are also secured by Zenity. The platform offers lightweight monitoring, detection, and response capabilities for these local agents.

What is the significance of behavior analysis in Zenity?

The significance of behavior analysis in Zenity lies in its ability to understand and track AI agent behavior. With continuous behavioral analysis and usage pattern tracking, Zenity provides clear visibility into agent activity and potential risk, helping security teams to respond swiftly to any anomalies.

How does Zenity handle risks like execution-driven data exposure or permission configuration?

Zenity handles risks like execution-driven data exposure and permission configuration by implementing security at the agent layer. For execution-driven data exposure, Zenity secures the actions, memory, or tool calls of agents. For permission and configuration risk, the platform prevents over-privileged or misconfigured agents from accessing or modifying systems.

How does Zenity offer enterprise-grade AI agent lifecycle protection?

Zenity offers enterprise-grade AI agent lifecycle protection by securing AI agents across various environments and stages, from development to runtime. It does this through features such as automatic discovery, inventory of AI agents across platforms, enforcement of runtime policies, risk assessment, and comprehensive protection against misuse of tools, data exposure, and permission risk.

What services does Zenity offer for Salesforce Agentforce?

For Salesforce Agentforce, Zenity provides visibility and policy enforcement. It secures the AI agents integrated into Salesforce Agentforce, ensuring they adhere to defined rules and threats are swiftly detected and managed.

What is the purpose of the Zenity Observe feature?

The purpose of the 'Zenity Observe' feature is to provide visibility over AI agents across all platforms. It allows security teams to discover and inventory AI agents, thereby establishing a reliable source of truth for agent risk.

How can Zenity aid in AI risk management?

Zenity aids in AI risk management by providing a thorough security posture management. It offers preemptive risk prevention, actionable threat signals, and contextual incident response capabilities. This allows security teams to detect and mitigate sophisticated threats quickly, and enforce guardrails to prevent risky configurations and overpermissions.

What does 'Agent Layer Security' mean?

'Agent Layer Security' refers to Zenity's strategy of securing AI at the agent level. It focuses on addressing risks introduced by AI agent systems, taking into consideration not only the configuration during agent development but also its behavior during runtime execution.

What methods does Zenity use to track usage patterns?

Zenity uses its AI Observability feature to track usage patterns. It maps the behavior of AI agents, tracks their usage, and conducts a detailed analysis, helping identify potential risks or anomalies.

What is AI-SPM in the context of Zenity?

In the context of Zenity, 'AI-SPM' stands for AI Security Posture Management. It denotes Zenity's capability to manage and improve the security position of AI agents, thereby mitigating potential risks.

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