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AI security

Zenity ✓

Enterprise-grade AI agent lifecycle protection platform.

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AI Security Lifecycle Protection Risk Mitigation
More categories (4)
Agent Layer Security Behavioral Analysis Enterprise-grade AI security
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Verdict

A quick read before you dig into the full page.

Best if
Enterprise-grade AI agent lifecycle protection platform
Skip if
Limited behavioral analysis options
Pick this when
Comprehensive lifecycle protection

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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.

Zenity website

Access & connections

Where you can use Zenity, and what it plugs into.

Platforms

Web

Integrations

Salesforce

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular

Output

  • API

Supported features

  • Cybersecurity

Pros & cons

Pros

  • Comprehensive lifecycle protection
  • Behavioral monitoring
  • Rapid threat response
  • Observability capabilities
  • SaaS Managed
  • Risk assessments
  • Buildtime configuration protection
  • Runtime execution security
Show 34 more
  • 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

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
Show 2 more
  • No business continuity features
  • Limited behavioral analysis options

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Releases 1

Initial release September 19, 2024 Current
Initial release of Zenity.

FAQ 12

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.
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.
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