Zenity

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Register NowMinimizing Risks in Coding Assistants

Gartner® named Zenity

the Company to Beat in AI Agent Governance

Recognized by

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By the Time Anyone Notices, the Agent Already Decided

A model can look harmless. An output can look fine. Neither of those determines whether an agent causes harm. What matters is the decisions, the moment it weighs what it can reach against what it’s trying to do, and acts. That decision goes wrong in three distinct ways.

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External

An adversary manipulates the agent. A malicious prompt hidden in a document, an email, or a webpage, and the agent executes that intent with the access it's been given.

Internal

Someone hands the agent what it shouldn't have. An over-shared file. A broadened permission. A data source nobody questioned.

Autonomous

Nothing was handed to the agent. It found a way anyway. No outside manipulation, no instruction gone wrong. The agent hits a problem, improvises, finds a credential it was never given, and acts.

The Platform Behind the Decision

Watching a decision means watching everything that feeds it. That's why the platform spans discovery, policy, identity, and runtime defense, not just one layer.

Know what’s running, what it can impact, and what’s exploitable.

Decide what agents can do, steer them towards what’s appropriate, and stop harmful actions before they land.

Detect threats, investigate, and respond, mapped to OWASP and MITRE ATLAS.

Context Answers What, Intent Answers Why

A DSPM vendor calls this a data problem. An IAM vendor calls it an identity problem. An EDR vendor calls it an endpoint problem. A network vendor calls it a shadow access problem. All of them are partially right, but none of them are enough to address the full picture. The stack was built for a human actor, and an agent's decision doesn't stay inside one category. Context is who the agent is acting for, what it's touching, and how the plan unfolds. On its own, that only says what's happening, not whether it makes sense. Zenity assesses both together, what’s happening and why.

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What Changes When the Decision Gets Watched

Comprehensive Visibility

Know which agents exist, who owns them, what they can access, and how they behave across your environment.

Preemptive Risk Prevention

Enforce guardrails early to prevent risky configurations and over-permissioned agents from reaching runtime.

Actionable Threat Signals

Correlate configuration, permissions, and runtime behavior to surface intent-driven risk, not isolated alerts or noise.

Contextual Incident Response

Detect and respond with full context of agent execution paths, enabling faster identification and mitigation of sophisticated threats.

Adopt with Confidence

Apply consistent governance and enforcement across environments to support AI adoption without expanding the attack surface

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.”

Fortune 20 Technology
90%

Existing vulnerabilities remediated within 4 months with 2 FTEs

Fortune 20 Technology
280%

Tenant grew over 12 months

Fortune 20 Technology

“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.”

Fortune 50 Pharmaceuticals
82%

People developing these systems are not professional developers

Fortune 50 Pharmaceuticals
2,000

Instances of agents and apps that were shared across the entire org

Fortune 50 Pharmaceuticals

"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."

Fortune 200 Consulting
90%

Reduction in security violations

Fortune 200 Consulting
95%

High-risk violations automatically remediated

Fortune 200 Consulting

"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."

Fortune 50 Financial Services
80%

Risk reduction across the tenant containing 150k+ total resources

Fortune 50 Financial Services
180%

Growth in agent, app, and automation volume

Fortune 50 Financial Services

“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.”

Fortune 20 Technology
90%

Existing vulnerabilities remediated within 4 months with 2 FTEs

Fortune 20 Technology
280%

Tenant grew over 12 months

Fortune 20 Technology

“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.”

Fortune 50 Pharmaceuticals
82%

People developing these systems are not professional developers

Fortune 50 Pharmaceuticals
2,000

Instances of agents and apps that were shared across the entire org

Fortune 50 Pharmaceuticals

"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."

Fortune 200 Consulting
90%

Reduction in security violations

Fortune 200 Consulting
95%

High-risk violations automatically remediated

Fortune 200 Consulting

"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."

Fortune 50 Financial Services
80%

Risk reduction across the tenant containing 150k+ total resources

Fortune 50 Financial Services
180%

Growth in agent, app, and automation volume

Fortune 50 Financial Services

“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.”

Fortune 20 Technology
90%

Existing vulnerabilities remediated within 4 months with 2 FTEs

Fortune 20 Technology
280%

Tenant grew over 12 months

Fortune 20 Technology

“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.”

Fortune 50 Pharmaceuticals
82%

People developing these systems are not professional developers

Fortune 50 Pharmaceuticals
2,000

Instances of agents and apps that were shared across the entire org

Fortune 50 Pharmaceuticals

"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."

Fortune 200 Consulting
90%

Reduction in security violations

Fortune 200 Consulting
95%

High-risk violations automatically remediated

Fortune 200 Consulting

"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."

Fortune 50 Financial Services
80%

Risk reduction across the tenant containing 150k+ total resources

Fortune 50 Financial Services
180%

Growth in agent, app, and automation volume

Fortune 50 Financial Services

Modern Defense in Depth, Reimagined for AI Agents

Agent-centric Security & Governance

By focusing on the agent itself, Zenity governs how it’s built, what it can access, and what it does - enabling consistent security across every stage and environment.

Coverage Everywhere

Security and governance across all environments - SaaS, home-grown agentic platforms (Cloud), and end-user devices (Endpoint) - with unified visibility, policy control, and threat prevention.

Intent-Based Detection & Response

By examining the full execution path - including tool calls, memory access, data usage, and control flow - Zenity identifies malicious or unintended outcomes even when inputs look harmless. This intent-focused approach exposes attacks that prompt-based firewalls miss.

Research and Insights Shaping the Future of AI Agent Security

Zenity Labs delivers original research, threat intelligence, and hands-on experimentation focused on the emerging risks of AI Agents. From real-world attack techniques to prompt injection patterns and policy best practices, our team explores what others haven’t so you can secure what’s next.

Analyst Recognition & Research Coverage

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