A Coding Agent's Decision Ships With the Code
Cursor, GitHub Copilot, Claude Code, and every other coding agent make a decision every time they touch a file, a command, or a credential. Zenity secures that decision, not just the code it produces.
A Coding Agent Doesn't Need to Be Attacked to Cause Damage
A risky path found before it's used
An agent's access to secrets, packages, or production systems gets validated as exploitable, not left as a theoretical finding in a backlog.
The decision enforced as it happens
A risky command, install, or tool call gets stopped the moment a coding agent attempts it, not flagged after the fact.
Every incident strengthens the strategy
When something does get through, what's learned becomes the policy that catches the next coding agent that tries the same path.
Ensure Safe Adoption & Operation of AI Assisted Development Solutions
See the Coding Agents and What They’re Actually Doing
AI Observability inventories every coding assistant across developer endpoints. AISPM evaluates each one's configuration and permissions against policy before it's trusted with a real repository. AI Exposure Management validates which of its access paths, to secrets, credentials, or production systems, are actually exploitable, not just theoretically risky.
Key Features
Centralized inventory of coding agents and the MCP servers they connect to
Risk scoring for a coding agent's access, prioritized instead of left in a backlog
Continuous monitoring for exploitable paths as an agent's access changes
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.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“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.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"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."
Reduction in security violations
High-risk violations automatically remediated
"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."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
“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.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“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.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"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."
Reduction in security violations
High-risk violations automatically remediated
"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."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
“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.”
Existing vulnerabilities remediated within 4 months with 2 FTEs
Tenant grew over 12 months
“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.”
People developing these systems are not professional developers
Instances of agents and apps that were shared across the entire org
"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."
Reduction in security violations
High-risk violations automatically remediated
"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."
Risk reduction across the tenant containing 150k+ total resources
Growth in agent, app, and automation volume
Analyst Recognition & Research Coverage
Start Securing Your
AI Agents Today
Your AI is already live. Is your security catching up?Zenity brings observability, enforcement, and protection under one roof.
Get a DemoA coding agent is an AI tool that generates, edits, tests, or executes code with a degree of autonomy, often with direct access to a codebase, credentials, or a CI/CD pipeline.
Not always through an attack. A coding agent can introduce risk simply by reasoning its way to an unintended action, like installing an unvetted package or reusing context from an earlier task, without any credential being misused or any prompt being malicious.
Common risks include hardcoded secrets or credentials exposed in generated code, vulnerable or malicious dependencies, licensing exposure, and tool calls that reach beyond what a task actually required.
Zenity secures coding agents across the full lifecycle. AI Observability inventories every coding assistant in use and the MCP servers it connects to. AISPM reviews its configuration and permissions, and AI Exposure Management validates which of its access paths, to secrets, credentials, or production systems, are actually exploitable. Runtime Boundaries enforce policy on its commands and tool calls in real time, and AIDR detects and investigates anything that gets through.
No, guardrails that evaluate a command or a tool call in real time run alongside the work already happening, instead of requiring a separate review cycle.