Coding Agent Security | Secure Every Workflow

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

It can hit a problem mid-task, reason through its own path like installing a package that solves an error, retrying a blocked command a different way, or carrying context into a task it was never scoped for. None of that requires a malicious prompt or a stolen credential. Zenity watches that decision directly, through a loop that gets sharper every time it runs; exposure informs what gets enforced, investigations sharpen the next policy, and every decision makes the one after it safer.

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

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

Analyst Recognition & Research Coverage

Gartner Securing Agent Actions Not Prompts White Papers

Gartner® Names Zenity as the Company to Beat in AI Agent Governance Company News

Zenity Named Gartner® Cool Vendor in Agentic AI TRiSM Company News

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.

FAQ

What is a coding agent? A 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.

How do coding agents introduce risk into the SDLC? 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.

What are the main risks of AI coding agents? 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.

How does Zenity secure coding agents? 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.

Do coding agent security controls slow down development? 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.