What are the best coding agent security tools in 2026?
Arcjet publishes this guide and sells one of the tools in it. It's a map of the market by where each product enforces, not an independent ranking, and it includes a section on when Arcjet is the wrong choice. Vendor details reflect public documentation as of September 2026.
Coding agent security tools control what agents such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, and Claude Cowork do on a developer's machine or in a cloud sandbox: the commands they run, the files they read, the URLs they fetch, and the MCP servers they call. Buyers describe the category in different ways – AI endpoint security, an agent runtime wrapper, coding agent governance – because the market hasn't settled on one name.
The useful way to shortlist is by enforcement point, because that decides what a tool can see and stop:
- Vendor-native controls – settings built into each agent, such as Claude Code managed settings and permission rules.
- Hook-based policy – a service that the agent calls through its own hooks before each tool call or prompt.
- Endpoint agents – software installed on the laptop that watches agent processes.
- Gateways and proxies – a hop that model or MCP traffic routes through.
- Code and commit controls – checks on what the agent produces, applied at the pull request or commit.
Most organizations combine vendor-native controls with one of the next three. The following sections cover each enforcement point, the tools in it, and what each can't see.
Coding agent security tools by enforcement point
| Enforcement point | Tools | Sees | Misses |
|---|---|---|---|
| Vendor-native controls | Claude Code managed settings, Cursor team settings, GitHub Copilot organization policies, Codex managed requirements | Whatever that one agent exposes as a setting | Other agents, and conditions that depend on the arguments of a call |
| Hook-based policy | Arcjet, Noma Security, Runlayer, Zenity, Microsoft Defender for Endpoint (some hooks on Windows) | Each tool call and prompt before it runs, with the command, paths, destinations, and permission mode | An agent that fires no hooks, or a machine where hooks are removed |
| Endpoint agents | Operant Endpoint Protector, Palo Alto Networks Prisma AIRS (AI coding), Runlayer's device agent | Agent processes, packages, and files on the device | Cloud sandboxes and devices without the agent installed |
| Gateways and proxies | Runlayer MCP gateway, Lasso Security, Coder AI Gateway and Agent Firewall, LiteLLM, Portkey | Model and MCP traffic that routes through the hop | Local shell commands and file reads, which never cross the network |
| Content and data controls | Prompt Security (SentinelOne), Pillar Security, Onyx Security | What data and text reach an AI tool | Whether a specific command or file read is allowed to run |
| Code and commit controls | Endor Labs, Semgrep, ProvenanceCode | The code and dependencies the agent produces | What the agent did on the machine before it committed |
Vendor-native controls
Start here, because these settings cost nothing and no third-party tool replaces some of them.
- Claude Code managed settings – Administrator-deployed settings that outrank a developer's own. They set permission deny rules, turn off auto mode with
permissions.disableAutoMode, keep the permission flow in place withdisableBypassPermissionsMode, and restrict hooks to managed ones withallowManagedHooksOnly. For more information, see securing Claude Code in the enterprise. - Cursor, Copilot, and Codex – Each has organization-level settings and its own hook system. The details differ by vendor. For more information, see the Cursor, GitHub Copilot, and OpenAI Codex guides.
- Telemetry – Claude Code's OpenTelemetry export and the Claude Compliance API show what happened across the organization. They record activity; they don't block it.
Native controls stop at the edge of one agent. A deny rule in Claude Code does nothing for Cursor, and a rule that depends on the arguments of a call – deny curl only when it posts to an unknown host – is more than a settings file can express.
Hook-based policy
Every major coding agent fires hooks: calls to a command or HTTP endpoint at set points, such as before a tool call and before a prompt reaches the model. A hook-based policy service receives each event, evaluates it, and answers allow or deny before the agent acts. Because the agent's own process enforces the answer, the model can't argue its way past it.
- Arcjet – One policy, written in Rego, across Claude Code, GitHub Copilot, Cursor, and OpenAI Codex. It evaluates at the edge, records every session in the Arcjet Console, and adds detectors for prompt injection, sensitive information, and destination threats, plus session tainting to lock a session after a risky finding. Self-serve plans start at $25 a month plus $50 per million agent requests.
- Noma Security – Enforces on coding agents through hooks, as part of a broader AI security platform with posture management and red teaming.
- Runlayer – Installs hooks with an agent on each device and routes MCP traffic through its gateway. For a side-by-side comparison, see Runlayer vs Arcjet.
- Zenity – Covers coding agents alongside the low-code and SaaS agents that are its main focus. For a side-by-side comparison, see Zenity vs Arcjet.
- Microsoft Defender for Endpoint – Can screen some coding agent hooks on Windows, within a Microsoft security estate.
Hooks depend on the agent: an agent that fires no hooks can't be governed this way, and HTTP hooks on Claude Code and Copilot let an action through when the policy service times out. For more information, see coding agent hooks fail open.
Endpoint agents
Endpoint agents run on the developer's machine and watch agent processes directly, so they don't depend on the agent's hook system.
- Operant Endpoint Protector – Governs agent behavior on the device, including package installs, repository scope, and redaction before data leaves the machine.
- Palo Alto Networks Prisma AIRS – Its AI coding offering discovers agents, models, skills, and MCP servers across developer endpoints and gives each agent its own identity, inside the Prisma AIRS platform.
An endpoint agent covers only the devices it's installed on. Cloud sessions, such as Claude Code on the web or the Copilot cloud agent, run elsewhere.
Gateways and proxies
Gateways see the traffic routed through them. Runlayer and Lasso Security govern MCP servers and model traffic. Coder's AI Governance adds an AI Gateway and a process-level Agent Firewall for agents that run in Coder workspaces. LiteLLM and Portkey route model traffic for teams that operate their own gateway.
A gateway is the right place to approve or revoke an MCP server in one step. It can't see a local cat ~/.aws/credentials or a shell command that never leaves the machine. For more information, see AI gateways vs Arcjet.
Content, data, and code controls
Prompt Security (part of SentinelOne), Pillar Security, and Onyx Security focus on what data and text reach AI tools. Endor Labs and Semgrep check the code and dependencies that agents produce, and ProvenanceCode holds high-risk commits for human approval at the git layer. These are useful layers. They don't decide whether a specific command, file read, or fetch is allowed to run on the developer's machine.
How do you evaluate coding agent security tools?
Run each shortlisted tool against these questions, on your own developers' sessions:
- Which agents does it cover? List every agent in use, including Claude Cowork and agents outside engineering, and check each one.
- Does it decide before the action runs? A dashboard that shows a credential read after it happened is visibility, not enforcement.
- Can a policy use the call's arguments? "Deny the AWS CLI" and "deny any request to an AWS host" need the command tokens and the destinations, not just the tool name.
- What happens when the service is slow or down? Ask per agent whether a timeout allows or denies the action.
- Can a developer remove it? Controls deployed through managed settings or MDM need administrator access to change.
- What does it collect? Find out whether prompts and command text are stored, for how long, and what is sent to your SIEM.
- Can you pilot it in dry run? A pilot with a dozen developers shows request volume and which rules would have fired, before anything is blocked.
Which tool fits which problem?
| Problem | Start with |
|---|---|
Stop agents reading credentials and calling cloud APIs | Hook-based policy. For more information, see stopping coding agents using AWS credentials |
| Require a human in the loop for risky commands | Vendor-native permission modes, plus a hook policy on the mode. For more information, see requiring human approval in Claude Code auto mode |
| Approve which MCP servers agents can use | An MCP gateway, or an MCP allowlist policy on the hook |
| Stop a session after a prompt injection | Session tainting on the hook |
| Find agents nobody registered | Endpoint discovery or a posture platform |
| Catch insecure code the agent wrote | Code scanning in pull requests |
When is Arcjet the wrong choice?
- You need discovery of agents on devices you don't manage. An endpoint or posture product finds unregistered agents; Arcjet governs the agents whose hooks you've installed.
- Your agents fire no hooks. Arcjet enforces through each agent's hooks, so an agent without them needs an endpoint or network control.
- You want one vendor for employee AI use in the browser. Prompt Security, Lasso, and secure web gateways cover chat apps; Arcjet covers coding agents and the agents you build.
- You need blocking inside cloud workloads. Container runtime tools such as Falco and Sysdig cover the node. For more information, see application vs container runtime security.
Where does Arcjet fit?
Arcjet enforces one Rego policy across Claude Code, GitHub Copilot, Cursor, and OpenAI Codex through the hooks they already fire, deployed through managed settings or MDM so developers can't remove it. Starter policies cover destructive commands, credential access, AWS access, auto mode, MCP allowlists, model allowlists, destination threats, prompt injection, and sensitive information, and every policy starts in dry run. The same policies apply to agents you build with the Arcjet SDK. For the enforcement model in more detail, see how to secure AI coding agents.
Frequently asked questions
What are the best coding agent security tools?
It depends on the enforcement point. Start with each agent's native controls, such as Claude Code managed settings. For policy across agents before each action runs, use hook-based tools such as Arcjet, Noma, Runlayer, or Zenity. For on-device monitoring, use endpoint agents such as Operant or Prisma AIRS. For MCP and model traffic, use gateways such as Runlayer, Lasso, or Coder. Check agent-written code with Endor Labs or Semgrep.
What is AI endpoint security for coding agents?
It's a name buyers use for controls that govern what coding agents do on developer machines: the commands they run, files they read, URLs they fetch, and MCP servers they call. Products deliver it through the agents' hooks, through software installed on the device, or through a gateway.
Are Claude Code's built-in settings enough?
They're the right starting point and cost nothing. Managed settings can set deny rules, turn off auto mode, and restrict hooks. They cover only Claude Code, and they can't express rules that depend on a call's arguments, such as denying curl only when it posts to an unknown host.
How do you evaluate coding agent security tools?
Check which agents each tool covers, whether it decides before the action runs, whether a policy can use the command and destinations, what happens when the service times out, whether developers can remove it, what data it collects, and whether you can pilot it in dry run on a dozen developers first.
When is Arcjet the wrong choice for coding agent security?
When you need to discover agents on devices you don't manage, when your agents fire no hooks, when you want one vendor for employee AI use in the browser, or when you need blocking inside cloud workloads.
AI runtime security in your code
Protect your AI agent workflows with Arcjet
Install Arcjet hooks for Claude Code, Copilot, Cursor, or Codex and publish one policy across all four in dry run.