AI coding agents now run on thousands of developer laptops. Claude Code, Cursor, Codex and GitHub Copilot can read the whole file system, run shell commands, install packages, call MCP servers and send code to a model, all with the developer’s own credentials. Traditional endpoint security sees a terminal running commands; it does not see that an agent decided to run them, or why. That gap has created a new category of tools built specifically to discover, govern and police coding agents.
This list ranks ten security tools for AI coding agents in 2027, for security and platform teams that need to let developers use agents without handing them unchecked access. We looked at which agents each tool supports, whether it can block an action before it runs, how it handles MCP servers and skills, and how it deploys, using vendor documentation and announcements through early November 2026. For the broader market of AI runtime protection, see our list of AI security companies protecting LLMs and AI agents.
Security Tools For AI Coding Agents At A Glance
Tool
Agents Covered
Best For
Known For
Pillar Security
Claude Code, Codex CLI, Cursor and more
Blocking risky agent actions before they run
Pre-action Runtime Guardian and an MCP risk catalog
Zenity
Claude Code, Codex, Copilot, Cursor
Coding and SaaS agents under one policy
Native agent hooks plus an MCP gateway
Nightfall AI
Claude Code, Cursor, VS Code
Stopping sensitive data leaving through agents
DLP on prompts, tool calls and shell commands
Palo Alto Networks
Claude Code, Cursor, Codex, Copilot, Antigravity
Palo Alto customers
Prisma AIRS with Cortex endpoint coverage
Noma Security
Claude Code, Cursor and others
One posture across endpoint, SaaS and homegrown agents
Endpoint agent security added in 2026
Lasso Security
Claude Code, Cursor, Windsurf, Codex
Desktop agents plus MCP enforcement
MCP discovery and gateway controls
Prompt Security (SentinelOne)
Coding assistants and IDEs
Workforce and developer AI in one product
Developer guardrails and shadow MCP discovery
MintMCP
Claude Code, Cursor, Codex, Copilot
Visibility and cost tracking
Agent Monitor with full activity records
OX Security
Claude Code, Cursor, Copilot
AppSec teams
VibeSec and an agent activity log
Straiker
Cursor, Claude Code, Copilot, Windsurf
Finding over-permissioned agents
Discover AI for coding agents
Best Security Tools For AI Coding Agents In 2027
1. Pillar Security — Pre-Action Blocking For Claude Code, Codex And Cursor
Pillar’s Agentic Endpoint product is built around the four jobs coding agent security requires: finding which agents are installed, auditing how each is configured, controlling what they do before an action runs, and keeping those controls on when a developer or the agent tries to switch them off. It runs full configuration scans for Claude Code, Cursor, Codex CLI, Gemini CLI, OpenCode and others, and identifies further agents by fingerprint.
Its Runtime Guardian sits in each agent’s own pre-tool hook for Claude Code, Codex CLI and Cursor and decides on every action before it executes. Pillar also risk-scores the MCP servers and skills agents load against a catalog of more than 23,000 servers it has already analyzed, and deploys through MDM with a per-user daemon on macOS, Linux and Windows.
2. Zenity — Native Hooks For Coding Agents And SaaS Agents Alike
Zenity started by governing agents built in low-code platforms such as Copilot Studio and has extended the same model to coding agents. It documents native hooks for Claude Code, Codex, GitHub Copilot and Cursor that see what code an agent reads, which commands it runs, what it installs and what it sends to models.
The advantage is one policy and one view across very different agents, from business copilots to developer tools, with an MCP gateway for tool traffic. It suits security teams that already worry about agent sprawl beyond engineering.
3. Nightfall AI — Data Loss Prevention Inside Agent Workflows
Nightfall comes from data loss prevention, and its AI Agent Security product, introduced in June 2026, applies that strength to agents. Native hooks for Cursor, Claude Code in the IDE and CLI, and VS Code on macOS and Windows scan and block prompts, MCP tool calls, tool responses and shell commands that would expose sensitive data.
It also discovers local and remote MCP servers, flags shadow servers on managed devices and classifies tools by whether they read, write or destroy data. It is the strongest fit when the main concern is secrets, customer data or source code leaving through an agent.
In September 2026 Palo Alto Networks connected Prisma AIRS, its AI security platform, with Cortex Agentic Endpoint Security to cover coding agents on developer machines, naming Claude Code, Cursor, Codex, GitHub Copilot and Antigravity. The approach uses the agents’ hook points, so it sees commands and tool calls that never cross a network proxy.
For organizations already standardized on Palo Alto for network, cloud and endpoint security, this adds coding agent inspection without a new vendor. It is less compelling for teams outside that ecosystem.
5. Noma Security — One Posture Across Endpoint, SaaS And Homegrown Agents
Noma Security announced endpoint agent security on September 28, 2026, covering local coding agents including Claude Code and Cursor. It inspects agent configuration files, skills and connectors, and deploys through a company’s existing EDR or MDM tooling rather than a new agent.
Noma’s broader platform already covers AI posture across SaaS and homegrown agents, so the endpoint addition suits buyers who want a single inventory and policy for every kind of agent in the company.
Lasso covers local desktop agents including Claude Desktop, Claude Code, Cursor, Windsurf and Codex, along with MCP server discovery and gateway enforcement. It integrates with browser extensions, proxies, CrowdStrike and firewalls, and also discovers AI applications, cloud agents, CI/CD usage and AI gateways.
Its behavioral approach focuses on what an agent was trying to do, not just what it did, which helps catch privilege escalation before damage occurs. It suits teams that want MCP traffic and desktop agents governed together.
Prompt Security, now part of SentinelOne, protects AI use on three fronts: employee AI use, developer AI in IDEs and coding assistants, and runtime protection for homegrown applications. On the developer side it adds guardrails to coding assistants, discovers shadow MCP servers and enforces least-privilege agent scopes with an audit log.
It is a practical choice for companies that want developer and workforce AI controls from one product, especially SentinelOne customers.
8. MintMCP — Full Visibility Into What Coding Agents Do And Spend
MintMCP, which has been rebranding as Mintive, offers an Agent Monitor that records prompts, file access, commands, MCP tool calls, usage and token costs across Claude Code, Cursor, Codex and GitHub Copilot. Its Agent Gateway gives agents their own identities, scoped permissions and per-agent audit trails.
It is especially useful as a first step, when a security team needs to see what agents are already doing before deciding what to block, and when finance wants agent spending tracked alongside risk.
9. OX Security — AppSec-Led Governance For Coding Agents
OX Security approaches coding agents from application security. Its VibeSec capability governs Claude Code, Cursor and Copilot, and an Agent Activity Log records prompts, MCP tool calls, shell commands and external SaaS requests across the developer fleet.
It complements code scanning tools that only look at code at rest, since those cannot see what an agent ran while writing it. It suits AppSec teams that want agent behavior and code risk in one place.
10. Straiker — Finding Over-Permissioned Agents And Risky MCP Connections
Straiker’s Discover AI finds coding agents including Cursor, Claude Code, GitHub Copilot and Windsurf, and flags over-permissioned agents and risky MCP connections. It pairs discovery with Straiker’s wider runtime protection for AI applications and agents.
It is a good starting point for security teams that do not yet know how many agents are running, or how much access they have been given.
How To Choose A Security Tool For AI Coding Agents
Can It Stop An Action Before It Runs?
Visibility is useful, but the most important capability is blocking a dangerous command, file read or tool call before it happens. Tools that use the agents’ own hooks, such as Pillar, Zenity, Nightfall and Palo Alto, see actions a network proxy never will.
Does It Cover The Agents Your Developers Actually Use?
Coverage varies by agent and by operating system. List the agents in use, including CLIs, IDE extensions and desktop apps, and check each vendor’s documented support rather than its marketing page.
How Does It Handle MCP Servers, Skills And Plugins?
Much of the risk sits in what agents load. Look for discovery of local and remote MCP servers, risk scoring for servers and skills, and allow-lists. Our guide on how to audit an MCP server before you install it explains what to check, and our list of MCP security tools covers gateways and scanners.
Will Developers Accept It?
Controls that slow every command get switched off. Favor tools that block only real risk, explain why, and are tamper resistant without adding noticeable latency.
What Else Is Needed Around It?
Endpoint controls work best alongside sandboxes for risky execution, code review on what agents produce and identity controls on what they can reach. See our AI agent security checklist for the full picture.
Conclusion
Pillar Security leads this list for its pre-action blocking and deep configuration checks across Claude Code, Codex and Cursor, with Zenity close behind for teams that want coding and business agents under one policy. Nightfall is the pick when data leakage is the main fear, Palo Alto Networks and Noma suit buyers consolidating on a platform, and Lasso, Prompt Security, MintMCP, OX Security and Straiker each bring strong discovery, visibility or AppSec angles. Start by finding every agent and MCP server in use, then add controls that block the few actions that truly matter.
