Agents inherit powerful credentials
A coding agent often acts through a developer machine, CI identity or service token. Without runtime controls, one bad instruction can reach everything that identity can reach.
AI coding agent security
Secure AI coding agents before they touch code, shells, databases or deployments
AI coding agents are moving from suggestions to action. They can edit repositories, run commands, inspect logs, query databases and trigger deployment workflows. AgentGate gives security and platform teams a runtime authorization layer for those tool calls, so adoption can grow without handing every agent broad production access.
What this page helps you solve
Learn how to secure AI coding agents, control Claude Code and Codex tool calls, govern Cursor workflows, and add approvals and audit logs to agentic developer tools.
Start a 14-day trial
Create a live workspace. No production credentials required.
Talk to enterprise
Plan a managed, private or self-hosted deployment.
The risk buyers are trying to control
Shell and repo access are high impact
Commands, migrations, commits, pull requests and deploy scripts can create real production incidents when they run without policy or human approval.
Security teams lack attribution
After an incident, teams need to know which agent requested which tool, what arguments were used and which policy allowed or denied the action.
Continue your security review
External risk signals
The market is moving toward AI-specific runtime controls
These third-party benchmarks are not AgentGate performance claims. They explain why buyers now ask for governance, authorization, auditability and data protection before approving agentic workflows.
$4.99M
global average breach cost
IBM Cost of a Data Breach Report 2026 reports a record global average breach cost and highlights rising AI-driven attack pressure.
IBM Cost of a Data Breach Report 202656%
increase in AI-driven attacks
IBM frames AI-driven attacks as a major driver of new security spending and governance requirements.
IBM Cost of a Data Breach Report 202631%
breaches starting with software vulnerabilities
Verizon DBIR 2026 reports software vulnerabilities as a leading breach entry point, relevant to agents that can run code and touch production systems.
Verizon DBIR 2026LLM01
prompt injection is a top LLM risk
OWASP identifies prompt injection as a major LLM application risk that can lead to unauthorized access, data exposure and compromised decisions.
OWASP Top 10 for LLM ApplicationsHow AgentGate solves it
Per-agent credentials
Register each coding agent separately with environment and trust level so access decisions are attributable and revocable.
Tool-call policy enforcement
Evaluate MCP tool name, capabilities, target environment and arguments before shell, database, source-control or deploy actions execute.
Approvals for risky actions
Route production deploys, database writes, destructive commands and customer-data exports to human approval with expiry and replay protection.
Before and after AgentGate
Without runtime authorization
With AgentGate
AI coding agents connect directly to MCP servers and inherit broad tool access.
Agents call AgentGate first; every tool call is authorized, denied or routed to approval before reaching the MCP server.
Audit logs show a service account or developer token, not the agent decision context.
Audit records capture agent, tool, risk score, policy reason, decision and approver metadata.
Secret-like values can leak into logs, prompts or upstream tools.
Sensitive patterns are detected and redacted before audit records are written.
Business outcomes
Adopt agents faster
Engineering teams can use AI coding agents for real work while security keeps production boundaries intact.
Reduce incident blast radius
High-risk tool calls are stopped before execution instead of investigated after damage.
Pass buyer security reviews
SaaS teams can show a credible control plane for agentic developer workflows.
Frequently asked questions
- Does AgentGate replace developer IAM?
- No. It complements IAM by adding runtime authorization at the AI agent tool-call layer, where MCP tool names, arguments and risk signals are visible.
- Can it work with Codex, Claude Code, Cursor and Cline?
- AgentGate is designed for MCP-compatible clients and agent workflows. The agent points at the gateway, and the gateway controls access to upstream MCP servers.
- Which coding-agent actions should require approval?
- Production deploys, database writes, destructive shell commands, customer-data exports, payment actions and changes to secrets or infrastructure should usually require approval.
Put a control point in front of your AI coding agents
Start a live workspace and validate one coding-agent workflow with policy, approvals, redaction and audit evidence.
Start a 14-day trial
Create a live workspace. No production credentials required.
Talk to enterprise
Plan a managed, private or self-hosted deployment.