IAM sees the service account
Traditional IAM often cannot distinguish which agent requested a tool call, what prompt-derived arguments were used or whether the action is sensitive.
Comparison
Why IAM alone is not enough for AI agent tool calls
IAM is still essential, but it usually sees identities and resources, not the live MCP tool call an AI agent is trying to execute. AgentGate complements IAM by adding runtime policy, approval, redaction, risk scoring and audit evidence at the agent tool-call layer.
What this page helps you solve
For buyers comparing AI agent security controls, IAM for AI agents, MCP authorization gateways and runtime access control for autonomous workflows.
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The risk buyers are trying to control
Static permissions are too broad
Agents need context-aware decisions: environment, tool name, target, arguments, risk score and human approval state.
Approvals live outside IAM
Human approvals for production writes, data exports and deployments often happen in chat or tickets instead of the authorization path.
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
Runtime authorization
AgentGate evaluates each MCP tool call before execution and can allow, deny or require approval based on context.
Policy plus approval
Default-deny policy controls routine access while approval workflows handle sensitive but legitimate actions.
Audit-ready context
AgentGate records agent, MCP server, tool, decision, risk score, reason, approver and redaction metadata.
Before and after AgentGate
Without runtime authorization
With AgentGate
IAM grants an identity permission to reach a system.
AgentGate decides whether this specific agent tool call should run right now.
IAM policies rarely inspect MCP tool arguments.
AgentGate evaluates tool name, capabilities, arguments, target and risk signals.
IAM does not usually provide human-in-the-loop approval for individual tool calls.
AgentGate routes risky actions to approval with expiry and replay protection.
IAM logs may show access but not agent decision context.
AgentGate audit records show allow, deny, approval-required and error decisions with reasons.
Business outcomes
Keep IAM, add agent context
Use IAM for foundational identity and AgentGate for runtime decisions that need MCP and agent awareness.
Reduce over-permissioning
Agents can authenticate without receiving blanket permission to every tool exposed by an upstream server.
Explain controls to customers
Security reviews become easier when agent actions have policy, approval and audit evidence.
Frequently asked questions
- Is AgentGate a replacement for IAM?
- No. AgentGate complements IAM. IAM controls identities and resource access; AgentGate controls AI agent tool calls at runtime.
- Why can static permissions be risky for AI agents?
- Agent behavior depends on prompts, context and tool arguments. A static permission may allow too much when the specific requested action is sensitive.
- Where should AgentGate sit?
- AgentGate should sit between AI agents or MCP clients and upstream MCP servers, so tool calls pass through policy before execution.
Add runtime authorization on top of IAM
Start a live workspace and compare one IAM-protected workflow with AgentGate policy, approvals and audit records.
Start a 14-day trial
Create a live workspace. No production credentials required.
Talk to enterprise
Plan a managed, private or self-hosted deployment.