Generic logs do not explain intent
Infrastructure logs may show an API call, but they rarely show the agent, prompt-derived arguments, policy reason or approval decision.
AI agent audit logs
Audit every AI agent tool call with decision-level evidence
When an AI agent changes a system, the question is not only what happened. Teams need to know which agent requested it, which MCP tool ran, what policy evaluated it, whether a human approved it and whether secrets were redacted. AgentGate records that evidence at the control point.
What this page helps you solve
See what an AI agent audit log should capture across MCP tool calls, policy decisions, redacted arguments, approval evidence and execution outcomes.
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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
Evidence is fragmented
Agent logs, MCP server logs, CI logs and SaaS logs live in different places, making incident response slow and incomplete.
Mutable logs weaken trust
Compliance and forensic workflows need records that are not casually edited after an incident.
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
Decision-level audit records
Every allow, deny, approval-required and error decision is recorded with tool, agent, reason, risk score and timing metadata.
Append-only model
Audit events are designed as an immutable record so customers can inspect what happened without losing decision history.
Exportable evidence
Audit exports support compliance review, customer security questionnaires and incident postmortems.
Before and after AgentGate
Without runtime authorization
With AgentGate
Security review relies on screenshots, chat transcripts and scattered service logs.
AgentGate creates centralized records for each authorization decision before execution.
Approvals and tool usage are disconnected.
Approval decisions are connected to tool calls, risk scores and redacted request context.
Raw secrets can appear in operational logs.
Redaction keeps sensitive values out of audit records while preserving useful metadata.
Business outcomes
Faster investigations
Teams can answer who, what, when, why and approved-by from one audit trail.
Better compliance posture
Evidence is structured around authorization decisions rather than scattered after-the-fact logs.
Higher buyer confidence
Enterprise prospects can see that agentic workflows are observable and accountable.
Frequently asked questions
- What should an AI agent audit log include?
- At minimum: agent identity, tenant, MCP server, tool name, arguments hash or redacted context, policy decision, risk score, reason, approver and timestamp.
- Does AgentGate log raw secrets?
- AgentGate is designed to detect and redact secret-like values before writing audit records. Secret detection reduces leakage risk but should be paired with secure deployment practices.
- Are denied tool calls logged?
- Yes. Denied and approval-required calls are often the most valuable audit evidence because they show controls working before execution.
Create audit evidence before your first agent incident
Start a live workspace and generate audit-ready records from one MCP workflow.
Start a 14-day trial
Create a live workspace. No production credentials required.
Talk to enterprise
Plan a managed, private or self-hosted deployment.