AI Security

Reduce shadow AI risk, inspect the approved path, and keep reviewable evidence.

AI Warden gives cybersecurity teams an inline control point for governed LLM traffic, MCP APIs, hosted agents and enterprise AI chat. Enforce corporate policy, call ICAP-supported DLP systems, contain risky sessions and keep reviewable evidence for allow, modify and block outcomes.

Explore ICAP / DLPSee MCP security

Risk / control / evidence

A security control matrix for enterprise AI traffic.

Security leaders do not need another dashboard only showing token charts. They need enforceable controls, clear ownership and evidence that survives audit and incident review.

RiskAI Warden enforcementEvidence produced
Public chat and shadow AIApproved enterprise chat, Agent Builder, model allowlists and gateway-only egressUser, team, agent, model and policy logs
Sensitive data in prompts or uploadsAI Warden scanners plus request inspection before model or tool executionDLP service, rule, decision, flags and request ID
Sensitive data in completions or tool outputResponse scanners plus response inspection before content reaches the userResponse decision, modified/blocked outcome and audit row
MCP tool abuseRegistry approval, method firewall, JSON-RPC scanning, per-server policy and DLP inspectionTool name, arguments, user, agent, latency and final verdict
Prompt injection and jailbreaksRequest/response scanner rules, custom patterns, tool containment and policy actionsMatched rule, severity, action and session context
Unapproved models or providersModel aliases, route policy, provider allowlists and gateway-side key custodyRoute decision, provider, model and principal
Repeated risky behaviourAlert, warn, end session, disable tools, pause agent or auto-disable user/agentBehaviour event linked to request-log history
Runaway agent spendRate limits, token caps, budgets and model downgrade/block actionsBudget event, cost attribution and owner notification

Enterprise DLP in the AI path

AI Warden does not ask you to replace DLP. It makes DLP enforce AI.

Many AI products offer built-in PII redaction. AI Warden can integrate ICAP-supported DLP platforms, including common enterprise DLP and SSE inspection services where supported, into the request and response path.

  • Inspect LLM prompts, chatbot uploads, completions, MCP tool arguments and MCP tool results.
  • Apply allow, modify or block outcomes before the model, tool or user receives content.
  • Configure fail-closed handling when ICAP times out, returns malformed data or cannot be reached.
  • Use ICAP metadata to trigger warnings, tool disablement, session termination or user/agent controls.
ICAP decision: blocked
surface: mcp.response
tool: customer_export
user: finance.user
agent: travel-expense-compliance
action: block_response + disable_file_export
evidence: request_log + governance_event

SOC response workflow

Security actions continue after the block.

A high-risk AI event should not disappear into a log table. AI Warden can turn DLP and policy outcomes into operational containment and review workflows.

1DetectScanner or ICAP flags sensitive data, prompt injection, unsafe tool use or policy drift.
2ContainBlock or modify content, warn the user, end the session or disable selected tools.
3EscalateNotify owner, SOC, platform admin or compliance reviewer based on severity and recurrence.
4ProveKeep request-log evidence tied to user, agent, policy version, DLP result and outcome.

Deployment and trust boundary

A security architecture buyers can recognize.

AI Warden sits in the approved AI path, keeps enforcement decisions explicit, and gives security teams one place to connect policy, DLP inspection, approvals and evidence.

Control plane
Policies, approvals and ownership Security teams define who can use which models, tools, agents and data classes.
Entry points Employees, apps and agents Enterprise chat, OpenAI-compatible API and MCP clients
Inline enforcement AI Warden Gateway Identity, policy, scanning, DLP decisioning, audit and containment
Approved destinations LLM providers and MCP servers Only sanctioned routes receive traffic after policy and inspection
Enterprise DLP inspection Prompts, uploads, tool calls and responses can be allowed, modified or blocked before data leaves the approved path.
Evidence and analytics Governed decisions can be written to a customer-controlled log store with user, agent, policy, DLP outcome and final action.

Security evidence

AI security decisions are designed to be reviewable.

Request logs can show who called what, which agent or app was involved, which policy applied, which scanner or ICAP service acted, whether content was allowed, modified or blocked, and what follow-up action was triggered.

Read ICAP integrationSee governance controls