M

MaybeDontAI

MaybeDontAI is a guardrail layer for Agentic AI. It blocks risky MCP and CLI calls before they run and audits every execution, giving teams full traceability and control.
Rating:
5
Visit Website
AI agent guardrailsMCP Gateway policy controlCLI command blockingagent tool call auditprompt injection protectionAI policy engineagent security governance

Features of MaybeDontAI

Single policy engine for both MCP tool calls and CLI commands.
Pre-execution rules: Allow or Deny every request with a clear reason.
Full audit log—source, decision path and result—for instant forensics.
Audit-only mode: watch policy hits first, then flip to enforce.
MCP Gateway via HTTP, SSE or stdio—plug any agent into your tools.
CLI Gateway covers gh, aws, kubectl, terraform, docker and more.
Hooks SDK for deterministic, in-process command governance.
Ships to Splunk, Elastic, Datadog or any SIEM for unified alerting.
Built-in policy docs & test suite for safe, iterative rule updates.

Use Cases of MaybeDontAI

Validate high-risk tool calls before internal AI agents touch production.
Block and log every kubectl, terraform or docker command in CI/CD.
Run in audit-only mode to measure false positives before going live.
Centralize permissions across MCP and CLI surfaces in one place.
Replay any incident with full decision logs for fast root-cause analysis.
Create an immutable execution record for compliance and accountability.
Segment multi-tenant agent infra with per-team policy rules.

FAQ about MaybeDontAI

QWhat is MaybeDontAI?

A governance layer that sits between AI agents and their tools, enforcing policies and capturing every decision for later review.

QWhich problems does it solve?

It cuts the risk of autonomous tool and shell commands by checking them first and logging the outcome, so you stay in control.

QHow do I connect it?

Use the MCP Gateway (HTTP/SSE/stdio) for agent tools, or the CLI Gateway/Hooks for shell commands—no code changes required.

QWhat do the Hooks do?

They invoke the policy engine in-process, guaranteeing that disallowed commands never reach the OS.

QCan I start in monitor-only mode?

Yes—enable audit-only to collect data and tune rules before you start blocking.

QWhat gets logged?

Who called what, the policy verdict, and the final result—everything you need for audits and incident response.

QWill it work with my existing logs?

Out-of-the-box exporters for Splunk, Elastic and Datadog; generic webhook for any other SIEM.

QWho should use it?

DevOps, platform, security and AI teams that run autonomous agents or automated CLI scripts in production.

Similar Tools

O

Operant AI

Operant AI is an enterprise-grade AI runtime security platform that covers AI apps, Agents, MCPs, APIs and cloud environments—giving teams full asset visibility, real-time risk detection and inline protection.

M

ModuAI

ModuAI is a security control plane built for AI-native development. Sitting in the request path, it enforces policies, audits activity, and routes traffic—so teams stay in control of risk and cost when coding agents go to work.

V

VindicaraAI

VindicaraAI is a runtime security control layer for Autonomous AI Agents and MCP connections, enforcing real-time policy, risk blocking, and audit governance across production pipelines.

C

CastlAI

CastlAI is an AI-agent governance gateway purpose-built for MCP systems. It enforces policies, controls tools in real time and keeps an audit trail—so teams can run agent workflows safely, even in locked-down environments.

C

ClampdAI

ClampdAI is a tool-calling firewall and governance layer for AI agents. It vets every database query, API call, file operation or shell command before execution—blocking risky requests, enforcing policies and logging audits—so teams can ship and scale agent capabilities with confidence.

A

AgentAnchorAI

AgentAnchorAI is an enterprise-grade governance platform for AI agents, delivering pre-execution gatekeeping, dynamic authorization and full audit trails—so teams can run multi-agent workflows with built-in risk controls.

F

FencioAI

FencioAI delivers runtime security and governance for AI agents—helping teams benchmark before launch, enforce policies in production, and maintain a full audit trail to manage risk with confidence.

G

GuardAI

GuardAI delivers enterprise-grade AI governance and guardrails—centralized model access, data-flow control, and full auditability to cut risk and boost observability.

G

GuardionAI

GuardionAI is an enterprise-grade runtime security gateway that sits in the AI agent execution path, delivering full observability, automatic PII redaction, dynamic guardrails and searchable audit logs—so you can ship AI faster while keeping data risk low.

A

AgentIDAI

AgentIDAI is a production-grade AI governance control platform that unifies runtime guardrails, compliance evidence and audit analytics, giving teams traceable and manageable AI operations at business-delivery speed.