Visibility
An accurate record of what each agent can do.
OUR STORY
Never touch
Never touch
the original.
AI agents moved onto our machines faster than the controls around them. They read our files, run our commands and reach our messages, mail and money, often with permissions nobody remembers granting. Mockingbyrd exists so that what matters most stays exactly where you left it.
EST. 2026
WHY MOCKINGBYRD
Where it came from
We are as excited about artificial intelligence as we are aware of its risks, and we see no contradiction between the two. We adopted new AI tools early and rely on them heavily in our professional and personal lives. As those tools delivered more, we wanted more transparency, control and governance over what they could access and do. Mockingbyrd grew out of that need.
From answering to acting
AI tools no longer just make suggestions. They run commands, modify files, call external services through connectors and schedule their own tasks. That independence is what makes them valuable, and it is also what makes them a risk. Few people can say with confidence what their agents can reach today, or what has changed since last week.
Why now
Agents have moved into everyday work faster than the controls around them. In McKinsey's 2025 playbook on deploying agentic AI, 80% of organizations report risky behavior from AI agents, including improper data exposure and unauthorized system access. Its conclusion is that guardrails belong in the system rather than in individual discretion — which is the part we build for: controls that sit below an agent’s own settings, where a grant it was given cannot move them. Not a boundary; we are explicit about that.
Why it matters
On its own, a permission list is only a statement of intent. A wildcard grant, a general-purpose interpreter or an unreviewed configuration change can all get around it. Real control needs three things, and they are the three this product is built around: visibility, enforcement and assurance.
Agents also consume resources out of view. Mockingbyrd rebuilds their cost from the logs already on your machine and shows where the spending is inefficient.
Our approach
Mockingbyrd isn't a checklist, and it never makes changes you haven't seen and approved. It measures first, presents every fix as a script for your review, then enforces controls below the configuration layer and re-scans on your cadence to name what has drifted since the last look.
Enforcement
Controls below the settings, where a grant cannot move them.
Assurance
Prompt notice when either one changes.
Measure first.
Change nothing you haven't verified. Every check reports the evidence it found, not a green tick.
Fixes you read first.
No silent remediation. Every change is written as a script you can open before anything runs it.
Honest about limits.
Mockingbyrd runs as you. That is not isolation, and we don't claim it is.
Your data stays home.
Scans, the guard and the ledger read files already on your device, and none of it is uploaded. Agent Access, if you switch it on, is the one part that reaches out — on your behalf, to accounts you linked.
A permission list on its own is only a statement of intent.
Small, watchful, and impossible
to push off the nest.
It defends the nest.
Mockingbirds are famously fearless guardians. They will dive at cats, hawks and people twice their size to protect what is theirs.
IN THE PRODUCT · THE GUARD
Every tool call is read before it runs, below the permission list that let it through.
It knows every voice.
A mockingbird learns the songs of everything around it, and can name each one back.
IN THE PRODUCT · THE AGENT ROSTER
Every agent, subagent, job and connector it can see from disk, and what each one can reach.
It tells you in the morning.
Mockingbirds are among the few songbirds that stay alert and singing after dark.
IN THE PRODUCT · DRIFT DETECTION
A config that changed at 04:12, with nobody at the keyboard, is named at the next scan — an event, not a surprise next quarter.
Never touch the original.