Operational intelligence for production incidents

Your AI agents can already reach production. BitSentry is the trust layer that keeps them on runbooks you approved, with evidence for every action.

Data doesn't leave your cloud Bring your own AI provider Every agent action logged

Connect the tools already involved in your incidents · 13 available today →

The control gap

Agents are already in production
Governance isn't

85% of surveyed organizations already run AI agents in production, and 65% reported at least one agent-related incident in the past year. This is what agent access without a control layer looks like.

  1. 01  Untracked Agents

    82%

    82% of teams discovered agents in their environment that nobody had tracked.

    Cloud Security Alliance (2026)

  2. 02  Excess Access

    74%

    74% report agents with more access than their tasks require.

    Cloud Security Alliance (2026)

  3. 03  Attribution Gap

    68%

    68% cannot clearly separate agent activity from human activity.

    Cloud Security Alliance (2026)

  4. 04  Autonomous Actions

    8 in 10

    Roughly 8 in 10 say agents have already taken consequential autonomous actions.

    Kore.ai Agent Productivity Index (2026)

Self-reported survey data, not BitSentry measurements.

Trust-layer for agents

A prompt is not
a permission

An agent that can think shouldn't automatically get to act. The agent picks the runbook, and the runtime runs it: only the checks and fixes you approved, every action logged.

See the report

Free PDF, no email required

1

Observability

Alert fires

2

Agentic AI

Sees the alert, executes a runbook

3

BitSentry Runbook Runtime

Runs the approved checks and fixes

Policies Permissions Observability Audit & Logs
4

Infrastructure

Execute

5

Codebase

Check & update

PRODUCTION IN ACTION

Watch an agent diagnose a
production incident in real time

Two minutes. One real incident, diagnosed step by step through a BitSentry runbook.

Who this is for

Built for teams already
running agents in production

BitSentry is for production work that is repeated, distributed, and risky enough that letting an agent execute unaudited is not acceptable.

disk-pressure-triage

One reviewed runbook

acme-prod

globex-k8s

initech-aws

The same playbook runs across every client environment

Two ways to run it

The brain in the cloud
The hands on your machine

Cloud: always-on team investigations triggered by production signals.

Desktop: local, hands-on runbook creation and incident investigation.

Same runbooks, same evidence trail.

BitSentry Cloud

For teams

BitSentry Desktop

Free in beta

Runs 24/7, unattended
Background investigations from alerts
Shared team runbook library
Team-wide audit trail
Runs fully local, on your machine
Build and run runbooks hands-on
Bring your own AI provider
Book a pilot
Download the app

Use Integrations or Create your own

Works with your stack.
Extends to the rest of it.

Every integration is a code plugin: drop one in and it plugs straight into the investigation loop. Pull context in, push findings out.

  • 13 integrations available
  • Bring your own AI provider
  • Runbooks run any CLI or API
  • New sources added on request

Sentry

Error tracking & alerts

Wazuh

Security events & SIEM

PostHog

Product analytics & events

Trello

Incident boards & tickets

Claude Code

Agentic investigation

Codex

AI coding agent

Gemini

Google AI models

OpenCode

Open-source agent

Cursor

AI editor agent

Groq

Fast inference

OpenRouter

Any model, one API

KiloCode

AI coding agent

Ubuntu

Runbooks over SSH

RHEL

Enterprise Linux servers

Debian

Stable server fleets

SUSE

Enterprise Linux servers

CentOS

Legacy server fleets

Browse all integrations

Bring us one recurring incident

We will help you turn it into a reusable investigation and measure how much faster your team reaches root cause.

Book a pilot Or download the free desktop app

Use cases

Trust your agents
to run real commands.

Don't lose control of your agents in production. BitSentry adds a trust layer to agent execution: deterministic runbooks, author-time authorization, and an audit trail, so every command that touches your systems is one you can trust.

MSPs and agencies

Standardize diagnostics across clients

Give every technician the same troubleshooting workflow, with audit trails and an evidence summary available on every run.

See the MSP pitch

On-call runbooks

Diagnose once, then automate

Don't waste your team's time troubleshooting the same incident twice. Diagnose it once, turn it into a runbook, and let agents run it safely next time.

See the on-call angle

Support engineering

Reduce repeated escalations

Turn your production investigations into reusable runbooks to solve incidents faster.

Explore the use case
Explore more