PLATFORM
Fewer tabs, one agent: everything Incident Lake does before, during and after an incident
Most incident stacks grow one tool at a time: monitoring here, chat there, tickets, a CMDB, a doc template for the postmortem. Context fragments, and the commander ends up stitching it back together under pressure. Incident Lake covers preparation, live response and follow-through with a single AI agent. Across every feature the rule is the same: the agent proposes, a human decides.
01 Prepare
Get runbooks, topology and drills in shape before you need them
The work you do on a quiet Tuesday decides how the next outage goes. Keep exercises, configuration data and procedures in the same place your responders will be working.
Tabletops happen once a year, if that
Pick from an industry scenario catalog or have an LLM draft one for review. Injects land on schedule, facilitators and players get separate views, and the debrief is drafted for you, exportable to PDF or Excel.
Only one person really knows the dependencies
A built-in CMDB puts configuration items and a BCP business layer in one graph, with change history, vector search, NetBox and ServiceNow sync, and bulk operations for estates in the thousands of items.
Multi-region, and unsure which rules apply where
Register sites by country and region. Each site and tag combination surfaces the regulations that may apply and the to-dos that come with them.
A vendor got breached. Are we exposed?
Supplier management with a breach impact map shows which of your services and business processes depend on the affected vendor.
Runbooks are stale or impossible to find
Knowledge goes live through an approval queue. Bulk-import from CSV, and during an incident the agent searches it for you.
Nobody can say which document a decision rested on
The evidence library keeps the original PDFs and tracks them as Verified Sources.
Every update starts from a blank page
Prepare report templates and a status page ahead of time, so the first message out is never improvised.
02 Respond
Run the incident from the thread you are already in
Your Slack or Microsoft Teams thread becomes the incident room. Security teams can see how this maps to their workflow on the CSIRT page.
The first minutes are chaos: who owns this?
Mention “@Incident Lake go” and the agent joins the thread, asks for commander and severity one question at a time, and builds the record as people confirm. Slack works across multiple workspaces.
One failure, a flood of alerts
Alerts from Datadog, Sentry, Grafana, Zabbix, Instana, Rollbar and Outlook alert mailboxes open incidents automatically, and related alerts are grouped into one.
Investigation means endless tab-hopping
The agent reads monitoring, code and docs with read-only access. In chat it finds similar past incidents, reads text from URLs and screenshots, and calls MCP tools.
The regulatory clock is tracked in someone's head
From the moment of awareness, the GDPR notification deadline is calculated for you, and reports can be drafted from chat. A person reviews and submits.
Stakeholders hear about it late, or not at all
Notification lists, bulk email with an approval step (recipients encrypted, CSV import), a status page and Statuspage integration. Nothing goes out unreviewed.
What was said on the bridge call is lost
A meeting bot joins Zoom, Google Meet or Teams, transcribes, and posts a summary to the incident notes. Outlook alert mailboxes are ingested, with replies kept in sync.
Action items vanish into another tracker
Tasks sync with Jira, Backlog and ServiceNow. Two-way sync, meaning issue creation and status transitions, runs only when an admin turns it on. URLs are linked automatically.
03 Learn and fix
Turn the timeline into a postmortem and fixes that actually ship
The record built during response feeds straight into reporting, analytics and problem management.
Postmortems get written from memory
Export reports, postmortems and chat outputs to PDF or Word. Share prompt templates across the team and use industry-specific terminology.
Recovery metrics are reconstructed by hand
Detection, mitigation and full-resolution times are captured automatically. Dashboards, incident analytics and a customizable BI dashboard show the trends.
The same outage keeps coming back
Problem management plus suggested improvement tasks track remediation through to done. Risks found in drills land here too.
No one connects the deploy to the outage
Track changes and releases imported from GitHub or entered manually, alongside contracts and agreements and a service catalog.
04 Platform and governance
Set the guardrails before you hand anything to an agent
Decide who sees what, and how far the AI is allowed to go, in line with your own policies.
Incident data can't go to a third-party model
Self-Hosted runs with a self-hosted LLM inside your environment. Model selection is available too.
Worried about an over-eager AI
AI guidelines keep a human in the loop: the agent suggests, people decide. Organization context injection and learning from rejected suggestions tune it to how your team works.
Access needs to be least-privilege
Per-feature read, write and manage permission groups, RBAC tags, and the ability to switch individual features on or off.
Audit and identity requirements to meet
Audit logs, SAML SSO, IP restrictions, and per-tenant encryption of integration secrets.
It has to plug into your platform
A public API, a remote MCP server secured with OAuth, and an organization console that spans multiple projects.
Permission groups are available from the Team plan; audit logs, SAML SSO and the public API come with annual plans. On-call scheduling and phone paging are not core features, so we recommend pairing Incident Lake with a dedicated paging tool. It does not replace a SIEM or EDR. References to regulations are general information, not legal advice.
Replay a past incident and judge for yourself
All you need is a work email and company name. Not sure where to start? We are happy to talk it through.
Start free (2 min) →