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Security / EDR / Vuln

Mimecast AI Integration

Connect Mimecast to BeforeQuery for grounded AI answers and agent actions across Security / EDR / Vuln.

Connect Mimecast
What is it?

About Mimecast

Mimecast is one of the Security / EDR / Vuln platforms BeforeQuery connects to. Once linked, the platform's data becomes a first-class source for grounded AI answers and a target for policy-gated agent actions — the same identity, approval, and audit-log guarantees every other integration ships with.

Setup

How to connect Mimecast

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → Security / EDR / Vuln and select Mimecast.

  2. Step 02

    Sign in to Mimecast with an account that has permissions to grant BeforeQuery the Security / EDR / Vuln scopes required.

  3. Step 03

    Confirm the connection. Mimecast is now available as a source and action target for every playbook in your workspace.

Explore

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How BeforeQuery uses Mimecast

What the agent does with your Mimecast connection

  • 01

    Read alerts, findings, and detections from Mimecast into the Context Graph for triage playbooks.

  • 02

    Auto-triage new Mimecast alerts — enrich with context, correlate against prior incidents, and route to on-call.

  • 03

    Draft incident reports, containment plans, and post-mortem narratives grounded in Mimecast data + your runbooks.

  • 04

    Orchestrate response actions — isolate hosts, quarantine files, revoke tokens — via Mimecast write operations.

Use cases

What teams actually do with the Mimecast integration

Alert triage + auto-enrichment

Every new Mimecast alert gets enriched with Context Graph data: who owns the host, what data lives on it, what recent activity looks anomalous. Analysts open triaged incidents, not raw alerts. Triage volume drops 60-80%.

Anomalous-login response

Mimecast detects impossible-travel login → BeforeQuery cross-checks calendar, VPN, and prior login patterns → auto-locks the account if the risk score is high, or asks the user to verify via out-of-band challenge if it's medium.

Incident post-mortem drafting

Post-incident, BeforeQuery drafts the timeline from Mimecast events, ticket comments, chat logs, and change-management records. Reviewer edits and publishes; hours of manual reconstruction reduced to minutes.

Answer questions grounded in Mimecast

Employees and customers ask Mimecast-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact Mimecast record shown alongside the response. No context switching, no "log into Security / EDR / Vuln to check" round-trips.

Mimecast — Frequently Asked Questions

Common questions about connecting BeforeQuery to Mimecast.

Yes when scoped. Threat-intel scopes are separated from user-data scopes; incident-response playbooks that need both require approver check-in. Never used for training, never leaves the workspace.
Standard OAuth 2.0 where Mimecast supports it, otherwise API-key or bearer-token auth. Credentials are stored encrypted at rest (AES-256-GCM) per workspace, never shared across customers, and rotated on request. The connection is scoped to the least-privilege set of scopes each playbook needs — you approve the scope list on install.
No. Your Mimecast data feeds only your workspace's own agents and answers. Nothing is used to train a shared model, and nothing crosses workspace boundaries. Bring-your-own-model is available on Enterprise if you want to pin inference to your own OpenAI / Anthropic / self-hosted deployment.
Yes. Every Mimecast integration is scoped at install time — you pick which resources, users, or record types are visible. You can further restrict per-playbook: a single playbook only touches the specific Mimecast objects it needs. Scope changes take effect on the next sync.
Every write is logged with the acting user, the playbook that fired it, the exact operation, the target entity IDs, and the timestamp — all in the immutable audit log. Writes are rehearsable in simulation mode against a copy of live data before they touch Mimecast for real.

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