D
Security / EDR / Vuln

Drata AI Integration

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

Connect Drata
What is it?

About Drata

Drata 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 Drata

  1. Step 01

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

  2. Step 02

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

  3. Step 03

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

Explore

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How BeforeQuery uses Drata

What the agent does with your Drata connection

  • 01

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

  • 02

    Auto-triage new Drata 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 Drata data + your runbooks.

  • 04

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

Use cases

What teams actually do with the Drata integration

Alert triage + auto-enrichment

Every new Drata 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

Drata 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 Drata events, ticket comments, chat logs, and change-management records. Reviewer edits and publishes; hours of manual reconstruction reduced to minutes.

Answer questions grounded in Drata

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

Drata — Frequently Asked Questions

Common questions about connecting BeforeQuery to Drata.

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 Drata 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 Drata 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 Drata 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 Drata 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 Drata for real.

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