AI Automation for Cybersecurity Teams on Datadog
Automate Cybersecurity workflows that run through Datadog. DeskFerry agents connect in minutes and handle the repetitive work for you.
84 alerts triaged · 3 escalated. Top-priority case:
Customer
“Anomalous login activity flagged for 3 user accounts from a new ASN — burst of 47 attempts in 90 seconds, all from same IP block.”
Agent draft · in your tone
Auto-classified as credential-stuffing pattern (matches signature CS-441 from Jan incident). All three accounts forced to re-authenticate, IP block added to deny-list, MFA challenge logs collected for review. Ticket P1 opened in Linear; security on-call paged.
How does Datadog work for cybersecurity teams?
Datadog works for cybersecurity teams as the engine behind a DeskFerry agent built around the workflows that actually consume your week.
- 01
Trigger fires
The agent reads context from Datadog and the other systems your cybersecurity operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision.
- 02
Triage every alert in our SIEM with @Datadog
Automate repetitive tasks and free up your cybersecurity team to focus on high-value strategic work.
- 03
Classify threat level
Teams typically see lower faster anomaly identification once the agent is in production.
- 04
Attach context from prior incidents
Setup is no-code, every action is auditable, and the agent is scoped to the rules your cybersecurity team defines — not a generic template applied to your business.
- 05
You approve
Anything under your confidence bar waits for a human.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Triage every alert in our SIEM with @Datadog
- 2Classify threat level
- 3Attach context from prior incidents
- 4Create the right ticket in @Linear
How it connects
Connect Datadog. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Datadog with one click, and cybersecurity runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- DatadogConnect
- LinearConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Datadog + DeskFerry can do
Real Datadog actions your AI agent can perform automatically — no manual work required.
Create Dashboard
Create a dashboard in datadog. dashboards provide customizable visualizations for monitoring your infrastructure, applications, and business metrics in a unified view.
Create downtime
Creates a new downtime in datadog to suppress alerts during maintenance windows or planned outages. useful for preventing false alarms during deployments or maintenance.
Create event
Creates a new event in datadog. events are useful for tracking deployments, outages, configuration changes, and other important occurrences.
Create monitor
Creates a new datadog monitor to track metrics, logs, or other data sources with configurable alerting thresholds and notifications.
Create SLO
Create a service level objective (slo) in datadog. slos help you define and track reliability targets for your services, enabling data-driven decisions about service quality and reliability investments.
Create Synthetic API Test
Create a synthetic api test in datadog. creates a new synthetic api test that continuously monitors api endpoints from multiple locations worldwide. useful for proactive monitoring of api uptime, performance, and functionality.
Create Webhook
Create a webhook in datadog. webhooks enable you to receive notifications from datadog monitors and alerts to external services and applications.
Delete Dashboard
Delete a dashboard in datadog. permanently removes a dashboard from your organization. this action cannot be undone. use with caution.
Delete monitor
Deletes a datadog monitor permanently. use with caution as this action cannot be undone.
Get Dashboard
Get a specific dashboard from datadog. retrieves detailed information about a dashboard including its widgets, layout, template variables, and metadata.
Auto-classified as credential-stuffing pattern (matches signature CS-441 from Jan incident). All three accounts forced to re-authenticate, IP block added to deny-list, MFA challenge logs collected for review. Ticket P1 opened in Linear; security on-call paged.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Production environment9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket INC-2841.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged INC-2841 as the matching topic.
How it works
Get started in three steps
Step 01
Connect Datadog
Authorize Datadog and DeskFerry hooks into your issues, repos, and deployment pipelines.
Step 02
Configure Dev Workflows
Define triggers for Datadog events — new issues, PR merges, build failures — and the AI actions to take. For cybersecurity teams, this typically means routing workflows from tools like Splunk alongside Datadog.
Step 03
Ship Faster with Less Toil
AI automates the tedious parts of your Datadog workflow. Track issues triaged, alerts handled, and developer time saved.
Start automating Cybersecurity for Datadog
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What cybersecurity workflows can I automate using Datadog and DeskFerry?
You can automate the full range of cybersecurity workflows through Datadog — lead processing, data entry, document handling, customer communications, and reporting. The AI agent reads from and writes back to Datadog so your cybersecurity data stays centralized.
How does Datadog integrate with DeskFerry for cybersecurity businesses?
DeskFerry connects directly to Datadog to automate workflows specific to cybersecurity. Data flows in real-time between Datadog and the AI agent, tasks trigger automatically based on cybersecurity events, and your team saves hours of manual processing every week.
How does DeskFerry keep cybersecurity data secure when using Datadog?
All data exchanged between Datadog and DeskFerry during cybersecurity processing is encrypted in transit and at rest. We use OAuth for Datadog access, maintain complete audit trails, and follow enterprise-grade security practices for cybersecurity compliance.
Can I test the Datadog integration with my cybersecurity data before going live?
Yes. You can run cybersecurity workflows in test mode using sample Datadog data before activating on live records. This lets you verify every automation rule works correctly with your cybersecurity processes before it touches real Datadog data.
How does Datadog with DeskFerry help Cybersecurity teams handle alert fatigue burying real signals in analyst queues?
DeskFerry uses Datadog as a structured surface for the operational work behind alert fatigue burying real signals in analyst queues. Instead of your cybersecurity team coordinating manually, the agent listens for the right Datadog events, takes the next action, and escalates only when judgment is required — turning a recurring drain into a measurable workflow.
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