• Pricing
Book a demo

Datadog security monitoring: automate response with AI

Swiftask connects your AI agents to Datadog to turn security alerts into actionable workflows, instantly.

Result:

Drastically reduce MTTR (Mean Time To Respond) and free your SOC teams from repetitive triage tasks.

Datadog alert overload paralyzes your security teams

Your teams receive hundreds of Datadog alerts daily. Between false positives and low-priority alerts, the noise is deafening. Analysts waste precious time manually sorting through incidents, delaying the response to critical threats.

Main negative impacts:

  • Alert fatigue: Massive event volumes lead to operational lassitude, increasing the risk of missing a real breach.
  • Slow incident response: Manual qualification time delays the implementation of countermeasures, leaving a window of opportunity for attackers.
  • Operational silos: Security data remains trapped in Datadog, disconnected from your ticketing or communication tools.

Swiftask acts as an intelligent orchestrator. It ingests your Datadog alerts, uses AI to qualify the threat, and automatically triggers appropriate remediation actions.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A critical alert triggers in Datadog. An analyst gets a notification, must log in, verify logs, confirm the false positive, then open a ticket manually. Meanwhile, the threat progresses.

With Swiftask

The Datadog alert is sent to the Swiftask agent. AI instantly analyzes the context, confirms the threat, enriches the ticket with relevant logs, and notifies the response team on Slack or Teams.

Deploy your security agent in 4 phases

STEP 1 : Configure Datadog connector

Link your Datadog instance to Swiftask via secure API. Choose the event types to monitor.

STEP 2 : Define AI rules

Train your agent to distinguish normal behavior from real intrusion using specific prompts.

STEP 3 : Orchestrate actions

Connect your remediation tools (Firewall, IAM, Ticketing) to allow the agent to act autonomously.

STEP 4 : Monitor and adjust

Supervise decisions made by the AI and refine trigger thresholds in real time.

Intelligent capabilities for your operations

The agent correlates alerts with historical data to eliminate noise and isolate true attack vectors.

  • Target connector: The agent performs the right actions in datadog based on event context.
  • Automated actions: Automatic severity qualification. Contextual ticket enrichment. Temporary IP or user blocking. Hierarchical notification by channel.
  • Native governance: All actions taken by the agent are auditable in Swiftask to guarantee full compliance.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-datadog@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Strategic benefits for your SOC

1. Noise reduction

Eliminate 80% of irrelevant alerts before they reach your analysts.

2. Faster triage

Qualification time drops from several minutes to just seconds.

3. 24/7 response

Maintain an active security posture, even outside business hours.

4. Process standardization

Ensure every alert is treated according to your established security protocols.

5. No-code scalability

Adapt your security workflows without writing a single line of code.

Data privacy and security

Swiftask applies enterprise-grade security standards for your datadog automations.

  • End-to-end encryption: All data flowing between Datadog and Swiftask is encrypted.
  • Environment isolation: Each client has a hermetic workspace.
  • Granular access control: Precisely control your AI agent's permissions.
  • Full traceability: Unalterable history of every decision made by the AI.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measurable operational impact

MetricBeforeAfter
Qualification time5-10 minutes< 30 seconds
False positivesManual handlingAI-automated
SOC availabilityBusiness hoursContinuous 24/7
Analyst workloadSaturatedFocused on investigation

Take action with datadog

Drastically reduce MTTR (Mean Time To Respond) and free your SOC teams from repetitive triage tasks.

Optimize your cloud spend with AI and Datadog

Next use case