Security Analyst
Datadog Bits AI Security Analyst is an AI agent that automates threat investigation and remediation within Datadog's Cloud SIEM platform.
Publisher review
Datadog Bits AI Security Analyst is an AI agent that automates threat investigation and remediation within Datadog's Cloud SIEM platform. It targets security operations center (SOC) teams drowning in alert volume, aiming to cut investigation time from hours to minutes. The tool is generally available and integrates natively with Datadog's observability and security suite, including Infrastructure Monitoring, Application Performance Monitoring, Database Monitoring, Log Management, Cloud Security Posture Management, Vulnerability Management, Compliance, Workload Protection, App and API Protection, Sensitive Data Scanner, Secret Scanning, and Security Labs Research. It is designed to make Datadog's platform more central to how SOCs run day-to-day.
Bits AI Security Analyst works by triaging incoming security alerts, gathering contextual evidence from across Datadog's telemetry, and proposing next steps in minutes rather than hours. It can automatically execute remediation actions, such as quarantining a compromised host or revoking an API key, based on predefined playbooks. The agent leverages Datadog's Cloud SIEM to correlate signals from cloud, application, and infrastructure layers, reducing the manual effort required to piece together an attack timeline. It also supports natural language queries, allowing analysts to ask questions like "What did this user do in the last hour?" without writing complex search queries.
In the AI-powered SOC automation space, Bits AI Security Analyst competes with established SIEM and XDR vendors such as CrowdStrike, Splunk, Palo Alto Networks, and Exabeam. Unlike CrowdStrike's Falcon or Splunk's SOAR, Bits AI is deeply embedded within Datadog's unified observability platform, giving it access to a broader set of telemetry (APM, infrastructure, logs, security) in a single pane of glass. However, it is a relatively new entrant and lacks the mature threat intelligence feeds and extensive partner integrations that competitors like Palo Alto Networks (Cortex XSOAR) or Splunk (SOAR) offer. Its primary advantage is the tight coupling with Datadog's existing customer base, which already uses the platform for monitoring and observability.
The honest trade-offs: Bits AI Security Analyst is only valuable if you are already a Datadog customer—it does not operate as a standalone SIEM or SOAR. Its remediation actions are limited to what Datadog's integrations support; for example, it cannot directly interact with third-party firewalls or EDR agents outside the Datadog ecosystem. The tool's effectiveness depends on the quality and completeness of the telemetry ingested into Datadog; gaps in log coverage or misconfigured data sources will lead to incomplete investigations. Finally, pricing is not publicly disclosed, making it difficult to compare total cost of ownership against competitors that offer transparent per-seat or per-event pricing.
How it works
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Automated threat triage
Prioritizes alerts by severity and context, reducing the number of false positives analysts must manually review.
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Contextual evidence gathering
Pulls related logs, metrics, and traces from Datadog's platform to build a complete incident timeline automatically.
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Remediation playbooks
Executes predefined actions like isolating a host or revoking credentials in response to confirmed threats.
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Natural language querying
Allows analysts to ask questions in plain English, such as 'Show me all alerts from this IP in the last 24 hours.'
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Cloud SIEM integration
Works natively with Datadog's Cloud SIEM to correlate signals across cloud, app, and infrastructure layers.
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Multi-source telemetry correlation
Combines data from Infrastructure Monitoring, APM, Log Management, and Security products for unified analysis.
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Alert overload reduction
Designed to cut through high alert volumes by proposing next steps in minutes instead of hours.
Strengths and trade-offs
Strengths
- Reduces threat investigation time from hours to minutes by automating evidence gathering and triage.
- Integrates natively with Datadog's Cloud SIEM, giving analysts access to correlated telemetry from 14+ security and observability products.
- Supports automated remediation actions such as host isolation and API key revocation without manual intervention.
- Offers natural language querying, enabling analysts to investigate incidents without writing complex search syntax.
Trade-offs
- Only works within the Datadog ecosystem; it cannot ingest or act on data from third-party SIEMs or EDR tools.
- Pricing is not publicly disclosed, making it difficult to compare total cost against competitors like Splunk or CrowdStrike.
- Remediation actions are limited to Datadog-integrated services and do not extend to firewalls, network gear, or non-Datadog agents.
- Effectiveness depends on the completeness of telemetry ingested into Datadog; gaps in log coverage can lead to incomplete investigations.
Pricing context
Not publicly disclosed; pricing is likely tied to Datadog's existing subscription tiers and usage-based models for Cloud SIEM and other products.
Getting started with Security Analyst
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Sign up for Datadog
Create a Datadog account if you do not have one. Bits AI Security Analyst is not a standalone tool; it requires an active Datadog subscription with Cloud SIEM enabled. Choose a pricing tier that includes security monitoring features.
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Connect your data sources
Install Datadog agents on your cloud infrastructure, applications, and hosts to send telemetry. Configure log collection, metrics, and traces from all relevant sources. Ensure your data covers cloud, app, and infrastructure layers for complete investigations.
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Enable Cloud SIEM and Bits AI
In the Datadog console, activate Cloud SIEM to start ingesting security signals. Then enable Bits AI Security Analyst from the security settings. This turns on automated triage, evidence gathering, and natural language querying for your environment.
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Define remediation playbooks
Create predefined playbooks for common threats, such as host isolation or API key revocation. Use Datadog's automation framework to specify actions and triggers. Test each playbook in a sandbox to verify it executes correctly before going live.
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Run a natural language investigation
Open the Bits AI interface and type a question like 'What did this user do in the last hour?' Review the generated timeline and suggested next steps. Use the automated remediation options to respond to confirmed threats directly from the chat.
Frequently Asked Questions
What is Datadog Bits AI Security Analyst?
It is an AI agent within Datadog's Cloud SIEM that automates threat investigation and remediation for SOC teams. It triages alerts, gathers contextual evidence from Datadog's telemetry, and proposes next steps in minutes instead of hours.
How does Bits AI Security Analyst automate threat investigation?
It triages incoming security alerts by severity and context, pulls related logs, metrics, and traces from Datadog's platform, and builds a complete incident timeline automatically. This reduces manual effort and speeds up analysis from hours to minutes.
What remediation actions can Bits AI Security Analyst perform?
It can execute predefined playbooks to quarantine a compromised host or revoke an API key automatically. These actions are limited to what Datadog's integrations support and do not extend to third-party firewalls or non-Datadog EDR agents.
Does Bits AI Security Analyst work without Datadog?
No, it only operates within the Datadog ecosystem. It cannot ingest or act on data from third-party SIEMs or EDR tools. Its effectiveness depends on the completeness of telemetry ingested into Datadog, so gaps in log coverage can lead to incomplete investigations.
How does Bits AI Security Analyst compare to CrowdStrike or Splunk?
Unlike CrowdStrike's Falcon or Splunk's SOAR, Bits AI is deeply embedded in Datadog's unified observability platform, offering broader telemetry access. However, it lacks mature threat intelligence feeds and extensive partner integrations, and pricing is not publicly disclosed.
What is the pricing for Datadog Bits AI Security Analyst?
Pricing is not publicly disclosed. It is likely tied to Datadog's existing subscription tiers and usage-based models for Cloud SIEM and other products. This makes it difficult to compare total cost of ownership against competitors with transparent per-seat or per-event pricing.
Alternatives
How Security Analyst compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Security Analyst
- Pricing
- Not publicly disclosed; pricing is likely tied to Datadog's existing subscription tiers and usage-based models for Cloud SIEM and other products.
- Target
- Datadog Bits AI Security Analyst is an AI agent that automates threat investigation and remediation within Datadog's Cloud SIEM platform.
- Strength
- Reduces threat investigation time from hours to minutes by automating evidence gathering and triage.
- Watch for
- Only works within the Datadog ecosystem; it cannot ingest or act on data from third-party SIEMs or EDR tools.
CompTIA Security+
- Pricing
- $425 exam fee
- Target
- Entry-level IT professionals with 1-2 years experience
- Deployment
- Exam-based certification
- Strength
- Most widely recognized entry-level cybersecurity baseline certification globally
- Watch for
- Renewal required every 3 years via CEUs or retake exam
ISC2 CISSP
- Pricing
- $749 exam fee
- Target
- Experienced security practitioners with 5+ years
- Deployment
- Exam-based certification
- Strength
- Gold standard for senior security roles; required by many government contracts
- Watch for
- Requires 5 years paid work experience in 2+ domains; strict endorsement process
EC-Council CEH
- Pricing
- $1,199 exam fee
- Target
- Penetration testers and offensive security specialists
- Deployment
- Exam-based certification
- Strength
- Most recognized ethical hacking credential; hands-on practical exam option
- Watch for
- High cost; criticized for outdated content in some modules
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Sources
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