Fiddler AI vs Microsoft Security Copilot

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Fiddler AI

AI observability and monitoring platform for ML and LLM systems covering performance, drift, safety and explainability with usage based tiers.

Pricing By quote
Category security
Difficulty Beginner
Type Web App
Status Active
Microsoft Security Copilot

Microsoft Security Copilot

Microsoft Security Copilot is a generative AI assistant for security teams that helps investigate alerts, summarize incidents and guide response using data from Microsoft security products, with capacity based billing in Security Compute Units so organizations can control usage and spend.

Pricing From $4 per hour
Category security
Difficulty Beginner
Type Web App
Status Active

Feature Tags Comparison

Only in Fiddler AI

observabilitymonitoringexplainabilityllmgovernance

Shared

None

Only in Microsoft Security Copilot

security-operationsincident-responsethreat-huntinggenai-assistantmicrosoft-defendermicrosoft-sentinelscu-billing

Key Features

Fiddler AI

  • • Unified monitoring for ML and LLM quality and drift
  • • Explainability tools to debug failures and bias
  • • Guardrails for safety fairness and PII protection
  • • LLM as a judge evaluations for complex tasks
  • • Role based access SSO and audit trails
  • • Usage based tiers with private deployment options

Microsoft Security Copilot

  • • Incident summarization: Generate concise summaries of security incidents and alerts to speed handoffs and reduce triage time.
  • • Promptbooks: Use reusable guided prompt sequences for common tasks like investigation and remediation planning and security reporting.
  • • Capacity based billing: Size usage with Security Compute Units and manage spend with provisioned capacity and overage limits.
  • • Defender integration: Combine Copilot prompts with Microsoft Defender incident context to accelerate investigation workflows.
  • • Sentinel workflows: Support SIEM style investigation by querying and summarizing incident data when using Microsoft Sentinel.
  • • Role based use cases: Microsoft publishes role and scenario guidance so teams can map prompts to SOC and IT responsibilities.

Use Cases

Fiddler AI

  • → Monitor production LLM chat for hallucinations
  • → Detect drift in ranking and recommendation models
  • → Investigate incidents with slice based explanations
  • → Set guardrails to block unsafe or PII leaking outputs
  • → Correlate quality drops with data pipeline issues
  • → Track latency and cost regressions over releases

Microsoft Security Copilot

  • → Alert triage: Ask Copilot to summarize what happened across related alerts so analysts can prioritize incidents faster during busy shifts.
  • → Incident investigation: Use promptbooks to gather context and identify affected assets and propose next steps for containment.
  • → Executive reporting: Turn incident timelines into readable summaries for leadership and compliance without manual rewriting.
  • → Threat hunting support: Query security telemetry in natural language to explore indicators and pivot across related activity.
  • → Remediation planning: Generate action checklists and validation steps so responders can coordinate fixes across teams and track closure.
  • → Shift handover notes: Create consistent handover briefs so the next analyst can continue investigation without losing context.

Perfect For

Fiddler AI

ml platform teams data scientists reliability and risk owners in regulated industries who need consistent AI quality governance and incident response

Microsoft Security Copilot

SOC analysts, incident responders, threat hunters, security engineers, SIEM administrators, CISOs and security managers, compliance teams needing incident summaries, IT ops teams coordinating fixes

Capabilities

Fiddler AI

Quality and drift Professional
Root cause analysis Professional
Safety guardrails Professional
Enterprise controls Professional

Microsoft Security Copilot

Incident Summaries Professional
Promptbooks Workflow Professional
SCU Capacity Model Enterprise
Plugins and Connectors Enterprise

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