Darktrace vs Fiddler AI
Compare security AI Tools
Darktrace
Enterprise AI platform for self learning cyber defense that baselines normal behavior to detect and autonomously respond to novel threats across network cloud email and OT.
Fiddler AI
AI observability and monitoring platform for ML and LLM systems covering performance, drift, safety and explainability with usage based tiers.
Feature Tags Comparison
Only in Darktrace
Shared
Only in Fiddler AI
Key Features
Darktrace
- • Self learning behavioral modeling across network cloud email and OT with baselines that adapt to seasonality and business context
- • Autonomous response that interrupts suspicious sessions surgically while preserving legitimate traffic to minimize business disruption
- • End to end visibility that correlates signals across sensors to reconstruct incidents and surface root cause without manual stitching
- • Explainable decisions with analyst friendly context that shows entities timelines and confidence so teams can verify actions quickly
- • Hybrid coverage with sensors and cloud connectors that protect SaaS mail and remote users without deep network redesign
- • Governance friendly operations with audit logs role controls and integrations for SIEM SOAR case systems and MDR partners
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
Use Cases
Darktrace
- → Stop data exfiltration by throttling unusual transfers during off hours while analysts verify context
- → Contain suspected account takeover by limiting risky actions until users reauthenticate and reset credentials
- → Detect lateral movement by correlating rare service to service authentications across segmentation zones
- → Spot business email compromise by modeling sender behavior and unusual financial requests before funds are moved
- → Protect OT networks by learning normal PLC and HMI patterns then flagging deviations without brittle rules
- → Accelerate incident investigations by replaying correlated timelines that show first cause and affected entities
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
Perfect For
Darktrace
security leaders blue teams SOC analysts incident responders risk and compliance owners and OT security engineers in mid market and enterprise environments that need adaptive detection and autonomous containment
Fiddler AI
ml platform teams data scientists reliability and risk owners in regulated industries who need consistent AI quality governance and incident response
Capabilities
Darktrace
Fiddler AI
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