Comparison guide

Vectra AI vs. Darktrace

Choose the platform built to protect modern networks from modern attacks with advanced AI.

Vectra AI vs Darktrace

Why choose Vectra AI over Darktrace?

With 12 AI patents and more references in MITRE D3FEND than any other vendor, Vectra AI finds attacks others can’t.

85%+ alert fidelity

Unlike Darktrace’s “Self-Learning AI,” which requires constant tuning, Vectra AI provides targeted attacker behavior models across network, identity, and cloud to reduce alert noise 85% or more.

Product innovation

While Darktrace chases anomalies, Vectra AI advances signal intelligence with patented AI agents to triage, stitch, and prioritize attacker behaviors for unmatched signal clarity and speed.

24x7x365 support

Darktrace customers are on their own, and the platform requires a lot of human tuning to work as advertised. With Vectra MDR, skilled analyst reinforcements can completely offload detection, investigation, and response.

COMPARE VECTRA AI TO DARKTRACE

Darktrace floods you with alerts. Vectra AI cuts through the noise

Nine in ten customers choose Vectra AI over Darktrace for focused, high-confidence detections that surface real attacks.

Darktrace
1
AI that understands attackers

Self-tuning AI with targeted models to detect attacker behaviors across the entire cyber kill chain including network, identity, and cloud into single incidents. The result is clear, prioritized detections to stop attacks fast.

Darktrace
AI that focuses on unusual

“Self-Learning AI” provides broad coverage of unusual patterns across endpoints, IoT, and cloud. But models can drift and create high volumes of noise, requiring significant analyst interpretation.


2
Visibility that closes blind spots

Identity-first visibility for either machine or human across AD, Entra ID, and SaaS detects service-account abuse, MFA bypass, and OAuth misuse.

Darktrace
Anomalies without context

Detects user behavior anomalies but provides limited identity and SaaS-specific attack detection.


3
Forensics without the friction

Enriches SIEM metadata to provide months of searchable forensic visibility with lower storage costs and faster investigations.

Darktrace
Reliance on external feeds

Relies on alert feeds and packet mirroring, and forensic depth depends on external data lakes and SIEM.


4
Unified hybrid-cloud coverage

Provides native cloud coverage for AWS, Azure, Google Cloud Platform, and M365 SaaS enriched with identity correlation.

Darktrace
Cloud confusion

Anomaly-driven detections for AWS, Azure, and SaaS create excessive alert noise and complex workflows that delay response and increase risk in fast-moving cloud environments.


5
Fast, clear investigations

Automatically correlates detections for accelerated triage and 5-minute threat hunts.

Darktrace
Manual hunting required

Deeper investigations depend on analyst interpretation and cross-correlation in SIEM.


6
SOC efficiency

Delivers actionable, prioritized incidents mapped to MITRE ATT&CK techniques, improving SOC efficiency 40%.

Darktrace
SOC overwhelm

“Immune System” AI can overwhelm SOCs with non-prioritized anomalies.

CUSTOMERS

91% of customers who consider both Vectra AI and Darktrace choose Vectra AI

2,000+ security teams rely on Vectra AI to see and stop attacks others can’t.

Find out why

“Previously, we used Darktrace. There were so many false positives coming through, we found that we were neglecting it and not investigating the alerts. Vectra AI has helped me get my time back.”

Tony Whelton
Director IT, Wellington College
Read More

“It was eye opening to hear that the problem was an order of magnitude larger than we thought it was. Vectra AI’s solution and expertise has helped us uncover and review hundreds of settings that we never would have known about.”

Adam Fletcher
CSO, Blackstone
Read More

“Vectra AI is one of those rare products that works the way it’s supposed to. The technology and science behind Vectra AI complement each other in one incredible solution that ensures your investment is well spent.”

Senior Security Engineer
Major University Healthcare System
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Featured Report

Vectra AI Signal vs. Darktrace AI Noise

See how Vectra AI stacks up against Darktrace in real-world threat detection and response.

Attack Exposure Gap Analysis: Where Attackers Expose Beyond EDR and Firewall Controls
BETTER COVERAGE, CLARITY AND CONTROL

See how else Vectra AI beats Darktrace

Vectra AIDarktrace
NetworkLimited
Public Cloud
Identity
SaaS
Endpoint

Attack coverage

Only Vectra AI provides complete visibility for the entire hybrid cloud attack surface by breaking down silos between data sources. It scales to 300,000 users and includes bidirectional endpoint integrations to optimize existing investments in EDR.

Vectra AIDarktrace
Prioritize what is urgentLimited
Triage what is irrelevant
Detect attacker behavior
Managed extended detection with full-time analysts

Signal Clarity

Only Vectra AI delivers AI-driven Attack Signal Intelligence and MXDR to alleviate security team analysts of the burden of tuning detections, and triaging and prioritizing events.

Vectra AIDarktrace
Integrated Investigation with threat contextLimited
Native Targeted Response / ContainmentLimited
Integrated Targeted Response / ContainmentLimited
Extended managed response / Containment services

Intelligent Control

Only Vectra AI-enabled Operations provides the intelligent controls and flexibility security team analysts need to investigate and stop attacks at any stage of attack progression.

Frequently Asked Questions

How does Vectra AI differ from Darktrace?

How does Vectra AI recognize and prioritize real threats?

How does Vectra AI improve SOC efficiency?

How does Vectra AI help with compliance and audit readiness?

How does Vectra AI protect hybrid and OT environments?

What makes the Vectra AI Platform different from other NDR vendors?

What support does Vectra AI offer outside the U.S.?

See for yourself why Vectra AI beats Darktrace

Let us show you how you can find and stop attacks fast, across your entire network.

2024 Gartner® Peer Insights Voice of the Customer for Network Detection and Response, By Peer contributors, August 2024

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