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Darktrace vs Vectra AI
Side-by-side comparison of Darktrace and Vectra AI. See how they stack up in pricing, features, and real-world use cases.
Darktrace
by Darktrace · Cambridge, UK
AI Threat Detection
Enterprise — from Contact Sales
- Catches novel threats that rule-based and signature-based systems miss, particularly insider threats and living-off-the-land attacks
- Cyber AI Analyst automates the most time-consuming part of SOC operations — alert investigation and triage
- Agentless network-based deployment means visibility into unmanaged devices, IoT, and legacy systems
- Initial learning period generates noise that can overwhelm SOC teams already dealing with alert fatigue
- Behavioral anomalies require experienced analysts to determine whether deviations represent genuine threats or legitimate business changes
- Does not replace endpoint protection — best deployed alongside EDR solutions like CrowdStrike or SentinelOne
- 01 Detecting advanced persistent threats and zero-day exploits through behavioral anomaly detection
- 02 Automating initial incident response with Antigena's proportionate containment actions
- 03 Reducing alert fatigue by using Cyber AI Analyst to triage and correlate thousands of raw alerts
- 04 Monitoring east-west traffic for lateral movement that perimeter security tools cannot see
- 05 Extending security visibility to OT and IoT environments without deploying agents
Darktrace fills a critical gap in security architectures by detecting threats that signature-based tools cannot see. Its self-learning AI is genuinely differentiated for insider threat detection and zero-day discovery. Deploy it alongside your EDR and SIEM layers; Darktrace sees what endpoint agents and rule-based systems cannot, but it does not provide prevention or containment capabilities. Best suited for mature security teams that can invest in tuning and can tolerate an initial learning curve.
Vectra AI
by Vectra AI · San Jose, CA
Network Detection & Response
Enterprise — from Contact Sales
- Attack Signal Intelligence delivers the best alert-to-signal ratio in the NDR category, measurably reducing SOC workload
- Hybrid attack surface coverage across network, cloud, and identity fills gaps that EDR-only architectures leave exposed
- Detects attacks that operate entirely at the network level, including encrypted C2 channels and DNS tunneling
- Network sensor infrastructure (mirror ports, TAPs, or virtual sensors) adds deployment complexity compared to agentless tools
- Detection-focused platform must be paired with EDR or SOAR tools for containment and remediation
- Cloud and identity detections cover a narrower set of TTPs than Vectra's network behavioral models built over a decade of R&D
- 01 Detecting active attacker behavior — lateral movement, privilege escalation, data staging — across hybrid environments
- 02 Prioritizing security alerts using Attack Signal Intelligence to focus SOC attention on real threats
- 03 Monitoring identity infrastructure for credential abuse and Kerberos-based attacks
- 04 Extending detection coverage to cloud control plane activity across AWS, Azure, and GCP
- 05 Supplementing endpoint detection with network-level visibility for attacks that bypass or disable EDR agents
Vectra AI is the strongest network detection and response platform for organizations that need to find active attackers in their environment. Its Attack Signal Intelligence genuinely solves the alert fatigue problem that plagues traditional NDR and IDS deployments. Best deployed alongside EDR as a complementary detection layer that covers the network, identity, and cloud blind spots that endpoint agents cannot see.