- We’ll be at RSA Conference 2026, Moscone Center, San Francisco | 23rd - 26th March, 2026 | N-6473
Vehere is a security first company built from the ground-up with threat detection, investigation and real time response as its foundation. Security isn’t an add-on. Instead, it’s at the core of every product decision and capability.
In contrast, Vectra AI originated as a SIEM overlay company in 2011, designed to provide IoCs across the network. While it has marketed itself in the XDR space over time, there remains ambiguity around its prime focus whether it is positioned as an XDR, an NDR or a potential SIEM replacement.
Vehere NDR delivers lossless full-packet capture across E-W and N-S traffic, enabling full-session reconstruction and deep forensic investigation without blind-spots.
Vectra AI ingests packet metadata only and requires third-party solutions such as Endace or cPacket for full PCAP access, limiting investigation depth.
Vehere NDR supports advanced analytics, full session reconstruction and retrospective analysis at no extra cost.
Vectra AI does not provide full session reconstruction due to its metadata-only approach; its retrospective ability (Recall) is charged separately. Additionally, Vectra Recall is a cloud native SaaS component that depends on continuous internet connectivity and Vectra’s cloud availability.
Vehere NDR provides native, on-demand file analysis, enabling safe detonation and inspection of suspicious files in a safe environment.
Vectra AI does not support file execution or detonation.
Vehere NDR includes a native IDS combining behavior, static and dynamic analysis and can provide a comprehensive breakdown of extracted file contents.
Vectra AI relies on a paid add-on, ‘Vectra Match’ which uses open source Suricata rules, an approach that limits the scalability and depth.
Vehere NDR offers built-in PII hashing and masking, with customizable privacy rules, while ensuring that 100% of customer data remains sovereign and on-premises.
Vectra AI claims PII masking is unnecessary because it does not decrypt traffic. However, leaving usernames un-hashed and IPs unmasked can introduce significant security risks. Additionally, Vectra Recall stores data in Vectra managed public cloud infrastructure (AWS), raising data sovereignty concerns, particularly for regulated environments.
Vectra Recall resides in Vectra-managed public infrastructure, raising data sovereignty and compliance concerns.
Vehere’s AI amplifies human detection to expertise, detecting hidden threats, connecting signals, and accelerating response across massive, complex environments
Vehere NDR delivers full-packet visibility, built-in forensics, native on-demand file analysis, full-session reconstruction, and support for over 500,000 hosts. Its on-prem deployment model, behavioral analytics on encrypted traffic, flexible querying, PII masking, and support for 5000+ protocols provide unmatched investigative depth and control.
Vectra AI relies on selective packet capture, add-on IDS, add-on forensics, third-party PCAP solutions, lacks sandboxing and PII masking, supports fewer IoCs and routes historical data to the cloud for Recall, introducing visibility and sovereignty limitations.
Vehere NDR delivers true full-packet visibility with built-in forensics, while Vectra AI’s selective packet capture and add-on forensics limit investigation depth.
Vehere NDR offers built-in session reconstruction, packet replay, and PCAP analysis at no additional cost, allowing investigators to pivot seamlessly from alerts to evidence. Vectra AI’s historical analysis relies on a separate, chargeable component and remains limited to metadata.
Vehere NDR supports on-prem deployment with built-in PII masking and hashing, giving customers full control over sensitive data. Vectra AI stores recall data in cloud-managed infrastructure and does not provide native PII masking, which may raise data sovereignty concerns for regulated environments.
Vehere NDR can support up to 500,000 concurrent IPs at no additional charge. Vectra AI offers lower concurrent IP scale- 300,000 and has IP based licensing.
