2024 Gartner® Market Guide for Network Detection and Response (NDR)

A gap analysis to help organizations understand their threat exposure even with endpoint controls in place, and what actions can be taken to address the risks.

Protect tactics are not enough for combatting hybrid cloud attacks

The need to reduce cyber risk has never been greater — is your organization prepared? Get the latest insights in this TAG special report, courtesy of Vectra AI.

80% of analysts admit the organization they work in may have been compromised and they don't know it yet. Threat detection is fundamentally broken.

The threat landscape is changing dramatically — is your SOC team prepared? With AI-driven extended detection and response (XDR), you can be.

Use these Gartner guidelines, courtesy of Vectra AI, to evaluate your SOC and learn which hybrid SOC models are being widely adopted today.

See insights from 2,000+ SOC analysts on the current threat detection landscape.

This survey, the State of Cloud Security in the Enterprise, was designed to look at the impact of the shift to cloud on an enterprise’s attack surface and the security team’s ability to secure this vast new world.

When it comes to attack coverage, signal clarity and operational control over modern, evasive and sophisticated attacks, how big of a role does Network Detection and Response play?

Ransomware is a formidable threat that has changed the way many organizations do business and security teams do battle.

In this report, you’ll discover how an attempted ransomware attack on a manufacturing organization was detected and stopped before any damage occurred.

Breaking Point: Is mounting pressure creating a ticking time bomb for a health crisis in cybersecurity?

The number and sophistication of cyber-threats has precipitously increased in 2021, driven by remote workers, software supply chain attacks, and ransomware.

See how hybrid and multi-cloud enterprises are tackling complex, modern cyber threats.

As the cloud continues to change everything we know about security, the right data along with meaningful AI can help bring clarity to the cloud.

While it might seem like quite a chore for an already swamped IT staff to sort out how to defend their new cloud assets— AI can make all the difference.

Ransomware attacks that carry through in a healthcare system can mean stolen medical records and data but can also be physically disruptive when they cause delays in patient care.

Manufacturing continues to increase cloud usage for speed and scale, which adds a layer on top of the attack surface to the already dispersed operational technology infrastructure.

The Vectra AI detection models provide real-time early warning and continuous visibility across the attack progression from on-premise to cloud without any dependency on IoCs, signatures, or other model updates.

This post-incident report shows step by step how the Vectra platform identified early indicators of a ransomware attack and prevented the encryption of network file shares.

Analysis of security in the healthcare industry from January-May 2020

Does privileged access equal trusted access?

The Vectra® Attacker Behavior Industry Report provides a first-hand analysis of active and persistent attacker behaviors inside the enterprise networks of Vectra customers.