Resource Center

Darktrace isn’t just guilty of bloated sales and marketing — it also fails to deliver on POC promises. Read the Darktrace vs Vectra brief to learn why.

A playbook for defending Critical National Infrastructure (CNI) from cyberattacks and increasing SOC productivity by >2X.

Recommendations for users of the Vectra AI platform to identify and manage the expected increase in behavioral detections related to certain remote worker conditions.

As evidenced by unprecedented cybercrime, traditional security defenses have lost their effectiveness. Threats are stealthy, acting over long periods of time, secreted within encrypted traffic or hidden in tunnels. With these increasingly sophisticated threats, security teams need quick threat visibility across their environments.

Why create and maintain your own detection rules when AI can do it for you?

Explore cloud security challenges with this infographic on securing IaaS and PaaS environments using Vectra AI’s unified network detection and response platform.

With the increasing number of cyber threats your SOC team faces, ask yourself one question: can we keep pace by relying exclusively on our SIEM to detect and respond to attacks?

A Cloud Detection and Response Strategy for AWS

With nearly half of current infrastructure-as-a-service (IaaS) users running production applications on a public cloud infrastructure, organizations will increasingly look to capture the favorable business models, dynamic scaling, availability, and streamlined management that public clouds deliver.

Thanks to their open, collaborative environments and a treasure trove of high-value assets, universities and colleges have become a top target of data breaches and cyber attacks.

The healthcare industry today is one of the top targets of cyber attackers. This has been driven in large part by the digitization of healthcare delivery - IoT devices such as x-ray and MRI machines, drug infusion pumps, blood gas analyzers, medication dispensers and anesthesia machines - as well as medical information.

NIS2 expands security obligations across the EU. Understand scope, controls, and how to prepare.

NDR goal: Empower security analysts to receive alerts quickly and be able to discern what is critical versus what is benign. It also focuses on lowering the time from compromise to incident detection and containment.

Intrusion detection systems (IDS) like Cisco Firepower (formerly Sourcefire), Trend Micro Deep Discovery, and McAfee Network Threat Behavior Analysis are all traditional technologies with deep roots in signature-based detection and protection.

When a cyberattack occurs, most aspects of the threat are not under the control of a targeted organization. These range from who is targeting them, what is the motivation, where and when the attack occurs, how well-equipped and skilled that attacker might be, and most critically, the persistence of the attacker to achieve the ultimate goal.

When done well, AI can arm your security team with more efficient and effective threat detection, however, not all AI is created equal.

Stolen IP represents a significant subsidy since the thieves don’t have to bear the costs of developing or licensing that technology or manufacturing process.

Intellectual property (IP) is the lifeblood of pharmaceutical companies. An analysis of the top 10 drug firms indicates that average R&D spend is over 20% of revenue and intangible assets.

Manufacturers have long used industrial control systems to increase the speed and efficiency of production. But these production control systems were largely kept separate from the administrative and enterprise systems.

Attackers are finding it more profitable to go straight for the money using sophisticated advanced persistent threats (APT), such as Carbanak, as well as ransomware.

Energy companies are increasingly vulnerable to cyberthreats.

When it comes to stopping high-speed hybrid attackers, integrated signal at speed and scale is the only answer.

Enforcement, as it relates to cyberattacks, are responses to attacker actions to bring an enterprise back in line with its stated security policy. Common examples of enforcement are blocking traffic to a specific IP, quarantining a device by restricting network access, reformatting a machine, or locking down account access.

The cybersecurity gap is the time between attackers bypassing defenses and organizations discovering stolen or damaged assets.

The shift to cloud-native architectures, driven by the need for speed and agility in today's digital business landscape, has resulted in developers taking on security responsibilities, increasing the risk of introducing security issues alongside enhanced efficiency.

To meet the protections of Controlled Unclassified Information (CUI) and Covered Defense Information (CDI), federal contractors of all categories are now required to meet CMMC in order to participate in new contract pursuits, extensions, or modifications.

Vectra Match for NDR consolidates behavior-based and signature-based detection correlation

2,000+ SOC analysts reveal what breaks detection today. Benchmark your program against real-world data.

“Our engineers started using Vectra within 12 hours of it being turned on. No one else…could remotely approach the speed of deployment."

Comprehensive Threat Detection and Response for Unmatched Security

See how Wellington College keeps the most urgent cybersecurity threats at bay with Vectra AI's detection and response platform. Download the full case study.

Consolidate and streamline processes to deliver effective and efficient security operations.

Learn how Vectra Match supports Federal cyber operators and policy makers.

Consolidate and streamline processes to deliver effective and efficient security operations with Vectra AI and ServiceNow.

Consolidate your security footprint with network detections and signature-based IOCs in one single sensor

Stop Network Exploits with Vectra NDR and Vectra Match

Digital transformation in business operations is driven by numerous technological initiatives, including in OT (operational technology) environments. With these innovations come many changes that present new challenges.

Our solution brief highlights how the combined expertise of Dell and Vectra can help address these challenges by delivering best-of-breed business continuity and cybersecurity solutions.

With cyberattacks on the rise, tribal communities are shifting their focus to address their security vulnerabilities but are unsure where to start.

Delivering integrated, best-of-breed cyber defense solutions powered by AI

Organizations using IDPS can’t easily discern unknown active threats and stop sophisticated attacks already inside.

Raise your SOC efficiency by 85% and SecOps productivity by >2X.

Vectra Security AI-driven Attack Signal Intelligence™ sources comprehensive and relevant logged data from Azure AD, M365 and AWS to detect malicious events and enrich findings so analysts can make informed security decisions.

Explore capabilities that help defend against operational technology attacks.

Vectra has a proven history within the IC, DoD and CIV sectors along with the DIB to help the process move smoothly.

Vectra AI-driven Attack Signal Intelligence™ exposes the complete narrative of an attack, providing your analysts with a level of signal clarity that helps your SOC team focus on the critical and most urgent threats.

Vectra erases unknown threats across your supply chain. Learn how you can get ahead and stay ahead of modern attacks.

Attacks move across Exchange, Teams, and SharePoint. Learn how to stop threats aimed at Microsoft 365 applications and data.

At the request of a federal agency, Vectra was asked to prove the capability and promise of AI to stop a real world cyberattack scenario.

Learn how to stop ransomware attacks before they become breaches. Protect your hybrid network with Vectra AI’s advanced threat detection and response platform.

Learn how Vectra gives you coverage across all major hybrid cloud attack surfaces.

With Vectra Security AI-driven Attack Signal Intelligence™, customers gain advanced investigations for AWS environments with less complexity and increased visibility.

Vectra CDR (Cloud Detection and Response) for AWS extends Vectra’s industry leading network threat detection and response (NDR) technology to the public cloud to strengthen your XDR.

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.

Vectra Managed Detection and Response delivers the cybersecurity skills you need to detect, investigate and respond to threats 24/7/365.

Learn why Microsoft Integrates Vectra AI with Microsoft Sentinel.

Learn why Microsoft Integrates Vectra AI with Microsoft Defender for Endpoint.

Detect, investigate and respond to attacks across your network

Vectra can be deployed in Cloud, On-Prem, and Virtual environments to satisfy customer security requirements.

Vectra Security AI-driven Attack Signal Intelligence takes a risk-based approach to cyberattacks while reducing manual tasks, alert noise and analyst burnout.

200+ network metadata fields across 17 protocols. Definitions, metadata types, and enrichment attributes for threat hunting and metadata forensics in Vectra AI.

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?

Vectra and Splunk integration enables customers to detect, triage, investigate and respond to the most critical security alerts across their entire environment from a single dashboard.

This guide is intended to help customers or partners get started with the Vectra Platform.

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

Tim Wade addresses both the hype and the opportunity at a practical altitude necessary for strategic decision-makers to feel confident about harnessing their inner skeptic to achieve better outcomes for the enterprise.

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

Attackers use native cloud tools to deny access without malware. Learn attack paths and detection strategies

Vectra Detect empowers security teams to automatically pinpoint active cyberattacks as they’re happening and quickly prevent or mitigate loss.

Cy Fenton, Chairman, National Retail Federation IT Security Council & former CISO, Ralph Lauren

Wayne Shurts, Board Director | 3x Public Company CIO | University Advisor

A sports data firm identified a Kubernetes cluster exposing EC2 instances over HTTPS, prompting adjustments to security monitoring and investigations.

Learn how Blackstone accelerated a secure Microsoft 365 migration while managing configuration drift with Vectra AI. Download the full case study today.

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

Discover how data science and AI can modernize your SOC to turn the tables on cyberattacks.

Discover how a Fortune 500 consumer goods company used Vectra AI to stop a cyberattack with prioritized attack detection across its network. Read the case study today.

In this report Gartner® offers recommendations for how NDR solutions can expand deeper into existing on-premises networks, and new cloud environments.

Learn how Vectra AI protects Tallink Grupp, a major cruise and ferry operator, against cyberattacks with continuous attack detection across its network. Read the case study.

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.

Hear from Dixon Styres, Solution Architect at CrowdStrike, about how their integration with Vectra Cognito helps provide a cohesive security solution as part of the SOC Visibility Triad.

See how the EDAG Group flipped the script on ransomware using Vectra AI's network detection and response platform. Download the full case study today.

Vectra Detect for Amazon Web Services (AWS) sees and stops attacks targeting an enterprise’s AWS footprint in real-time.

A manufacturing company saved $100,000 with Vectra AI's network detection and response platform. Download the case study to learn how they reduced costs.

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.

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.

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.

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.

Learn how MPAC secures its AWS environment with Vectra AI's network detection and response platform. Download the full cloud security case study now.

The need for speed and agility in today’s always on, always-connected digital business has led IT teams to transform the traditional on-premises infrastructure to cloud-native architectures, but often at the cost of security.

Discover how a telematics company achieved a secure and stable environment with Vectra AI's network detection and response platform. Read the full case study.

Learn how a government authority achieved complete cloud monitoring across AWS with Vectra AI's NDR platform. Download the full case study today.

Insights from network detection and response that enable financial services security operations and regulatory compliance

Profitap and Vectra have joined forces to provide enterprises with a comprehensive network visibility for real-time detection and analysis of active cyber attacks.

The integration of the Vectra AI automated threat detection and response platform with the Swimlane security orchestration, automation and response (SOAR) platform enables automated threat detection and dramatically reduces SOC workloads.

The integration of Siemplify with Vectra enables creation and continuous analysis of alerts created from Vectra threat detections, identifying and grouping related security alerts into cases.

Vectra Detect and FireEye Endpoint Security integrate two authoritative views of a cyberattack – the network and the endpoint. Giving full visibility into modern hybrid cloud enviroments and the devices and accounts involved.

Cyberthreat prevention at the network perimeter often fails silently, allowing cyberattackers to get inside without your knowledge. Learn how federal agencies solve this challenge with network detection and response (NDR).

The NDR platform from Vectra exposes covert threat behaviors in all network traffic – without requiring decryption. We enable federal agencies to detect, prioritize and respond in real time, leaving attackers with nowhere to hide

Discover the significance of seamless ecosystem integrations in the realm of threat hunting, enabling comprehensive detection and proactive defense against cyber threats.