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There are two ML models. Supervised ML is tuned by data science to detect specific threat behaviors. Unsupervised ML finds anomalies. NDR platform from Vectra combines both.

Vectra delivers this when and where it’s needed so that federal agencies spend less time chasing alerts and more time stopping threats.

As U.S. SecOps teams consider mapping to the SOC visibility triad, it’s vital to know the role each part of the triad plays in stopping cyberattacks. Learn how the Vectra AI NDR platform aligns you with the SOC visibility triad.

Federal agencies can stop the progression of covert attacks inside the network by speeding-up the time to detect and reducing the dwell time of hidden adversaries. Learn how federal agencies can achieve SOC efficiency globally and at scale.

Explore the integration of Vectra AI with Zscaler Zero Trust Exchange for comprehensive end-to-end access protection. This solution brief highlights how the collaboration enhances real-time attack identification and response, catering to the needs of remote workforces.

Vectra Detect for Azure AD and M365 lets you see and stop threats to your SaaS apps, Azure AD backend, and M365 data.

Defenders have to be right all the time, where attackers only have to get it right once. Hear from Brian Varine, Associate Director at Guidehouse and federal SOC expert, why IDS provides false alarms and is not sophisticated for the modern attacker. Learn how modern NDR approaches, like Vectra, help organizations understand what is going on within the network, including the cloud, and analyze the data to protect against attackers.

Brian Varine, Associate Director at Guidehouse and former Chief of the Justice Security Operations Center (JSOC) discusses how Zero Trust frameworks in collaboration with NDR gives organizations full visibility into their networks. Learn why AI and ML components of NDR tools allow security analysts to be more precise when threat hunting – decreasing the amount of dwell time and increasing overall SOC efficiency.

Identifying behavior is critical for detecting and stopping threats before they cause damage. Vectra help Federal Agencies hunt down attacker behaviors and shuts them down, stopping breaches at speed and scale.

See how mLeasing uses the Vectra AI platform to detect and respond to modern cyberattacks across their network infrastructure. Download the full case study.

See how Nissho Electronics stops data breaches from enterprise to cloud with Vectra AI's network detection and response platform. Download the full case study.

This integration allows security teams to cover the network, endpoints, and the cloud for full visibility and coverage across workloads.

Learn how Sanofi, a global pharmaceutical company, stopped a cyberattack with Vectra AI's network detection and response platform. Read the full case study.

Discover how Vectra AI stops data breaches across Rossmann, one of Europe's largest drug store chains. Download the full customer case study today.

Learn how Fenaco, a major consumer goods producer, relies on Vectra AI in the SOC for prioritized threat detection and response across its network. Download the case study now.

Information security professionals would agree that it’s important to ensure that end users are empowered to do their job as efficiently and securely as possible.

Vectra uniquely protects hybrid, on-premise, and cloud with learning behavioral models that understand hosts, services, applications, and identities – tracking and stopping attackers earlier in the kill chain.

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.

Learn how GMMH NHS Foundation Trust stops identity attacks with Vectra AI to protect UK healthcare infrastructure. Download the full case study today.

See how a global financial services firm stops cyberattacks with Vectra AI's NDR platform, closing gaps left by EDR and SIEM. Read the full case study.

Successful threat hunting is driven by AI and requires access to the right data about in-progress attacks at the right time. This allows security analysts in federal agencies to hunt intrepidly with greater success, speed, and with far less effort.

By focusing on observed privilege inside the network – knowing when it is used and knowing when it is misused – federal agencies can identify attacker behaviors such as lateral movement as well as malicious behaviors by nefarious insiders.

Autonomous security involves reasoning with complexity and influencing what occurs on the network. Vectra enables federal agencies to achieve this by combining AI, data science, ML and a vast ecosystem of third-party integrations.

CNI organizations must be ready and able to defend against a wide range of threats that attempt to steal from, disrupt, damage, or deny their operations.

Learn how American University replaced open source tools with Vectra AI's network detection and response to improve threat visibility. Read the case study.

Together, Vectra® and Fortinet deliver greater infrastructure visibility by combining AI-driven NDR – including privilege and identity aware analytics – with next-generation firewall capabilities and instant remediation.

Together, the Vectra AI platform and the cPacket Networks visibility solution swiftly identify and mitigate cyberattacks across cloud, data center, IoT, and enterprise networks.

See how a financial services leader detects hybrid attacks in real time and augments its cyber kill chain with Vectra AI. Read the case study.

Jane Lute, President & CEO for the Council on CyberSecurity and former Deputy Security for the Department of Homeland Security, discusses cybersecurity and what organizations need to do to protect themselves.

Vectra’s Technical Support organization offers its customers a combination of outstanding customer support and best-in-class technical ability and engineering agility.

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

Security teams fulfill the vision of the SOC Visibility Triad with native integrations between the Vectra AI platform, Microsoft Defender for Endpoint and Azure Sentinel.

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

Does privileged access equal trusted access?

Vectra Integrates with SentinelOne®, Providing Best of Breed Ecosystem Security

Vectra AI and Cybereason Defense Platform and its complete endpoint protection offering have partnered to help security teams combine network and endpoint data for full visibility and accelerated response to cyberattacks.

Vectra and Palo Alto Networks: Stopping threats with network-based behavioral analytics

Vectra Detect for networks is the first solution that delivers intelligent threat detection and response on Amazon Web Services by focusing on the network traffic between workloads.

Discover how Vectra AI's integration with Chronicle transforms cybersecurity investigations, offering AI-enhanced context and accelerated response to threats. This solution brief details the synergy between Vectra's detection algorithms and Chronicle's capabilities.

Integration of the Vectra automated threat detection and response platform with Check Point Next Generation Firewalls empowers security staff to quickly expose hidden attacker behaviors, pinpoint specific hosts involved in a cyberattack, and contain threats before data is lost.

The integration of the Vectra AI platform with the Forescout device visibility and control platform provides inside-the-network threat detection and response, a critical layer of defense in today’s security infrastructure.

Learn how Under Armour responds to active attacks fast with Vectra AI's network detection and response platform. Download the full customer case study today.

The initial point of contact during a cyberattack is rarely the intended target. Attackers usually gain access to networks from a less secure workstation or IoT asset and work their way from there by gaining access to higher privileged hosts and accounts.

PCI DSS 4.0 requires continuous monitoring of cardholder environments. Understand key requirements and how to close detection gaps

What are the top 3 reasons why NDR Is well suited for detecting MITRE ATT&CK TTPs

Part 500 of Title 23 of the Official Compilation of Codes, Rules and Regulations establish cybersecurity requirements for financial services companies operating in the state of New York.

GDPR requires active security controls under Articles 32 and 33. Learn how Vectra AI delivers the monitoring and evidence needed for continuous compliance

To combat the increasing volume and sophistication of cyberthreats, the FFIEC and NIST developed the Cybersecurity Assessment Tool to help institutions identify risk and determine their cybersecurity preparedness.

To protect Covered Defense Information (CDI) comes DFARS 252.204-7012 and rules pertaining to “Safeguarding Covered Defense Information and Cyber Incident Reporting.”

Vectra AI continuously monitors and analyzes all network traffic to detect cyber attacks in progress as criminals attempt to steal enterprise data or cause harm to the organization.

This overview describes how the Vectra platform, in combination with existing security technologies, supports the Continuous Diagnostics and Mitigation (CDM) Program and enables agencies to achieve their security objectives.

The U.S. government recognizes that the national and economic security of the country depends on the reliable function of critical infrastructure.

Nozomi Networks and the Vectra network-detection and response platform eliminate blind spots that allow attackers to hide in IT and OT network traffic.

Preventing a compromise is increasingly difficult but detecting the behaviors that occur – from command and control to data exfiltration – is not.

See how packaging manufacturer Ardagh Group finds and stops hidden attackers with Vectra AI's network detection and response platform. Download the case study.

Vectra Stream delivers continuous network metadata to your SIEM or data lake for threat hunting and compliance investigations.

See how DZ Bank enables robust cybersecurity protection without violating privacy using Vectra AI's network detection and response. Read the full case study.

Through its interoperability with the VMware vSphere hypervisor, vCenter management console and NSX Network Virtualization and Security Platform, the Vectra platform addresses critical vulnerabilities at every layer of the virtualized data center and exposes cyber attacks against applications, data, virtualization layers and the underlying physical infrastructure.

The Micro Focus ArcSight Resource Package from Vectra provides bidirectional integration that ensures ArcSight users receive precorrelated threat detections that enable them to pinpoint and mitigate active intrusions.

The Keysight Network Visibility Architecture and Vectra AI Platform work together to eliminate network blind spots that allow attackers to hide.

The integration brings Vectra real-time, precorrelated threat detections and host scores into the QRadar platform and automatically maps Vectra events to the appropriate QRadar categories.

Unveil the power of Vectra AI's integration with Demisto. Learn how the Vectra Active Enforcement application aids security teams in exposing hidden cyber attacks and safeguarding digital assets through effective threat detection and response.

The Vectra and Juniper joint solution adds a new class of advanced persistent threat (APT) defense, delivering real-time detection and analysis of active cyber attacks so that they can be stopped in their tracks.

Detect and Mitigate Cyberattacks with Vectra AI and CrowdStrike

Learn how The Very Group minimizes business risk with Vectra AI's network detection and response platform for enhanced security visibility. Read the case study.

Discover how Hydro Ottawa reduced time spent on threat investigations with Vectra AI's detection and response platform. Download the full case study now.