Explore the key insights from Gartner's latest MDR report, highlighting why exposure management and identity protection are critical to your security strategy.
Vectra AIと最新市場の動きをご紹介しています。
5 emerging attacker methods show why defenders need a plan to prioritize post compromise attacker methods.
NDRの進化とVectra AIについてマンガを通してご紹介しています
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 Siemplify with Vectra enables creation and continuous analysis of alerts created from Vectra threat detections, identifying and grouping related security alerts into cases.
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.
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.
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.
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.
Vectra delivers this when and where it’s needed so that federal agencies spend less time chasing alerts and more time stopping threats.
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.
Discover the significance of seamless ecosystem integrations in the realm of threat hunting, enabling comprehensive detection and proactive defense against cyber threats.
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
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).
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.
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.
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.
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.
This integration allows security teams to cover the network, endpoints, and the cloud for full visibility and coverage across workloads.
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.
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.
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.
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.
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.
Vectra Recall is a cloud service, provided by Vectra, which stores network metadata in support of security investigation and threat hunting. This document gives an overview of how Vectra develops, tests and secures Vectra Recall.
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.
Together, the Vectra AI platform and the cPacket Networks visibility solution swiftly identify and mitigate cyberattacks across cloud, data center, IoT, and enterprise networks.
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.
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.
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.
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.
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.
The U.S. government recognizes that the national and economic security of the country depends on the reliable function of critical infrastructure.
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.
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.
To protect Covered Defense Information (CDI) comes DFARS 252.204-7012 and rules pertaining to “Safeguarding Covered Defense Information and Cyber Incident Reporting.”
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.
The Vectra platform augments cybersecurity teams and provides key technical capabilities needed to comply with the GDPR.
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.
What are the top 3 reasons why NDR Is well suited for detecting MITRE ATT&CK TTPs
Vectra AI detects and stops in-progress cyberattacks as criminals attempt to steal payment card data, personally identifiable information, and other in-scope assets.
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.
Vectra Stream delivers scalable, security-enriched metadata from native cloud, hybrid cloud and enterprise traffic that empowers skilled security analysts and threat hunters to perform conclusive incident investigations.
Detect and Mitigate Cyberattacks with Vectra AI and CrowdStrike
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.
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 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.
The Keysight Network Visibility Architecture and Vectra AI Platform work together to eliminate network blind spots that allow attackers to hide.
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.
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.
A cornerstone of the Vectra® cyberattack-detection and threat-hunting platform, Vectra Recall provides the most efficient way to perform AI-assisted threat hunting in cloud and data center workloads and user and IoT devices.
Effectively detect, investigate, and respond to risks in the cloud with complete visibility and the power of AI.
侵害を防ぐことは以前にも増して難しくなっていますが、コマンド&コントロールからデータ流出まで、その攻撃が発生した際の振る舞いを検知することは可能です。
セキュリティ調査およびインシデント対応にかかる費用
Double detections of unknown attacks with Vectra AI. See how our SOC customers spend 90% less time on successful investigations while saving $300K+.
Vectra AI-driven Attack Signal Intelligence empowers SOC teams to focus on the most urgent hybrid cloud threats.
Vectra Match for NDR consolidates behavior-based and signature-based detection correlation
The Vectra AI Platform provides hybrid attack surface visibility across identity, public cloud, SaaS, data center networks and endpoints via XDR integration.
Vectra Managed Detection and Response delivers the cybersecurity skills you need to detect, investigate and respond to threats 24/7/365.
In this report, you’ll discover how an attempted ransomware attack on a manufacturing organization was detected and stopped before any damage occurred.
Discover how data science and AI can modernize your SOC to turn the tables on cyberattacks.