Vectra AI - Detailed Review
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Vectra AI - Product Overview
Introduction to Vectra AI
Vectra AI is a leading provider of AI-driven security solutions, specifically focused on extended detection and response (XDR). Here’s a brief overview of its primary function, target audience, and key features:Primary Function
Vectra AI’s primary function is to detect and respond to cyber threats in real-time. The platform uses artificial intelligence (AI) and machine learning to identify unknown and known threats across various environments, including network, identity, public cloud, SaaS, and GenAI. It aims to reduce exposure and speed up detection to stop attacks that other systems might miss.Target Audience
Vectra AI primarily targets medium to large enterprises that handle sensitive data and are at high risk of cyber attacks. The typical customers include IT security professionals, Chief Information Security Officers (CISOs), and network administrators responsible for protecting their organization’s digital assets. These organizations often operate in sectors such as healthcare, finance, and government, where data security is paramount.Key Features
Real-Time Threat Detection
Vectra AI continuously monitors network traffic and behavior patterns to detect suspicious activities in real-time. This allows organizations to respond quickly to potential threats and mitigate risks effectively.AI-Driven Detection
The platform uses AI algorithms to analyze network traffic, user behavior, and security logs to identify potential threats and anomalies. It can detect both known and unknown threats, providing comprehensive protection against cyber attacks.Event Triage and Prioritization
Vectra AI automates event triage, parsing benign detections to reduce alert noise and increase signal fidelity. It prioritizes incidents based on attacker profiles and the importance of the hosts and accounts being targeted, reducing alerts from thousands to single digits per day.Instant Investigations
The platform provides instant investigations by automatically collating detections across the cyber kill chain to contextualize the breakdown of attack progression. This helps security analysts to quickly understand the full extent of an attack and take necessary remediation actions.Integration and Scalability
Vectra AI integrates with over 40 leading security technologies for integrated investigations across the entire attack surface. The platform is scalable and can handle massive amounts of data, making it suitable for large international enterprises.Managed Detection and Response (MDR)
Vectra AI offers MDR services that provide global 24x7x365 coverage, supplementing in-house Security Operations Center (SOC) talent and resources. This ensures continuous monitoring and response to cyber threats. By leveraging these features, Vectra AI helps organizations stay ahead of cyber threats, ensuring their sensitive data and networks remain secure. Vectra AI - User Interface and Experience
User Interface Overview
The user interface of Vectra AI is crafted with a strong focus on user-centric design, ease of use, and enhancing the overall user experience for cybersecurity professionals.User-Centric Approach and Urgency Score
Vectra AI has introduced the Urgency Score, a metric that combines the platform’s advanced Attack Rating with user-defined Entity Importance. This score is designed to be clear and weighted correctly across different attack surfaces, allowing users to prioritize threats more effectively. The Urgency Score breaks down into individual components, making it easier for analysts to comprehend and respond to threats accordingly.Streamlined Workflow
The platform features a redesigned workflow with the Respond and Hunt pages. The Respond page acts as a to-do list for Security Operations Center (SOC) analysts, displaying entities with significant Urgency Scores that require immediate attention. This prioritized list helps analysts stay focused on the most critical tasks. The Hunt page, on the other hand, is an AI-powered tool for proactive threat hunting, providing a comprehensive view of all entities in the environment, even those that do not trigger alerts.Enhanced User Interface Performance
Vectra AI has made significant improvements to the user interface to ensure faster and more responsive interactions. The platform now includes features like a “skeleton screen” to improve the perception of page load performance, enhanced API request and backend operations, and optimized page load times. These changes have substantially improved user satisfaction and engagement, particularly in handling large volumes of data and complex user interactions.Intuitive and Interactive Pages
The platform’s user interface is intuitive and easy to use. For example, the Global View in the Respond UX allows analysts to filter through a list of prioritized entities, perform initial investigations, and connect to child instances for more detailed analysis. The interface also includes features like analyst authentication and global analyst permissions, ensuring a seamless and secure experience.Analyst Experience
The analyst experience within the Vectra AI platform is streamlined to facilitate efficient threat detection and response. The platform provides AI-driven behavioral analysis, clear urgency scoring, and advanced investigation options. Analysts can quickly investigate threats and respond to them using the platform’s automated response framework.Efficiency and Responsiveness
Vectra AI has addressed user feedback regarding page load times and delays. The platform now offers faster load times, enhanced efficiency in user login experiences, and improved performance in core workflows. These improvements ensure that users do not experience significant delays, which can be stressful and impact productivity.Conclusion
Overall, the user interface of Vectra AI is designed to be user-friendly, responsive, and highly effective in helping cybersecurity professionals manage and respond to threats efficiently. The platform’s focus on user feedback and continuous improvement ensures a positive and engaging user experience. Vectra AI - Key Features and Functionality
AI-Driven Threat Detection and Response
Vectra AI’s product category focuses on enhancing security operations through several key features and functionalities. Here are the main features and how they work:Enhanced Visibility
Vectra AI provides advanced network detection and response capabilities by integrating with existing security tools. This integration offers additional visibility into network traffic, user behavior, and potential threats that might go undetected by other tools. This comprehensive visibility helps identify hidden threats and improves the overall security posture of the organization.Threat Detection and Response
Vectra AI’s platform employs AI and machine learning algorithms to analyze network behaviors and identify suspicious activities indicative of cyber threats. By integrating with existing tools, such as EDRs and SIEMs, Vectra AI augments threat detection capabilities, providing more accurate and timely alerts. This allows security teams to respond quickly and effectively to potential threats.Correlation and Contextualization
Vectra AI enriches security events by correlating data from multiple sources and providing context around potential threats. This correlation and contextualization enable security teams to gain a holistic view of threats across the infrastructure, allowing for more accurate and informed responses.Reduced Alert Fatigue
Integrating Vectra AI with existing tools helps reduce alert fatigue by filtering out noise and false positives. The platform prioritizes alerts, allowing security teams to focus on the most critical threats and minimize response time. This reduces the burden on security analysts and ensures they can concentrate on real attacks.Automation and Orchestration
Vectra AI’s integration capabilities enable the automation and orchestration of security processes. By integrating with tools like SOAR and ITSM, you can streamline incident response workflows, automate remediation actions, and improve overall operational efficiency. This automation ensures that responses are swift and consistent.Comprehensive Threat Intelligence
Vectra AI leverages a global threat intelligence network, continuously updating its knowledge base with the latest threat indicators and attack techniques. Combining this with existing tools provides a broader and more comprehensive threat intelligence perspective, enabling proactive defense against emerging threats.Integration Across Security Stack
Vectra AI integrates seamlessly with a wide range of security technologies, including cloud services, packet brokers, virtualization, endpoint solutions, SIEM, SOAR, ITSM, and firewalls. This integration allows for a unified XDR strategy, enabling the detection and disarmament of attacks across the entire security technology stack.Real-Time Data Ingestion and Analysis
The Vectra AI Platform collects and analyzes vast amounts of data in real-time, monitoring millions of IPs daily, processing billions of sessions per hour, and handling trillions of bits per second. This real-time data ingestion engine provides instant behavioral-based detection, even in encrypted traffic, without the need for manual rule creation and tuning.AI-Driven Event Triage and Prioritization
Vectra AI’s AI Triage automatically parses benign detections to reduce alert noise and increase signal fidelity. The AI Prioritization feature accounts for attacker profiles and the importance of hosts and accounts being targeted, reducing alerts from thousands to single digits per day. This ensures security teams focus on the most critical threats.Instant Investigations
The platform’s Instant Investigations feature automatically collates detections across the cyber kill chain to contextualize the breakdown of attack progression. This provides security analysts with the context they need to investigate and respond to threats quickly and effectively.Scalability and Flexibility
Vectra AI’s open architecture connects to over 40 leading security technologies, allowing for integrated investigations across the entire attack surface. The platform supports various integration methods, including standard Syslog and API, making it flexible and scalable for different security environments. By integrating these features, Vectra AI provides a comprehensive and proactive approach to threat detection and response, enhancing the efficiency and effectiveness of security operations. Vectra AI - Performance and Accuracy
Performance
Vectra AI is praised for its ability to reduce alert noise significantly, with its Attack Signal Intelligence™ capable of reducing false alerts by 80% or more. This allows security teams to focus on real threats rather than sifting through numerous false positives. The platform is highly scalable, capable of monitoring hundreds of thousands of users worldwide from a single device without compromising performance. It processes vast amounts of data, including 13.3 million IPs daily, 10 billion sessions per hour, and 9.4 trillion bits per second. Vectra AI integrates well with existing security tools, such as SIEM systems (e.g., Microsoft Sentinel, Splunk), SOAR platforms, and endpoint detection and response tools (e.g., Crowdstrike Falcon, Microsoft Defender). This integration helps refine investigative workflows and lower maintenance costs.Accuracy
The accuracy of Vectra AI is enhanced by its advanced AI and machine learning models, which proactively identify attacker behaviors even in encrypted traffic. This approach eliminates the need for manual rule creation and tuning, reducing latency and improving detection accuracy. Vectra AI’s third-generation cloud-native streaming platform provides comprehensive coverage across network, identity, public cloud, SaaS, and GenAI environments, ensuring that unknown threats are identified in real time. However, some users have noted areas where accuracy and performance could be improved. For instance, there is a need for more granular control over detection rules and policies, as well as enhancements in the accuracy and performance of the algorithms at the sensor level.Limitations and Areas for Improvement
Several limitations and areas for improvement have been identified by users:Algorithm Enhancements
Users suggest improving the accuracy and performance of the algorithms, particularly at the sensor level, to reduce bandwidth usage and manual intervention.Integration and Automation
While Vectra AI integrates well with various tools, some integrations require manual setup rather than being out-of-the-box solutions. Automation of threat intervention and more flexible integration options are desired.User Interface and Reporting
The user interface and reporting features need improvement. Users have reported issues with the UI/UX, the lack of detailed reporting, and the need for smoother transitions during software upgrades to avoid increased noise.On-Premises Solutions
Some users prefer on-premises solutions over the full cloud model, particularly for certain features like recall and storage.Customization and Transparency
There is a desire for more transparency and interpretability in the machine learning models, as well as the ability to customize and fine-tune AI capabilities according to specific organizational needs. Overall, Vectra AI demonstrates strong performance and accuracy in detecting and responding to threats, but there are specific areas where improvements can enhance its functionality and user experience. Vectra AI - Pricing and Plans
Pricing Structure of Vectra AI
The pricing structure of Vectra AI, while not fully detailed on their official website, can be inferred from various user experiences and feedback.
Licensing Model
Vectra AI operates on an annual subscription license model. The licensing is typically based on the number of unique IP addresses, the number of logs processed, and the size of the environment.
Cost Structure
The cost is generally considered to be on the higher side, but it is often justified by the quality and effectiveness of the service. Users have noted that while Vectra AI is not the cheapest option, it is more cost-effective compared to some other alternatives like Darktrace.
The pricing can be substantial, especially for large-scale deployments. For instance, one user mentioned a yearly cost of about 90,000 pounds for their setup.
Features and Tiers
There are no explicitly defined tiers on the Vectra AI website, but users can choose the components they need for their environment. Additional features such as Cognito Recall and Stream can be purchased on top of the standard licensing fee.
The platform includes various components like network detection, public cloud, SaaS, identity, and network infrastructure monitoring. These features are part of the overall licensing agreement and can be customized based on the organization’s needs.
Free Options
Vectra AI offers a 45-day free trial for qualified organizations. This trial includes full access to the platform’s features, allowing users to deploy Vectra AI in their environment and experience its capabilities without any obligation to purchase. The trial period includes a 10-day learning phase for the system to fine-tune alerts, followed by 35 days of full detection and response capabilities.
Additional Costs
There may be additional costs associated with support services, such as monthly detection review sessions with analysts, and any professional or managed services that are layered on top of the basic licensing fee.
Summary
In summary, while the exact pricing tiers are not publicly detailed, Vectra AI’s pricing is based on an annual subscription model that considers various factors like IP addresses and environment size. The service is considered to be on the higher end of the price spectrum but offers significant value in terms of threat detection and response capabilities. A free 45-day trial is available for organizations to evaluate the product before committing to a purchase.
Vectra AI - Integration and Compatibility
Vectra AI Integration Overview
Vectra AI integrates seamlessly with a wide range of security tools and platforms, enhancing the capabilities of existing security infrastructures. Here are some key aspects of its integration and compatibility:Integration with SIEM Systems
Vectra AI can be integrated with various Security Information and Event Management (SIEM) systems, such as Splunk, Microsoft Sentinel, and Google Chronicle. This integration allows for the export of Vectra AI’s entity scoring, network metadata, and log output directly into the SIEM through standard Syslog or via API. This enhances investigative workflows, reduces alert noise, and speeds up threat detection.Compatibility with Other Security Tools
The Vectra AI Platform has an open architecture that connects to over 40 leading security technologies. This includes endpoint detection and response (EDR) tools like Crowdstrike Falcon, Microsoft Defender, and Sentinel One. Integrating with these tools helps cover gaps in endpoint protection and provides comprehensive coverage across network, identity, and cloud surfaces.Microsoft Azure Sentinel Integration
Vectra AI integrates smoothly with Microsoft Azure Sentinel, enabling seamless collaboration between the two platforms. This integration brings Vectra detections directly into the Microsoft Sentinel workbook, allowing for immediate attention and response. It also enables automated incident response actions based on Vectra’s threat prioritization and provides richer context for forensic analysis.Elastic Stack Integration
Vectra AI can be integrated with the Elastic Stack, including Elasticsearch and Kibana. This involves configuring syslog to send messages in JSON format to the Elastic Stack for storage, search, and visualization. This integration is compatible with Vectra Detect version 7.4 and above.General Compatibility
Vectra AI does not require any agents to be deployed, making the integration process quick and hassle-free. It aligns with various security frameworks such as NIST 2.0 Cybersecurity Framework (CSF), European NIS2 (Network and Information Security 2), and the US Department of Defense (DoD) Zero Trust framework. This ensures that Vectra AI can fit into existing security technology stacks without disrupting current workflows.Extensive Coverage
The platform provides real-time hybrid attack signal detection across networks, identities, public clouds, Microsoft M365, and other environments. This comprehensive coverage ensures that attackers cannot hide, and security teams can focus on real attacks rather than false alerts.Conclusion
In summary, Vectra AI’s integration capabilities are highly versatile, allowing it to enhance the functionality of a broad range of security tools and platforms, while ensuring compatibility with various security frameworks and technologies. Vectra AI - Customer Support and Resources
Customer Support Overview
Vectra AI offers a comprehensive range of customer support options and additional resources to ensure its customers receive the best possible assistance and maximize the benefits of their AI-driven security products.Support Levels
Vectra AI provides two main levels of support: Standard and Premium.Standard Support
This level is included in the license subscription and offers support access during business hours (8×5) based on the customer’s geography. It includes web portal/email support, knowledge base access, and support via phone call back.Premium Support
Available for an additional fee, Premium Support offers 24x7x365 on-demand service. This includes faster response times, queue priority, proactive monitoring and remediation, and live chat support. Premium Support is particularly beneficial for customers with complex environments who need advanced services and direct access to live assistance.Support Services
Vectra AI’s Technical Support organization provides several key services:Break-Fix, Diagnosis, and Recovery
Support includes resolving software and hardware issues, including performance improvements, new features, bug fixes, security patches, and third-party integrations.Hardware Support
For hardware issues, Vectra AI offers replacement hardware delivery services with varying delivery times depending on the region. For example, next business day delivery is available in the U.S., 2 business days in the European Economic Area, and 3 business days in the remainder of the Americas.Remote Access and Screen-Sharing
Customers can allow VPN remote access or use screen-sharing sessions to enable Vectra AI support engineers to assist without the need for an onsite visit.Proactive Health Monitoring and Remediation
Exclusive to Premium Support, this service proactively monitors cloud-connected Vectra products for critical health issues and triggers support investigations if necessary.Additional Resources
Vectra AI provides several resources to enhance customer experience and support:Knowledge Base and Support Portal
The Vectra AI Support Portal is available 24/7/365 and includes a knowledge base with product guides, knowledge articles, and other resources to help customers find answers to common questions.Live Chat Support
Premium Support customers have access to live chat support engineers via the Vectra AI Support Portal, available Monday to Friday, 24×5.Configuration Assistance and Software Updates
Customers can receive configuration assistance, software updates, and release notes through the support services.Global Support Presence
Vectra AI has a global support presence with offices and support teams in North America, Europe, and the Asia-Pacific region, ensuring support is available across different time zones.Professional Services
In addition to technical support, Vectra AI offers professional services, including:Implementation and Training
Vectra AI provides implementation guidance and training for customers, including deployment workshops on the Vectra AI Platform and its tools like Vectra Recall.Managed Detection and Response (MDR) and Extended MXDR Services
These services help customers manage and respond to threats 24/7, offloading routine tasks and empowering security teams to focus on critical threats. By offering these comprehensive support options and resources, Vectra AI ensures that its customers have the necessary tools and assistance to effectively use and benefit from their AI-driven security solutions. Vectra AI - Pros and Cons
Advantages of Vectra AI
Immediate Threat Detection
One of the significant advantages of Vectra AI is its ability to detect threats from day one, without the need for a baseline learning period. This is in contrast to competitors like Darktrace, which require two weeks of baselining before they can start detecting threats.
Advanced AI Models
Vectra AI uses supervised and unsupervised machine learning algorithms to identify attacker behaviors, even in encrypted traffic. This approach helps in reducing the complexity and latency associated with manual rule creation and tuning.
Comprehensive Coverage
The platform provides extensive coverage across networks, identities, public clouds, SaaS, and GenAI, making it virtually impossible for attackers to hide. It monitors a vast amount of data, including 13.3 million IPs daily and 10 billion sessions per hour.
Reduced Alert Noise
Vectra AI significantly reduces alert noise by automatically triaging and correlating threat events. This results in a reduction of alerts from thousands to just a handful of prioritized incidents, thereby reducing the workload of security teams by up to 34 times.
Integration with Existing Tools
The platform is designed to integrate seamlessly with other security tools in your stack, including SIEMs like Microsoft Sentinel, Splunk, and Google Chronicle, as well as endpoint detection and response tools like Crowdstrike Falcon and Microsoft Defender.
Improved Incident Response
Vectra AI enhances incident response by providing instant investigations and contextualizing the breakdown of attack progression across the cyber kill chain. This allows security analysts to focus on what is most urgent and critical to their organization.
Alignment with Security Frameworks
The platform aligns with various security frameworks such as NIST, NIS2, and Zero Trust, ensuring that it meets the compliance and security standards of different organizations.
Disadvantages of Vectra AI
User Interface
While Vectra AI prioritizes function over flash, some users have noted that the user interface may be less flashy compared to competitors like Darktrace. However, this is intentional to empower security analysts to focus on hunting, investigating, and stopping attacks rather than being distracted by unnecessary visual elements.
Pricing
Vectra AI is noted for its expensive pricing, which can be a significant barrier for some organizations. This high cost is balanced by the advanced features and significant reductions in operational costs through optimized SIEM and log ingest processes.
Room for Improvement in UI/UX
Despite its functional design, there is room for improvement in the user interface and user experience (UI/UX) of Vectra AI. Users have suggested enhancements in areas such as packet management and integration with SIEMs and other tools.
Limited Proactive Threat Response Features
Some users have pointed out that Vectra AI has limited proactive threat response features compared to its reactive capabilities. This means while it excels in detecting and responding to threats, it may not offer as many proactive measures to prevent attacks.
Overall, Vectra AI offers a powerful and integrated solution for cybersecurity, but it comes with some costs and areas for improvement, particularly in UI/UX and pricing.
Vectra AI - Comparison with Competitors
Vectra AI Unique Features
- Hybrid Attack Surface Visibility: Vectra AI provides comprehensive visibility across identity, public cloud, SaaS, data center networks, and endpoints through EDR integration. This holistic approach covers over 90% of MITRE ATT&CK techniques, reducing blind spots significantly.
- AI-driven Attack Signal Intelligence: Vectra AI uses patented AI to prioritize real attacks in real-time, reducing alert noise by 80% or more. This includes AI-driven prioritization, triage, and detection, which help in identifying and responding to threats efficiently.
- Integrated Detection and Response: The platform offers integrated detection and response capabilities for on-premises and cloud networks, including network, identity, and cloud detection and response. It also integrates with various security tools like EDR, SIEM, and SOAR systems.
- Advanced Investigation and Response: Vectra AI enables analysts to query logs directly from the platform UI and execute targeted responses such as locking down accounts or isolating endpoints. The Instant Investigation feature provides lighted pathways for quick investigations.
Alternatives and Comparisons
Darktrace
- User Interface and Functionality: Unlike Vectra AI, Darktrace is often criticized for a more flashy but less functional user interface. Vectra AI prioritizes workflow and analyst efficiency, making it easier for security teams to focus on hunting and stopping attacks.
- AI Capabilities: While Darktrace also uses AI, Vectra AI’s Attack Signal Intelligence is highlighted as more effective in reducing alert noise and prioritizing real attacks. 91% of customers prefer Vectra AI over Darktrace for these reasons.
Other Security Platforms
- General Security Tools: Other security platforms might not offer the same level of hybrid attack surface visibility or the advanced AI-driven detection and response capabilities that Vectra AI does. For example, traditional SIEM systems or EDR solutions may lack the integrated approach across multiple attack surfaces that Vectra AI provides.
Key Differences in User Experience
- Analyst-Centric Design: Vectra AI is designed with the analyst in mind, focusing on simplicity and effectiveness rather than a flashy interface. This approach helps security teams to quickly identify and respond to threats without being overwhelmed by unnecessary information.
In summary, Vectra AI stands out for its comprehensive coverage of the hybrid attack surface, advanced AI-driven detection and response, and its analyst-centric design. While other tools like Darktrace may offer some similar features, Vectra AI’s focus on functionality and efficiency sets it apart in the market.
Vectra AI - Frequently Asked Questions
What cybersecurity products does Vectra AI offer?
Vectra AI offers a suite of products primarily focused on threat detection and response. These include Network Detection and Response (NDR), Identity Detection and Response, Cloud Detection and Response for platforms like Microsoft 365, AWS, and Azure, and Managed Detection and Response (MDR) services. These products leverage advanced AI and machine learning to detect and combat cyberattacks in real-time.How does Vectra AI detect threats?
Vectra AI uses various techniques to detect threats, including machine learning, behavioral analysis, and anomaly detection. For example, its flagship NDR product analyzes network traffic in real-time to identify patterns indicative of malicious activity. The platform also integrates with other security tools like EDR (Endpoint Detection and Response), SIEM (Security Information and Event Management), and SOAR (Security Orchestration, Automation, and Response) to provide comprehensive security coverage.What are the key components of the Vectra AI Platform?
The Vectra AI Platform includes several key components:- Vectra Detect: A network-based threat detection and response solution providing visibility and control over network traffic.
- Vectra Recall: A cloud-based service that stores historical network metadata for up to 12 months to support security investigations.
- Vectra Stream: A real-time threat detection and response solution offering continuous visibility into network traffic and activity.
How does Vectra AI prioritize and respond to threats?
Vectra AI uses AI-driven prioritization to correlate, score, and rank incidents by urgency level. It also employs AI-driven triage to distinguish between malicious and benign events based on the customer’s unique environment. For response, the platform offers targeted response capabilities, allowing analysts to enforce actions such as locking down an account, isolating an endpoint, or executing a playbook automatically or manually.What benefits does Vectra AI claim for its customers?
Vectra AI claims several benefits, including enhanced threat detection, reduced false positives, and improved response times to security incidents. The platform’s AI-driven approach allows for faster and more accurate identification of real threats, enabling organizations to focus their resources more effectively.How does Vectra AI integrate with other security tools?
Vectra AI integrates seamlessly with various security tools, including EDR solutions like Microsoft Defender, CrowdStrike, and SentinelOne, SIEM systems like Microsoft Sentinel, Splunk, and IBM QRadar, and SOAR solutions. This integration provides a comprehensive security solution by combining the capabilities of these tools with Vectra AI’s advanced threat detection and response features.What is the pricing structure for Vectra AI?
Vectra AI’s pricing is based on an annual subscription license, and it can be considered on the pricier side but is generally more cost-effective compared to some other solutions like Darktrace. The licensing model is based on factors such as the number of unique IPs, the number of logs sent through Recall and Stream, and the size of the environment. While it is not the most budget-friendly option, it is seen as providing good value for the features and services offered.How does Vectra AI cover different attack surfaces?
The Vectra AI Platform provides hybrid attack surface visibility across identity, public cloud, SaaS, data center networks, and endpoints via EDR integration. It covers over 90% of MITRE ATT&CK techniques and includes most MITRE D3FEND references for defensive countermeasures, ensuring comprehensive coverage of various attack surfaces.What kind of support and services does Vectra AI offer?
Vectra AI offers Managed Detection and Response (MDR) services, which include real-time support from security analysts. The platform also provides features like Instant Investigation and Advanced Investigation, which help analysts of all skill levels to investigate threats efficiently. Additionally, Vectra AI offers regular detection review sessions and other professional services to support its customers.How does Vectra AI handle historical network metadata?
Vectra Recall, a component of the Vectra AI Platform, stores historical network metadata for up to 12 months. This allows security teams to investigate complex threats over an extended period, using advanced search and filtering capabilities and detailed reporting and analytics.Is Vectra AI suitable for all types of organizations?
While Vectra AI is a powerful tool, its pricing can be prohibitive for some organizations, particularly smaller schools or entities with limited budgets. However, for larger organizations or those in the financial sector, the platform is often seen as a worthwhile investment due to its advanced security capabilities and transparent pricing model.