Vectra AI - Detailed Review
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Vectra AI - Detailed Review Contents
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Vectra AI - Product Overview
Introduction to Vectra AI
Vectra AI is a leading cybersecurity platform that leverages artificial intelligence (AI) and machine learning to detect and respond to cyber threats in real-time. Here’s a brief overview of its primary function, target audience, and key features:Primary Function
Vectra AI’s primary function is to identify and stop cyber attacks across various environments, including networks, identity systems, public clouds, Microsoft M365, and SaaS applications. The platform focuses on detecting both known and unknown threats by analyzing network traffic, user behavior, and security logs to identify potential threats and anomalies.Target Audience
Vectra AI primarily targets medium to large enterprises that handle sensitive data and are at high risk of cyber attacks. These organizations include those in the healthcare, finance, and government sectors, among others. The platform is used by IT security professionals, Chief Information Security Officers (CISOs), and network administrators who are responsible for protecting their organization’s digital assets.Key Features
Real-Time Threat Detection
Vectra AI continuously monitors network traffic and behavior patterns to detect suspicious activities in real-time, enabling quick responses to potential threats.AI-Driven Attack Signal Intelligence
The platform uses AI to understand attacker behavior, detect subtle attacker techniques, and predict the next moves, allowing organizations to act swiftly.Comprehensive Coverage
Vectra AI provides coverage across network, identity, public cloud, SaaS, and GenAI environments, making it virtually impossible for attackers to hide.Automated Event Triage
The platform automates event triage, parsing benign detections to reduce alert noise and increase signal fidelity. This results in prioritizing only the most critical threats, reducing thousands of alerts to a handful of real attacks.Instant Investigations
Vectra AI automatically collates detections across the cyber kill chain to contextualize the breakdown of attack progression, enabling swift and effective investigations.Integrated Response
The platform offers native, integrated, and managed response capabilities, providing security teams the flexibility to manually or automatically take the right action at the right time.Scalability and Flexibility
Vectra AI’s platform is scalable and can be adapted to meet the specific needs of organizations of all sizes, from small businesses to large enterprises.Integration with Other Security Technologies
The platform has an open architecture that connects to over 40 leading security technologies for integrated investigations across the entire attack surface. By combining these features, Vectra AI helps organizations stay ahead of cyber attacks and protect their critical assets effectively. Vectra AI - User Interface and Experience
User Interface
The interface is intuitive and user-friendly, allowing customers to perform a variety of critical tasks such as viewing detections, investigating threats, responding to attacks, setting up data sources, and managing configuration settings. Here are some key aspects of the UI:
Host Detections Page
This is a central page where users can monitor detections. It features a graph plotting hosts on a threat certainty index and a list of hosts, with detailed information available through tooltips. Hosts are color-coded based on their threat and certainty scores, highlighting those that pose the greatest risk.
Global View
The platform includes a Global View feature within the Vectra AI Respond UX (RUX), which allows analysts to filter through prioritized entities, perform initial investigations, and connect to child RUX instances. This feature also includes global analyst permissions and the ability to revert back to the Global View.
Ease of Use
Users have reported that the Vectra AI Platform is generally easy to use and integrate into their existing systems. Here are some points highlighting its ease of use:
Intuitive UI
The platform is praised for its intuitive user interface, which makes it easy for security analysts to work with. The UI is designed to be simple yet powerful, allowing users to quickly identify and respond to threats.
Efficient Login Experience
Recent improvements have enhanced the efficiency of the user login experience, reducing delays and making the overall process smoother.
Customization
Users appreciate the customization options available, such as the ability to set up playbooks and tailor the platform to their business needs.
User Experience
The overall user experience is a key focus for Vectra AI, with several initiatives aimed at improving it:
Load Times
The platform has been optimized to reduce page load times and improve the performance of API requests and backend operations. This includes the use of “skeleton screens” to enhance the perception of page load performance.
Responsive Application
The collaborative efforts of engineering, product management, and UX/UI teams have resulted in a more responsive and reliable application, which is crucial for daily use by security analysts.
User Feedback
Vectra AI has been praised by users for listening to customer feedback and making significant improvements over the years. This includes enhancing network visibility, integrating well with tools like Splunk, and helping IR teams prioritize events effectively.
In summary, the Vectra AI Platform offers a user-friendly and efficient interface that is designed to streamline the process of detecting, investigating, and responding to cyber threats. The platform’s focus on reducing load times, improving performance, and integrating user feedback has significantly enhanced the overall user experience.
Vectra AI - Key Features and Functionality
Vectra AI Overview
Vectra AI is a prominent player in the cybersecurity landscape, offering a suite of AI-driven products focused on threat detection and response. Here are the key features and functionalities of Vectra AI:Advanced AI-Driven Threat Detection
Vectra AI employs advanced AI algorithms and machine learning to analyze network traffic, user behavior, and system security in real-time. This allows for the identification of patterns indicative of malicious activity, enabling early detection and swift response to potential threats.Enhanced Visibility
The platform provides comprehensive visibility into network traffic, user behavior, and potential threats that might be undetected by other security tools. This enhanced visibility helps in identifying hidden threats and improving the overall security posture of an organization.Correlation and Contextualization
Vectra AI enriches security events by correlating data from multiple sources and providing context around potential threats. This integration allows security teams to gain a holistic view of threats and respond with greater accuracy.Reduced Alert Fatigue
By integrating with existing security tools, Vectra AI helps reduce alert fatigue by providing more accurate and prioritized alerts. The platform filters out noise and false positives, allowing security teams to focus on the most critical threats and minimize response time.Automation and Orchestration
Vectra AI enables the automation and orchestration of security processes. By integrating with existing tools, organizations can streamline incident response workflows, automate remediation actions, and improve overall operational efficiency.Comprehensive Threat Intelligence
Vectra AI leverages a global threat intelligence network, continuously updating its knowledge base with the latest threat indicators and attack techniques. This provides organizations with a broader and more comprehensive threat intelligence perspective, enabling proactive defense against emerging threats.Integration Capabilities
The Vectra AI Platform has an open architecture that connects to over 40 leading security technologies, including SIEM systems like Splunk. This allows for integrated investigations across the entire attack surface and enables the export of entity scoring, network metadata, or log output directly into SIEM systems via standard Syslog or API.Detection of Advanced Threats
Vectra AI is capable of detecting both known and unknown threats, including advanced persistent threats (APTs), ransomware, spear phishing attacks, and zero-day exploits. It can identify the earliest signs of these threats and stop them before any damage is done.Scalability and Flexibility
The platform is scalable and flexible, making it suitable for various environments, including cloud, identity, and operational technology (OT) environments. It also supports remote workforce security and critical infrastructure risk management.AI-Powered Anomaly Detection
Vectra AI delivers 24/7 service, enhancing alert quality through AI-powered anomaly detection. It provides aggregated risk scores to prioritize threats and consolidates alerts into incidents, reducing administrative burden.Conclusion
In summary, Vectra AI’s integration of AI and machine learning into its products enhances threat detection, reduces false positives, and improves response times. Its comprehensive visibility, correlation capabilities, and automation features make it a valuable addition to any security toolkit. Vectra AI - Performance and Accuracy
Performance of Vectra AI
Vectra AI is highly regarded for its performance in the AI-driven security tools category, particularly in threat detection and response.Real-Time Detection
Vectra AI uses a real-time streaming engine to process data, allowing for immediate detection of attacker actions without delays. This approach ensures that security teams have ample time to respond to threats.Scalability
The platform is designed to handle large-scale enterprise networks, cloud deployments, and SaaS services, processing vast amounts of data efficiently. This scalability is crucial for maintaining high-quality alerts even with extensive data sets.Algorithm Efficacy
Vectra’s algorithms, especially those using unsupervised learning, are effective in detecting threats by analyzing months of data and millions of events. This approach helps in building accurate baselines and reducing false positives.Accuracy of Vectra AI
The accuracy of Vectra AI is a key strength, driven by several factors:Security-Led Approach
Vectra focuses on detecting attacker actions rather than just unusual events, which enhances the precision and recall of its threat detection. This approach helps in identifying true positives and reducing unnecessary alerts.Advanced Machine Learning
The platform leverages advanced machine learning techniques and human expertise to understand attacker behavior and patterns. This results in more accurate threat detection and fewer false positives.Signal Efficacy
Vectra’s Attack Signal Intelligence™ reduces alert noise by 80% or more, allowing security teams to focus on critical threats rather than sifting through numerous alerts.Limitations and Areas for Improvement
Despite its strengths, there are several areas where Vectra AI can be improved:Integration and Automation
Users have noted that the integration process is not entirely out-of-the-box and requires manual setup, including the need for a Linux server. There is also a desire for more automated threat intervention and better integration with other security tools like EDR.User Interface and Visualization
Some users find the UI and visualization of detected threats to be less intuitive compared to other solutions. There is a need for more granular control over detection rules and policies, as well as improved reporting features.Cloud vs. On-Premises
The transition to a full cloud model has raised concerns among some users, particularly those who prefer on-premises solutions or have competitors hosting their cloud services (e.g., AWS).Customization and Transparency
There is a need 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.Reporting and Alerting
Users have highlighted issues with the reporting features, such as the lack of detailed information in alerts and reports, and the occasional mismatch between alert severity levels. Smoother transitions during software upgrades to reduce initial noise are also desired.Additional Considerations
Customer Support and Performance
There are suggestions for improving customer support, handling high network traffic, and enhancing performance, particularly in terms of response time at the endpoint level.Feature Enhancements
Users would like to see more features such as comprehensive TCP recording and replay, better data querying capabilities, and more proactive threat response mechanisms. Overall, while Vectra AI excels in threat detection and real-time response, there are areas where improvements can be made to enhance user experience, integration, and overall performance. Vectra AI - Pricing and Plans
Pricing Structure Overview
When considering the pricing structure of Vectra AI, several key points are important to note, although the company does not publicly disclose detailed pricing tiers on their website.Licensing Model
Vectra AI operates on an annual subscription license model. The pricing is generally based on the number of concurrent IP addresses being monitored, as well as other factors such as the number of logs and the size of the environment.Features and Plans
While specific tiers are not explicitly outlined, here are some features and considerations that influence the pricing:IP-Based Licensing
The cost is tied to the number of unique IP addresses being monitored. This can lead to higher costs for larger networks.Additional Features
There are additional features that can be purchased beyond the standard licensing fee, such as Cognito Recall and Stream. These add-ons can increase the overall cost.Customization
Through programs like the Vectra AI Clarity Program for Managed Security Service Providers (MSSPs), customers can customize their XDR platform, choosing the specific components needed for their environment. This allows for versatile pricing models designed per IP or on an account basis.Cost Considerations
Hardware Costs
While the hardware provided by Vectra AI is often minimal, the primary cost is associated with the licensing fees.Scalability
The cost can increase significantly as the number of IP addresses and the size of the environment grow. For example, deploying over a thousand physical sensors can result in costs running into millions.Free Options
Vectra AI offers a 45-day free trial for qualified enterprise organizations. This trial includes:Full Access
Unlimited access to the platform for 45 days, with no obligation to purchase.Setup and Support
The platform can be set up within minutes, and users have access to the engineering support team throughout the trial.Trial Phases
The first 10 days are used for the platform to learn the unique network and fine-tune alerts, followed by 35 days of full detection and response capabilities.Conclusion
In summary, while Vectra AI does not provide a detailed public breakdown of pricing tiers, the cost is largely determined by the scope of the network and additional features required. The annual subscription model and IP-based licensing are key factors, and potential users can take advantage of a comprehensive free trial to assess the product’s fit for their needs. Vectra AI - Integration and Compatibility
Integration with Security Tools
Vectra AI is designed to integrate seamlessly with a wide range of security tools and platforms, enhancing your overall cybersecurity posture through comprehensive and automated threat detection and response.Integration with SIEM Systems
Vectra AI can be integrated with various Security Information and Event Management (SIEM) systems, such as Splunk, Microsoft Azure Sentinel, and Google Chronicle. This integration allows you to export Vectra AI’s entity scoring, network metadata, and log output directly into your SIEM via standard Syslog or API. This enhances your investigative workflows by providing more accurate and prioritized alerts, reducing alert fatigue, and enabling faster response times.Extended Detection and Response (XDR)
Vectra AI supports a true XDR strategy by integrating across your entire security technology stack. This includes cloud services, packet brokers, virtualization, endpoint, SIEM, Security Orchestration, Automation, and Response (SOAR), IT Service Management (ITSM), and firewalls. These integrations enable the detection and disarmament of attacks in minutes, regardless of where they occur within your network.Compatibility with Endpoint Detection and Response (EDR)
Vectra AI complements endpoint protection by detecting post-compromise attacks that EDR solutions may miss. It integrates with popular EDR tools such as Crowdstrike Falcon, Microsoft Defender, and Sentinel One, ensuring that network, identity, and cloud surfaces are also protected.Integration with Microsoft Azure Sentinel
The integration with Microsoft Azure Sentinel allows for seamless collaboration between the two platforms. Vectra AI detections are directly integrated into Microsoft Sentinel workbooks, enabling immediate attention and response. This integration also supports automated incident management, forensic analysis, and richer context for threat understanding.Integration with Other Security Tools
Vectra AI’s open architecture connects to over 40 leading security technologies, facilitating integrated investigations across your entire attack surface. This includes integrations with SOAR platforms like Cortex XSOAR and Splunk SOAR, as well as compatibility with various cloud services and firewalls.Automation and Orchestration
Vectra AI’s integration capabilities enable the automation and orchestration of security processes. By integrating with existing tools, you can streamline incident response workflows, automate remediation actions, and improve overall operational efficiency. This automation helps in containing and mitigating threats more efficiently.Scalability and Flexibility
The platform is designed to integrate seamlessly with existing security infrastructure, regardless of its size or complexity. Whether you have a few security tools or a diverse security stack, Vectra AI can adapt and integrate, providing scalable and flexible solutions that align with your specific needs.Conclusion
In summary, Vectra AI’s integration capabilities are extensive and flexible, allowing it to work harmoniously with a broad range of security tools and platforms. This ensures enhanced visibility, threat detection, and response capabilities, making it a valuable addition to any cybersecurity strategy. Vectra AI - Customer Support and Resources
Customer Support Overview
Vectra AI offers a comprehensive range of customer support options and additional resources to ensure users get the most out of their AI-driven security tools.Support Levels
Vectra AI provides two main levels of support: Standard and Premium.Standard Support
This is included in the license subscription and offers support access during business hours (8×5) based on your geography. It includes web portal/email support, knowledge base access, and support via phone call back.Premium Support
Available for an additional fee, this is a 24x7x365 on-demand service. It features 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.Response Times and Issue Resolution
The response times for support requests vary based on the severity of the issue:P0 (Blocker)
1 hour initial response, 4 hours follow-up during business hours; 30 minutes initial response, 2 hours follow-up for 24×7 support.P1 (Critical)
2 hours initial response, 8 hours follow-up during business hours; 1 hour initial response, 4 hours follow-up for 24×7 support.P2 (Major) and P3 (Minor)
Issues have corresponding response times adjusted accordingly.Additional Support Resources
Knowledge Base and Support Portal
The Vectra AI Support Portal is available 24/7 and includes a knowledge base with product guides, knowledge articles, and other resources to help users resolve issues independently.Live Chat Support
For Premium Support customers, live chat is available Monday through Friday, allowing immediate assistance from expert support engineers.Remote Access and Support
Vectra AI offers remote access options, including VPN remote access and screen-sharing sessions, to help resolve issues without the need for onsite visits.Proactive Health Monitoring and Remediation
Premium Support includes proactive monitoring of cloud-connected Vectra products for critical health issues, with automated alerts and support ticket creation to address any issues promptly.Hardware Support
For hardware-related issues, Vectra AI provides reliable support with low failure rates. If hardware replacement is necessary, Vectra issues a Returned Materials Authorization (RMA) and supports ticket through the most appropriate channel. Hardware replacement delivery times vary by region, with next business day delivery available in the U.S., 2 business days in the European Economic Area, and 3-5 business days in other regions.Integration and Compatibility
Vectra AI is designed to integrate seamlessly with existing security technology stacks, including SIEM, SOAR, and EDR tools. This integration helps refine investigative workflows, lower costs, and stop attacks more efficiently. It supports various third-party integrations such as AWS, Crowdstrike, VMware, Microsoft Defender, and more, enabling a true open XDR solution. By providing these comprehensive support options and resources, Vectra AI ensures that customers have everything they need to be successful in managing and securing their environments effectively. Vectra AI - Pros and Cons
Advantages of Vectra AI
Vectra AI offers several significant advantages in the AI-driven security tools category:Advanced Threat Detection
Vectra AI utilizes unsupervised machine learning models to analyze network behavior, establishing a baseline of normal activity and flagging deviations as potential threats. This approach helps in identifying subtle behavioral anomalies that traditional signature-based detection might miss.Real-Time Detection and Response
The platform provides real-time threat detection across various environments, including networks, identities, public clouds, Microsoft M365, and Copilot. This ensures that attackers cannot hide, and security teams can respond swiftly to incidents.Reduced False Positives
Vectra AI significantly reduces alert noise by up to 99%, filtering out false positives and ensuring that security teams focus only on the most critical threats. This is achieved through AI-driven triage and correlation of threat events.Comprehensive Coverage
The platform offers comprehensive coverage by monitoring a vast amount of data, including 13.3 million IPs daily and processing 10 billion sessions per hour. This extensive data ingestion helps in identifying real attacker behaviors even in encrypted traffic.Automation and Orchestration
Vectra AI automates incident response actions through SOAR integrations, streamlining security processes and improving operational efficiency. This automation helps in speeding up the incident response process and reducing manual effort.Enhanced Visibility and Context
The platform provides enhanced visibility into network traffic, user behavior, and potential threats, enriching security events with context from multiple sources. This holistic view enables security teams to respond more accurately and effectively.Threat Hunting and Risk Management
Vectra AI aids in threat hunting by identifying threats that traditional security solutions might miss. It also helps in risk management by tracking the effectiveness of security controls and identifying gaps in security, thereby improving the overall security posture.Disadvantages of Vectra AI
While Vectra AI offers numerous benefits, there are some potential drawbacks to consider:Integration Requirements
Implementing Vectra AI may require integration with existing security tools, which could involve some initial setup and configuration. However, this integration is generally reported to be straightforward and quick.Dependence on AI Models
The effectiveness of Vectra AI relies heavily on its AI models and machine learning algorithms. If these models are not continuously updated or if there are issues with data quality, the accuracy of threat detection could be impacted. However, Vectra AI continuously updates its knowledge base with the latest threat indicators and attack techniques to mitigate this risk.Resource Intensity
The platform processes a massive amount of data, which might require significant computational resources. However, Vectra AI’s cloud-native streaming platform is designed to handle this scale efficiently. In summary, Vectra AI offers substantial advantages in terms of advanced threat detection, real-time response, reduced false positives, and comprehensive coverage, making it a valuable tool for enhancing security posture. While there are some potential drawbacks, such as integration requirements and dependence on AI models, these are generally manageable and do not overshadow the benefits provided by the platform. Vectra AI - Comparison with Competitors
Unique Features of Vectra AI
- Comprehensive Visibility and Coverage: Vectra AI provides advanced network detection and response (NDR) capabilities, offering complete visibility across the entire hybrid cloud attack surface, including network, identity, and cloud environments. This holistic coverage is a significant strength, especially in hybrid cloud setups.
- AI-Driven Attack Signal Intelligence: Vectra AI uses more than 150 behavior-based detection models to identify both known and unknown threats. It prioritizes alerts based on their criticality, reducing alert noise by 80% or more, which helps security teams focus on real attacks rather than benign anomalies.
- Strong Signal Clarity and Contextualization: Unlike competitors like Darktrace, which often generate alerts for any anomaly, Vectra AI correlates events to provide context around potential threats. This approach ensures security analysts receive clear and relevant information, enabling quicker and more accurate responses.
- Integration and Automation: Vectra AI integrates with over 40 leading security tools, including EDR, SIEM, SOAR, and ITSM providers. This integration enables automated incident response playbooks and streamlines investigations, making it easier to manage and respond to threats.
- Managed Extended Detection and Response (MXDR): Vectra AI offers 24/7 support with skilled analyst reinforcements, allowing security teams to offload the responsibility of stopping attacks. This is particularly beneficial for teams that need continuous monitoring and expert support.
Potential Alternatives
Darktrace
- Darktrace is known for its autonomous response technology that interrupts cyber-attacks in real-time. However, it has limitations in terms of attack coverage and signal clarity compared to Vectra AI. Darktrace focuses on anomalies rather than critical threats, which can lead to more false positives and require more human tuning.
- Use Case: Best for neutralizing novel threats, but it may not offer the same level of holistic coverage as Vectra AI.
SentinelOne
- SentinelOne is highly regarded for its advanced threat hunting and incident response capabilities. It provides fully autonomous cybersecurity powered by AI, but it is more focused on endpoint security rather than the broad network and cloud coverage offered by Vectra AI.
- Use Case: Best for monitoring user endpoint behavior and advanced threat hunting.
Balbix
- Balbix is a powerful AI-based security solution that quantifies cyber risk using predictive analytics. It provides unmatched visibility into the attack surface and security vulnerabilities by analyzing over 100 billion signals across the enterprise IT environment. While it excels in risk quantification and asset discovery, it may not offer the same level of real-time threat detection and response as Vectra AI.
- Use Case: Ideal for organizations needing to quantify cyber risk in financial terms and gain a unified cyber risk posture view.
CrowdStrike
- CrowdStrike offers a cloud-native endpoint protection platform that is highly effective in stopping breaches. It is best for monitoring user endpoint behavior but lacks the comprehensive network and cloud coverage that Vectra AI provides.
- Use Case: Best for environments where endpoint security is the primary concern.
Summary
Vectra AI stands out with its comprehensive visibility, AI-driven attack signal intelligence, and strong integration capabilities. While alternatives like Darktrace, SentinelOne, Balbix, and CrowdStrike offer unique strengths, they may not match the holistic coverage and advanced threat detection capabilities of Vectra AI. When choosing an AI-driven security tool, it’s crucial to consider the specific needs of your organization, such as the importance of network, identity, and cloud security, as well as the need for automated response and integration with existing security tools. Vectra AI - Frequently Asked Questions
1. What does the Vectra AI Platform do?
The Vectra AI Platform is an AI-driven security solution that detects and stops attacks across network, identity, public cloud, Microsoft M365, and other environments. It identifies unknown threats in real time, reduces alert noise, and provides context for security teams to discover, hunt, investigate, and stop attacks early in their progression.
2. How does Vectra AI integrate with existing cybersecurity infrastructure?
Vectra AI seamlessly integrates with your existing security tools, including SIEM, EDR, and SOAR solutions. It ingests data from these systems, enriching it with AI-powered threat detection capabilities to provide a unified view of your security landscape. This integration allows Vectra AI to act as a force multiplier for your defenses without requiring you to replace your entire security ecosystem.
3. What makes Vectra AI’s detection capabilities unique?
Vectra AI’s detection capabilities are unique because they use AI to identify real attacker behaviors, even in encrypted traffic. This approach eliminates the need for manual rule creation and tuning, reducing complexity and latency. The platform also automates event triage, prioritizing incidents based on attacker profiles and the importance of the targeted hosts and accounts.
4. How does Vectra AI handle alert noise and false positives?
Vectra AI’s AI Triage feature automatically parses benign detections to reduce alert noise and increase signal fidelity. This system learns what is security-relevant, reducing the number of alerts from thousands to single digits per day. This helps security analysts focus on real attacks rather than false positives.
5. What is the pricing structure for Vectra AI?
Vectra AI operates on an annual subscription license model. The pricing is based on the number of unique IPs monitored, the number of logs processed, and the size of the environment. While it is considered to be on the pricier side, it is often seen as more cost-effective compared to other similar solutions like Darktrace. The licensing model, however, can be complex and may involve multiple factors.
6. Can Vectra AI detect advanced threats like ransomware and zero-day exploits?
Yes, Vectra AI is capable of detecting the earliest signs of various advanced threats, including ransomware, zero-day exploits, and spear phishing attacks. It provides real-time detection and response capabilities to stop live attacks before any significant damage is done.
7. How does Vectra AI support investigations and response actions?
Vectra AI’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 necessary context to respond quickly and effectively. The platform also offers native, integrated, and managed response options, allowing analysts to take the right action at the right time.
8. Does Vectra AI support cloud and identity protection?
Yes, Vectra AI provides comprehensive coverage for public cloud, SaaS, and cloud identity protection. It detects and prevents account takeover attacks and other cloud-based threats with high accuracy, ensuring the security of your cloud environment.
9. How does Vectra AI handle data ingestion and processing?
Vectra AI’s real-time data ingestion engine is capable of monitoring 13.3 million IPs daily, processing 10 billion sessions per hour, and handling 9.4 trillion bits per second. This ensures that the platform can handle large volumes of data efficiently and provide instant behavioral-based detection.
10. What kind of support and maintenance does Vectra AI offer?
Vectra AI offers various support and maintenance options, including annual subscription licenses that cover support. Users also have access to regular detection review sessions with analysts, which help in identifying and addressing security issues effectively.