ExtraHop Reveal(x) vs Vectra AI comparison

ExtraHop Reveal(x) is a highly effective network traffic analysis (NTA) solution that leverages a cloud-native architecture to empower organizations to overcome a world filled with increasingly sophisticated threats. It identifies 25% more threats than its competitors. Additionally, organizations that employ Reveal(x) say they resolve issues 77% percent faster than they would if they were using other similar solutions.

ExtraHop Reveal(x) Benefits

Some of the ways that organizations can benefit by choosing to deploy ExtraHop Reveal(x) include:

• Total network visibility. Reveal(x) gives users the ability to view every component of their network and devices connected to it in real time. It can automatically recognize and classify the devices that are communicating across an organization’s network. These devices are scanned by powerful decryption software that reveals hidden threats and the details of critical transactions without compromising privacy or compliance rules. Organizations are given full East-West visibility across both physical data centers and cloud environments. Threats that are on the periphery are brought to the attention of the administrators tasked with watching out for them.

• Identify threats in real time. Reveal(x) extracts more than 5,000 features from the L2-L7 security layers at any given time, feeds them into its machine learning engine, and presents them to its rule-based detection feature. These features make it possible for the solution to identify the most severe threats. Users can conduct a threat triage and address the threats that their system detects in the order of severity that these threats represent.

• Ease of use. Users of Reveal(x) can easily make full use of its event remediation features without expending long periods of time learning them. Its workflows are designed so that administrators can go from a security event to the cause of the event in only a couple of clicks. What would normally take hours can be completed in moments.

ExtraHop Reveal(x) Features

• Integration suite. Reveal(x) enables users to utilize a robust suite of integrations. If users feel they are missing important capabilities, they can bolster their security feature toolbox with those offered by third-party solutions. Phantom, Splunk, and Palo Alto are three examples of solutions that Reveal(x) enables users to connect to in order to fill in a gap in their security capabilities.

• Automated inventory. Reveal(x) automatically creates a detailed inventory of all of the devices that it discovers and classifies. This keeps an always up-to-date record of all of the devices that are communicating in a given network.
  
  
• Machine learning. Reveal(x)’s real-time application analytics is driven by a machine learning engine. It detects anomalies in an organization’s network traffic, thus enabling users to keep ahead of any and all threats while reducing the number of false positives that administrators have to sort through.

Reviews from Real Users

ExtraHop Reveal(x) is a solution that stands out when compared to many other similar solutions. Two major advantages that it offers are its versatility and its ability to quickly identify the root cause of an application’s issues.

John B., the senior monitoring engineer at a financial services firm, says, “It's useful for different teams in our organization. The cybersecurity team uses it because it has got great analytics for anomaly detection, malware detection, and ransomware. It's used by the networking people because it's great to be able to get the three-way handshake between systems to see how your network is doing. The microservices for DNS use it because they like to be able to see how their DNS services are operating and how many DNS requests are being rejected, denied, or dropped. Application people love it because it fully decrypts their traffic.

Henry S., a systems engineer at LifePoint Health, writes, "When there are performance issues with an HTTP app, ExtraHop enables us to identify the causes within a few minutes. We can see what transactions are being impacted by something that may be happening within the server environment."

Vectra AI enhances security operations by pinpointing attack locations, correlating alerts, and providing in-depth visibility across attack lifecycles, ultimately prioritizing threats and improving incident responses.

Vectra AI integrates AI and machine learning to detect anomalies early and supports proactive threat response. Its features like risk scoring, alert correlation, and streamlined SOC efficiency are supplemented by integration with tools like Office 365. Users highlight integration, reporting, and customization challenges, alongside limitations in syslog data and false positive management. They seek enhancements in visualization, UI, TCP replay, endpoint visibility, and tool orchestration, with requests for improved documentation, licensing, and cloud processing innovation.

• Attack Location Identification: Pinpoints specific locations of security breaches.
• Alert Correlation: Combines multiple alerts into a single incident for efficiency.
• Visibility Across Attack Lifecycle: Offers detailed insight through different attack stages.
• Risk Scoring: Aggregates risk scores to prioritize imminent threats.
• AI and Machine Learning: Detects anomalies early to aid in proactive threat response.
• Integration with Office 365: Seamlessly consolidates data for enriched investigations.

• Enhanced SOC Efficiency: Reduces alert fatigue and improves operational efficiency.
• Threat Prioritization: Focuses on the most critical threats with risk scoring.
• Proactive Threat Response: Early anomaly detection aids in swift response.
• Operational Overhead Reduction: Seamless integration minimizes extra workload.
• Compliance and Policy Support: Assists in adhering to policies and regulations.

In industries like finance, healthcare, and critical infrastructure, Vectra AI is crucial for threat detection and network monitoring. Entities use it for identifying anomalous behaviors and enhancing cybersecurity by responding to network activities and analyzing traffic for potential breaches. It operates on-premises and in hybrid cloud settings, enabling threat detection without endpoint agents and supporting compliance and policy enforcement.