LogRhythm UEBA [EOL] vs Vectra AI comparison

Why PeerSpot?

Exabeam and Vectra AI are both solutions in the Extended Detection and Response (XDR) category. Additionally, 60% of Exabeam users are willing to recommend the solution, compared to 97% of Vectra AI users who would recommend it.

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jun 3, 2026

Vectra AI and LogRhythm UEBA compete in the threat detection and response category. Vectra AI appears to have the upper hand due to its advanced AI integration and alert consolidation capabilities.

Features: Vectra AI focuses on reducing alert fatigue by consolidating multiple alerts into a single incident, integrating AI for enhanced threat detection, and providing detailed insights into network behavior. LogRhythm UEBA, in contrast, prioritizes user behavior analytics using machine learning, dashboard usability, and seamless integration with existing security infrastructures.

Room for Improvement: Vectra AI users seek better integration with security products, improved false positive management, and more customization options. A broader focus on operational technology threats could be beneficial. LogRhythm UEBA could enhance data aggregation and machine learning capabilities and expand its use case library for improved detection efficiency.

Ease of Deployment and Customer Service: Vectra AI offers flexible deployment options across on-premises, public, and hybrid cloud environments and is praised for its responsive technical support. LogRhythm UEBA is mostly on-premises, with support effectiveness varying based on the service engineer, although generally considered responsive.

Pricing and ROI: Vectra AI is seen as expensive, with a complex licensing model but delivers significant ROI in high-security environments through improved detection and efficiency. LogRhythm UEBA is more budget-friendly, especially for small to medium businesses, though expensive compared to specific solutions, offering ROI by reducing security threat impacts and improving response times.

To learn more, read our detailed Extended Detection and Response (XDR) Report (Updated: October 2026).

Buyer's Guide

Extended Detection and Response (XDR)

October 2026

Download the complete report

Helped 921,338 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Cortex XDR by Palo Alto Net...

Featured Reviews

ABHISHEK_SINGH

Senior Process Expert at A.P. Moller - Maersk

Gained full visibility and streamlined threat detection through behavior-based insights and AI integration

Initially, we got to have a lot of false positives when we onboarded, but nowadays it's quite smooth. We have fine-tuned our security policies and allowed different levels of policies to get rid of those false positives. Currently, we are getting a fairly good amount of incidents that are not false positives or benign, but actionable items. The process is streamlined. In the initial days, the operations used to get involved in a lot of benign and other activities, but now the process is streamlined. We are leveraging the auto-detection and remediation plans. The operations teams are now more involved in other business roles as well, not just looking into the logs and fetching out what's happening there. They have fixed a lot of things. Initially, they didn't have IAC code drift detection, cloud posture management, or security posture management, but they have those now. They purchased different vendors and did a merger with that. They have now Prisma Cloud that gets integrated and now they are working with Cortex Cloud. Everything that was negative has now been addressed, and the product altogether looks to be in a very better and mature shape now. Currently, it's more or less detecting the workloads with AI-based best practices. Since most organizations are consuming AI agents and other things, we are looking forward to seeing what other feature enhancements Palo Alto can support in that.

Read full review

Venda E

Cloud Option Engineer at a tech vendor with 10,001+ employees

Behavior analytics has improved insider threat detection and reduces false positives for our team

The best features LogRhythm UEBA [EOL] offers are its behavioral balancing, baselining, risk scoring, and correlation with SIEM events, and what stands out most is risk scoring, which gives clear visibility into which user behaviors are genuinely risky and helps our team to focus on the highest priority threats without drowning in noise. Risk scoring helps us to quickly identify which users' activity needs immediate attention by clearly ranking threats based on impact and likelihood; it changes our day-to-day operations by reducing time spent on low-risk alerts and allowing the team to prioritize investigations and response actions more effectively and consistently. LogRhythm UEBA [EOL] has positively impacted our organization by improving our ability to detect insider threats and compromised accounts earlier, resulting in better security visibility, reduced false positives, and faster investigations and response times, which helped the team operate more effectively with greater confidence. I observed a noticeable reduction in false positive alert volume, which shortened the investigation time per incident, improving the mean time to detect and respond, and helping identify high-risk user activities earlier, which prevented potential security incidents from escalating.

Read full review

reviewer2783214

Strategic RAN Lead | Network Transformation & Optimization | Philippines & South Africa at a tech vendor with 10,001+ employees

AI‑driven threat detection has transformed alert fatigue and now enables faster response and leaner soc operations

The best features of Vectra AI are related to AI. For the NDR part, Attack Signal Intelligence features were mainly responsible for behavior AI, high-fidelity signaling, and prioritization. These features were great for anomaly detection and behavioral-based detection, able to catch zero-day attacks and living-off-the-land attacks. For high-fidelity signaling, it automatically triaged, filtered, and correlated signals, which dramatically reduced alert fatigue noise on the customer side by approximately 80% and eliminated alert fatigue on the SOC teams. Regarding the identity detection and response IDR solution, it monitored Active Directory and Entra ID for any attacks, allowing the SOC to detect any compromised credentials. Alert noise was dramatically reduced by nearly 80%, allowing SOC analysts to focus more on true threats, which made them more productive and resulted in higher operational efficiency. Attack Signal Intelligence helped reduce irrelevant alerts by 80% to 90%, with metrics showing a 100-plus reduction in investigation workloads and roughly saving about 55,000 hours of investigation time. Investigation time has decreased significantly, empowering analysts with detection and advanced unknown threats that Vectra AI provided. Its knowledge base and database are very up to date, allowing for spotting zero-day attacks with full visibility and helping to stop attacks in minutes. Vectra AI has reduced the MTTD and MTTR, increasing operational and process efficiency, and has helped reduce the number of SOC analysts that needed to be hired. Thanks to the AI features, the number of employees and SOC analysts hired has been reduced.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The biggest positive impact I see from Cortex XDR by Palo Alto Networks is a significant reduction in the number of people required to manage it."

"It is a simple platform to use."

"If the user leaves our premises or network, Palo Alto Traps will still be on that endpoint and will still apply our policies."

"It's a nice product that's stable and scalable."

"The ability to kind of stitch everything together and see the actual complete picture is very useful. I guess you'd call it a playbook. Some people call it the forensics analysis of what was happening on particular endpoints when they detected some malicious behavior, and what transpired before that to cause that. It is also very user friendly. The way they have done everything and integrated all the solutions that they've purchased over the years to make it a very seamless, effective product is very good. One thing about Palo Alto is that they take the products or services that they purchase and make them seamless for the end user as compared to some companies that purchase other companies and then just kind of have their products off to the side or keep different interfaces. Palo Alto doesn't do that."

"The solution's most valuable feature is the user interface."

"The best feature of Cortex XDR by Palo Alto Networks is that it collects logs from different sections such as the endpoint, the network, and the cloud, making it easy to investigate alerts, collect some of the investigation packages related to the infected machines, and provide live response."

"This software helps us understand any issues that may arise when someone is not at work."

More Cortex XDR by Palo Alto Networks pros

"The solution is useful for privilege accounts and super admin accounts. It is beneficial from a security perspective. The tool uses machine learning rather than threshold-based alerts. For instance, it can detect unusual user logins, such as a user logging in from a new browser or location."

"What I like most about LogRhythm UEBA is that it allows you to identify and analyze end-user behaviors and suspicious activities within the systems."

"Licensing is on a yearly basis, and it's not expensive compared to its competitors."

"LogRhythm UEBA’s best feature is the dashboard. It provides several graphs, charts, and event logs."

"The capability of pinpointing specific cyber incidents is a valuable feature for us."

"Overall, this is a really good product and I recommend it."

"I typically use the product for reducing cyber risk, and I can investigate attacks more quickly using machine learning tools."

"It has a lot of features. It has file integration monitoring."

More LogRhythm UEBA [EOL] pros

"It gives you access, with Recall, to instant visibility into your network through something like a SIEM solution. For us, being able to correlate all of this network data without having to manage it, has provided immediate value. It gives us the ability to really work on the stuff where I and my team have expertise, instead of having to manage a SIEM solution..."

"If I look at the value I can extract from every Euro that I spend on Vectra, and compare it to every Euro I spend on other solutions, the return on investment on Vectra is way better."

"The solution provide visibility into behaviors across the full lifecycle of an attack in our network, beyond just the Internet gateway. It makes our security operations much more effective because we are now looking not just at traffic on the border, but we're looking at east-west internal traffic. Now, not only will we see if an exploit kit is being downloaded, but we would be able to see then if that exploit kit was then laterally distributed into our environment."

"Vectra AI enables you to see more; it is their visibility strength that makes the platform so great."

"Cognito Streams gives you a detailed view of what happens in the network in the form of rich metadata. It is just a super easy way to capture network traffic for important protocols, giving us an advantage. This is very helpful on a day-to-day basis."

"Vectra AI offers artificial intelligence capabilities with visibility that can be integrated into our day-to-day operations and other tools, including malware detection tools and cyber threat tools."

"Vectra was the only tool that picked up almost all the red team penetration activities, helped us detect threats in their initial recon phase before they caused damage, and has significantly reduced the time it takes us to respond to attacks."

"I like the way that Vectra AI focuses on the internal network. Nowadays, most of the attackers are already inside, and they can be inside for many years before they start attacking. With normal monitoring, it's quite difficult to find them."

More Vectra AI pros

Cons

"If you compare it to SentinelOne, which has more functionalities and detection capabilities on an open platform, the pricing on SentinelOne is far more reasonable and cheaper than Cortex XDR by Palo Alto Networks."

"Cortex XDR by Palo Alto Networks could improve its user interface, which is more complicated compared to competitors such as SentinelOne."

"Dashboards do not allow everyone to see what's happening."

"To jump from the partner to Palo Alto directly was challenging."

"A little bit more automation would be nice."

"Palo Alto Networks Cortex XDR does not detect malicious activity like in other anti-virus solutions like Trend Micro and Windows with Cisco."

"The solution should offer more dashboards and they should be better customized."

"Cortex XDR could be improved with more GUI features."

More Cortex XDR by Palo Alto Networks cons

"The product should improve its dashboards. Splunk has neat dashboards. Additionally, we would like to enhance the use cases provided by LogRhythm as its use case library is not as extensive as other tools. Its machine-learning capabilities need to improve when compared to other solutions. It lacks risk quantification in a single, transparent view for individuals such as CSOs."

"It would be helpful if there were more guidance provided for integrating with unsupported devices."

"We're now exploring the cloud version but unfortunately we've found that they are lagging in that space."

"The solution is very expensive. There are also costs beyond the standard licensing fee."

"The cloud version is lacking and not up to par."

"The only problem is that the agents consume too much memory and system resources; the memory and resource consumption is high."

"LogRhythm UEBA [EOL] could be improved with more flexible tuning options and clearer model transparency to better understand why certain behaviors are flagged; enhanced integrations with additional data sources and more intuitive dashboards would also help improve usability and investigation efficiency."

"It should have better mitigation with other solutions and be tightly integrated with other solutions. It has to be improved."

More LogRhythm UEBA [EOL] cons

"One of the things that we are missing a bit is the capability to add our own rules to it. At the moment, the tech engine does its thing, but we have some cool ideas to make additional rules. There should be an option in the platform to add custom rules, or there should be some kind of user group where we can suggest them for the roadmap and see if they get evaluated and get transparent communication on whether they will be implemented in the product or not."

"In comparison with a lot of systems I used in the past, the false positives are really a burden because they are taking a lot of time at this moment."

"We had another product with Vectra AI and used the MDR solution as an add-on. Initially, it wasn't fully appropriately configured, so we didn't get the expected results. Even once configured correctly, we weren't fully satisfied with its response. The issue was both with their service response and the product's capabilities."

"Some of the customization could be improved. Everything is provided for you as an easy solution to use, but working with it and doing specific development could be worked on a bit more in the scope of an incident response team."

"The solution has not reduced the security analyst workload in our organization because we still need to SIEM."

"If you hit a certain number of rules, triage filters, or groups, the UX responds more slowly. However, we have a complex network and a lot of rules. So, our setup might not be a typical implementation example. We even had UX engineers onsite, and they looked at issues, improvements, and user feedback. Since then, it has gotten a lot better, they even built in features that we specifically requested for our company."

"The solution's marketing is not good."

"We would like to see more information with the syslogs. The syslogs that they send to our SIEM are a bit short compared to what you can see. It would be helpful if they send us more data that we can incorporate into our SIEM, then can correlate with other events."

More Vectra AI cons

Pricing and Cost Advice

"Cortex XDR by Palo Alto Networks is an expensive solution."

"When we first bought it, it was a bit expensive, but it was worth it. The licensing was straightforward."

"Our license will require renewal in August, after which the maintenance will continue as usual."

"We didn't have to pay any additional fee for the cloud instance. It just came with the renewal, which was nice."

"This is an expensive solution."

"Cortex XDR’s pricing is very reasonable."

"Very costly product."

"The solution has one subscription for endpoint protection and one subscription for detection and response. The two licenses combined give you the BRO version."

More Cortex XDR by Palo Alto Networks pricing and cost advice

"I rate the product's pricing a three out of ten. However, the cloud version is expensive. You need to hire professional services for deployment and migrations, which can be expensive."

"The pricing is nice when compared to other products in the industry."

"Licensing is on a yearly basis. It's not expensive compared to its competitors."

"It is quite a budget-friendly product."

"As LogRhythm UEBA is pretty expensive, I'd give its pricing a seven out of ten."

"The solution is low-cost and affordable."

"Its cost is too much. It's an investment that we can afford. It's a lot, but it's worth it."

"We are running at about 90,000 pounds per year. The solution is a licensed cost. The hardware that they gave us was pretty much next to nothing. It is the license that we're paying for."

"Vectra's licensing model could scale to our research network, which has multiple, 100-gigabit links."

"Their licensing model is antiquated. I'm not a fan of their licensing model. We have to pay for licensing based on four different things. You have to pay based on the number of unique IPs, the number of logs that we send through Recall and Stream, and the size of our environment. They need to simplify their licensing down to just one thing. It should be based on the amount of data, the number of devices, or something else, but there should be just one thing for everything. That's what they need to base their licensing on. Cost-wise, they're not cheap. They were definitely the most expensive option, but you get what you pay for. They're not the cheapest option."

"The pricing and licensing are quite straightforward because they're based on the IP licenses. As a result, they are easy to count."

"At the time of purchase, we found the pricing acceptable. We had an urgency to get something in place because we had a minor breach that occurred at the tail end of 2016 to the beginning of 2017. This indicated we had a lack of ability to detect things on the network. Hence, why we moved quickly to get into the tool in place. We found things like Bitcoin mining and botnets which we closed quickly. In that regard, it was worth the money."

"The upfront pricing model that we have would have been more beneficial if it had been a recurring license fee, but that wasn't a massive issue for us. It's fairly priced."

More Vectra AI pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Extended Detection and Response (XDR) solutions are best for your needs.

See recommendations

921,338 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Comms Service Provider

14%

Outsourcing Company

12%

Construction Company

10%

Manufacturing Company

10%

Comms Service Provider

12%

Retailer

11%

Outsourcing Company

10%

Construction Company

10%

Financial Services Firm

10%

Manufacturing Company

Comms Service Provider

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	50
Midsize Enterprise	21
Large Enterprise	57

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	4
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	10
Large Enterprise	29

Questions from the Community

Cortex XDR by Palo Alto vs. Sentinel One

Cortex XDR by Palo Alto vs. SentinelOne SentinelOne offers very detailed specifics with regard to risks or attacks. ...

See all answers

Comparing CrowdStrike Falcon to Cortex XDR (Palo Alto)

Cortex XDR by Palo Alto vs. CrowdStrike Falcon Both Cortex XDR and Crowd Strike Falcon offer cloud-based solutions th...

See all answers

How is Cortex XDR compared with Microsoft Defender?

Microsoft Defender for Endpoint is a cloud-delivered endpoint security solution. The tool reduces the attack surface,...

See all answers

What needs improvement with LogRhythm UserXDR?

In general, if something needs to be improved in the algorithm, it would be the dashboards. The dashboards with solut...

See all answers

What is your primary use case for LogRhythm UserXDR?

I typically use the product for reducing cyber risk, and I can investigate attacks more quickly using machine learnin...

See all answers

What advice do you have for others considering LogRhythm UserXDR?

I would not necessarily recommend LogRhythm due to its complexity and lack of modularity. I would always recommend Sp...

See all answers

What is your experience regarding pricing and costs for Vectra AI?

I find the pricing of Vectra AI to be one of the best we have seen as feedback from customers and partners indicates ...

See all answers

What needs improvement with Vectra AI?

I think one area that could be improved about Vectra AI is their marketing. One of the aspects that Darktrace excels ...

See all answers

What is your primary use case for Vectra AI?

I primarily use Vectra AI for customers, and I only provide Vectra AI.

See all answers

Comparisons

Microsoft Defender for Endpoint vs Cortex XDR by Palo Alto Networks

Compared 16% of the time

SentinelOne Singularity Endpoint vs Cortex XDR by Palo Alto Networks

Compared 5% of the time

CrowdStrike Falcon vs Cortex XDR by Palo Alto Networks

Compared 4% of the time

Symantec Endpoint Security vs Cortex XDR by Palo Alto Networks

Compared 3% of the time

Cortex XSIAM vs Cortex XDR by Palo Alto Networks

Compared 3% of the time

More Cortex XDR by Palo Alto Networks Competitors

IBM Security QRadar vs LogRhythm UEBA [EOL]

Compared 7% of the time

IBM Security Network IPS vs LogRhythm UEBA [EOL]

Compared 4% of the time

Varonis Platform vs LogRhythm UEBA [EOL]

Compared 4% of the time

Darktrace vs LogRhythm UEBA [EOL]

Compared 4% of the time

Aruba IntroSpect vs LogRhythm UEBA [EOL]

Compared 3% of the time

More LogRhythm UEBA [EOL] Competitors

Darktrace vs Vectra AI

Compared 11% of the time

Rapid7 InsightIDR vs Vectra AI

Compared 4% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 4% of the time

ExtraHop Reveal(x) 360 vs Vectra AI

Compared 4% of the time

Proofpoint Identity Threat Defense vs Vectra AI

Compared 3% of the time

More Vectra AI Competitors

Product Reports

Buyer's Guide

Cortex XDR by Palo Alto Networks

November 2026

Download Cortex XDR by Palo Alto Networks product report

Buyer's Guide

LogRhythm UEBA [EOL]

October 2026

Download LogRhythm UEBA [EOL] product report

Buyer's Guide

Vectra AI

October 2026

Download Vectra AI product report

Also Known As

Cyvera, Cortex XDR, Palo Alto Networks Traps

LogRhythm UserXDR, LogRhythm Enterprise UEBA

Vectra Networks, Vectra AI NDR

Overview

Cortex XDR by Palo Alto Networks provides advanced threat detection with AI-driven endpoint protection and seamless integration, ensuring multi-layered security and automatic threat response.

Cortex XDR is designed to safeguard endpoints against malware and suspicious activities. It offers advanced threat detection and response capabilities using behavioral analysis, AI, and machine learning. It seamlessly integrates with security infrastructures, providing endpoint security, firewall integration, and enhanced visibility in both cloud-based and on-premises environments.

What are the key features of Cortex XDR?

Advanced Threat Detection: Uses AI and machine learning for proactive threat identification.
Multi-layered Security: Combines various security measures for comprehensive protection.
Endpoint Protection: Safeguards against malware and exploits.
Behavioral Analysis: Monitors suspicious activity for early detection.
Automatic Threat Response: Automates responses to neutralize threats.

What benefits should users expect?

Ease of Use: Simplifies security management with intuitive design.
Resource Efficiency: Minimizes impact on system resources.
Integration Capabilities: Works well with existing security setups.
Reduced Analyst Workload: Automates processes to decrease manual intervention.

Organizations in diverse sectors deploy Cortex XDR to protect against malware, leveraging its advanced threat detection capabilities. Its integration with existing security infrastructures appeals to those seeking comprehensive protection in both cloud and on-premises environments, providing enhanced visibility and threat intelligence.

Palo Alto Networks

LogRhythm UEBA [EOL] offers advanced threat detection with an intuitive interface, utilizing correlation, behavior analysis, and machine learning to monitor server threats and privileged accounts effectively.

LogRhythm UEBA [EOL] provides comprehensive user behavior analytics and threat hunting capabilities, making use of customizable dashboards, reporting tools, file and registry monitoring. CloudAI adds depth by identifying unknown activities, enhancing network visibility and cyber risk reduction through constant monitoring. Users in Sri Lanka find it valuable for network stability, while other users leverage it for improved user monitoring and quick attack investigation. Despite its strong features, enhancements in integration, pricing in Asia, and documentation could improve its adoption.

What are the key features of LogRhythm UEBA [EOL]?

Intuitive Graphical Interface: Provides a user-friendly experience tailored to cybersecurity needs.
Customizable Dashboards: Offers personalized monitoring views and reporting capabilities.
Effective Reporting Tools: Enhances incident analysis and decision-making with detailed insights.
Machine Learning: Identifies patterns in user behavior, detecting anomalies efficiently.
CloudAI: Detects unknown activities, improving threat identification accuracy.

What benefits can users expect from LogRhythm UEBA [EOL]?

Enhanced Threat Detection: Increases network safety through comprehensive monitoring.
Improved Network Visibility: Facilitates better management of cybersecurity resources.
Quick Attack Investigation: Reduces time to detect and respond to threats.
Cyber Risk Reduction: Employs machine learning to address potential security gaps proactively.

In the financial sector, LogRhythm UEBA [EOL] is implemented to monitor privileged accounts and identify suspicious transactions swiftly. Healthcare organizations use it to safeguard sensitive patient data through behavior analysis. Manufacturing firms apply it to protect intellectual property and ensure compliance with industry regulations. Across these industries, the adaptability and analytics of LogRhythm UEBA [EOL] offer a strategic approach to cybersecurity management.

Exabeam

Vectra AI offers advanced hybrid network and identity security, detecting threats traditional tools miss. It uses AI to identify lateral attacks and credential misuse, providing a proactive defense for enterprises.

Vectra AI enhances security by using AI-driven detection across network, cloud, and identity layers, surpassing EDR and SIEMs by offering real-time threat detection. It ensures continuous observability and automates SOC workflows to minimize manual efforts, creating an efficient security environment. Its AI-powered approach significantly reduces noise, focusing on true threats, and provides insights into complex threat landscapes, with seamless integration into environments like EDR and Office 365.

What are Vectra AI's key features?

AI-driven detection: Identifies lateral movement and credential misuse across networks.
Continuous observability: Monitors data centers, cloud, SaaS, and OT environments.
SOC automation: Reduces manual processes, lowering analyst fatigue.
Attack Signal Intelligence: Filters noise to deliver relevant alerts quickly.
Network visibility: Provides insight into encrypted traffic and unmanaged assets.

What benefits should users expect?

Improved threat detection: Faster identification of potential threats.
Efficiency in response: Automated processes free resources for high-impact tasks.
Reduced alert fatigue: Intelligent alerts reduce false positives.
Operational integration: Works seamlessly with existing platforms and tools.

Vectra AI is utilized across industries for comprehensive network and anomaly detection. Organizations deploy it for threat hunting and incident response, monitoring both on-premises and cloud activities. By placing sensors across sites, they optimize security practices and streamline their detection processes.

Vectra AI

Sample Customers

CBI Health Group, University Honda, VakifBank

Information Not Available

Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association

Buyer's Guide

Extended Detection and Response (XDR)

October 2026

Download Free Report

Find out what your peers are saying about SentinelOne, TrendAI, Palo Alto Networks and others in Extended Detection and Response (XDR). Updated: October 2026.

DOWNLOAD NOW

921,338 professionals have used our research since 2012.

See our list of best Extended Detection and Response (XDR) vendors.

We monitor all Extended Detection and Response (XDR) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.