TrendAI Vision One is a unified platform and single dashboard where all endpoints, email servers, clouds, and networks are in one place. It provides AI detection and AI-based threat detection. Any abnormality or abnormal behavior of any server or endpoint is caught, and it predicts security in a proactive mode. It correlates across all endpoints, email, network, and cloud to give the full attack story: how the attack happened, what is the location of the attack, and how we can prevent that attack.

I am using TrendAI Vision One on all our servers with three main components: servers, endpoints, and email security. The unified visibility where one dashboard provides access is one of the best features. The AI-based threat detection model is the best feature, and the attack surface visibility where it discovers external assets and shadow IT is the best part.

TrendAI Vision One sensors are basically the data collectors that capture different parts of the IT environment. If there are no sensors, there will be no visibility. Sensors are the eyes and ears of TrendAI Vision One. They are used to collect logs, abnormal behavior, email activity, and network activity. The system correlates everything, detects the attack, and sends alerts to the SOC so we can work effectively. We have endpoint sensors that are installed on laptops and servers.

One of the biggest challenges nowadays is ransomware attacks, which are the most common and damaging threat. Attackers encrypt data and steal it. With the help of TrendAI Vision One, it reduces the data leak risk from our environment. The second main challenge is phishing and social engineering attacks. Technology is growing fast, so phishing and social engineering attacks are more common. The third main challenge is identity and access compromise, where attacks target our active directory, which is the backbone of the industry. If any of the identities are compromised, an attacker can get full access. TrendAI Vision One is helping us prevent that attack. These are the three top challenges that every organization has to face, and TrendAI Vision One is resolving these kinds of issues on a daily basis.

The cyber risk management capability is used in our organization to identify and prioritize cybersecurity risks in a structured way. There are multiple capabilities under that. First, we need to identify the risk and understand what are all the possible risks we have, what are the vulnerabilities, misconfigurations, threats, and asset exposures. The second main thing is asset visibility, which is very important because we should know what type of asset visibility we have. The third main point is risk assessment, which evaluates the impact and likelihood. For example, if something is down and it is of high importance, it will be marked as a high impact. The fourth stage is risk prioritization, which prioritizes the risk and identifies what are the critical assets and what are the high-end critical vulnerabilities. Every risk has its own weightage. Some are critical, some are high, some are low. This helps us to prioritize risk. And then, of course, comes risk mitigation. Once we find the risk, for example, if something is high-end and critical, the last step is to mitigate it. This includes patching vulnerabilities, fixing misconfiguration things, strengthening our hardening controls, and applying security tools to that. And then, we go back to the first step, continuous monitoring. The next day we will start to find new zero-day attacks, new threats, and new external risks.

TrendAI Vision One, which we are using on all our servers, is the most valuable feature. We are using three things: servers, endpoints, and TrendAI Vision One's email security. The unified visibility where one dashboard is one of the best features. The AI-based threat detection model is the best feature, and the attack surface visibility where it discovers external assets and shadow IT is the best part.

My overall experience with TrendAI Vision One is very good. We discuss it every week in our leadership discussions. Overall, this platform is very mature. It is a unified XDR platform that improves the threat visibility part and the correlation part across the enterprise. The best part is it has strong XDR correlation. It has centralized visibility with one dashboard that contains all the information: all our risk posture, all our assets, and all our threats. The AI-driven technology, the AI-driven detection, and the scoring part are very good, as is the broad coverage they provide.

Alert noise and false positives are areas that should be improved. The initial deployment generates too many alerts, so we need better AI filtering and more accurate prioritization. Also, the integration complexity can be an issue. Sometimes, integrating TrendAI Vision One with our SIEM tool or other cloud platforms can be time-consuming. Some improvements should be made there. They need to make easier, plug-and-play integrations and provide better documentation.

One feature is SOAR (Security Orchestration, Automation and Response), which is an automated response engine. Currently, they have partial automation. If there is an auto-containment feature for endpoints, users, and the network, or if there are many pre-built playbooks for ransomware, phishing, and insider threats, it would be beneficial. For example, we just need to one-click and auto-remediation is done. That is the feature I am looking for. This would be used to help us detect, investigate, and respond automatically.

We have been using TrendAI Vision One for the last two years, and we recently renewed it as well.

We purchased TrendAI Vision One for all our servers. The basics are simple. We signed up, logged in, and provided access to our cloud console. Then, the step-by-step onboarding process started where we had an endpoint agent deployment for each machine. We downloaded the agent and installed it on each machine. Then the migration from the existing solution started. For the deployment part, we use one tool named ManageEngine's ITSM tool, from where we can write a script for that agent and have a mass deployment.

Regarding cost and licensing transparency, we are using a credit-based model. We have a certain number of credits that we are using. The pricing is mild. They could make simpler pricing for better usage visibility, but I am okay with the pricing because we are getting good quality. I would not say it is a high price because we are getting a good product.

TrendAI Vision One is a powerful XDR platform. However, it requires proper tuning and proper integration. If we have done proper tuning and proper integration with all our servers, endpoints, and cloud platforms, it will give very good, accurate results.

From false positive to true positive, the percentage is almost 60% to 70%, approximately 65%. However, it needs proper tuning every week. We have to tune the policies every week so that we can get better visibility and accuracy.

Regarding mean time to detect, TrendAI Vision One definitely helps. It reduces the mean time to detect compared to traditional tools. It basically detects threats in real time. Real-time detection means it uses AI analytics, global threat intelligence, and correlation signals across all endpoints. Threats are detected almost immediately once any suspicious or malicious activity is observed. It reduces the time to detect by almost 60%.

TrendAI Vision One is a powerful and mature XDR tool. Of course, every tool has room to improve. But for us right now, it is a good tool. There are a number of tools, and every tool has its own capability and its own visibility. This tool is a very good, powerful tool. My overall rating for this solution is nine out of ten.

As a reseller for the Trend Micro solution, I also consult for the product, as we are a reseller cum consultant. TrendAI Vision One is a platform that supports multiple solutions, including endpoint security solution, identity security solution, email security solution, and network security solution.

In the past few months, I have worked on around twelve to fifteen use cases for Trend Micro's solutions, including endpoint security with web security and zero-trust secure access. I have also provided a cloud security module as a separate use case for a customer, and I have predominantly worked on other use cases such as IPS, TippingPoint, and intrusion prevention systems within the TrendAI Vision One console.

The major advantages of TrendAI Vision One are its good visibility across our infrastructure, providing detailed visibility on emails within TrendAI Vision One Email Security, including how many emails are received by mail servers on a daily, weekly, and hourly basis.

The second advantage is that since TrendAI Vision One is a single platform, it offers surface attack surface monitoring, allowing me to monitor different types of end nodes, such as servers, mailboxes, and users, which enhances incident response and investigation activities.

Cyber Risk Exposure Management (CREM) in TrendAI Vision One is one of the best functionalities, as it helps identify blind spots by discovering resources in multiple environments, such as on-premises data centers and various cloud platforms including Google Cloud Platform and Azure.

Switching to TrendAI Vision One has improved the security posture and endpoint security deployments by around twenty percent compared to the previous vendor.

The ability of TrendAI Vision One to reduce time to detect and respond to threats can be improved. To identify and detect sophisticated attacks effectively, I need a better detection rate and minimal time to respond.

While the major area for improvement in TrendAI Vision One is the time to detect and respond, apart from that, it is actually good, with great visibility and functionalities.

I have not yet examined whether TrendAI Vision One helps to consolidate the use of security vendors and reduce silos, but I believe it may have a partial silos working model as there are certain isolations that happen.

At this stage, we are not utilizing the full potential of AI in TrendAI Vision One, as we have not gathered sufficient feedback on its performance.

I have been working with Trend Micro for the past six to seven years, and the whole company actually evolved from Trend Micro to TrendAI. TrendAI Vision One has evolved in recent months.

Stability and reliability in TrendAI Vision One can be improved, but I would rate it as good, around a seven out of ten. I have faced issues, especially regarding stability, and while improvements have been made, I cannot say it is perfectly stable.

In terms of scalability, TrendAI Vision One is scalable based on license purchases, but it does have some limitations, as it is credit-based licensing to an extent.

I find that customer support from TrendAI has improved, and I would rate it around seven out of ten. Technical support is improving, but there is still potential to be better, particularly in their level of expertise.

TrendAI Vision One differs from Trend Micro Vision One in that key components have been integrated, but more or less, all other functionalities remain very similar.

The installation procedure for TrendAI Vision One is easy, but understanding the console can be quite complex.

In terms of ROI, TrendAI Vision One provides a better return on investment compared to Trend Micro, as it offers multiple solutions that yield more security and a better security posture compared to third-party solutions. I would say the ROI is around fifty to sixty percent better compared to other products.

Regarding the price, setup cost, and licensing, it is quite affordable and the pricing model has improved, making it better than before and not as expensive compared to other brands.

Comparing TrendAI Vision One to competitive vendors including SentinelOne, the detection rate is not that bad, and while there are other vendors with better detection rates, the key selling point of Trend Micro is that it is a platform offering multiple solutions, including third-party integrations, which is unique compared to other vendors.

According to the MITRE framework, the detection rate of TrendAI Vision One is around eighty-four percent.

Regarding false positives, they are common with every other solution, but the generation of false positives heavily depends on the configuration. The purpose of the product is to alert the admin team whenever a suspicious process is triggered, and whether it is generating too much noise is based on how it is configured.

TrendAI Vision One sensors are indeed critical for coverage in our organization's network, but some customers have complained about bandwidth usage; however, I believe it does not consume excessive bandwidth when configured properly.

I would rate TrendAI Vision One around eight to eight point five, possibly even nine, in overall satisfaction.

We are currently working with Trend Micro as a partner, managing multiple OEMs like Trend Micro and Trellix. TrendAI Vision One is a managed single centralized management console. We are using multiple Trend Micro products and managing them through TrendAI Vision One.

When customers use multiple security solutions in their environment such as email security, EPP, endpoint security, NDR, and data security posture management (DSPM), we manage everything through TrendAI Vision One console for Trend Micro products, while integrating with third-party security tools such as firewalls and Microsoft to capture telemetry and metadata from both sides. TrendAI Vision One then correlates this data and shows us the observed attack techniques, along with options for sandboxing ransomware file samples through TrendAI Vision One.

TrendAI Vision One gathers risk management information such as risk scores at the OS level, account level, and domain level through the endpoint agent that monitors all machines for vulnerabilities. The CREM shows us vulnerabilities at the OS level, application level, and cloud application level while highlighting how we will remediate and mitigate loopholes in our environment or customer environment.

TrendAI Vision One also helps us with consolidated management, but there is a need for improvement if the customer has multiple branches and their IT admin is location-wise. We require location-wise console segregation in TrendAI Vision One, but there are gaps in policy management that hinder that, as all branch IT admins see all policies in the console despite needing to segregate them by location.

There are support challenges when we are using TrendAI Vision One console. If a customer needs a remote session with support, they generate multiple queries and logs, which we escalate to Trend Micro management for remote support, and aligning with remote support becomes a significant challenge.

When dealing with 10,000 users of EPP with the XDR solution, there are complication issues due to the agent size being between 500 and 700 MB, which hampers our ability for mass deployment through Active Directory. We do use hybrid solutions and cloud solutions in TrendAI Vision One, and face challenges only with mass deployment regarding sizing.

We have been using TrendAI Vision One for over four years.

There are no glitches, and TrendAI Vision One is scalable and stable.

We are not currently facing any risks as TrendAI Vision One platform manages multiple Trend Micro products within a single management console.

Support is low. When we raise a ticket for P0 or P1, the response tends to be quite late.

We are working with Trend Micro, CrowdStrike, and Trellix.

After sharing Trend Micro pricing with the customer and understanding their budget, we chase the Trend Micro OEM sales person to reduce the price given the budget that the customer has, and hopefully Trend Micro sales representatives manage and close these deals.

In terms of price and technical solution, the security solutions provided by TrendAI Vision One stand out as the best offering. Time to action for delete and quarantine is crucial, and it is approximately ten percent.

We are not experiencing any noise on their side, and thus TrendAI Vision One solution is working smoothly in multiple organizations, which helps us reduce attack risks. The overall review rating for this solution is eight out of ten.

TrendAI Vision One is used for XDR.

TrendAI Vision One is more limited, but the strong part is its minimalist design, allowing you to know the most important information about the incident. This is the strong point.

TrendAI Vision One helps consolidate security software across hybrid environments, and I think it is useful, especially when integrated with another tool for some clients. It is so useful to get a first analysis or to get some CUs with TrendAI Vision One, so it helps.

The solution saves time approximately by 80 to 90 percent; it is very simple.

To provide centralized visibility and management across various protection layers could be better. I would add different interfaces as I really appreciate how CrowdStrike manages the datasets. An interface where you can select the different events that happened in the incident would be beneficial because in TrendAI Vision One the information is very basic; you get all the information raw in a column, which I would improve by adding an advanced search feature similar to CrowdStrike where events can be filtered. This would make the analysis better for the client who is receiving the information.

TrendAI Vision One has room for improvement regarding different interfaces, specifically similar to the Event Simple part of CrowdStrike where you can identify what happened. It would be helpful to have an integrated identity module, because sometimes I want to see who executed an incident, such as a PowerShell command, to know if it was an admin or the local user of the machine. If I cannot see that, I do not know anything. Integrating the identity module would be beneficial.

I have been working with TrendAI Vision One for one year and a half.

I rate the stability of TrendAI Vision One as a ten because I did not have any problems with it.

The scalability of TrendAI Vision One would be around a six; it is appropriate for smaller companies, but for bigger ones such as Nike, I would say it would not fit as well.

Using TrendAI Vision One has reduced the time to detect and respond by approximately 20 percent up to 80 percent; the strong point is that it is simple, making it fast and easy to learn.

When an incident appears in TrendAI Vision One, I open it and on the first page, you get to see the timeline of where all the different assets appear, including the host and other information. It is helpful because you get directly all the information by taking a look at the host involved. For example, if it is a server and you see SSH commands, it may fit with your conclusion. After that, I open the XDR part where you see in raw form all the different information. Finally, I can use the XDR view where you can filter using their raw SQL language to filter all the different incidents, for example, by endpoint GUID, something I usually use.

The risk reduction from using TrendAI Vision One depends on various factors. If I only get to use TrendAI Vision One and not any other tools, I think it would be approximately 80 percent, because if you have normal incidents, it is helpful, making it easier for the team of the final client to read the information. However, for real incidents requiring forensics, if you have to activate forensics, I think you would have difficulties, so I would say around 80 percent.

The importance of AI built into TrendAI Vision One is relatively recent for me; it is helpful to have a direct verdict, but I prefer to make my manual verdict. I would say it is important at a level of five for me, but for some inexperienced analysts, it might be at a level of five or seven because they will rely on that.

TrendAI Vision One is more simple compared to other solutions, but it could be useful for controlled cases if you have a small enterprise where the same software is used, making it interesting for situations where you are familiar with specific CUs. In my opinion, it would be more interesting than Cortex for smaller incidents, while I would prefer Cortex for larger cases than false positives which will be better managed by TrendAI Vision One.

My clients may be less than average because TrendAI Vision One is not that widely used. I think it is getting used less, but perhaps with the AI update it will be used more. I would estimate around 5 to 10 clients, approximately half of my client base.

Learning TrendAI Vision One can take anywhere from two weeks to one month.

In my opinion, TrendAI Vision One gets the information easily, but it does not really help reduce false positives by itself; you have to do the final work. I would say it helps with false positives around 80 percent because in TrendAI Vision One, you can see the verdict, plus AI is assisting with it.

I would recommend TrendAI Vision One, telling potential users that it is very easy to use, but it would be useful to learn how to use SQL for deeper analysis of different modules, which is important. Knowing how to use the different modules that your client has integrated will make a significant difference.

My company is Kyndryl, and we work for a UK-based financial institution. That client, the financial institution, has TrendAI Vision One. By using TrendAI Vision One, we are monitoring and doing day-to-day tasks.

In this project, it is related to XDR, but there are many modules. Currently, they are using only HIDS and HIPS. There are many other modules available, but all the modules are based on the license, so they are using only a few of them.

Compared to my previous experience where I worked on some other EDR tools, TrendAI Vision One has many interesting features. There is one module called Cyber Risk Exposure. Inside Cyber Risk Exposure, there are multiple features such as risk overview, exposure overview, and attack overview. In these different overviews, we can easily monitor the overall cyber risk score at an organization level, identify where the loopholes are, and determine where we need to improve security. It monitors the device level, internet-facing assets, accounts, application level, and the cloud. It will show the overall risk based on the different components of the organization. This is a very cool feature for me.

Basically, each endpoint device has an agent called the TrendAI agent, similar to a CrowdStrike agent. The agent is monitoring two things: system events and security events. Based on the events, they are pulling the data at the console for the security team. We monitor if any unusual things happen, and then we have to react. The agent installed on endpoint devices is helping us monitor and do the work.

In a previous company, I used CrowdStrike. Compared to CrowdStrike, TrendAI Vision One is more advanced, I think. I have not used CrowdStrike for more than one year, and maybe they have updated some more features, but I do not remember. However, it has a very good feature, as I mentioned, Cyber Risk Exposure.

Actually, in Cyber Risk, if I want to see the device level and how many devices have some vulnerability, if I click the device, it will show the count. For example, it is showing that two, three, or four devices are detected with this kind of vulnerability. If the devices have Apache Log4j vulnerability or OGNL, then based on the operating system, if the device has Linux, I have to reach the platform team and say "Okay, this system has this kind of vulnerability, and you have to patch the thing" or update the software. From here, I cannot update anything or upgrade the agents. There is some dependency, you could say.

For deployment, I think it is easy and does not require much effort. I have not done the deployment myself, but for some point in time, for a few of the servers, we have done it, and it is easy and does not require much.

For this, it depends on two or three factors. First, we have to confirm why this alert got triggered and what is the IOC. For example, if it is some private IP, then I have to reach out to the different teams. In my case, I have to reach the vulnerability management team because they have Nessus and Qualys tools, which are vulnerability scanner tools. What they mostly do is they try to scan the particular server and devices, targeting the server. When the IP, let us say the Nessus IP, leads to a server, TrendAI Vision One tries to understand "Okay, I think someone is trying to recon this particular server. This is not a usual thing," so they generate the alert. I have to go through each and every alert, and based on whether the IP is private, I have to reach out to the VM team and other teams and try to confirm whether the IP is genuine or from somewhere else. After that, I have to fine-tune inside TrendAI Vision One, and then they will automatically reduce the false positives.

In my case, I can say that earlier we received many alerts related to recon alerts. If I closed and whitelisted two, three, or five IP addresses, the total has been reduced by approximately 40 percent. Earlier, we received more than 400 or 500 false positive alerts, but nowadays we receive hardly 10 or 15 alerts.

My client is not a small bank. I think it is one of the big banks in the UK, but I do not want to tell you the name. It is very big.

In TrendAI Vision One, there are many interesting features. There is one module called Cyber Risk Exposure. Inside Cyber Risk Exposure, there are multiple features such as risk overview, exposure overview, and attack overview. In these different overviews, we can easily monitor the overall cyber risk score at an organization level, identify where the loopholes are, and determine where we need to improve security. It monitors the device level, internet-facing assets, accounts, application level, and the cloud. It will show the overall risk based on the different components of the organization. This is a very cool feature for me.

They have another feature called Workbench inside the XDR. What Workbench does is that if you receive 100 alerts one day, the Workbench correlates all the alerts and tries to find similar ones. Then it generates one ID. Inside one ID, if 10 alerts are similar, it will consolidate all 10 alerts as one Workbench ID. Inside the Workbench ID, if I investigate and close the Workbench ID, on behalf of that Workbench ID, all 10 alerts will be closed automatically. There is no need to go through each and every alert one by one. This is also a very good feature inside TrendAI Vision One.

In terms of centralized visibility, I can say that it saves much more time. If for one thing I have to go through different tools, obviously I have to invest much more time for a single alert. But here, if one alert triggers, I can correlate with the help of different modules, which is nothing but easy for me.

There is also an inbuilt AI tool inside TrendAI Vision One. Sometimes if I get stuck somewhere during the investigation, I use this AI chatbot, which is known as a companion inside TrendAI Vision One. If I put a use case or ask "Okay, I am here, what do I have to do?" That companion, which is nothing but a chatbot, will go through whatever I put inside the chat, analyze it, and mention some steps. It will say "Okay, from here you can go" and "You can do these things." It is also a very good feature and it makes it easy for me.

As I mentioned, because of that one feature, Workbench ID inside the XDR module, it reduced much more time compared to other tools. But I cannot say a specific number. It is very difficult for me. However, it saves a lot of time. As I mentioned, if 10 alerts are received, in another tool, I have to go through each and every alert one by one. But here, they correlate the alerts based on whatever the IOCs are and why this alert got triggered. Based on the alert, they consolidate the alert. If all 10 alerts have a similar property, they consolidate and generate one ID, a Workbench ID, and they consider it as one. So if I investigate one and close it, all 10 will be closed automatically.

It is very nice and very helpful. It reduces the overall response time. It is very helpful. It is known as a companion, and that one chatbot is known as a companion inside TrendAI Vision One.

In TrendAI Vision One, a few days ago, there was one issue related to resource utilization at some servers. It was not clear whether the reason was the Trend agent or some other security agents such as Sentinel or something else. In this kind of situation, we get stuck. Then we have to reinstall and do all those things.

In Tanium, we have an advantage where even the security team from their end can update the patch. But in TrendAI Vision One, there are no features such as this. We have to depend on the platform team.

They could improve the support case experience because whenever we reach out to the support team, in response, they first put what I think are some ready-made templates, and they just put it as a reply. If I raise a case, they have some ready-made templates. This is my opinion and thought from following some different cases. They can improve here because they just simply reply with whatever they have. Then again, we have to mention more things, and after that, they reply with some genuine points. But initially, they just put some ready-made templates, I think. They can improve here.

I have been using this product for more than a year. In this project, it has been more than a year.

It is stable. I think it rates 9 or 10.

Regarding scalability, if we are talking about it, and if we currently have a thousand servers and increase the count, then we can test the scalability. As of now, I have not gone through it, so it is very hard for me to say much about the scalability.

I do not have that much level of access to other parts due to policy, and they are not using all other modules due to licensing limitations. I cannot say much more about other things because TrendAI Vision One has many modules.

In a previous company, I used CrowdStrike. Compared to CrowdStrike, TrendAI Vision One is more advanced, I think. I have not used CrowdStrike for more than one year, and maybe they have updated some more features.

For deployment, I think it is easy and does not require much effort.

You could say 5+. I started my career as a SOC analyst.

I have not used other products, but there is another product called Tanium, which I learned about. In Tanium, we have an advantage.

I need to note that the overall rating I would give this product is 7. It is not bad, but initially, they put some ready-made templates, which I do not like.

I do not know about other projects because here they segregate the team based on the project. I am working for the UK-based project, and some other people are working for the AU-based project. Different people worked in different countries. I do not have any other idea about other projects or whether they are using TrendAI Vision One or not. I cannot say anything.

Definitely, it requires maintenance. If agents are not compatible with particular devices, we have to reach the support team and take help from there, and then we have to upgrade and update based on the risk and compliance policy.

There are many other modules available, but all the modules are based on the license, and they are using only a few of them.