TrendAI™ Enterprise Security Solutions

My main use case for TrendAI Vision One is for incident triage and response management.

A specific example of how I use it for incident triage and response management is the elimination of collateral display and low log management from emails. This is how it helped.

The automated remediation triggers automated commitment actions, isolating infection of the endpoint. This is beneficial and helps significantly.

The best features TrendAI Vision One offers include the powerful threat hunting and AI security capabilities, among the top features mentioned. The AI security analysis allows input of plain language requests for effective endpoint command analysis. Threat hunting assists in identifying alerts. Additionally, real-time inspection of LLM interactions helps secure operations within private and public environments. The centralized Vision One console hosted in a cloud-native environment also contributes greatly by ensuring robust security coverage.

TrendAI Vision One can improve in control responsiveness, particularly in navigating through heavy analytics interfaces like workbench, where execution graphs can experience noticeable latency. This occurs during multi-complex layers correlation and high volume of queries load. Secondly, I suggest improving license and credit allocation transparency.

A deep ecosystem integration with deeper non-Trend native telemetry ingestion would help significantly.

I have used TrendAI Vision One for almost two years.

TrendAI Vision One is stable.

TrendAI Vision One's scalability is quite good; it benefits from cloud-native elasticity, which I use most often. The centralized Vision One console runs in the cloud-native environment, hosted on a public backbone like AWS and Azure. It is very easy for me to automatically scale based on log flow.

The customer support has been acceptable.

I previously used a different solution, Sophos, but it was too costly and very limited compared to TrendAI Vision One.

I have seen a return on investment financially, with up to a 79% reduction in security costs and a 70% faster incident investigation and response time.

My experience with pricing, setup cost, and licensing has been quite acceptable, especially with the flexibility of having a credit-based licensing architecture by using TrendFlex.

Before choosing TrendAI Vision One, I did not evaluate other options.

My advice to others looking into using TrendAI Vision One is to utilize the powered API connectors, link your SaaS with Office 365 and endpoint security, and evaluate it thoroughly before proceeding. I would rate this product a 10.

My main use case for TrendAI Vision One is security monitoring and threat detection. On a daily basis, I check alerts, investigate suspicious activities, and look into endpoint or network-related incidents. For example, if TrendAI Vision One detects unusual behavior on any endpoint, I review the alert's details, check the related process and activities, and we take the required action or escalate if it is needed.

The best features in TrendAI Vision One that stand out to me are endpoint detections and response, centralized visibility, and detailed alert investigation. I also appreciate the correlations of security events, which makes it easier and simpler to understand the full context of an incident, and it gives better ability to investigate endpoint activity and respond from one platform. This is very useful for our SOC environment.

TrendAI Vision One has positively impacted our organization by making our investigation workflow more efficient and providing better visibility into endpoint activity. We also have related alerts from one platform, which reduces the time spent switching between different tools, allowing me to investigate suspicious activity faster and easier while giving the team more context when deciding whether an incident needs escalation or not.

One area of TrendAI Vision One that could be improved is the alert investigation experience. Some alerts contain a lot of information, so having a simpler way to prioritize the most important details would make the investigation faster. I would also like to see more customization options for dashboards and alert filtering based on our SOC environment.

Better integration with other security tools, especially for teams using multiple SIEM and security platforms such as Wazuh and Splunk, would be useful for TrendAI Vision One. Reporting could also be more flexible, with customizable templates and options to create reports based on specific incidents, alert types, or time periods, making it easier to share investigation results with the wider team.

One smaller improvement I think would be beneficial for TrendAI Vision One is better notification and alert customization, providing more control over which alerts are prioritized or notified to the SOC team based on severity.

I have been using TrendAI Vision One for around one and a half years, utilizing it for security monitoring, investigating alerts, threat detections, and analyzing suspicious activity.

In my experience, TrendAI Vision One has been generally stable for day-to-day SOC operations. I have not personally seen any major or prolonged downtime that affected our organization. There can be occasional delays or minor issues with alert data or console performance, but overall, it has been reliable enough for regular monitoring and incident investigation.

TrendAI Vision One has scaled well with our environment so far. As the number of endpoints and servers increases, we are able to extend coverage without major changes to the SOC workflow. The centralized console also makes it easier to manage and investigate alerts across a large environment, and configuration and tuning become more important as the volume of alerts grows.

I have had limited direct interactions with TrendAI Vision One support since our internal team handles most day-to-day issues. When we needed assistance, the support team was responsive and helped with troubleshooting and product-related questions. Having clear documentation and timely technical guidance is very useful when we face an issue requiring vendor-level support.

Before TrendAI Vision One, we used a combination of endpoint security SIEM tools for monitoring and investigation. We switched to TrendAI Vision One because we wanted more centralized endpoint visibility and better correlation of security events while reducing the need to switch between multiple consoles during investigations. The different solutions we had to use in our environment are Wazuh and SentinelOne Singularity.

From my perspective, the biggest benefit of TrendAI Vision One has been time savings rather than directly reducing headcount or licensing costs. Having centralized visibility and better alert context makes triage and investigation quicker, allowing analysts to spend more time on genuine incidents instead of manually collecting information from different tools. The workflow efficiency has been noticeable, though I do not have a formal ROI figure.

I am not directly involved in commercial negotiations, so I do not have the exact pricing or setup cost for TrendAI Vision One. The licensing is managed by our organization, and from the operational side, deployment and access have been fairly straightforward. For a detailed cost comparison, I would need to rely on our procurement or management team.

Our organization evaluated a few endpoint security and XDR options before selecting TrendAI Vision One. The options included Microsoft Defender for Endpoint, CrowdStrike Falcon, and SentinelOne. The evaluation focused mainly on detection capabilities, endpoint visibility, integrations, investigation workflow, and how well the solution would fit with our existing SOC environment.

I rate TrendAI Vision One an eight out of ten.

I chose eight out of ten for TrendAI Vision One because it provides good visibility and makes alert investigation easier for our SOC environment. To make it a ten, I would want to see a more streamlined investigation experience, better customizations for dashboards and reporting, and strong integration with other security tools we use.

In my experience, the AI capabilities of TrendAI Vision One are useful for improving detections and investigation while security and access controls are important for keeping the environment protected. We also value having visibility into why an alert is being raised rather than relying only on AI-generated results. For our SOC workflow, keeping human review as part of the investigation is important.

From my experience, the AI output of TrendAI Vision One has been fairly consistent and useful for the initial investigation. It helps provide context about suspicious activities and prioritize alerts. However, we still validate the findings with available events and logs to the endpoints' details before taking action, since AI results should not be treated as the only source of truth.

We use TrendAI Vision One in a hybrid cloud setup, which gives us centralized visibility through the cloud platform while still allowing us to monitor and protect endpoints and infrastructure in our organization. This works well with our existing SOC environment and security tools.

The cloud provider we primarily use in our hybrid setup for TrendAI Vision One is Microsoft Azure, which is utilized alongside our existing cloud and on-premises security infrastructure, helping us maintain centralized visibility across both environments.

We have mainly used TrendAI Vision One sensors across endpoints and servers. They are deployed on employee workstations and critical servers to provide endpoint visibility and detect suspicious activity, while there is also some coverage for cloud workloads depending on our security environment requirements.

The coverage from TrendAI Vision One is quite critical for our organization because it provides visibility across endpoints and servers, helping us detect suspicious activity earlier and investigate incidents with more context. Without this visibility, some endpoint-level activity could be harder to identify and correlate with other security alerts.

Some of the top security challenges in our industry include phishing, malware, credential-based attacks, endpoint compromise, and the increasing number of security alerts our team needs to investigate. TrendAI Vision One helps us address these by providing endpoint visibility, detecting suspicious behavior, and correlating related activities, making it easier to identify real threats and investigate incidents with useful evidence.

My impression is that TrendAI Vision One provides good centralized visibility across different protection layers, especially endpoints, servers, and related security events. From a SOC perspective, it is very useful to have endpoint telemetry and detection information available in one platform instead of investigating everything separately, which helps us correlate events and understand the wider context of an incident to decide what needs escalation.

TrendAI Vision One has helped reduce silos to some extent by bringing endpoint detection, investigation data, and related security events into a more centralized view. From the SOC side, this means we do not always have to switch between multiple consoles to understand the same incident. We still use other security tools, but TrendAI Vision One helps us connect the information and provide a more complete scenario.

AI capabilities in TrendAI Vision One are quite important for our organization because the SOC team deals with a high volume of alerts every day. It helps us detect, correlate, and prioritize suspicious activity while providing additional context during investigations. It does not replace analyst validation but helps us focus our time on the alerts that need deeper investigation and faster response.

TrendAI Vision One has helped reduce the time spent on initial detection and investigation. I do not have a formally measured percentage, but in daily SOC work, having the alert context, endpoint activity, and related events in one place makes the initial triage noticeably faster, helping us validate suspicious activity and escalate genuine threats without spending much time gathering information from various consoles.

My main use case for TrendAI Vision One is endpoint security, server security, or network security.

For endpoint server security, we have been using it as an essential endpoint security module where we deploy an agent on the client machines and maintain or monitor application control, firewall, anti-malware, spam, web reputation, spam reputation, and other similar capabilities, which is the same for servers including intrusion prevention and detection and response.

Furthermore, for the servers, we use it on-prem and on-cloud, specifically on-prem deep security, which we can migrate and integrate to TrendAI Vision One cloud.

In my experience, one of the best features of TrendAI Vision One is the XDR capability, which involves a centralized console collecting logs from multiple sources, correlating them, and telling us a story.

TrendAI Vision One positively impacts my organization because it is the tool we utilize more than any other cybersecurity-providing tool, as it has a very user-friendly console that I can easily explain to clients, allowing them to understand and carry forward investigations.

For specific outcomes or metrics showcasing how TrendAI Vision One has benefited my organization, it includes playbooks that run on the workbench's correlations, correlating all log sets, pinpointing exact alerts so that the SOC team cannot waste more time and can simply investigate and address them.

An area for improvement for TrendAI Vision One that I notice is on the support side; if any support issues arise or bugs I report can be remediated or addressed more promptly.

Additionally, regarding needed improvements, I pointed out to Trend Micro an issue related to email security, where an inbound protection policy I created, aimed at handling email attachments above a certain size, resulted in all emails being quarantined, and I reported that TrendAI Vision One lacked the capability to adequately manage this.

I have been using TrendAI Vision One for more than five years.

TrendAI Vision One is stable in my experience, but some clients using data centers hosted in the Gulf region, mainly Dubai, face downtime issues.

In terms of scalability, it performs well for endpoints, servers, email, network level, and sandboxing.

I would rate customer support as average, about four out of five. On a scale of one to ten, I would rate customer support an eight.

I have not switched from a different solution since my company provides multiple solutions as per client needs, leveraging various security vendors while finding TrendAI Vision One's features user-friendly and easy to understand.

My advice to others looking into using TrendAI Vision One is that it is very user-friendly and easy to deploy, requiring some firewall rules, and you can deploy an agent to easily access control and investigate.

We are using TrendAI Vision One sensors on endpoints and at the network level as well.

This coverage is critical for my organization's network because the sensors collect XDR telemetry and forward it to the main console, TrendAI Vision One.

I have seen a return on investment, as I can affirm that employees save time dealing with complexities from other products due to TrendAI Vision One's ability to address many issues at the investigation, deployment, and analysis levels.

Regarding my experience with pricing, setup cost, and licensing, I am uncertain about the exact price but note that TrendAI Vision One has shifted to a credit-based license model allowing flexible use across solutions.

Before choosing TrendAI Vision One, we evaluated other options including Kaspersky for endpoint security and FortiGate EDR.

The governance and security of TrendAI Vision One's AI capabilities are actually good; I notice it provides alerts regarding exposure management and threats, along with compliance scores, overall scores, and risk scores to help mitigate and address concerns.

In our industry, the top security challenges include securing endpoints against ransomware and malware attacks, which TrendAI Vision One covers well, along with email security.

My impressions of TrendAI Vision One's ability to provide centralized visibility and management across protection layers are very good, as it collects data from all products and resources, correlating it to tell a cohesive story.

TrendAI Vision One helps consolidate our use of security vendors and reduces silos, covering key areas such as endpoint encryption, compliance, and vulnerabilities, which I validate and remediate.

The importance of TrendAI Vision One having AI built into its platform is high, as it helps explain alerts, attack phases, and process chains with ease. I would rate this review as eight out of ten.