What is our primary use case?
For my main use case, TrendAI Tipping Point is one of the solutions we provide to our clients as a partner company. It is a next-generation IPS that receives and analyzes internet traffic and takes action accordingly.
A specific example is that it is a real-time protection job for us, and with frequent traffic coming and going, its DPS has the ability to block zero-day attacks.
Beyond our main use case, TrendAI Tipping Point provides effective threat protection. I value its accuracy in identifying and blocking malware, as well as its productive zero-day initiative with us.
How has it helped my organization?
TrendAI Tipping Point has positively impacted our organization, as we are the partner company that deploys the products to clients. Our clients have highlighted its proactive threat prevention, particularly its ability to block known and zero-day attacks in real time before they reach critical assets. The solution is also frequently praised for its user-friendly graphical interface and for virtual patching. The integration of virtual patching with its intrusion prevention capabilities allows clients to protect vulnerable systems before official vendor patches are applied. When the recent PHP threat came, TrendAI Tipping Point released digital vaccines and virtual patching vulnerability patches, which we applied in the client's environment before the PHP vendor released the official patches.
Specific metrics from TrendAI Tipping Point can vary by organization and deployment size. I have seen a faster response time, and clients using the Trend AI AI-enhanced security platform have reported up to a 70% reduction in incident response time.
What is most valuable?
In my experience, the best features of TrendAI Tipping Point start with its ease of management. The solution is praised for its user-friendly graphical interface, quick deployment, and centralized command center. I also value its integration with other Trend AI products and third-party products.
TrendAI Tipping Point has one of the centralized management servers, called SMS, which manages the TrendAI Tipping Point systems. From there, we can create rules, define filters, and deploy all the digital vaccines that are related to threats and feeds.
For TrendAI Tipping Point's AI capabilities, governance and security rest on two main pillars: securing the AI infrastructure itself and governing how employees use AI. The first pillar is AI protection. TrendAI Tipping Point provides real-time inline threat protection for AI servers and workloads. It uses virtual patching to shield critical AI infrastructure from known and zero-day vulnerabilities before official patches are available. For runtime guardrails, Trend Vision One includes an AI Guard that monitors and enforces safety policy in real time. This helps block malicious or non-compliant LLM outputs.
When evaluating the accuracy and reliability of TrendAI Tipping Point's output, client reviews and technical analysis highlight several strengths and limitations. The accuracy is high-precision, with strong threat detection. Clients have frequently praised the platform for its accuracy in identifying and blocking malicious traffic, with some calling it one of the best intrusion prevention systems. Its machine learning integration is also a strength. The system utilizes machine learning and statistical data modeling within its digital vaccine filters to detect known and unknown malware families.
What needs improvement?
In my view, TrendAI Tipping Point can be improved in a few areas. Based on client feedback and industry reviews, several areas can be improved. The first is performance under heavy loads. Some clients and users have reported that the system can experience latency and slower network performance when traffic volumes are exceptionally high. The second is user interface modernization. The platform is a Java-based application that is often described as clunky and visually outdated, so users are requesting a more modern, streamlined web interface. The third is scalability and hardware cost, for example, the upgrade requirements.
The reason I would give TrendAI Tipping Point an eight out of 10 comes down to a few points: the documentation, the initial support, the third-party integration complexity, and the user interface. These are the couple of points I have detected.
For how long have I used the solution?
I have been using TrendAI Tipping Point for more than one year.
What do I think about the stability of the solution?
TrendAI Tipping Point is stable in my experience. It is very stable and working at its full potential. As I mentioned earlier, it detected the recent PHP vulnerabilities, and it very quickly released virtual patching patches with its digital vaccines. It is working well.
What do I think about the scalability of the solution?
When it comes to TrendAI Tipping Point's scalability, I see both challenges and strengths. The challenges are the hardware limitations and the cost. The strength is the high-throughput options for larger data centers. The hardware is capable of massive scale. The TXE series, which I mentioned, can deliver up to 40 Gbps in a single rack unit. It can be stacked to achieve up to 120 Gbps of inspection throughput. There is also flexibility in the licensing. Trend Micro offers a pay-as-you-go licensing model, intended to help organizations expand their capacity without immediate massive disruption.
How are customer service and support?
Customer support for TrendAI Tipping Point is good, but I would not say it is very good. It is pretty good.
For customer support on TrendAI Tipping Point, I will honestly give a six.
Which solution did I use previously and why did I switch?
TrendAI Tipping Point is my first NDR product, and it is going well.
What was our ROI?
As a technical engineer, I can say that TrendAI Tipping Point obviously saves time and helps the team identify the zero-day initiative and the virtual patching system. It definitely saves time, and fewer security analysts are needed to review.
Which other solutions did I evaluate?
I work on all the Trend AI products, so I am dedicated to its solution only. This is my first NDR product.
What other advice do I have?
I recently deployed TrendAI Tipping Point for virtual patching. I think it is the TXE series. On a scale of one to 10, I recommend it eight out of 10.
TrendAI Tipping Point is deployed in our organization on-premises. I deployed an on-premises solution with the physical hardware appliance within the data centers, and we configured and deployed it on-premises.
For anyone looking into TrendAI Tipping Point, my advice based on my experience is for clients to consider their Trend Micro products, including TrendAI Tipping Point, and to plan for their future bandwidth because scaling up often requires purchasing entirely new hardware.
Which deployment model are you using for this solution?
On-premises