Rapid7 Managed Threat Complete

My main use case for Rapid7 MDR is that I was selling and positioning this solution to mid-market customers that had a global footprint and obviously needed security to lock down all of their endpoints and manage them through AI and a 24/7 SOC team located throughout the globe.

A specific example of how one of my customers used Rapid7 MDR in their environment includes a customer in the auto financing credit space located in Utah who were looking for a solution that would allow them to monitor all of their endpoints globally, including anyone located in the US or outside of the US, and manage their entire network using software. That is how they were leveraging Rapid7 MDR to monitor their network and all their endpoints, also leveraging the global security operations center that has offices throughout the globe.

Rapid7 MDR has impacted my organization and my customers positively by giving them peace of mind that everything in their network and all their endpoints are completely secure. If any situation is detected where AI senses that there is potentially a rogue element trying to gain access to the network, they can immediately shut down that endpoint without any issue or problem.

Specific outcomes or metrics I have seen from using Rapid7 MDR include that it will allow customers to rapidly respond to any potential threat in an organized and quick fashion. Customers have told me it gives them the peace of mind that they can manage their network quickly, in any potential attack, shutting it down immediately without taking hours and days to resolve.

The inclusion of digital forensics and incident response within the MDR service has impacted my customers' incident recovery process by giving them real key insights into how a situation or incident happened, which is critical to understanding why a specific incident occurred and where it originated from.

The best features Rapid7 MDR offers include managing, detecting, and quickly responding to any potential cybersecurity threat initiated by a hacker that is trying to break into a company's global network.

In terms of detection and quick response, I have seen Rapid7 MDR stand out all the time, and it competes really well against Arctic Wolf, another competitor that is doing a lot of business. However, I think Rapid7 MDR is better than even Arctic Wolf.

Regarding Rapid7 MDR's AI capabilities, I think its governance and security are top notch. I know people who worked at Rapid7 in US government areas with three-letter acronyms, and they believe and trust it, so that says everything.

Regarding Rapid7 MDR's AI capabilities, I think its accuracy and reliability of output are great, as it combines AI capabilities with a security operations team geographically dispersed throughout the world, allowing them to respond faster and predict potential issues before they happen.

I would assess the transparency of Rapid7 MDR in terms of gaining visibility into detections and investigations as crucial. While I cannot provide specifics due to privacy and confidentiality, the key to gaining a customer's trust is being proactive and responsive to their cybersecurity needs.

I think the risk-aware detection features in Rapid7 MDR are monumental and extremely important, which is why Rapid7 continues to be a top-notch provider when it comes to managing incidents and detection.

Personally, I have not used the multi-vector telemetry feature in Rapid7 MDR; however, my customers have used that feature.

Regarding how Rapid7 MDR can be improved, I have seen in the industry that other technologies like Tanium have a unique solution that can shut down an endpoint in under 60 seconds using AI, which I think is a game changer. I am sure Rapid7 is currently competing and knows what Tanium can offer, but Tanium is definitely a next-generation technology.

Improvements needed for Rapid7 MDR that I have not mentioned yet, based on my conversations, include that while the technology is sound, the biggest questions arise when customers are using Arctic Wolf and they experience a decline in support over time. Rapid7 needs an excellent customer success team to help customers realize the full potential of Rapid7 MDR.

I have been using Rapid7 MDR for several years, positioning it as a cybersecurity solution in addition to software-defined wide area network solutions.

Rapid7 MDR is stable.

In terms of scalability, I think the product itself is scaling nicely with no issues.

I think one of the areas that Rapid7 shines is their customer support and proactive positioning, which is a significant reason why one of my customers chose Rapid7 over Arctic Wolf.

I would rate the customer support a nine on a scale of one to ten.

Some customers that were using other tools like Arctic Wolf switched to Rapid7 MDR because they felt they were not receiving the needed attention over time to help them grow and get more value from the product.

I personally cannot share specific ROI information at this point, but many customers I have worked with have noted substantial ROI with the technology.

My experience with pricing, setup cost, and licensing with Rapid7 MDR really depends on whether you purchase it directly from Rapid7 or if you are getting it from a strategic partner, such as Amazon or a telco like Comcast Business. Flexible licensing is critical to avoid huge upfront costs to take advantage of the product itself.

Before choosing Rapid7 MDR, my customers evaluated other options including Arctic Wolf, CrowdStrike, and several other platforms, but they chose Rapid7 for its flexibility, detection capabilities, and particularly the ease of use and the AI feature which aids forensic investigations.

I would rate Rapid7 MDR a nine on a scale of one to ten. I choose nine for my rating because I think Rapid7 gives security professionals the ability to see any potential threats to the network quickly, and its ability to lock down the network fast is super important. For these reasons, I think Rapid7 deserves a nine.

Rapid7 MDR is not currently used at my company, but I know my customers have different environments, some private and some hybrid. For the most part, my customers are in private or hybrid cloud environments, not on-premise at all.

The cloud providers my customers use for their hybrid cloud environments include AWS, Microsoft Azure, and some also use Google Cloud.

My advice to others looking into using Rapid7 MDR is to evaluate your current investment and whether it is delivering the ROI expected. If customer support is not meeting your needs, Rapid7 will definitely show positive improvements when it comes to connecting with customers and proactively identifying potential threats to the network. My overall rating for Rapid7 MDR is nine out of ten.

My main use case for Rapid7 MDR is working primarily on investigation, cloud security model, and attack surface model for agent coverage.

For cloud security work, I mainly use Rapid7 MDR on agent coverage, especially for attack surface management, focusing on total instances or servers having missing CrowdStrike and missing Rapid7. The dashboard we have created is very helpful, and regarding investigation, especially on GuardDuty, the alert logs help us analyze and identify anomalous behavior of users.

Currently, there is no additional use case for Rapid7 MDR, and it is functioning smoothly. We are utilizing all the modules from Rapid7, and it helps us analyze in our day-to-day work.

Rapid7 MDR positively impacts my organization by helping the security team detect threats earlier, investigate suspicious activity faster, and respond before incidents cause significant damage.

Based on the MDR, I have noticed faster outcomes, as it has strengthened our security monitoring by helping investigate suspicious authentication activity such as access key creation and other potential threats. It provides additional investigation expertise and helps us support threat validation, allowing our cybersecurity team to prioritize only genuine security risks using MDR reports and incident records.

The inclusion of digital forensics and incident response within Rapid7 MDR has improved my ability to investigate security incidents, understand potential root causes, and identify affected systems. Investigation findings and response recommendations help my team make informed decisions, prioritize containment, and coordinate remediation more effectively.

Having a dedicated cybersecurity advisor through Rapid7 MDR helps align our security program with business needs by providing guidance on emerging threats, security priorities, and opportunities to improve our overall security posture. Recommendations help us focus on high-risk issues.

The best features Rapid7 MDR offers include Bot Factory for automation in cloud security, multiple options in attack surface management such as querying workspace, and very clear investigation logs that we can filter based on our needs.

Automation in cloud security helps me reduce manual work, respond to security findings faster, and improve our AWS security posture. In InsightCloudSec, I can use automation to identify misconfigurations, prioritize risk, and trigger remediation workflows.

Regarding Rapid7 MDR's AI capabilities, it supports compliance monitoring and helps my organization strengthen its posture. The AI capabilities provide reliable security alerts and useful investigation findings that help my team identify suspicious activity and distinguish potential threats from benign events. Investigation insights support informed decisions and incident responses.

Rapid7 MDR provides good visibility into security detection and investigation by delivering alert details, investigation context, and response recommendations, such as investigating suspicious authentication attempts, unusual IAM access creation, and malicious endpoint activity to understand the nature of the threat and its potential impact.

The risk-aware detection features in Rapid7 MDR provide detection capabilities by identifying suspicious activity. Improved attack path context and risk-based alert prioritization help us focus on threats that pose the greatest risk to our organization.

I have not directly evaluated the multi-vector telemetry feature in isolation, but I believe correlating telemetry from multiple sources such as endpoint activity, authentication events, and cloud logs can improve investigation accuracy by providing a more complete picture of suspicious activity.

Rapid7 MDR can be improved by better integration with existing security tools, clearer reporting for security outcomes, and reducing the number of false positives.

I have been using Rapid7 MDR for approximately one and a half years.

Rapid7 MDR is stable.

Rapid7 MDR's scalability meets our organization's needs. Rapid7 MDR handles our organization's growth or changing needs effectively.

The customer support for Rapid7 MDR is quite good. I would rate the customer support at nine out of ten.

Rapid7 MDR is deployed in my organization using a hybrid cloud approach. We primarily use public cloud infrastructure on AWS alongside on-premise infrastructure, and Rapid7 provides all these features.

We have seen operational value from Rapid7 MDR through continuous security monitoring and reduced manual effort in validating suspicious activity. While we have not quantified direct cost savings or staffing reductions, the improved visibility and access to specialized investigation expertise provide value to our security operations.

I did not purchase Rapid7 MDR through the AWS Marketplace. Overall, my experience with pricing and licensing has been reasonable for the value provided through continuous security monitoring, although I was not heavily involved while discussing the pricing and licensing.

I would rate Rapid7 MDR at nine out of ten overall. I choose this rating because it provides strong threat monitoring, investigation support, and security visibility, while still leaving room for improvements. I recommend Rapid7 MDR to organizations looking to strengthen their security monitoring, threat detection, and incident response capabilities. I suggest they assess their security requirements, confirm integration with existing tools, and clearly define incident escalation and response processes. My review rating for Rapid7 MDR is nine out of ten.

Rapid7 MDR has been our primary 24/7 managed detection and response solution software throughout the two and a half years we have been using it.

Recently, Rapid7 MDR flagged and automatically contained a suspicious PowerShell execution on an endpoint device. Once Rapid7 MDR contained the endpoint, the team provided a full forensics summary showing the malicious script that was attempted, which was basically a credential harvesting attack. Our internal team removed the compromised user tokens and re-imaged the machine, then pushed the updated detection rules that resulted in zero lateral data movement or data loss.

Beyond the standard endpoint detection, Rapid7 MDR acts as a true extension of our lean security team and is integrated directly into our SIEM and Slack for instant escalation.

We primarily run on AWS alongside some Microsoft Azure workloads integrated with our on-premises data centers. Rapid7 MDR ingests CloudTrail logs and monitors identity and activity across all those environments.

Rapid7 MDR has slashed our mean time to respond from several hours down to minutes. It gives us an enterprise-grade 24/7 SOC coverage without the massive overhead of hiring and staffing internally.

We save roughly 25 to 30 engineering hours each week by offloading initial tier-one alert triage and investigation to their SOC. Financially, it eliminated the need to hire at least three to four full-time security analysts to maintain 24/7 shift coverage. In terms of dollars, we save several hundreds of thousands annually.

The standout feature is their Insight Agent with Active Response, which lets their SOC isolate compromised endpoints immediately and without needing any manual intervention from us. Active Response stopped a potential ransomware outbreak over a long weekend by instantly isolating the endpoint.

I also value the Attacker Model and endpoint visibility for strategic posture and guidance rather than just reactive alerts. Their AI governance is solid because they maintain a strict human-in-the-loop model, using AI for pattern recognition while keeping the expert analyst at the center.

The accuracy and reliability have been excellent over the past few years. The AI triages quite dependably, classifying noise and correlating multi-vector events. I would rate the accuracy and reliability an eight out of ten. The AI triage is quite dependable at classifying noise and correlating multi-vector events, but it still requires human analyst validation, which ensures we avoid catastrophic false positives or missed threats.

Their transparency is excellent because we share the exact same InsightIDR platform that their SOC uses to triage alerts. This means there is zero black box mystery. For example, when they isolated the endpoint for suspicious PowerShell activity, the investigation timeline laid out the precise command flags, the triggering user account, and the SOC analyst's commentary within minutes.

The primary improvement would be deeper native integration with third-party non-Rapid7 cloud security tools to reduce the portal pivoting. Additionally, giving customers more granular self-service customization for automated response playbooks would help streamline workflows.

Reporting could be more customizable, especially for a non-technical executive audience.

Fine-grained Active Response exclusions would be welcome, streamlined agent deployment because the initial update lifecycle on older Linux distros especially feels a bit clunky, and a unified console workflow would be beneficial.

We have been using Rapid7 MDR for about two and a half years.

Rapid7 MDR has proven highly stable with virtually zero unplanned cloud platform downtime or service interruptions over our two and a half years of use.

Rapid7 MDR scales exceptionally well and handles increases in cloud workloads and data volume seamlessly.

Customer support and the SOC are both top-notch and quite responsive. They respond within minutes, especially for critical escalations, and are backed by a dedicated customer success manager for regular check-ins. I would give the customer support a nine out of ten.

We previously managed an on-premises SIEM using Splunk with fragmented endpoint tools. We switched because the operational overhead of tuning custom correlation rules, constant log ingestion cost spikes, and staffing were becoming quite unsustainable for our team.

We use a hybrid architecture for deployment.

We have seen definitive ROI across key metrics. Head-count avoidance as a primary metric has saved us three to four SOC analysts, which equates to roughly $400,000 to $500,000 in salaries and overhead. Engineering hours saved amount to almost 25 to 30 hours per week. Speed to resolution has increased quite dramatically, with MTTR down from several hours to just minutes.

We procured Rapid7 MDR directly through the AWS Marketplace.

We evaluated CrowdStrike Falcon Complete and Arctic Wolf.

Ensure that you negotiate pre-authorized containment thresholds clearly during onboarding and use marketplace commits like CTP to simplify procurement. I would rate Rapid7 MDR overall an eight out of ten.

My main use case for Rapid7 MDR is providing protection where manual intervention from the company side is almost zero, which is essential for maintaining effective security.

The main point is knowing that someone is managing, not only selling, the complete solution we deployed and are fond of, and that is the backbone of our use case.

Rapid7 MDR has positively impacted our organization by ensuring that alerts can come at any point in time, and we do not have to worry because someone is there to fix it proactively.

In terms of specific outcomes since using Rapid7 MDR, I can confidently say there is virtually zero reduction in incident response time and no productivity getting hampered, allowing people to work more effectively.

The best features Rapid7 MDR offers include proactive threat hunting, as simply reacting to alerts will not work in today's sophisticated security landscape.

There are many instances where proactive threat hunting has helped our organization catch threats that could have been missed; people take their laptops home, and we have zero visibility, but with this MDR solution, we have peace of mind.

Regarding Rapid7 MDR's AI capabilities, I find it very positive and it provides a lot of help in audits and has a robust pre-authorized framework with strict controls.

Speaking about Rapid7 MDR's accuracy and reliability of output, I have to give it a ninety-nine percent rating, as there are very low false positive rates with accurate vulnerability scoring.

The transparency of Rapid7 MDR regarding gaining visibility into detections and investigations is outstanding, with the dashboard being the best in its class and centralizing telemetry data effectively.

The inclusion of digital forensics and incident response within the MDR service significantly improves our incident recovery process by providing historical timelines and root cause analysis.

The risk-aware detection features in Rapid7 MDR are unique, as they eliminate guesswork by cross-referencing alerts and helping to prioritize realistic attack paths.

We have used the multi-vector telemetry feature in Rapid7 MDR, and it greatly improves the accuracy of our investigations through true correlated visibility across platforms.

Having a dedicated cybersecurity advisor through Rapid7 MDR impacts our security program by aligning it with business needs thanks to their industry expertise and knowledge on mitigating attacks.

Regarding improvements for Rapid7 MDR, the only thing I can mention is the costing structure, which is a little bit premium; I understand that top products come at a premium rate.

I rate Rapid7 MDR nine out of ten because some networks may have devices that are not up to date, which affects performance, and there is also room for improvement in the costing structure.

I have been using Rapid7 MDR for almost four years.

Rapid7 MDR is absolutely stable.

The scalability of Rapid7 MDR is very high; you simply need to add licenses and agents to get started.

The customer support for Rapid7 MDR is excellent.

I rate the customer support a perfect ten out of ten.

We have not previously used any other XDR solution.

I have seen a return on investment; the productivity metric shows that the same teams who used to handle alerts manually can now focus on proactive work because this is taken care of by someone else.

Regarding the pricing, setup cost, and licensing, I notice a little bit of premiumization, but I firmly believe that the best products require payment for their quality.

We evaluated other options such as Sophos, SentinelOne, and CrowdStrike before choosing Rapid7 MDR.

My advice to others looking into using Rapid7 MDR is to go for it; you will love it and not regret your decision. I rate Rapid7 MDR nine out of ten.

My main use case for Rapid7 MDR is to monitor incidents and ensure our applications are secured. I also want to make sure we are proactive in identifying threats.

I use Rapid7 MDR daily as part of our security process. My workflow starts on a day-to-day basis by checking the dashboard for overnight alerts to see if there are any incidents and to investigate them. If there is any incident that needs to be escalated to my SOC team, I handle that accordingly. It is mainly to monitor the applications 24/7 for any incidents or alerts. We also use Rapid7 MDR to investigate user activities.

We also use Rapid7 MDR for threat hunting with custom queries and for reports on a weekly and monthly basis to find how many incidents have occurred and to get all those details.

In my opinion, the best features Rapid7 MDR offers are the 24/7 coverage with unlimited incident response and also the latest AI-driven alerts, which is one of the best features I have seen recently. The integration models they have across different endpoints is also valuable.

After the AI-driven alert triage was used, our time spent on identifying false positive alerts was reduced drastically because a large portion of our time was previously spent on identifying false positives and segregating them. After the AI-driven alert triage was implemented, this was directly reduced, which helped us identify actual alerts and work on them quickly. The AI enrichment also provides assets and vulnerability context even before a cybersecurity analyst gets into the picture.

In terms of how Rapid7 MDR has impacted my organization positively, it has reduced our false positives after the AI feature was implemented. This reduction in false positive alerts gave us 24/7 coverage without having an in-house SOC team. It also helps us connect various endpoints to identify, detect, and monitor various endpoints across multi-cloud environments. It has helped us maintain our security posture on a day-to-day basis to keep our systems safe and secure, monitor our user usage, and identify vulnerabilities and asset criticalities.

Previously, the need for multiple analysts and multiple security personnel was reduced after the AI implementation. It gave us detailed response information, detailed incidents, and reduced false positives. It also provided us with the reports we needed for further analysis and gave us the gist of what the incident would look like and what would possibly be going wrong. It has reduced the number of billable hours and also gave us time to work on other improvement factors, which has actually reduced our overall human billing.

The major improvement I see is that the reporting and dashboarding experience could be more flexible because the needs for various companies would be different. Having a dashboard which is flexible and also having a more user experience friendly dashboard would be one of the major points I would like to see improved. Building custom reports for specific stakeholders is also important, especially because the current reports are generic and default, which are useful but not necessarily for stakeholders because they would like to see summaries, counts, and compliance-focused views.

I would say pricing transparency and a startup package would be great because pricing is one of the major standpoints for every company to adopt tools. Rapid7 does not have a startup package where companies can have lower pricing or a one-year startup trial or credits for new startups who are eligible to onboard. If that would be available, it could help growing companies use security tools like Rapid7. Additionally, log sources and third-party integrations sometimes require more manual work than expected.

I have been using Rapid7 MDR for more than two years currently.

Rapid7 MDR is stable as of now.

We have not seen any issues with Rapid7 MDR's scalability. We tried to add new endpoints and new locations, but we have not seen any issues in terms of adding new users or endpoints.

We have only reached out during onboarding for customer support, so we did not have much experience with having calls or help with support.

We did evaluate other tools in the market such as Fortify, OpenText, and Sonar before choosing Rapid7 MDR.

I would not be the right person to talk about the money saved, but I could say there has been lots of time saved since we have onboarded Rapid7 MDR. The need for cybersecurity personnel has also been reduced.

We were directly using Rapid7 MDR as the first solution.

The inclusion of digital forensics and incident response within Rapid7 MDR service has positively impacted my incident recovery process, both operationally and financially. During an incident, creating a separate retainer or negotiating scopes and often waiting for external responders to onboard before meaningful work could begin could actually delay our recovery time. However, with Rapid7 MDR, DFIR is fully included in the services, which means there is no hourly fee, no caps, or engagement limit. This means our forensics begins immediately, which gives us an upper hand. In terms of financials, we do not pay additional fees for investigators or separate tools to onboard or for negotiations on retainers.

As for my experience with pricing, setup cost, and licensing, it is a corporate pricing structure and it was not startup friendly, which was one of the major issues I mentioned in improvements. The setup was not easy. We had to have someone already experienced in Rapid7 get involved in the setup and licensing. So it is not user friendly.

I would say the input cost could potentially be high when implementing Rapid7 MDR, but in the near future, you would be seeing a bigger saving factor in terms of time spent and the number of resources required.

We have not used the multi-vector telemetry feature in Rapid7 MDR.

We have not used the integrated MDR for Microsoft environments feature.

We use the AI-assisted risk-aware investigation in Rapid7 MDR and it has impacted our triage by providing detailed context. It gives us detailed impact analysis and also does a deep analysis on what the threat could be and what the potential causes are. It also does a root analysis and gives us the impact event, impact asset, and also what a possible solution could be. This has made the security alert solving easier and faster to resolve.

We have not used the expanded ecosystem telemetry support.

I do not have anything else to add about the features.

I do not have any other improvements needed for Rapid7 MDR that we have not discussed yet.

I would need some time to think about the transparency of Rapid7 MDR in terms of gaining visibility into detections and investigations.

Rapid7 MDR's risk-aware detection features have created a very meaningful positive impact. The integration between the detection and exposure management within Rapid7 MDR unified platform means that the team can actually work on threats that impact the business rather than other threats. Vulnerability data, assets, critical user identity context, and attack path information all feed directly into the detections. When an alert actually fires, it evaluates the isolation and gives us the ability to focus on what needs to be fixed.

It has reduced 60 to 65 percent of false positives, which is actually very helpful and is good because it is almost near to accurate. The reasoning is also almost correct. I would say it is learning day by day but it is actually performing well.

In terms of Rapid7 MDR's AI governance and security, it is more transparent because with the AI capabilities, it has made a transparent approach to governance and security. This means it gives us the ability to see how alerts are triggered and on what actions, and also provides a list of details on the transparency of what AI takes action on and what decisions it has made. Every AI-driven triage decision is auditable and gives us a flow of what has been taken. Because auditing is one of the major factors in compliance, we are able to see what all decisions and when and what factors have made that decision. We can see the reasoning, the evidence considered, and the outcome. From the governance standpoint, the human analyst is still in the loop across the triage cycle.

My overall review rating for Rapid7 MDR is seven out of ten.

My main use case for Rapid7 MDR is to manage detection and response, SIEM, and other threat management solutions from Rapid7, including the vulnerability part.

I use Rapid7 MDR in parallel to Rapid7 SIEM, where all the logs are ingested and where I carry out investigations and incident response activities.

The transparency of Rapid7 MDR detection is high, with detailed insights into each incident, including analyst notes, supporting evidence, attack timelines, and recommendations for remediation.

The risk-aware detection features in Rapid7 MDR are effective, as they help me focus on significant threats by correlating telemetry to identify realistic attack paths and prioritize incidents based on actual risk.

Having digital forensics and incident response included in Rapid7 MDR has greatly improved my incident recovery process by helping me determine root causes and the extent of compromises.

I utilize the integrated MDR for Microsoft environments, experiencing great visibility and effective incident response through this enhancement.

The best features Rapid7 MDR offers include the ability to configure alerts, log ingestion, monitoring capability, and threat detection that correlates telemetry from multiple security tools to detect advanced attacks, with every high priority incident validated by Rapid7 analysts initially, significantly reducing false positives.

I find myself relying most on the threat detection and investigation quality, as well as the threat intelligence, which has made a significant difference in the effectiveness of my incident response team.

Rapid7 MDR is an excellent choice for organizations that want enterprise-grade threat detection and response without building a 24/7 in-house SOC team, combining expert analysis, high fidelity detections, broad integration support, and actionable incident response.

Rapid7 MDR has positively impacted my organization by containing most of the false positives, as its in-house 24/7 team continuously monitors customer environments, enabling organizations to detect and respond to threats much faster.

Measurable improvements include seeing a reduced number of false positives compared to other tools because Rapid7's in-house team handles most of them, and the faster threat detection reduces the mean time to detect from hours or days to minutes due to continuous monitoring.

To improve Rapid7 MDR, I suggest enhancing detection and reporting, including customizable dashboards and more dynamic alert detection rules based on anomalies.

Everything mainly revolves around detections and reporting, and I find the user experience to be great with smooth integration from AWS.

I have been working in my current field for almost three years.

Rapid7 MDR is scalable and adapts well to any organization's size.

Customer support is excellent, and they promptly connect whenever I raise a request, which I would rate more than nine.

I chose 9.5 because of their excellent customer support, efficient integration processes, and active communication during high incidents, helping my internal security team effectively handle critical situations.

This is the only solution I have used for this particular customer.

Rapid7 MDR has provided a clear return on investment by significantly reducing the time my internal security team spends on alert triage through validated investigations and actionable recommendations.

My advice to others is to choose Rapid7 MDR if you want a cost-effective SIEM solution backed by a great security support team.

I benefit from using AI-assisted risk-aware investigation workflows, which streamline investigations by correlating all relevant alerts and details into a single workflow, reducing manual effort in triaging incidents.

I gave this product a rating of 9.5 out of 10.