What is our primary use case?
When it comes to my daily use case, I implement Akamai Bot Manager primarily to protect my public-facing web application and API from miscellaneous automated traffic. I was seeing issues with web scraping, excessive bot traffic, and automated abuse that impacted application performance and security. Akamai Bot Manager helps me distinguish legitimate users and good bots from malicious bots and allows me to block or challenge suspicious traffic while minimizing the impact on genuine customers. As a result, I improved security, reduced unwanted traffic, and gained better visibility into bot activity across my applications.
Apart from protecting my web application, I also use Akamai Bot Manager to monitor traffic patterns and identify emerging bot behavior. One of the most valuable aspects is the visibility it provides through detailed bot analytics and risk scoring. This helps me fine-tune my security policies over time and respond quickly to new threats without affecting legitimate users. The solution integrates well with my existing Akamai security stack, making it easier to manage bot protection alongside other web security controls.
Before adopting Akamai Bot Manager, I primarily relied on a combination of traditional security controls such as WAF rules, rate limiting, and custom detection logic to manage automated traffic. While those approaches provided some level of protection, they required more manual effort and were less effective against sophisticated bots that could mimic legitimate user behavior. I decided to move to Akamai Bot Manager because I needed more advanced bot detection capabilities, better visibility into bot activity, and a solution that could scale with my application.
What is most valuable?
In terms of best features, the best features of Akamai Bot Manager in my experience are its advanced bot detection capabilities, behavior analysis, and bot scoring. It does a good job of distinguishing legitimate users from malicious automated traffic by analyzing multiple signals rather than relying solely on IP address rules. I also find the real-time visibility and reporting very valuable because they help me understand traffic patterns and make informed policy decisions.
One additional feature worth mentioning is the quality of Akamai's threat intelligence network. Because Akamai has visibility across a large portion of global internet traffic, Akamai Bot Manager benefits from continuously updated intelligence on emerging bot behavior and attack patterns. This helps improve detection accuracy without requiring me to constantly create new rules myself.
Akamai Bot Manager has a positive impact on my organization by significantly reducing malicious automated traffic reaching my application. This improved both my security posture and overall user experience for legitimate customers. I saw fewer credential stuffing and scraping attempts, reduced unnecessary load on my infrastructure, and better protection of business-critical assets.
What needs improvement?
In terms of improvement, overall, Akamai Bot Manager is a strong solution, but there are a few areas where it could be improved. One is the learning curve for new users because the platform offers many configuration options and detailed analytics. It can take time for teams to become fully comfortable with tuning policies and interpreting reports. Another area for improvement is reporting and dashboard customization. While the existing visibility is very good, having more flexible and user-friendly reporting options would make it easier to create tailored views for different stakeholders. Additionally, more out-of-the-box guidance and recommendations for policy tuning could help organizations accelerate deployment and reduce the effort required during the initial setup.
One additional area for improvement would be simplifying policy management for organizations that have many applications and APIs. As deployment grows, having more automation and AI-driven recommendations for policy tuning could help reduce administrative effort.
One additional improvement I would mention is enhancing automation and operational efficiency. For example, more AI-driven recommendations for policy tuning, anomaly detection, and remediation actions could help the security team respond even faster to evolving bot threats.
For how long have I used the solution?
I have been using Akamai Bot Manager for the last one year.
What do I think about the stability of the solution?
From a stability perspective, it has been quite stable for me, and I have never seen any downtime with this solution.
What do I think about the scalability of the solution?
When I talk about scalability, I would say it has been highly scalable, and that is one of its key strengths because it operates on Akamai's global edge network. It could handle very large volumes of traffic without requiring me to scale my own bot detection infrastructure. As my application traffic grew, I did not have to make significant changes to the solution. It continued to provide consistent detection and mitigation capabilities during both normal operation and traffic spikes. This was particularly valuable for protecting high-traffic web applications and APIs where bot activity can increase rapidly.
How are customer service and support?
My experience with customer support has been positive overall. The support team has been knowledgeable and responsive when I have needed assistance with configuration questions, policy tuning, or investigating specific traffic patterns. They have provided helpful responses.
How was the initial setup?
I would say customization is relatively straightforward once you understand your traffic management and business requirements. Akamai Bot Manager provides flexible policy controls, bot categories, risk scores, and action settings. I can decide whether to allow, monitor, challenge, rate limit, or block a specific type of traffic. The real-time dashboard and reporting make it easy to analyze bot activity and adjust policies based on what I am seeing in production.
In terms of pricing, setup cost, and licensing, my experience with the pricing and licensing was generally positive. Although Akamai Bot Manager is positioned as an enterprise-grade solution, it is not necessarily the lowest-cost option in the market. The pricing was justified by the level of protection, scalability, threat intelligence, and operational benefit it provides. From the setup perspective, the implementation required planning and policy tuning during the initial phase, but there were no major challenges. Once configured, ongoing management was relatively straightforward.
What was our ROI?
In terms of return on investment, I have seen a positive return on investment, although it is difficult to attribute it to a single metric. The biggest benefit has been reducing the amount of malicious bot traffic reaching my applications, which lowered the effort required to investigate and respond to bot-related incidents. From the time-saving perspective, my security and operation team has spent less time manually analyzing suspicious traffic because Akamai Bot Manager provides clear visibility and automated mitigation capabilities. Previously, analyzing and manually checking bot-related defects used to take five to six hours. While I don't have an exact number, I have seen an improvement in operational efficiency, better application performance during traffic spikes, and reduced risk from credential stuffing and account takeover attempts.
Which other solutions did I evaluate?
Before choosing Akamai Bot Manager, I evaluated a few alternatives as part of my selection process. I looked into solutions from companies such as Cloudflare, Imperva, and DataDome, along with the option of continuing to rely on a combination of WAF rules. While all these solutions had their strengths, I felt Akamai Bot Manager offered the best combination of advanced bot detection, global threat intelligence, scalability, and integration with the rest of the Akamai security ecosystem.
What other advice do I have?
My advice would be to start by clearly understanding your bot-related challenges and defining what success looks like for your organization in terms of bots. Whether you are trying to prevent credential stuffing, stop web scraping, protect APIs, or reduce automated abuse, having clear objectives will help you configure the solution effectively. I would also recommend spending time during the initial deployment phase to analyze traffic patterns and fine-tune policies. I would say, take advantage of the reporting, analytics, and support resources available. Akamai Bot Manager is most effective when it is treated as an ongoing security capability rather than a set-and-forget tool.
Overall, Akamai Bot Manager has been a valuable addition to my security strategy. It provides strong protection against a wide range of automated threats while maintaining a good experience for legitimate users. The combination of advanced detection capabilities, global threat intelligence, scalability, and detailed visibility into bot activities makes it a mature and effective solution. I would rate this product a nine out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?