In my organization, the primary use case of DataDome is end-to-end observability across telecom applications and infrastructure, especially for real-time network services and customer-facing systems. In our domain, we use DataDome APM to monitor microservices handling telecom workflows, such as call and session management systems, IMS components, charging and billing gateways, and API gateways handling subscriber requests. If a subscriber experiences a delay in call setup or data session activation, we trace the request across microservices and quickly identify which service is slow and whether it is a database latency issue or downstream dependency. In one of our day-to-day use cases, we use DataDome to secure the customer login portals, recharge and payment pages, and self-care mobile and web applications. These often face credential stuffing attacks, which we received in earlier days. There was a major outage due to these credential stuffing attacks on one of the Bharti servers in the North India circle. Fake login attempts were also detected. Using DataDome, we secured our servers and all nodes, and we stopped the account takeover attempts. In our system, we expose multiple APIs for balance check, recharge, SIM activation, and plan browsing. Different bots always try to scrape plans and pricing data, abuse recharge APIs, and flood APIs. DataDome helps us by identifying those non-human traffic patterns, blocking malicious API calls, and ensuring service availability for real customers. In our organization, particularly in our product, multiple teams interact with DataDome regularly, mainly security, NOC, and application teams. The security team uses DataDome on a daily basis to monitor bot traffic trends and malicious traffic trends, and they review block requests and attack patterns. They fine-tune protection policies, including CAPTCHA, block, and allow rules. In one practical scenario, there was a spike in login failures, and the security team checked the DataDome dashboard to confirm if it was a credential stuffing attack, then they tightened rules accordingly. The NOC team uses this for monitoring traffic anomalies, checking if bot traffic is impacting system performance, and coordinating during incidents. The application team and charging team also interact with DataDome to address legitimate users being mistakenly blocked and to handle new APIs or endpoints introduced. We also coordinate with the security team to whitelist trusted traffic and adjust rules to avoid user impact.
DataDome protects websites and apps from bots and online fraud by serving as bot protection and fraud prevention. It stops bad bots, allows good bots, and guards against fake account creation, ticket or product holding, payment fraud, and data scraping. Our product pages were aggressively scraped by bots, and login endpoints faced credential stuffing. I integrated DataDome at the edge in front of our sites, which started analyzing incoming traffic in real-time, automatically blocking and challenging suspicious requests. As a result, scraping traffic dropped significantly, and login attack attempts were filtered before reaching our back end, resulting in fewer fake accounts and customer complaints about account takeovers. DataDome's dashboard allows us to check the bots versus human traffic breakdown and review blocked requests, eliminating the need for manual investigation of traffic spikes.
We are DataDome in SOC for cybersecurity. We use the solution to perform traffic analysis on any website or server to see whether there is a lot or little traffic.
Bot Management provides a defense mechanism against malicious internet bots, essential for protecting online assets and ensuring optimal application performance by differentiating automated traffic from legitimate user interactions.This solution equips organizations with tools to mitigate unwanted bot traffic, preserving website integrity and user experience. Advanced capabilities enable the detection and neutralization of bot-driven threats, such as credential stuffing and price scraping,...
In my organization, the primary use case of DataDome is end-to-end observability across telecom applications and infrastructure, especially for real-time network services and customer-facing systems. In our domain, we use DataDome APM to monitor microservices handling telecom workflows, such as call and session management systems, IMS components, charging and billing gateways, and API gateways handling subscriber requests. If a subscriber experiences a delay in call setup or data session activation, we trace the request across microservices and quickly identify which service is slow and whether it is a database latency issue or downstream dependency. In one of our day-to-day use cases, we use DataDome to secure the customer login portals, recharge and payment pages, and self-care mobile and web applications. These often face credential stuffing attacks, which we received in earlier days. There was a major outage due to these credential stuffing attacks on one of the Bharti servers in the North India circle. Fake login attempts were also detected. Using DataDome, we secured our servers and all nodes, and we stopped the account takeover attempts. In our system, we expose multiple APIs for balance check, recharge, SIM activation, and plan browsing. Different bots always try to scrape plans and pricing data, abuse recharge APIs, and flood APIs. DataDome helps us by identifying those non-human traffic patterns, blocking malicious API calls, and ensuring service availability for real customers. In our organization, particularly in our product, multiple teams interact with DataDome regularly, mainly security, NOC, and application teams. The security team uses DataDome on a daily basis to monitor bot traffic trends and malicious traffic trends, and they review block requests and attack patterns. They fine-tune protection policies, including CAPTCHA, block, and allow rules. In one practical scenario, there was a spike in login failures, and the security team checked the DataDome dashboard to confirm if it was a credential stuffing attack, then they tightened rules accordingly. The NOC team uses this for monitoring traffic anomalies, checking if bot traffic is impacting system performance, and coordinating during incidents. The application team and charging team also interact with DataDome to address legitimate users being mistakenly blocked and to handle new APIs or endpoints introduced. We also coordinate with the security team to whitelist trusted traffic and adjust rules to avoid user impact.
DataDome protects websites and apps from bots and online fraud by serving as bot protection and fraud prevention. It stops bad bots, allows good bots, and guards against fake account creation, ticket or product holding, payment fraud, and data scraping. Our product pages were aggressively scraped by bots, and login endpoints faced credential stuffing. I integrated DataDome at the edge in front of our sites, which started analyzing incoming traffic in real-time, automatically blocking and challenging suspicious requests. As a result, scraping traffic dropped significantly, and login attack attempts were filtered before reaching our back end, resulting in fewer fake accounts and customer complaints about account takeovers. DataDome's dashboard allows us to check the bots versus human traffic breakdown and review blocked requests, eliminating the need for manual investigation of traffic spikes.
We are DataDome in SOC for cybersecurity. We use the solution to perform traffic analysis on any website or server to see whether there is a lot or little traffic.