Radware Bot Manager
Radware Bot Manager is an enterprise bot management and application security platform (application security) for detecting, classifying, and mitigating automated traffic across web, mobile, and Application Programming Interface (API) channels.
- Bot detection, classification, and mitigation across web, mobile, and API traffic (application security).
- Protection for online assets against malicious automation such as scraping, credential abuse, and fraudulent transactions (fraud and abuse prevention).
- Integration with content delivery networks, load balancers, and existing application security stacks (security integration).
- Dashboards, analytics, and reporting on human vs. automated traffic patterns (security analytics).
- Policy management and response orchestration for blocking, challenging, or redirecting bot traffic (security policy and orchestration).
More About Radware Bot Manager
Radware Bot Manager is positioned for enterprises that operate public-facing web applications, mobile applications, and APIs and need structured control over automated traffic that interacts with these assets. The platform is designed to identify both known and unknown bots, distinguish automated behavior from human users, and apply mitigation policies without extensive changes to application code. It is commonly deployed alongside existing web application firewalls (WAF) (application security), Distributed Denial of Service (DDoS) protection (network security), and content delivery networks (CDN) (content delivery) as part of a layered application security architecture.
The service uses techniques such as behavioral analysis, device and browser fingerprinting, request pattern analysis, and reputation-based checks to classify traffic. It examines parameters in HTTP/S requests, headers, user-agent strings, cookies, JavaScript execution patterns, and client-side telemetry to determine whether a request is likely to originate from a human-operated browser, a good bot such as a search engine crawler, or a malicious bot. Based on this classification, enterprises can configure policies that block requests, present challenges, redirect bots, or allow traffic while monitoring it in more detail.
Architecturally, Radware Bot Manager often integrates at the edge of an organization’s infrastructure, such as at the Content Delivery Network (CDN) layer, Application Delivery Controller (ADC), or reverse proxy. It supports common web protocols including Hypertext Transfer Protocol (HTTP) and HTTPS and is built to operate in environments that use Transport Layer Security (TLS) termination, load balancing, and global traffic distribution. For APIs, it works alongside API gateways (API security) to inspect calls for automated misuse such as credential stuffing or enumeration attacks. The platform’s analytics layer aggregates telemetry into dashboards that provide visibility into traffic volumes, bot categories, attack types, and trends over time, which can be used by Security Operations (SecOps) teams and site reliability teams for monitoring and incident response.
Compared with general-purpose Web Application Firewall (WAF) products, Radware Bot Manager is focused on automated traffic rather than broad OWASP-style vulnerability coverage. It complements WAF capabilities by providing more granular controls for bots, including differentiation between beneficial and harmful automation, and mechanisms to align bot access with business rules. In typical enterprise deployments, it is part of a broader security stack that may also include DDoS mitigation, fraud detection systems, and identity and access management services.
From a directory and taxonomy perspective, Radware Bot Manager fits into bot management (application security), online fraud and abuse prevention (fraud and abuse), and API security (API security). It is relevant to organizations in sectors such as e-commerce, financial services, travel, media, and any domain where automated traffic affects performance, analytics quality, or exposure to abuse. Security architects and infrastructure leaders use it to define policies that constrain unwanted bots while maintaining availability and usability for human users and approved automated agents.