Radware Bot Manager
E-commerce fraud protection software
Click fraud software
Bot detection and mitigation software
Fraud detection software
Web security software
E-commerce software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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- Banking and insurance
- Healthcare and life sciences
- Transportation and logistics
What is Radware Bot Manager
Radware Bot Manager is a bot detection and mitigation product designed to identify and block automated traffic across web, mobile, and API channels. It is used by security and fraud teams to reduce account takeover attempts, credential stuffing, scraping, and automated abuse that can impact ecommerce and digital customer experiences. The product typically combines behavioral analysis, device and network signals, and policy-based controls to distinguish bots from legitimate users. It is commonly deployed as part of a broader application security and DDoS protection stack.
Broad bot abuse coverage
The product focuses on multiple bot-driven abuse patterns such as credential stuffing, account takeover precursors, scraping, and automated checkout or inventory abuse. This makes it relevant for ecommerce and other consumer-facing web properties where automated traffic directly affects revenue and availability. It also supports use cases beyond payments fraud by addressing non-transactional abuse that traditional fraud scoring may not prioritize.
Multi-channel protection approach
Radware Bot Manager is positioned to protect web applications as well as mobile and API endpoints, which is important as automation shifts to API-first attacks. This helps organizations apply consistent bot controls across different entry points rather than relying only on browser-based signals. It can reduce gaps where attackers bypass web controls by targeting mobile apps or backend APIs.
Alignment with security operations
The product fits naturally into security workflows focused on application protection and availability, including integration with broader web security controls. Security teams can use it to enforce mitigation actions (block, challenge, rate-limit) and tune policies based on observed traffic patterns. This can complement fraud tools that primarily score transactions by adding upstream traffic-quality enforcement.
Not a full fraud suite
While it can reduce fraud-enabling automation, it does not replace end-to-end fraud detection platforms that focus on transaction risk scoring, chargeback management, or payment fraud analytics. Organizations often still need separate tooling for order-level fraud decisions and post-transaction workflows. Buyers evaluating it under “fraud detection software” should validate where bot mitigation ends and fraud decisioning begins.
Tuning and false positives
Bot mitigation typically requires ongoing tuning to balance security with user experience, especially for high-traffic ecommerce sites and during promotions. Aggressive challenges or blocks can affect legitimate users, partners, or accessibility tools if policies are not calibrated. Teams should plan for monitoring, exception handling, and periodic rule/model adjustments.
Deployment complexity for apps/APIs
Protecting mobile apps and APIs can require additional integration work (for example, SDKs, header/token strategies, or gateway/WAF alignment) compared with purely web-based deployments. Coverage across multiple environments (CDNs, clouds, on-prem) may add operational coordination. Implementation effort and time-to-value depend on the existing application delivery and security architecture.
Seller details
Radware Ltd.
Tel Aviv, Israel
1997
Public
https://www.radware.com/
https://x.com/Radware
https://www.linkedin.com/company/radware/
