How To add Bot Management Solution to Your Web Security Measures?

• Identify bots from human visitors
• Identify bot origin, including IP addresses, and block some based on IP reputation
• Check bot reputation
• Analyze bot behavior and allow good bots to enter
• Give a CAPTCHA test, JavaScript injection to challenge bots from time to time
• Stop access to some content or resources for bad bots
• Rate limit any bot over-using a service within a specific time period

1. Categorize Bots

Categorize bots as per popular and well-publicized bots that interact with online businesses, individual bots specific to an organization (both good and bad), and the unknown bots. Once this categorization is complete IT teams can create specific policies to manage the various activities of the bots as per their impact and the performance of the web infrastructure.

2. User Behavior-Based Bot Detection

Bots can mimic human behavior. Low and slow attacks that cannot be detected easily have become more prevalent. Also, bots are distributed massively on residential and IoT IP addresses, making IP-based security systems irrelevant to fight malicious bot traffic. This shows that you cannot apply a one-fit-for-all solution. In today’s scenario, real-time behavioral analysis of blocking and detecting bad bots is the best solution.

You can identify new threats from bots through statistical and behavioral detection taking data from SDK inputs, session tracking, server-side fingerprints, and a JS rendering engine.

3. Have a combination of server-side and client-side bot detection

It is essential to have a mix of client-side and server-side bot detection. The server-side module collects fingerprints and HTTP requests and analyzes each request in real-time through an AI detection engine and blocks the bots. However, this is not enough as the advanced bots use the same browsers as humans, including Chrome Safari, and can forge fingerprints. Thus, having a server-side detection will miss these bots.

You should have a combination of server-side fingerprinting with client-side signals records and analyze a variety of browsers, device features, and apps along with behavioral signals like touch movements. These help to detect the most advanced bots.

4. Cloud-based Bot Mitigation

Distributed denial of service (DDoS) attacks bombard websites with traffic delivered via botnets that are usually created by networked endpoints joined by malware. Having cloud-based DDoS mitigation software solutions defend against these attacks through proper monitoring of web traffic and having baselines for regular traffic loads. These solutions are in the form of software as a service (SaaS) and protect the organization regardless of its size.