Radware AI SOC Xpert: Elevating Security Operations — A Deep Dive into Its Bot Defense Capabilities

Understanding the BOT AI SOC Xpert Framework

The BOT AI SOC Xpert framework enhances the efficiency and intelligence of modern security operations by combining automation, advanced analytics, and AI-driven insights. It enables SOC analysts to act faster, smarter, and more accurately across the entire detection-to-mitigation lifecycle.

The BOT AI SOC Xpert operates through two key layers:

1. Automated bot detection and mitigation in real time
2. Analyst-assisted investigation for sophisticated bot attacks

Together, these create a closed-loop defence system that significantly reduces time to mitigate (TTM), provides deeper analytical context, and provides accurate detection capabilities against the rising sophisticated bots.

1. BOT AI SOC Xpert Automation and Intelligence Engine

At the heart of BOT AI SOC Xpert is its Automation and Intelligence Engine, which continuously analyses data streams, identifies anomalies, and executes targeted mitigations against malicious bot activity.

Key Functions:

Real-Time Alert Processing and Mitigation

The BOT AI Xpert real-time processing triggers by the alerting module, which builds dynamic behavioural baselines for protected endpoints by tracking critical parameters such as request volume, response time, and request composition.

The current implementation, which is built on the alerting module, operates primarily on baseline breaches—detecting behavioral deviations, generating preliminary mitigation signatures, and analyzing statistical variations in the observed patterns. Mitigation actions are then applied based on whether the detected pattern has been previously mitigated or is identified as a new, previously unseen anomaly, while BOT AI SOC Xpert framework continuously refines baseline datasets, filtering out transient spikes to maintain accurate representations of normal behaviour, Leveraging these refined baselines and real-time insights, BOT AI SOC Xpert autonomously generates and deploys optimized, attack-specific signatures that precisely neutralize malicious patterns while minimizing any impact on legitimate traffic.

For each alert, BOT AI SOC Xpert creates multiple signatures covering various attack patterns, achieving greater attack coverage.

Automated Attack Signature Generation

Once a malicious pattern is confirmed it automatically generates a customized mitigation signature precisely tailored to that specific behaviour. This signature achieves higher accuracy because the underlying algorithm continuously refines its dataset—ensuring that the peacetime baseline reflects only legitimate traffic patterns, making attack-time indicators highly relevant to the active threat. As a result, the response actions are both precise and effective, minimizing disruption to legitimate users while maintaining robust protection against malicious activity.

Closed-Loop Feedback and Self-Learning

Each mitigation cycle – whether the signature effectively mitigates an attack or results in a false positive - feeds back into AI SOC Xpert’s behavioural models, allowing continuous learning from every detection event. Over time, the engine refines thresholds, optimizes detection logic, and strengthens its accuracy against evolving attack techniques.

This self-learning capability enables proactive defence — where AI SOC Xpert evolves alongside changing bot behaviours and attacker strategies.

2. Analyst Empowerment Through Intelligent Insights

In addition to Real-Time Alert Processing and Mitigation, BOT SOC Xpert serve as a comprehensive analyst interface that provides deep visibility into attack behaviour, system decisions, and mitigation outcomes. It acts as an intelligent assistant for SOC teams, allowing them to investigate incidents, validate, and fine-tune mitigations by making data-driven decisions.

Analysts Can:

This integration of human intelligence and automated analytics ensures that analysts remain in full control while leveraging automation to accelerate repetitive and data-heavy tasks.

Detailed Attack Visibility with AI SOC Xpert

AI SOC Xpert provides comprehensive visibility into each attack identified by the alerting system. For every detected event, it generates a detailed summary that includes the total number of caught and uncaught requests during the attack window, allowing analysts to assess detection coverage and impact.

The platform performs extended analytical evaluation to highlight the discriminating indicators that were active during the attack and compares their behaviour during peace time.

Discriminating indicators are parameters that show clear statistical differences between attack traffic and normal user behaviour. For example, extended analysis of one of the events revealed that attributes such as Accept-Language headers (en-GB,en;q=0.5), specific User-Agent strings, and country origin (GB) appeared in over 88% of attack traffic, compared to less than 0.5% during peace time. Similarly, cookie-related values such as Cookie Count and Counter Cookie Value displayed abnormal distributions during attacks.

It also quantifies the traffic spike ratio, showing how the attack activity deviates from normal peace time traffic volume.

Additionally, AI SOC Xpert presents the specific detection signature deployed for each leaked attack, thereby extending coverage and enhancing overall detection efficiency.

Through this structured visibility, BOT AI SOC Xpert enables security teams to trace how an attack was detected, understand the logic behind its classification, and evaluate the effectiveness of the applied mitigation strategy. This insight helps SOC teams respond faster, shorten time-to-mitigation, and sustain higher application uptime.

Signature Recommendation Module: From Insights to Action

Complementing LLM-driven intelligence, AI SOC Xpert features a Signature Recommendation Module — a proprietary Radware algorithm that analyses validated indicators and correlates them with known attack behaviours.

It automatically recommends optimized mitigation signatures ready for deployment. This ensures defence measures are:

• Accurate: Built on validated, precise detection signals, BOT AI SOC Xpert delivers precise detection and minimizes false positives to ensure every alert counts.
• Efficient: With intelligent automation at its core, it streamlines operations and reduces manual effort — enabling SOC teams to focus on strategic priorities rather than repetitive tasks.
• Self-improving: Continuously learning through AI-driven feedback, BOT AI SOC Xpert adapts in real time to evolving attack patterns, delivering stronger protection with every cycle

Once parameters are confirmed, analysts can review AI summaries, validate insights, and deploy or modify rules directly — turning analytics into actionable defence with speed and precision.