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Knowledge base Updated: February 5, 2026

Radware Threat Intelligence: Proactive protection in an era of evolving cyber threats

How does Radware Threat Intelligence help stay ahead of cyber threats?

Grzegorz Gnych Grzegorz Gnych

In today’s digital world, where cyber threats are evolving with unprecedented speed, a reactive approach to security is no longer enough. Organizations need tools that allow them to stay one step ahead of cybercriminals. At nFlo, we understand these challenges very well, which is why we are bringing you one of the most advanced solutions on the market: Radware Threat Intelligence. It’s a game-changing service that offers proactive protection based on in-depth, real-time threat analysis.

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What is Radware Threat Intelligence and how does it work in practice?

Radware Threat Intelligence is an advanced threat analytics service that collects, processes and analyzes vast amounts of data from a global network of sensors, public and private sources, and from actual attacks repelled by Radware solutions. In practice, this means providing security teams with up-to-date, contextual and actionable information about new attack vectors, malware, vulnerabilities or suspicious IP addresses. This information is then used to automatically strengthen defense mechanisms such as WAF systems, DDoS protection or bots.

📚 Read the complete guide: SOC: Security Operations Center - czym jest, jak działa, jak wybrać

How has the approach to cyber security threat analysis evolved?

Initially, cyber security was based mainly on signatures of known threats (as in traditional antivirus) and static rules (e.g. in firewalls). It was a reactive approach - reacting to something that had already been identified. However, as the complexity of attacks increased (polymorphic malware, zero-day attacks, advanced DDoS attacks), it became clear that a paradigm shift was needed. It has evolved in a proactive direction: behavioral analysis, machine learning and just threat intelligence, which can predict and neutralize threats before they have a chance to do damage.

How does Radware use artificial intelligence to detect threats?

Artificial intelligence (AI) and machine learning (ML) are at the heart of Radware Threat Intelligence. AI/ML algorithms analyze terabytes of data in search of subtle patterns and anomalies that might escape human analysis. They can identify new attack techniques, correlate seemingly unrelated events and predict potential threats based on global trends. With AI, Radware can distinguish legitimate from malicious traffic with unprecedented precision, minimizing false positives and maximizing protection effectiveness.

What key features does the Radware Threat Intelligence service offer?

The Radware Threat Intelligence service is a comprehensive ecosystem that offers, among other things:

  • Live updated threat feeds: Information on malicious IPs, domains, C&C botnets.

  • Vulnerability data: Contextual information about new vulnerabilities and their potential exploitation.

  • Reputation Alerts: Monitor the reputation of your own IP addresses and domains.

  • Behavioral analysis: detecting anomalies and zero-day attacks.

  • Geolocation of threats: Identifying sources of attacks.

  • Integration with Radware products: Automatic WAF, DDoS protection enhancement, Bot Manager.

  • API for integration with external systems: Ability to use data in SIEM, SOAR, etc.

Why is real-time threat monitoring critical to an organization’s security?

Cyber attacks can unfold in minutes or even seconds. A delay in detection and response can mean catastrophic consequences: data theft, service outages, financial and reputational losses. Radware’s real-time threat monitoring makes it possible to immediately identify suspicious activity and take remedial action - often in an automated manner. This is key to minimizing the time window in which attackers can act.

How does behavioral analysis help detect previously unknown threats?

Traditional signature-based methods are helpless against new, previously unknown threats (zero-day attacks). Behavioral analysis, used by Radware, focuses not on what the threat is, but on how it behaves. The system learns the normal traffic pattern for a given application or network, and then identifies any deviations (anomalies). This could be an unusual query sequence, an attempt to exploit an unknown vulnerability, or unusual user activity. In this way, threats for which signatures do not yet exist are detected.

How does Radware provide protection against DDoS attacks and bots?

Radware is a leader in DDoS attack protection and bot management. Threat Intelligence plays a key role here, providing information about:

  • Current DDoS botnets: Allows proactive blocking of traffic from infected machines.

  • New DDoS attack vectors: Enables rapid adaptation of mitigation algorithms.

  • IP Address Reputation: Identify known sources of malicious traffic.

  • Characteristics of advanced bots: Helps distinguish “good” bots (e.g., search engines) from “bad” bots (e.g., scrapers, credential stuffing).

This makes Radware’s protection not only powerful, but also smart, minimizing the impact of attacks on legitimate users.

How does a reputation alert system work and why is it important for brand protection?

Radware’s reputation alert system monitors whether IP addresses or domains belonging to an organization are on public or private blacklists (e.g. spam, phishing). If this happens, the system immediately notifies administrators. This is extremely important, as getting blacklisted can lead to blocking of emails sent, problems with access to services or loss of trust of customers and partners - which directly hits the reputation of the brand. A quick response allows you to identify the cause (such as an infected computer on your network) and take corrective steps.

What are the benefits of a layered approach to protection in Radware solutions?

Radware promotes a “defense-in-depth” approach, or multi-layered protection. This means that different security mechanisms (WAF, DDoS protection, bot management, API protection) work together, complementing each other. The central element that binds these layers together is precisely Threat Intelligence, which provides consistent data and context to all modules. If, for example, a DDoS attack is detected, this information can be used to tighten WAF rules for suspicious sources. This synergistic action greatly increases the overall resilience of the system.

How does Radware Threat Intelligence support SOC teams in decision-making?

Security Operations Center (SOC) teams are often inundated with a huge number of alerts from various systems. Radware Threat Intelligence helps them by providing:

  • Context: Information on whether the alert is related to a known attack campaign or malicious actor.

  • Prioritization: Identifying which risks are most critical and require immediate attention.

  • Shareable data: Specific indicators of compromise (IoC) that can be used for blocking or further analysis.

  • Noise Reduction: With precise algorithms and AI, it minimizes false alarms, allowing analysts to focus on real incidents.

All this translates into faster and more accurate decisions by SOC teams.

How does integration with existing security systems improve security effectiveness?

Radware Threat Intelligence does not operate in a vacuum. The ability to integrate with an organization’s existing security infrastructure (e.g., SIEM systems like Splunk or QRadar, SOAR platforms, next-generation firewalls) is key. With an open API, Radware’s intelligence can be automatically distributed to these systems, enriching their analysis and enabling a coordinated response across the security ecosystem. This holistic approach maximizes the return on investment of individual tools.

What cyber security challenges do organizations face in 2025?

Forecasting the future is difficult, but trends point to several key challenges:

  • AI-driven attacks: Cybercriminals will also use AI to create more sophisticated and personalized attacks.

  • Growing attack surface: A growing number of IoT devices, cloud services and APIs are creating new attack vectors.

  • Supply chain attacks: Compromising one supplier can open the door to many of its customers.

  • Advanced detection avoidance techniques: Attackers are constantly improving methods to hide their activity.

  • Regulation and compliance: Increasing regulatory requirements for data protection (e.g., RODO, NIS2).

Having a proactive threat intelligence system like the one from Radware will be key to meeting these challenges.

How does automated threat blocking reduce the burden on IT teams?

Many threats identified by Radware Threat Intelligence are repetitive and unambiguously malicious in nature (e.g., traffic from known botnets, port scans from suspicious IPs). By integrating with Radware security systems (e.g., DefensePro, Alteon WAF), such threats can be automatically blocked without the need for human intervention. This significantly reduces the number of alerts requiring manual analysis and allows IT/security teams to focus on more complex incidents and strategic tasks.

How do proactive alerts affect business continuity?

Proactive alerts, generated from trend analysis and intelligence, allow an organization to prepare for potential attacks before they occur. This can include:

  • Strengthening security configurations: E.g., tightening WAF rules in anticipation of an attack campaign against a specific vulnerability.

  • Allocation of additional resources: E.g., preparing the infrastructure to repel an expected DDoS attack.

  • Informing teams: Raise awareness and readiness of IT and SOC teams.

This allows the organization to avoid service outages, data loss or other disruptions that negatively affect business continuity.

How does Radware use data from actual cyber attacks to build protection?

One of Radware’s biggest advantages is the vast amount of data coming from the Emergency Response Team (ERT) and Radware devices running on customers around the world. Every DDoS attack repulsed, every intrusion attempt blocked by the WAF, every bot activity is analyzed. This “battlefield” data provides invaluable information about current tactics, techniques and procedures (TTPs) used by attackers. They are immediately used to update detection algorithms, create new rules and strengthen protection for all Radware clients - creating a powerful feedback loop.

How do Radware solutions protect web applications and APIs?

Web applications and APIs (Application Programming Interfaces) are among the most common targets of attacks. Radware offers dedicated solutions:

  • Web Application Firewall (WAF): Protects against attacks such as SQL Injection, Cross-Site Scripting (XSS), attacks on application logic. WAF Radware is constantly updated with data from Threat Intelligence about new attack vectors and vulnerabilities.
  • API Protection: Secures APIs against abuse, application-level DDoS attacks, data theft and unauthorized access. Uses behavioral analysis and reputation data to identify API-specific threats.

Integrating these solutions with Threat Intelligence provides dynamic and adaptive protection against the latest threats.

Why is predictive analytics crucial in staying ahead of cybercriminals’ activities?

Predictive analytics, using AI/ML to analyze global trends and historical data, allows Radware Threat Intelligence to predict future directions of attacks. Instead of just reacting to what’s happening now, the system can identify, for example:

  • Attackers’ growing interest in the new vulnerability before it is massively exploited.

  • The formation of a new botnet before it launches an attack.

  • Likely targets of future phishing campaigns.

This ability to “look ahead” gives organizations a valuable advantage and time to prepare defenses.

How does Radware help reduce response times to security incidents?

Time is a key factor during a security incident. Radware Threat Intelligence reduces response time (MTTR - Mean Time To Respond) in several ways:

  • Faster detection (MTTD): With real-time analysis and AI.

  • Response automation: Automatically block known threats.

  • Contextualizing alerts: Providing the SOC with the information it needs to quickly assess the situation.

  • Shareable data: Enable teams to take immediate corrective action.

Shortening MTTD and MTTR minimizes the potential damage from an attack.

How does global threat intelligence sharing strengthen an organization’s protection?

Cybercrime knows no borders. An attack that affects a company in Asia today could target an organization in Europe tomorrow. Radware Threat Intelligence works with a global network of sensors and data. Information about new threats detected in one region is distributed almost immediately and used to protect customers around the world. This collective intelligence ensures that any organization using Radware benefits from the experiences and incidents encountered by others, significantly strengthening its own resilience.

Summary

Radware Threat Intelligence is much more than just a feed of threat data. It’s a comprehensive, proactive AI-based system that provides contextual, actionable information in real time. It enables you to stay ahead of cybercriminals’ activities, automate defenses, support SOC teams and help protect critical digital assets - from network infrastructure to web applications and APIs.

At nFlo, we believe that investing in advanced threat analytics is critical today for any organization serious about cyber security. Solutions such as Radware Threat Intelligence are the foundation of a modern, attack-resistant IT infrastructure.

**Want to learn more about how Radware Threat Intelligence can strengthen your company’s security? Contact nFlo experts - we can help you select and implement solutions best suited to your needs. **

Learn key terms related to this article in our cybersecurity glossary:

  • Security Operations Center (SOC) — Security Operations Center (SOC) is a central location where a team of security…
  • Anti-DDoS — Anti-DDoS is a set of technologies and strategies designed to protect networks,…
  • Antimalware — Antimalware is software designed to detect, prevent, and remove malicious…
  • Malware — Malware, short for ‘malicious software,’ is a general term encompassing various…
  • OSINT — OSINT, or Open Source Intelligence, is the process of collecting, analyzing,…

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