Infoblox has enhanced its Threat Defense platform by integrating predictive capabilities aimed at countering AI-driven cyberattacks. This platform monitors DNS traffic in real-time, allowing enterprise customers to block various cyber threats, including malware, phishing, and ransomware. By leveraging Infoblox’s threat intelligence and machine-learning analytics, the system can effectively prevent DNS-based data exfiltration and other risks. It is available as a SaaS solution or software on virtual Infoblox appliances, accommodating various customer needs and can be used in hybrid and multi-cloud environments. It also integrates with major multivendor SIEM, SOAR, XDR, and vulnerability management tools.
According to Krupa Srivatsan, senior director of product marketing at Infoblox, the Threat Defense platform represents a significant shift toward proactively addressing cybersecurity issues before they escalate. Enhancements to the platform allow organizations to bolster their security posture amid a landscape where attackers utilize AI to conduct rapid and personalized assaults.
Among the new features introduced are:
- Proactive protection metrics: Enables security leaders to present quantifiable metrics on reduced threats, crucial for accountability in corporate boardrooms.
- Streamlined security workspace: Offers a user-friendly interface for security teams to monitor threats effectively, improving incident response times by reducing reliance on fragmented tools.
- Simplified testing environment: Empowers customers to assess Threat Defense capabilities without altering existing DNS configurations, minimizing disruptions during evaluation phases.
- Integrated asset data: Provides immediate context regarding the status of protected users, devices, and cloud workloads, facilitating speedier investigations.
These capabilities are designed to help organizations implement preemptive cybersecurity strategies, enhancing overall operational efficiency and reporting to boards, while also allowing for scalable protection through a flexible licensing model.
The necessity for robust DNS security is underscored in Infoblox’s recent 2025 DNS Threat Landscape Report, which noted the emergence of over 100.8 million new domains, with a significant portion deemed malicious. The report highlighted how threat actors frequently deploy large batches of new domains, which complicates traditional security measures reliant on prior threat detection.
To combat these challenges, Dr. Renée Burton from Infoblox emphasizes that analyzing DNS traffic can yield critical insights into emerging threats, transforming DNS data into predictive threat intelligence. By gathering and analyzing pre-attack telemetry, security teams can gain a deeper understanding of threats before they manifest, thus enhancing their defense capabilities.
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