Crest Data addressed these issues by creating a dedicated QRadar App for the customer that incorporates the customer’s cyber threat intelligence into the IBM QRadar platform. This solution rationalizes threat data to highlight targeted attacks that would otherwise have been lost as noise. This integration reduces the Mean Time to Detect (MTTD) by ensuring real-time correlation with high-volume security telemetry. The app also enriches alerts with detailed security context collected from the deep and dark web. This provides the analysts with all the information they need in a single location, enabling them to efficiently and proactively neutralize adversaries without having to toggle between various systems.

About the Customer

The client is a global leader in cybersecurity and is one of the fastest-growing companies in this sector. Their all-in-one external threat protection platform is purpose-built to counter cyberattacks that occur outside the enterprise perimeter. The customer’s strength lies in its robust cyber reconnaissance capabilities, which enable continuous monitoring of an enterprise’s external digital profile across the open, deep, and dark web. 

By highlighting new threats within these environments, the platform enables organizations to orchestrate proactive responses using custom threat intelligence that integrates seamlessly with existing security architecture for dynamic protection.

Customer Challenge

A Security Information & Event Management (SIEM) platform will only be as good as the quality of data it ingests. When a SIEM is inundated with unverified, raw threat data, the security teams are overwhelmed by false positives and fail to fully utilize the platform. For a SIEM to be effective, it requires robust support from other technologies like threat intelligence platforms that can efficiently refine and validate the data to be analyzed.

Another challenge is the quality of that intelligence data itself. Usually, the traditional signature-based reputation feeds provide information related to malware and global attacks. Although such information protects an enterprise against known threats, it is not enough to protect the enterprise against sophisticated targeted attacks. There is a strong need for threat intelligence that is adversary-focused, forward-looking, and customer-specific to ensure a holistic security posture.

Customer Solution

Crest Data developed a custom QRadar App for the customer that incorporates Cyber Threat Intelligence directly into the IBM QRadar platform to rationalize the threat data and bring to the fore targeted attacks that would otherwise be lost as background noise.

The solution has the following key features and benefits:

• Contextual Operational Intelligence: The integration correlates enterprise events to relevant threat intelligence, providing the Security Operations Center (SOC) team with rich security context and operational insights.
• Accelerated Detection (MTTD): The solution minimizes the Mean Time to Detect (MTTD) of advanced threats as it allows real-time correlation with high-volume security telemetry.
• Centralized Analyst Workflow: The app enhances alerts by providing context directly from the customer, providing analysts with all the information they need in a single place and eliminating the need to switch among various security systems.
• Proactive Adversary Neutralization: IBM QRadar enables detection and proactive mitigation to neutralize an adversary before they can affect the enterprise by efficiently utilizing the intelligence collected from the deep and dark web.

Outcomes 

The customer’s cyber threat intelligence was successfully integrated with IBM QRadar, yielding several key operational and strategic advantages:

• Reduced Mean Time to Detect (MTTD): The solution allows correlating high-volume security telemetry with custom threat intelligence in real-time, which greatly speeds up the detection of advanced threats.
• Improved Visibility and Reduced Noise: By rationalizing raw threat data, the integration surfaces attacks that otherwise would be lost in the noise. This enables the security teams to concentrate on the most significant risks.
• Enhanced Analyst Efficiency: The app enhances security context in alerts, enabling analysts to view such context directly within the platform, rather than having to switch across several systems to explore threats.
• Proactive Threat Neutralization: The enterprise is able to foresee the tactics of the adversaries and neutralize them proactively before they can affect the enterprise by making use of deep intelligence collected through the deep and dark web.
• Context-Rich Operational Intelligence: Better correlation of enterprise events with external threat data gives the SOC team actionable intelligence, as well as full security context, resulting in more informed decision-making.

About Crest Data

Crest Data is a data and AI-driven technology solutions provider for enterprises and technology innovators across cybersecurity and cloud security, helping them to move faster and more securely. Being a specialist in SIEM and SOAR optimization, we assist companies in attaining maximum visibility, provide speedy response, and extract value from security investments. With customized threat intelligence and security telemetry, we enable teams to identify targeted attacks and shorten the Mean Time to Detect (MTTD) by a large margin.