Corelight and Cribl: Advancing Threat Detection Through Evidence-Based Strategies

In the current scenario, organizations face an ever-expanding array of challenges as they work to refine their detection capabilities, coverage, and precision. Data growth is happening at an extraordinary pace. When was the last time your network bandwidth decreased? What about the rising costs of data storage or your SIEM licensing? 

Complications often stem from using overlapping or poorly integrated tools, which produce disconnected data streams and create operational inefficiencies. Without the ability to link firewall IDs, alerts, or endpoint data, obtaining the high-quality information needed to provide alert context and conduct timely triage becomes nearly impossible. 

Can an Alert-Based Approach Keep Pace with Evolving Threats? 

An alert-centric strategy addresses security risks by identifying and reacting to known types of attacks. It operates on the concept of coverage, ensuring the system can detect and notify security teams of specific, pre-identified threat patterns. 

This method often generates large volumes of alerts, requiring advanced automation to manage and prioritize them effectively. Focused on endpoints, it enables rapid, targeted responses to incidents when an alert is triggered. 

While alerts are crucial, they only capture information about known threats. You can use them to respond to an incident, but this approach remains reactive. To stay ahead of the threat landscape, organizations are now incorporating evidence-based coverage derived from network data. 

The Future of Threat Detection lies in Evidence-Based Strategies 

By adopting a more proactive, investigative approach in addition to alert-based systems, organizations can better address modern security challenges. Evidence-based strategies collect and analyze network data to detect and neutralize sophisticated attacks that don’t align with known signatures or behaviors. 

By gathering comprehensive evidence, incident response (IR), analytics, and automated security processes are enhanced. Evidence-based methods offer a broader, network-centric view, allowing security teams to observe and collect a wide range of data. This is essential for identifying subtle, advanced threats that might evade detection through conventional alert-based methods. 

Integrating Alert-Based and Evidence-Based Approaches 

The emergence of the Log4Shell vulnerability underscored the importance of detection. The challenge it presented was determining the extent of the vulnerable class across various systems and software. Security teams struggled to assess where vulnerabilities existed to prevent exploitation. In such cases, alerts were pivotal for detection and response. 

Conversely, the SolarWinds attack illustrated the importance of maintaining detailed logs. Organizations had to examine events from six to nine months prior, highlighting the critical role of evidence in tracing adversarial activity. Comprehensive monitoring tools and log management were essential in revealing prior breaches. 

Boosting Security Capabilities with Corelight and Cribl 

Corelight and Cribl are aiding security teams in meeting these advanced security challenges by enabling the deployment of evidence-based strategies. Corelight delivers detailed network transaction logs and insights from network traffic, while Cribl’s observability pipeline processes, transforms, and routes this data. 

Together, Corelight’s network data is ingested into Cribl, where it is enriched, normalized, and sent to analytics platforms, SIEMs, or storage solutions. This partnership allows organizations to optimize security data, manage costs by filtering unnecessary data, and improve operational efficiency by ensuring high-fidelity data is ready for analysis. 

The Corelight Pack for Cribl Stream 

The Corelight Pack for Cribl Stream simplifies integration and management of data from Corelight sensors. This pre-configured package streamlines parsing, ensuring that complex network traffic is transformed into a structured, usable format. 

It also includes enrichment features, adding contextual details that enhance data’s value for threat analysis. By using this pack, organizations can efficiently process Corelight’s extensive data, accelerating and improving their incident response capabilities. 

The Corelight Pack minimizes the issues caused by data proliferation and tool fragmentation by providing a cohesive platform that not only enhances the detection of known threats but also helps uncover previously unknown risks. 

Leveraging Network Evidence for Effective Defense 

A recent Corelight customer targeted by ransomware successfully used their deployment to rapidly trace the breach’s origin, assess its spread, and identify impacted areas. They found the compromised data to be obsolete, and the attacker had not infiltrated other parts of their network. This confidence allowed them to avoid paying the ransom and continue their operations without disruption. 

By combining the capabilities of Corelight and Cribl, organizations can convert adversarial traces into actionable evidence, building a stronger defense and enabling well-informed business decisions. This powerful combination enhances visibility, strengthens detection, and accelerates investigations while preserving data integrity. 

About Cribl 

Cribl enables organizations to transform their data strategies by offering solutions for collecting, processing, routing, and analyzing IT and security data. Cribl’s suite of products provides the flexibility and control necessary to address evolving challenges. 

Cribl Stream stands at the forefront of multiple data source integration technology, transforming the way organizations approach data management. By offering robust support for various data sources and flexible integration capabilities, Cribl Stream not only simplifies the complexity of data aggregation but also enhances data quality and accessibility. Corelight and Cribl: Advancing Threat Detection Through Evidence-Based Strategies