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Netenrich RightStart Services for Google SecOps Unlock the potential of Google SecOps Netenrich RightStart™ Services provides a comprehensive,...
4 min read
Netenrich : Mar 13, 2024 6:25:41 AM
Because a One-Size-Fits-All MDR ... Fits No One!
Not all businesses operate the same way, which is why a one-size-fits-all or standardized MDR has proven inadequate for two main reasons: (a) a constantly changing threat landscape for customers, and (b) a constantly changing internal business environment for customers.
Consequently, many MDR vendors are unable to continuously customize services to address the unique threat environments and evolving needs of their customers. Worse, these MDR services become black boxes, inundating internal security teams at customers with non-contextualized alerts while restricting system access and modifications.
To address these issues, Netenrich has introduced Adaptive MDR for Google Security Operations (Google SecOps), powered by Netenrich Resolution Intelligence Cloud technology. This solution seamlessly integrates our agile engineering-centric approach and MDR expertise with Google’s best-in-class SecOps technologies (SIEM, SOAR, Mandiant, Duet AI, UEBA, and more) and sub-second search speed. It operates on a continuous, agile engineering loop of three key components — data engineering, detection engineering, and response engineering — to deliver continuous detection and continuous response for customers. Through this offering, we help ensure adaptive, customized, and comprehensive protection for our customers.
Data engineering has become increasingly important for modern organizations, especially in the cybersecurity realm, where it plays a critical role in distilling and deciphering security telemetry from diverse sources. Without agile and quality data engineering, the sheer volume of data generated daily will likely overwhelm internal teams and hinder business progress.
By proactively engineering for quality data at ingestion, our security engineers set up a data pipeline for more intelligent, customized analyses downstream, while helping organizations make faster, data-driven decisions with respect to threat response and mitigation.
Moreover, Adaptive MDR addresses the crucial aspect of parser engineering, which many customers prioritize but lack the skills to execute. Our security engineers are able to write customized parsers for each environment because they understand the unique context around new data sources at a localized level.
Despite best-in-class detection rules provided by leading security vendors, adversaries are always evolving their tactics to bypass conventional detection measures and often fly under the radar by making seemingly legitimate moves within environments.
To address this issue and proactively respond to threats, it’s important to observe and baseline legitimate movements or behaviors in environments and use advanced analytics to identify deviations and anomalies that may indicate suspicious or malicious activities.
With Adaptive MDR, customers don’t need in-house data science expertise, as our agile detection engineering capabilities can effectively uncover the behaviors of sophisticated adversaries. Additionally, our solution is aligned with the MITRE ATT&CK framework and monitors both rules-based anomalies as well as behavioral deviations.
Our agile response engineering focuses on automating routine response tasks and orchestrating security technologies to streamline incident response and minimize the impact of security incidents. The process involves developing customized playbooks in Chronicle SOAR for each customer's environment and automating responses to manage and contain threats effectively. When a threat is detected, our security engineers quickly intervene by executing these playbooks in Chronicle SOAR, which can be programmed to take predefined actions, such as shutting down ports or quarantining servers, among other things.
Together, the three key components of Adaptive MDR operate as a continuous, agile feedback loop. When a response is executed, for example, quarantining a Linux server, it becomes a learning opportunity and prompts investigation into all other Linux servers. This agile approach emphasizes continual improvement and refinement based on ongoing insights and experiences. It also supports and optimizes hybrid SOC efficiencies and facilitates progress towards Autonomic Security Operations (ASO).
At the same time, Netenrich delivers the essential components of an MDR service, including:
Adaptive MDR for Google SecOps leverages Resolution Intelligence Cloud, our secure data analytics platform designed to operate at Google speed and scale. Integrated with advanced technologies such as SIEM, SOAR, TIP, and UEBA, the platform helps our customers unlock the full potential of data and automate cybersecurity operations for improved incident response and cyber resilience.
ENTITLEMENTS |
|
Data Engineering |
✓ |
Detection Engineering |
✓ |
Response Engineering |
✓ |
Mandiant Integration – on Managed Defense, Breach Analytics, and IR |
✓ |
VirusTotal Threat Intel Feeds Integration |
✓ |
Automated Response |
✓ |
Delivery of Use Cases |
✓ |
Reporting and Dashboards |
✓ |
Intelligent Routing |
✓ |
24x7 Monitoring and Escalations |
✓ |
Monthly Security Review |
✓ |
* For Google SecOps ENT & E+ SKUs
Our engineering-driven approach provides 24/7 uninterrupted protection with tangible results, including increased visibility; enhanced data hygiene, quality, coverage, lineage, and integrity; improved detection and analysis correlation to eliminate false negatives; reduced mean time to detect (MTTD) and mean time to resolve (MTTR); and improved task prioritization and overall operational agility and efficiency.
Learn more at www.netenrich.com.
Netenrich RightStart Services for Google SecOps Unlock the potential of Google SecOps Netenrich RightStart™ Services provides a comprehensive,...
Because a One-Size-Fits-All MDR ... Fits No One! Not all businesses operate the same way, which is why a one-size-fits-all or standardized MDR has...
Resolution Intelligence Cloud is a cloud-native data analytics platform for managing risk and optimizing overall operations, with the scale and speed...
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