Detection Engineering
Our detection engineering services are crafted specifically for your unique needs, ensuring proactive threat hunting, advanced detection capabilities, and an enhanced security posture.
What is Detection Engineering?
Detection engineering involves creating specialized, tailor-made detection mechanisms designed to identify specific threats and anomalies unique to your IT environment. While default rules provided by SIEM solutions like Microsoft Sentinel and Splunk offer baseline security, they often fall short in addressing the unique threats specific to your organization.
Detection engineering bridges this gap by allowing you to design and tweak advanced hunting queries. These customized detection mechanisms enable proactive monitoring of various events and system states, including suspected breach activity and misconfigured endpoints. By enhancing your ability to detect, alert, and respond to threats that standard rules might miss, detection engineering ensures a more robust and responsive security posture.
The benefits of Detection Engineering
Enhanced Threat Detection Detection engineering creates tailored detection mechanisms to identify threats specific to your organization, improving the detection rate of sophisticated attacks.
Regulatory Compliance Helps in meeting compliance requirements by monitoring and reporting on specific events as mandated by regulations.
Reduced False Positives Fine-tuned detection mechanisms minimize false alarms, ensuring your security team can focus on genuine threats.
Improved Response Times Enables faster detection and response to threats, reducing potential damage and downtime.
Why Choose for Detection Engineering by WebSec?
Core features
Expert Custom Rules Craftsmanship
Developed by seasoned security professionals with deep expertise in SIEM solutions and query languages.
Tailored Solutions
Detection mechanisms designed specifically for your organization's unique environment and latest threat landscape.
Comprehensive Coverage
Extends beyond default SIEM capabilities to cover all potential attack vectors.
Continuous Improvement
Regular updates and fine-tuning of detection mechanisms to adapt to evolving threats.
Proactive Threat Hunting
Identifies and mitigates threats before they can cause significant harm.
Regulatory Compliance Support
Assists in meeting industry-specific compliance and regulatory requirements.
Query Languages We Work With
Embrace the versatility of our Custom Detection Rules service. Supporting KQL, SPL, EQL, and YARA, we ensure every organization finds insightful and constructive solutions, regardless of their platform preference.
Custom Detections in KQL
Enhance your Microsoft Sentinel SIEM with our expert-led KQL custom detection rules. Boost efficiency, accuracy, and performance, ensuring your SIEM solution is always top-notch.
Custom Detections in SPL
Transform your Splunk SIEM capabilities with our detailed, expert-driven SPL custom detection rules. Improve accuracy, efficiency, and overall performance, elevating your security measures.
Custom Detections in EQL
Maximize your Elastic Stack SIEM with our in-depth, expert-guided EQL custom detection rules. Enhance readability, efficiency, and detection accuracy, ensuring robust threat detection.
Custom Detections in YARA
Advance your threat hunting with our expert-crafted YARA rules. Improve your ability to detect and respond to malware and other threats, ensuring your SIEM solution remains resilient and reliable.
Custom Detections in MQL
Optimize your Google Cloud SIEM with expert-crafted MQL rules. Improve detection and response to threats, ensuring your SIEM solution remains resilient and reliable.
We also support
Ariel (IBM QRadar)
Rego (Datahog Cloud SIEM)
LEQL (InsightIDR)
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Detection Engineering Process
In today's threat landscape, having custom detection rules is crucial for robust security monitoring. Our DTAP approach for developing these rules ensures comprehensive coverage and effectiveness. This methodology methodically enhances your security posture, from initial request to deployment. Each step ensures that your systems are well-protected and your detection capabilities are optimized.
A stakeholder submits a request specifying the need for a new detection rule, detailing the security requirements and objectives to address.
Conduct a planning session to outline the project scope, objectives, and deliverables. Identify necessary resources, define timelines, and set milestones for successful implementation.
Gather requirements to understand specific needs and identify key threat scenarios. Design custom detection rules using the most appropriate query language for optimal performance and accuracy.
Conduct initial testing in a controlled environment to verify accuracy and performance. Use simulated attack scenarios to ensure the rules can effectively detect threats.
Deploy detection rules in a staging environment for User Acceptance Testing (UAT). Allow your security team to test the rules in real-world scenarios and provide feedback.
Seamlessly integrate custom detection rules into your live SIEM environment. Monitor deployment to ensure rules function as intended and provide ongoing support and updates.
Detection Engineering FAQ's
Detection engineering involves creating specialized detection mechanisms and custom detection rules designed to identify specific threats and anomalies unique to your IT environment. These mechanisms and rules bridge the gap left by default SIEM rules, allowing proactive monitoring and response to threats.
Detection engineering involves defining specific threats or anomalies to monitor, writing the appropriate query in the SIEM's query language (like KQL, SPL, or MQL), and setting parameters for alerts and actions. This process ensures the custom detection rules are tailored to your organization's unique needs.
Detection engineering enhances your SIEM by providing tailored threat detection and alerting. Custom detection rules allow you to monitor specific events and system states, improving overall security posture and reducing false positives. This leads to a more efficient and effective security operation.
You need custom detection rules to address the unique threats and anomalies specific to your organization. These rules enable proactive threat hunting and ensure comprehensive security coverage.
1. What are the limitations of default detection rules?
Default detection rules provided by SIEM platforms are designed to cover common threats but may not address specific vulnerabilities unique to your organization. Custom detection rules fill this gap, providing a tailored approach to threat detection.
2. How can custom detection rules benefit my organization?
Custom detection rules can help your organization by providing targeted threat detection, reducing the risk of undetected attacks, and improving compliance with security standards. They offer a higher level of protection and adaptability compared to default rules.
Custom detection rules are crafted by cybersecurity experts known as 'Detection Engineers' who understand your specific environment and threats. They use advanced query languages like KQL, SPL, and MQL to develop effective and efficient detection mechanisms. Creating effective custom detection rules requires a deep understanding of cybersecurity principles, knowledge of the specific SIEM platform and its query language, and the ability to analyze and interpret security data. Regular updates ensure the rules remain effective in detecting and responding to emerging threats.
Custom detection rules should be regularly updated to adapt to evolving threats and changes in your IT environment. Regular updates ensure that the rules remain effective in detecting and responding to new and emerging threats.
Clients can also send tweak requests, such as updating watchlists, redesigning existing rules or upgrade existing rules to a newer versions when required. This ensures that the detection rules stay relevant and effective against the latest threats.
Detection engineering mechanisms and custom detection rules can monitor a wide range of events, including suspected breach activity, misconfigured endpoints, unauthorized access attempts, and anomalous behavior patterns. These rules are customizable to fit your specific monitoring needs.
1. Can custom detection rules detect both internal and external threats?
Yes, custom detection rules can be designed to detect both internal and external threats. They can monitor for insider threats, suspicious user behavior, and external attacks, providing comprehensive coverage. Of course this can
2. What specific anomalies can custom detection rules detect?
Custom detection rules can detect anomalies such as unusual login patterns, unexpected changes to system configurations, unauthorized data access, and other indicators of potential security breaches.
3. How do custom detection rules adapt to new threats?
Regular updates and fine-tuning of custom detection rules ensure they remain effective against emerging threats and evolving attack methods.
4. How comprehensive are custom detection rules?
Custom detection rules can be fine-tuned to be very comprehensive, covering various types of threats and anomalies tailored to your organization's specific needs.
We ensure the accuracy and quality of custom detection rules through a DTAP (Development, Testing, Acceptance, and Production) procedure. This involves quality assurance processes where our security specialists work under a four-eyed principle, with one acting as the detection engineer and another as the QA engineer. We perform end-to-end tests in collaboration with stakeholders to ensure the rule works. Testing methods include running detection rules against historical data, simulating attacks, and monitoring in live environments. Upon successful testing and stakeholder acceptance, we finalize the rule development request.
We can only start working on custom detections when all connectors are working correctly. By connectors, we mean the assets that deliver the logs, such as EDR/XDR solutions, vulnerability scanners, and other log sources.
It is essential that these connectors are properly onboarded and connected to the SIEM solution. We need to ensure that the log sources are correctly working and that we can see the logs coming in within the SIEM. Once these conditions are met, we can proceed with creating custom detection rules tailored to your organization's specific needs.
Stakeholders play a crucial role in the development of custom detection rules by providing essential input and feedback. We collaborate closely with stakeholders to perform end-to-end tests, ensuring the effectiveness of the rules. Their acceptance is necessary for finalizing and closing the rule development request.